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Best College for Mechanical Engineering in India [2022]

Mechanical engineering is one of the most in-demand courses in India today. Millions of students are now coming up with the desire to pursue a degree in mechanical engineering from the top Indian institutes. Mechanical engineering is such a field that is required in every industry which is why it offers a wide range of career opportunities to millions of job aspirants.

Also, it is the dream of every aspirant to study in the best colleges in the country and make a rewarding career. This blog covers in-depth details about the best colleges for mechanical engineering in India.

Best College for Mechanical Engineering in India [2022]

There is no dearth of the best mechanical engineering colleges in India but when it comes to making a great career, then one must choose the best college. Let’s walk through the top 5 colleges for mechanical engineering in India that can help you to make a decision:

 

1. Vellore Institute of Technology (VIT), Bhopal

VIT also known as the Vellore Institute of Technology is one of the best colleges for mechanical engineering in Central India, that is known for imparting quality education and achieving great heights of academic excellence. It has also captured the number one ranking as the “top innovative private Institution” by ARIIA 2019 Govt. of India.
The school of mechanical engineering and VIT Bhopal mainly focuses on offering extensive training in design, developing problem-solving skills, analytical skills, simulation applications in the students. The students are also given hands-on training on the latest software tools and are also taken to various field visits in different manufacturing industries. It also has an experienced team of faculty.

2. Indian Institute of Technology Delhi

If you consider starting in the best college for B.Tech in Mechanical Engineering in Delhi then the Indian Institute of Technology Delhi College of Engineering is the best option for you. This college was established in the year 1961 with top-notch degree courses in Applied Sciences and Engineering. The college also provides the best facilities for undergraduate and postgraduate studies in the field of mechanical engineering. It offers 3 mechanical engineering degree programs including M.S., M.Tech, M.Sc., MBA, M.Des., and doctoral (Ph.D.) courses.
The college has over 521 faculty with 9586 student enrollment. The college also offers the best research and development programs including laboratory development and leadership in curriculum planning.

3. Noida Institute of Engineering Technology (NIET)

NIET is one of the best colleges for mechanical engineering in Greater Noida. The Institute is Accredited by NBA & has also been conferred as “EXCELLENT” under the category Colleges/ Institutes in India. The department of Mechanical Engineering at NIET constantly strives to achieve excellence in the field of academic, education, and industry-oriented research.
The department is accredited by NBA and has a group of skilled faculty members. The department maintains active research groups in order to carry out interdisciplinary and collaborative research. The faculty members are also engaged in research activities in the field of mechanical engineering and the upcoming areas. In order to meet the research requirements, a new laboratory has been founded by the AICTE. The department also aims to offer the students with the perfect blend of practical and intellectual experience that can help them to serve society in a better way.
The department of mechanical engineering has a computer integrated manufacturing Lab that consists of CNC Milling, CNC Lathe, CNC Drilling, Workstations, and various other types of software like Autodesk Inventor, Autocad, Nastran-NX, Solidworks, Abacus, Ideas, etc.
The best part of pursuing mechanical engineering at NIET is the top infrastructural facilities. The department has multiple labs that meet the requirements of the students. This includes:

  • Applied Solid Mechanics Laboratory
  • Advanced Materials Laboratory
  • CAD and RP Laboratory
  • Computational Manufacturing Systems Laboratory
  • CAM & Manufacturing Science Laboratory
  • Advanced Fluid Mechanics Laboratory
  • Refrigeration and Air Conditioning
  • Heat Transfer Laboratory
  • Manufacturing Laboratory
  • Engine Research Laboratory
  • Metrology Laboratory
  • Vibration Laboratory
  • Smart Materials & Structures Lab

The college is also currently developing a 3D printing lab for product realization and concept designs. This lab will facilitate the students by evolving the concepts and converting those into a complete product. The process of simulation, designing, and prototyping would take place in a complete digitally-integrated environment. If you want to take Mechanical Engineering as your career, then NIET would be the best institute for you.

4. Indian Institute of Technology – Bombay

The Indian Institute of Technology Bombay is per has one of the oldest technical institutes which was founded in the year 1958. This college is renowned as one of the top educational institutions for its excellence in imparting educational training and research programs in engineering sciences and other academic disciplines.

Interestingly, the college has up to 12 different degree courses from which a candidate can choose. There are a total of 4 available programs for mechanical engineering in this particular Institute. If a student wants to enroll in BTech mechanical engineering course, then it will cost him or her an amount of Rs 8.46 lakhs. IIT Bombay is accredited by the Department of Higher Education of the Ministry of HRD and is also considered as one of the best Btech mechanical engineering colleges in India.

5. Manipal Institute of Technology, Manipal

The Manipal Institute of Technology is yet another best college for mechanical engineering in India. Established in the year 1957, it is one of the first self-financing engineering institutes in India. Basically, Manipal Institute of Technology is known for its mechanical engineering course and it offers complete full-time bachelor’s and postgraduate programs in mechanical engineering.

As in whole, it offers 46 engineering programs. The college has a total of 636 faculty and 8666 student enrollment. Here’s what the college has to offer when it comes to pursuing a mechanical engineering program: B.Tech Mechanical Engineering, M.Tech Tribology, and Maintenance Engineering, and B.Tech Mechanical Engineering Lateral Entry. Manipal Academy of Higher Education is accredited by the NAAC.

Conclusion

Mechanical engineers play a vital role in the operation, development and manufacturing of new devices, machines and processes to benefit the entire mankind. They are required to apply their creative imagination and professional skills in different situations. By opting for the best college for mechanical engineering in India, you are paving your way to becoming the best mechanical engineer in the nation.

Join the best colleges for mechanical engineering in North India, NIET

If you are on the hunt for the Btech mechanical engineering colleges in India, then NIET is the only institute that can not only offer you the best state-of-art infrastructure and quality education but also ensure 100% placement in your dream company. The vision of the mechanical engineering department of NIET is to deliver an outcome-based education and provide opportunities to the students to apply, interpret and disseminate knowledge.
The faculty of the institute makes the students capable of applying their engineering and scientific skills to analyze, design, and solve different kinds of real-life problems. In order to lead a successful career in the mechanical engineering industry, get started with NIET today. Check out the mechanical engineering course details to know more.

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Key Skills Required for Mechanical Engineer

Mechanical engineering is the design, study, development, testing, construction of thermal and mechanical sensors and devices, including engines, tools, and machines. Mechanical engineering as a career caters to creating technologies for meeting a wide range of human needs. The subjects include manufacturing engineering, automobile engineering, power plant engineering, mechatronics engineering, Thermal Engineering, and others. 

Mechanical engineers generally work in offices but sometimes need to go for field visits when a problem or equipment requires personal attention. Mechanical Engineering has its roots right from the industrial revolution to the advent of automated manufacturing, steam engine, and demand for railroad transportation.

Currently, mechanical engineering is one of the most in-demand career options that let the aspirants earn a handsome salary with great job satisfaction. One can pursue BTech in mechanical engineering to initiate a career in the same. Later, they can continue with higher studies like Mtech in mechanical engineering for better career exposure.

This blog in general covers what mechanical engineering is all about, what key skills, technical skills, communication skills, personal skills, professional skills, and software skills are required to be a successful mechanical engineer. Also, the blog covers details about how you can improve your mechanical engineering skills and what are the trending skills that are required for the present-day resume. Keep reading.

What Key Skills Do You Need to Be A Mechanical Engineer?

Having the right skill set is extremely crucial to becoming a good Mechanical Engineer. Students need to acquire a few key skills sets in order to make it big in the field. Check out some of the key skills for the mechanical engineer:

  1. Technical Skills Required for Mechanical Engineer

The technical skills of mechanical engineers must necessarily include product design, proficiency in utilizing mechanical engineering tools, proficiency in handling different computer software, and mathematical skills. Product designing is the creation and evaluation of new products in terms of customer functionality and requirement. Now, this is where the mechanical engineers need to understand the complete product design and development process. They must also have utilized a few common mechanical engineering tools like ohmmeter 3D printers, cold forming processes, calipers, and other tools. Also, they need to have prior experience using different software programs like Computer-aided manufacturing, Computer-aided design, and others.

  1. Communication Skills for Mechanical Engineers

Often, mechanical engineers have to develop products for their clients. They might have to explain complex devices on machines to people who are not at all familiar with mechanical engineering. Thus, they need to convey their ideas very precisely, clearly, and effectively, which requires strong communication skills. 

  1. Personal Skills for Mechanical Engineer

Mechanical engineers are required to have a strong analytical thinking so that they can solve problems that are raised by their employer or client. They need to analyse the results, adjust the designs if required, test and develop prototypes, design various mechanical device projects, ensure designs meet the safety requirements and legal guidelines, and lots more. 

Mechanical engineering also entails the development and designing of products that range from batteries to medical devices to electric generators. Therefore, inventing products requires a lot of creativity which needs to be delivered within the challenging timeframes. 

  1. Professional Skills of Mechanical Engineer

Mechanical engineers work with people who are not always from their domain, like architects or computer scientists. In such cases, they need to have a team working and professional spirit with the members of other departments for developing successful and effective products.

  1. Software Skills for Mechanical Engineer

Mechanical engineers make use of different computer programs and software applications. Employers these days prefer candidates who have good experience in using software programs like computer-aided manufacturing (CAM), computer-aided design (CAD), finite element analysis (FEA), construction software, visual basic for applications (VBA), and Microsoft Excel. Having prior knowledge of all of these programs will be useful for one’s productivity and efficiency. 

Also read: Mechanical Engineering: A Good Career Choice, Undoubtedly!

How to Improve Your Mechanical Engineering Skills

Here are the top ways of enhancing your mechanical engineering skills:

  1. Pursue an advanced degree or certification

After completing your BE or BTech in mechanical engineering, you can pursue advanced degrees and certifications to sharpen your existing skills. For example, you can get certifications in HVAC, robotics, and CAD/CAM software. These advanced degrees and certifications are some of the desirable credentials which you can showcase as your expertise and qualification in mechanical engineering while you apply for jobs. 

  1. Read professional development books

In order to advance your career in the mechanical engineering domain, you need to focus a lot on reading books that can improvise your problem-solving skills and boost your workplace productivity. This kind of reading will help you to understand things from a different perspective. 

  1. Learn from skilled and experienced professionals

Work with experienced and skilled professionals in order to identify your weaknesses. With their guidance and advice, you can improve your skills and master a successful career. 

Also read: What Does a Mechanical Engineer Do (Roles and Responsibilities)?

Mechanical Engineering Skills for Resume

Highlighting the right skills on your resume shows the employer that you are a good fit for the vacant position. But before listing down the key skills in your resume, know the job description well, and then jot down the skills required in order to grab a mechanical engineering job. Some of the common skills that can be included in a resume include:

  • Analytical and creative thinker. 
  • Excellent mathematical skills. 
  • Knowledge of 10 + mechanical engineering tools. 
  • Great problem-solving skills. 
  • Ability to create high-end and innovative product designs.
  • Great communication and listening skills.

Also read: Mechanical Engineering Interview Questions and Answers 2021 [Fresher & Experienced]

Final Thoughts

In a world full of cut-throat competition, organizations are now moving from the traditional ways to working with operational excellence. A career in mechanical engineering is both intrinsically rewarding and highly creative. An engineer with a solid educational background and training can grab a high paying Mechanical Engineering job. Few skills and abilities for mechanical engineering must be met for grabbing the right job. By developing the key skills, one can boost their chances of getting different opportunities and land into the best job.

Begin a rewarding career in mechanical engineering with NIET

NIET has been best known for imparting world-class education and is regarded as one of the top private-sector technical colleges in India. It offers excellent opportunities to students to broaden their experience to develop their skills and strength and their knowledge so that they would come under the eyes of potential employers. 

Pursue an industry oriented mechanical engineering course at NIET and lead your way to a rewarding career. The department constantly strives to achieve excellence in education giving the students the best exposure to the state-of-art laboratories that help them gain both intellectual and practical experiences. The college sets up campus recruitment every year, which has actually got a pool of mechanical engineering graduates placed in different multinational companies. 

If your interest lies in exploring the field of Mechanical Engineering, then NIET is the best place for you. To know more about the program objectives, curriculum structure, academic amenities, and the entire course details, apply today at the top and the leading mechanical engineering college of India, NIET. 

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Key Difference Between Machine Learning (ML) and Artificial Intelligence (AL)

artificial intelligence and machine learning

Often people tend to get confused between the terms Artificial Intelligence and machine learning. Although they are synonymous with each other yet different. These two terms have their own rules to play. Artificial Intelligence and Machine Learning is a technology that enables a machine for simulating human behavior. The goal of such advanced technologies is to make a computer system smart like humans in order to solve complex problems. This blog covers the key differences between artificial intelligence and machine learning, its meaning, functions, job skills, type of job opportunities, salary offered, career scope, and other differences with examples.

What Is the Difference Between Artificial Intelligence and Machine Learning?

A career in artificial intelligence and machine learning can be promising. The capacity of a computer-controlled framework to perform errands that are primarily connected with individuals is called Artificial Intelligence (AI). The AI is a re-enactment of a machine’s natural intelligence that is really customized for imparting and learning human activities. They can perform human-like tasks, and innovations converging with AI are proceeding to develop.

Machine learning is a piece of Artificial Intelligence that permits programming applications in turning out to be more exact at foreseeing results without the need of being unequivocally customized. The AI calculations use chronicled information as a contribution for anticipating late result values. Machine learning is crucial as it provides the endeavor with the right perspective on ongoing patterns in business activity examples and client conduct that upholds the advancement of new products.

  1. Artificial Intelligence Vs Machine Learning: Meaning

AI or Artificial Intelligence is mainly defined as the ability to implement and gain knowledge, while machine learning or ML is defined as an additional skill or knowledge. Machine learning is a subset of artificial intelligence. It explores how a computer can perform certain tasks efficiently by learning from the environment or the input given. It is actually focused on developing smart computer programs. Artificial intelligence, on the other hand, focuses on applying for these smart programs in order to develop intelligence in machines.

  1. Artificial Intelligence Vs Machine Learning: Aim

AI or artificial intelligence aims to boost the chances of success, and machine learning tends to boost accuracy but does not concern much about the success rate.

  1. Artificial Intelligence Vs Machine Learning: Functioning

Functions like a computer program that accomplishes intelligent work. The main objective is to mimic natural knowledge in order to find solutions for complex issues. It is dynamic and leads the development of a framework to mimic human intelligence. Machine learning, however utilizes the playing concept of data collection and learning from machines. The main objective here is to gain data on a few specific tasks for maximizing the performance of the machine. ML enables the assistance to take in new things right from the data. It includes the development of self-learning algorithms.

  1. Artificial Intelligence Vs Machine Learning: Skills Required

In order to pursue a career in artificial intelligence, one needs to have a few key skills like knowledge of linear algebra and statistics, programming languages, Signal Processing techniques, neural network architectures, and others. On the other hand, the machine learning professional must-have skills like knowledge of cloud environment in virtual machine databases and python MapReduce and Hadoop, Data analysis and feature engineering, mathematical abilities, and others.

  1. Artificial Intelligence Vs Machine Learning: Jobs

A graduate from the artificial intelligence domain can apply for jobs like big data engineer, business intelligence developer, data scientist, research scientist, AI data analyst, product manager, AI engineer, robotic scientist, and several others. Whereas, a machine learning graduate can apply for jobs like machine learning engineer, data scientist, human-centered machine learning designer, computational linguists, software developer, and others.

Read more: B.Tech in Artificial Intelligence and Machine Learning: Opens Doors to a Variety of Careers

  1. Machine Learning Vs Artificial Intelligence: Salary

Both AI and ML careers not only have good earning potential but also have bright career prospects. A mid-level experienced artificial intelligence professional earns Rs 8 Lakh per annum, whereas a machine learning professional earns Rs 7 Lakh per annum in India.

  1. Artificial Intelligence Vs Machine Learning: Scope

Artificial Intelligence and Machine Learning in India have greatly impacted the development of applications, tools, and various other aspects of the IT industry. Artificial Intelligence and machine learning see a great career scope in different industries, including chatbots, education, healthcare, transport, manufacturing, home, agriculture, and cybersecurity.

Read more: Scope of Artificial Intelligence Technology in Future

  1. Difference Between Artificial Intelligence and Machine Learning with Examples

Artificial intelligence is all about acquiring knowledge and then learning how to apply it properly, whereas the goal of machine learning is to allow the machines to learn from the current data for giving an accurate input. The main difference between both Artificial Intelligence and machine learning can be understood by its examples.

For example, the main application of artificial intelligence includes customer support utilizing chatbots, Siri, online game playing expert systems, intelligent humanoid robots, etcetera. Again, the example of machine learning can be understood with its main applications like the online recommender system, Facebook auto friend tagging suggestion, Google search algorithms, and others.

Summary

Opting for a career in artificial intelligence and machine learning offers one with a pool of opportunities. Since this area is still growing and ever-evolving, therefore the demand for AI and ML graduates are high in different business sectors. By opting for a BTech course in artificial intelligence and machine learning, a student can get hands-on experience in different industrial projects and would learn the unique and best AI and ml techniques tools, methods, and their application in real life.

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Emerging Trends in Mechanical Engineering (Recent Trends) – Industry 4.0

What is Mechanical Engineering in Industry 4.0?

Are you curious to know what industry 4.0 meaning is? Industry 4.0 is a mechanical engineering movement that focuses on data interchange and automation in manufacturing processes and technology.

As Industry 4.0 becomes more widely implemented, mechanical engineers looking to the future will benefit from a thorough understanding of the new technologies involved with it. Employees will have additional options to upskill and develop their careers as more organization implement these technologies.

What is the Role of Mechanical Engineers in Industry 4.0?

The mechanical engineering business has always been a powerhouse, requiring strong mechanical engineers to sustain industry growth. While the sector’s skill requirements are evolving due to digitization, mechanical engineering knowledge remains in great demand.

While Industry 4.0 has been revolutionizing industrial operations for several years, no one could have predicted the digital acceleration that Covid-19 has brought. Many firms are increasingly looking to these technologies to assist recover and restore lost earnings, while they were previously regarded non-urgent due to the time, money, and expertise required to implement them.

Read More: What Does a Mechanical Engineer Do (Roles and Responsibilities)?

Emerging Trends in Mechanical Engineering in Industry 4.0

The following are some of the recent trends in mechanical engineering of Industry 4.0:

1. Additive Manufacturing (AM) or 3D Printing:

Additive manufacturing, one of the emerging trends of Industry 4.0 adds material to a 3D item, as the name implies. 3D Printing is another name for additive manufacturing. Additive Manufacturing is a method in which an object’s model is built in any modelling software (CAD software) and saved in the .STL format. Standard Triangular Language is abbreviated as .STL. The item is “sliced” into ultra-thin layers in this way. Each subsequent layer of partially melted or molten material adheres to the previous layer.

2. Interconnected Machines:

Machines interconnected or Machine to Machine (M2M) in the sense that there is direct communication between devices through a communication channel, whether wired or wireless. Machines Interconnection refers to the industrial instrumentation that allows sensors to exchange data. The growth of IP networks has made machine-to-machine communication faster and easier all across the world while consuming less power. These networks provide suppliers and consumers with new business prospects.

3. Internet of Things (IoT):

It is one of the advanced trends in mechanical engineering, in this system, no human interaction is required. Every system is controlled by devices that are connected to it. It is a system of mechanical and digital equipment that have been given unique identifiers (UIDs) in order to transfer data across a variety of networks. Wireless sensor networks, embedded systems, automation, control systems, and other traditional fields all contribute to enabling the Internet of Things. Thermostats, security systems, automobiles, alarm clocks, electronic appliances, lights in business and residential settings, vending machines, speaker systems, and other devices are examples.

4. Smart Factory:

A smart factory is an IoT idea that envisions a manufacturing environment as a completely automated and intelligent network of systems that allows facilities, machines, and logistical chains within the manufacturing facility to be operated without human interaction. Furthermore, a smart factory is a location where all of these things occur as a result of data exchange between all elements in the production technology chain, not only between production tools and machines. This, in turn, supports machine learning, allowing operations to be carried out more efficiently and cost-effectively than they could be if humans entirely supervised production processes.

5. Data Visualization:

Although the importance of data visualization as a tool for I4.0 is widely recognized and well documented, many manufacturing industries have been slow to adopt such tools, possibly due to a lack of skills and knowledge. Manufacturing contains complicated multivariate systems that generate large volumes of high-velocity data, posing a tremendous computing challenge to assemble, evaluate, and obtain insight into this data; for many, returning real-time process knowledge is a daunting undertaking. Clearly, the creation of one-stop-shop solutions that provide a bird’s-eye view of enormous datasets delivers crucial process insight in a far more efficient manner.

6. Big Data Analytics and Advanced Algorithms:

Addressing the majority of the innovation issues requires digital transformation, which is one of Industry 4.0’s pillars. It demonstrates the methodology, development, and implementation of a new cloud computing platform for collecting, storing, and processing data from store floors. Manufacturing shop floors employ connected, intelligent gadgets that generate thousands of data points that, once computed, provide a significant amount of value. The platform is created with the goal of reducing the complexity and expenses associated with its deployment.
Read More: Mechanical Engineering: A Good Career Choice, Undoubtedly!

Conclusion:

As these technologies advance, new opportunities for experienced engineers will emerge. According to the US Bureau of Labour Statistics, employment in the engineering business is expected to expand by 3% between 2019 and 2029, adding about 75,000 new positions. Many individuals believe that the arrival of new technologies like artificial intelligence (AI), automation, and machine learning will have a negative influence on traditional engineering jobs. The demand for engineering innovation, on the other hand, is growing, as are coming in forefront future trends in mechanical engineering.

Mechanical Engineering Interview Questions and Answers 2022 [Fresher & Experienced]

Apply for a B. Tech in Mechanical Engineering and start your journey to a rewarding profession NOW:

It is obvious that Mechanical Engineering has a promising future. With the advancement of technology and industrialization, particularly in the 4.0 version, the future of a degree in this sector seems bright.

If you want to know more about latest trends in mechanical engineering, or want to pursue a degree in Mechanical Engineering but are uncertain about the procedures, such as how and when to apply, check out NIET’s Mechanical Engineering course admission programme. Fill out the form at the link for more information on the available and popular programs.

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Career Options in Electronics and Communication Engineering

electronic communication system

Engineering is one circle that has its application in different domains and sectors. Right from the utilization of mobile phones and their vehicles, engineering is everywhere. Wherever you see and whatever you see, it is just the engineer’s work and creation. With various scopes in this domain, engineering is one of the most opted and sought-after courses that millions of students pursue.

Engineering as a branch has different domains including, chemical engineering, Aeronautical Engineering, Computer Science Engineering, Civil Engineering, Electrical and Electronics Engineering, Engineering Management, mechanical engineering, biomedical engineering, electronics and communication engineering, and architectural engineering.

Today, in this blog, we will be discussing all about electronics and communication engineering, its career options, the scope of jobs, a list of Government jobs and private jobs, and career growth.

Best Career Options for Electronics and Communication Engineers in India

If you are an aspiring ECE engineer, then you would be glad to know that there is no scarcity of opportunities after you complete your BTech. India has a presence of the best colleges for ECE that help the student in making a great career in the same. Also, there is a high demand for electronics and communication engineering graduates in different industries with a noteworthy salary package.

Electronics and communication engineers are widely employed in different Government and private sectors where they are generally working as project engineers, scientific officers, technical officers, surveyor engineers, combined defense service officers, graduate apprentices, and much more.

The Electronics and Communication engineer can also apply for different core and non-core jobs. For example, in the core jobs for the ECE students, they need to work directly in the electronic field and get the core task achieved. Companies like Wipro, Bajaj Electricals, Schnieders Electric, Bharat Heavy Electricals, Havells, Exide, Tata electric, and other companies offers some excellent opportunities for the core ECE jobs. While the non-core electronics and communication engineering jobs include working in the IT domain under the designation of programmers, software engineers, technicians, chief engineers, and so on.

For pursuing a career in electronics and communication engineering, you can either go for BTech in ECE or a diploma in ECE or Mtech in ECE. With higher qualifications, you will be eligible to get high package job with other amenities.

Also read: 10 Fantastic Jobs Where An ECE Engineer Will Boost Your Career

 

  1. Jobs for Electronics and Communication Engineers in Govt Sector

Here is the list of government jobs for electronics and communication engineers:

  1. Bank jobs – Although, it is quite uncommon that the ECE engineers are also hired for different positions of junior engineers and technicians in various Government and semi-government banks. Some of the big conglomerates include SBI, which hires engineers every year. For getting a job in the sector, you need to keep a constant update and check on the different bank websites, keep note of the examination and interview dates.
  2. Defense jobs – If you have a vouch of patriotism and looking forward to serving your country in the best possible way, then you can definitely apply for defense jobs in the Indian Army, Indian Navy, and Indian Air Force. Defense sectors hire electronics and telecommunication engineers most specifically by conducting examinations like DRDO. All you need to do is to keep a check on the websites of three different defense sectors to know about the upcoming examination, interview schedules, and other selection procedures.
  3. Teaching jobs – If teaching is your passion, then after completing your BTech, you can sit for examinations like GATE. Once you qualify for this examination, you will be automatically eligible to apply for the top teaching positions in various BTech colleges. Also, if you complete your Mtech in the same, then you can go for applying for teaching jobs at the associate level.
  1. Jobs for Electronics and Communication Engineers in the Private Sector

Here is the list of private jobs for electronics and communication engineers:

  1. Electronics engineer– Their responsibility is to work on the system that controls the data flow like communication and broadcasting.
  2. Production manager– A production manager is responsible for designing, scheduling, and assessing the projects with resources, budget, and time.
  3. Field engineer– They are responsible for developing a standard set of procedures by evaluating operational performance and thereby recommending solutions.
  4. Software engineer– They are responsible for developing software and systems for businesses from applications to the operating system and network control systems.
  5. Network planning engineer– They are mainly responsible for maintaining the external and internal network of a particular organization by supporting the critical teams and implementing new standards for fiber design engineering.

Also read: Electronics and Communication Engineering Salary in India [Fresher & Experienced]

Final Thoughts

Getting a dream job after completing BTech or Mtech in ECE may seem difficult initially, but if you are steadfast and persistent enough in achieving your goal, then you will definitely get your type of referred job. Whether you are applying for private or government jobs, it is extremely crucial to check the website of the potential employees to understand the job responsibilities, skill requirements, and other additional insights about the vacant positions.

Get started with NIET to initiate a career in electronics and communication engineering

The electronic communication system has been a catalyst for change in modern society. With the ever-evolving phases of events throughout the world, it has become highly crucial to have better communication networking with the latest electronic circuits and devices. The department of ECE in NIET offers an excellent opportunity for expanding research programs in the same field.

The department aims to mold its students into industry-ready professionals by giving them exposure to state-of-art technologies by ensuring effective teaching and learning process. Also, the department aims to promote professional development in the field of electronics and communication engineering along with having a deep scientific and engineering breadth. Explore the electronics and communication engineering course at NIET and pave your way to a fruitful career. Admissions are open.

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Top 12 Highest Paying/Salary Jobs in the World 2022

Having a career that is listed among India’s top jobs comes with a cost: higher stress, increased time commitments, and harsh competition. Such conditions are not suitable for everyone. If you’re seeking some insight and inspiration, or if you’re keeping your options open after school or considering a career shift, you’ve come to the right place.

Which Career Should You Choose?

When choosing a career path, everyone considers the following three factors:

1. Does it give me professional and personal fulfillment?

2. Is it exciting, and will I be able to advance in this field?

3. And, last but not least, does it pay well?

While all three elements are important to various people, many people place the greatest emphasis on the wage parameter. As a result, the majority of us are looking for the highest-paying jobs on the globe.

Top 12 Highest Paying/Salary Jobs in the World 2022

The following jobs are the most faithful options to go for in 2022 or the near future:

1. Data Scientist

By extrapolating and sharing their discoveries, data scientists assist businesses in solving complicated problems. They combine computer science, modeling, statistics, analytics, and arithmetic skills to develop solutions to some major difficulties that could aid organizations in making better judgments.

A bachelor’s degree can be achieved in any subject, but the most common are science, mathematics, computer science, and engineering. In India, the average annual pay is around 8-9 lakhs, while in the United States, it is around 1 lakh dollars.

How to Become a Data Scientist

There are three general steps to becoming a data scientist.
1. First, you need to earn a bachelor’s degree in computer science (data science), IT, business, mathematics, or any other related field.
2. Next, you can try out your luck in a good IT company or else go for pursuing higher studies like a master’s degree in data science or a related field.
3. Once you gain sufficient experience in the field then you can easily apply for high-paid jobs and work as a data scientist in any multinational company.

Skills Required to Become a Data Scientist

Here is a list of skillsets required to become a data scientist:
Statistical analysis and computing

  • Deep Learning
  • Machine Learning
  • Processing large data sets
  • Data Wrangling
  • Data Visualization


2. Senior Software Engineer

A senior software engineer in a company is responsible for several duties. Whether it’s retail, healthcare, research and development, business, IT/ITES, government agencies, defense (army, navy, air force), insurance, banking, or finance, software engineers are needed in every field.Working as a senior software engineer requires a bachelor’s degree in computer science, engineering, or web development. In India, a senior SE makes roughly 9-10 lakhs per year.

How to Become a Senior Software Engineer

To become a senior software engineer, you need to inculcate a few skills that can help you to excel in your career and help you gain a well-paid job. A senior developer is someone who can code in 10 different languages and you can observe the problems from every angle. You also need to understand the core business value and ethics. To become a successful senior software engineer, you need to hold a 4 years bachelor’s Degree in B.Tech software engineering. For better career prospects, you can also pursue higher studies and pursue MTech in Software Engineering which is a 2-year post-graduation course.

Skills Required to Become a Senior Software Engineer

Here are a few top skills Required to Become a Senior Software Engineer:

  • Computer Programming and Coding
  • Software Development
  • Object-Oriented Design (OOD)
  • Software Testing and Debugging
  • Problem Solving and Logical Thinking
  • Written and Verbal Communication
  • Teamwork

 

3. Investment Banker

Investment bankers provide financial advice to businesses and governments. They help businesses and other organizations raise funding for expansion and improvement.
Working as an investment banker requires a bachelor’s degree in finance, economics, or marketing. An MBA, CFA, or even a master’s degree in mathematics can significantly improve one’s prospects of becoming an investment banker. In India, the average annual wage is roughly ten lakhs rupees, while in the United States, it is one lakh dollars.

How to Become an Investment Banker

For becoming an investment banker, you need to have a bachelor’s degree in Economics, finance, accounting, or business, to get an entry-level position with any investment form or Bank. Also, you can improve your career prospects by obtaining a master’s degree or a doctorate from any recognized University. This will also help in improvising your interpersonal and communication skills.

Skills Required to Become an Investment Banker

Here are a few key Skills Required to Become an Investment Banker

  • Analytical thinking
  • Communication skills
  • Innovative skills
  • Resilience
  • Relationship Building Skills
  • Open-mindedness

4. Artificial Intelligence Engineer
The development process is carried out by artificial intelligence (AI) architect who makes design decisions.

They should be familiar with information and infrastructure, as well as current technologies, to construct an architecture that will function and adapt in the future. An AI architect’s annual income in India is around Rs. 63 lacs rupees.

How to Become an Artificial Intelligence Engineer

There are a few prerequisites that a candidate needs to fulfill to become a successful artificial intelligence engineer. A candidate needs a bachelor’s degree in artificial intelligence, computer science, IT, data science, finance, and other related domains for being eligible for this position. They can also pursue their master’s degree in Computer Science, cognitive science, mathematics, and data science for better career prospects. If a candidate has certifications in machine learning and data science then the chances for applying for a senior position also increase.

Skills Required to Become an Artificial Intelligence Engineer

Here is a list of Skills Required to Become an AI Engineer:

  • Programming Languages
  • Statistics/Calculus/Algebra
  • Algorithms and Applied Mathematics
  • Natural Language Processing
  • Communication and Collaboration Skills
  • Analytical Skills

5. Chief Executive Officer
A Chief Executive Officer is the highest-ranking and highest-paid executive in a company. CEOs are responsible for determining and managing the company’s corporate affairs, as well as making crucial business decisions, managing resources, and supervising all managerial operations at the highest level, such as coordinating, planning, and directing activities.

A CEO’s knowledge of business areas such as revenue, finance, marketing, banking, and organizational performance and structure is essential. In India, the average yearly pay is around 29-30 lakhs, while in the United States, it is around 3 lakh dollars.

How to Become a Chief Executive Officer

To become the CEO or chief executive officer of any business firm, a candidate needs to be aware of the CEO’s scope of work. A CEO is the leader of the organization and their roles and responsibilities are poles apart from the other employees. Their job roles are more sophisticated and they need to look after the departments of Public Relations, administrative decision-making, human resource management, financial management, and so on. Also, a CEO needs to hold a degree in leadership programs, management programs, or any other relevant field.

Skills Required to Become a Chief Executive Officer

  • Natural Leader
  • Innovative Approach
  • Top-notch Managerial Skills
  • Strong Communication Skills
  • Decisive nature and mental clarity

6. Cloud Engineers and Architects
Cloud Software Engineers, Cloud Architects, and Cloud Infrastructure Engineers are in high demand, and the top industry offers are going to them.
Professionals with a degree in Cloud Computing who are also skilled in programming, database management, and Linux could see a salary increase of up to 60%. At the entry-level, candidates in Cloud Computing earn 6-8 lakhs per year, 10-12 lakhs per year at the mid-level, and 30 lakhs per year at the senior level.

How to Become a Cloud Engineers and Architects

The very first step towards becoming a successful cloud engineer is to pursue or relevant degree in Computer Science or Master’s degree in the same along with obtaining a few analytical and Technical skills. While few employers prefer candidates with a bachelor’s degree but for a senior-level position, a candidate needs to have a master’s degree in computer science or any other related field.

Skills Required to Become a Cloud Engineers and Architects

  • Knowledge of cloud service providers
  • Cloud security
  • Programming skills, such as SQL, R, and Python
  • Machine learning and artificial intelligence
  • Development and maintenance of databases

7. Surgeon
Surgeons are well-respected medical professionals who are tasked with carrying out complicated procedures on patients. To work as a surgeon, you’ll need a medical degree and a license. They must also specialize in the specialty of surgery in which they intend to work. Add salary information.

How to Become a Surgeon

To become a surgeon, one needs to obtain an MBBS degree from a recognized University. After that, an MS degree in general surgery is required to become a practicing surgeon. A candidate can also go for any for the specialization MCI. And for pursuing an MBBS, one needs to be 10 + 2 passed out with at least 60% marks in Chemistry, Physics, and Biology. After that, the student needs to appear for the NEET entrance examination and clear it out for pursuing MS general surgery.

Skills Required to Become a Surgeon

  • Good motor skills
  • Communication skills
  • Teamwork
  • Patience and stamina
  • Extensive experience of operative care
  • Leadership skills

8. DevOps Engineer
From coding and classifying to maintaining and updating, a DevOps engineer devises a strategy to balance needs throughout the software development life cycle.
They add new features to a program, whereas operations teams seek to ensure that it remains stable once it is published. In India, the average annual income for a DevOps engineer is Rs. 11 lakhs.

How to Become a DevOps Engineer

To become a DevOps Engineer, one would require a tertiary qualification in the field of computer science or any other related subject as well as some industry experience. A proper bachelor’s Degree in computer science or any other related degree is required for a DevOps engineer. If a candidate wishes to enhance their skills then they can go for postgraduate study as well. There are also a few industrial certifications such as PMI Agile Certified Practitioner (ACP) or Master of Engineering (Software).

Skills Required to Become a DevOps Engineer

  • Communication and Collaboration
  • Soft Skills and Noble Thought
  • Understanding of Relevant Tools
  • Security Skills
  • Automation Skills
  • Coding and Scripting
  • Cloud Skills

9. Cyber Security Specialists
The necessity to protect data and digital assets has become a priority as a result of broad digital transformation. The demand for highly skilled Cyber Security specialists with problem-solving, analytical, and computer forensics skills to decode and trace all computational movements is expanding in the tech industry.
Professionals in this field earn around 6 lakhs per year at the entry-level, 10-12 lakhs per year in the middle, and 30-40 lakhs per year at the senior level.

How to Become a Cyber Security Specialists

To become a cyber security specialist, a candidate must have above bachelor’s or master’s degree in the field of IT, computer science, systems engineering, or any other relevant subject. Also, few employers required experienced cyber security professionals so a little bit of industry exposure is also required. Candidates also need to have experience with the operation, functionality, and maintenance of firewalls and other forms of endpoint security.

Skills Required to Become a Cyber Security Specialists

  • Networking and System Administration
  • Knowledge of Operating Systems and Virtual Machines
  • Network Security Control
  • Coding
  • Cloud Security

10. Product Manager
Product managers wear many hats, including those of IT specialists, management professionals, communicators, and success evangelists, and are frequently considered as mini-CEOs in charge of product launch and updates.
Product managers in India earn an average annual income of Rs 17,41,318 and can earn up to Rs 20 lakhs with applicable experience and upskilling.

How to Become a Product Manager

To become a product manager, one needs a handful of skills including the ability to identify market opportunities, do proper customer research, involvement in product modeling and road mapping, and lots more. To acquire the role of product manager, a candidate needs to have a master’s degree in Management, Business Administration, Engineering, Computer Science, marketing, economics, or any other related field. For becoming a manager in product development, a candidate also needs to have exposure to the industry with at least 5 years of experience in testing, product development, and product designing.

Skills Required to Become a Product Manager

  • Strategic and creative thinking
  • Knowledge of user experience
  • Technical expertise
  • Superior communication and collaboration skills
  • Business intelligence
  • Interpersonal skills

11. Full Stack Developers
From start-ups and top MNCs, professionals with experience in front-end and back-end development, version control systems, coding skills, cloud and database skills, and fluency in Java, CSS, Python, RubyonRails, and other coding languages can expect to earn 5-6 lakhs per year at entry-level, 8-10 lakhs per year at mid-level, and 10-12 lakhs per year at senior level.

How to Become a Full Stack Developer

A full-stack developer is responsible for working with a particular website right from its start to final launch. They are involved in prototyping, creating, and building websites with the user interface teams. The basic requirement to become a full-stack developer is a bachelor’s degree in computer science. Also, the candidate should be fluent in CSS, HTML, and JavaScript along with other programming languages.

Skills Required to Become a Full Stack Developer

  • Front-end Languages and Frameworks
  • HTML and CSS
  • Backend Technologies and Frameworks
  • NodeJS and ExpressJS
  • Database Management Systems
  • Version Control
  • Web Hosting Platforms
  • Soft Skills

12. Blockchain Engineer
A lucrative career, future security, good pay, and growth opportunities are something that a career in blockchain engineering foresees. Blockchain technology is making prominence across multiple industries and it has now become essential importance for most of the employers to higher blockchain engineers. An average Blockchain Developer’s salary in India ranges between ₹ 2.2 Lakhs to ₹ 20.0 Lakhs which increases with experience.

How to Become a Blockchain Engineer

To become a blockchain engineer, a candidate needs to earn a bachelor’s degree in information security or computer science. They need to have a complete fundamental background that is required to set up a career in blockchain engineering. Apart from that, candidates can also go for a few certification or specialization courses for becoming a blockchain engineer.

Skills Required to Become a Blockchain Engineer

  • Blockchain architecture
  • Cryptography
  • Data structures
  • Web development
  • Programming languages
  • Interoperability skills

Conclusion:

For any aspirant, deciding on a career choice can be a difficult task. There are a plethora of employment options accessible these days, and these factors can lead students and even professionals to choose an extremely difficult career path.
Yet, whatever the repercussions, it is impossible to deny that the benefits of high-paying employment are worth the effort, which is why it is critical to improve your abilities and prepare effectively for job interviews.

Start your career with the top-paying jobs today

Overall, if you want to outperform your competition, choose a profession that suits and fascinates you. Almost every job mentioned in this article is a high-paid job that can not only offer you various amenities but also with the utmost level of job satisfaction and of course a great career.

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What is D-Pharmacy – Eligibility, Subjects, Fees, Scope, Career, Jobs, Salary & More

A diploma in pharmacy, also known as D-Pharmacy is a career-oriented 2 years long diploma course for students who want to pursue a long-term career in the field of Pharmaceutical Sciences. This program is specifically designed to prepare the candidates to work under the guidance and supervision of a licensed pharmacist, community pharmacy, hospitals, and other Pharmaceutical-related fields.

A candidate can also pursue an MBA in pharmaceutical management after the completion of the course. However, they need to complete their bachelor’s degree first. This blog covers what is diploma in pharmacy is all about, eligibility of d pharma, subject, fees, scope, career, jobs, salary, and all other details.

What is D-Pharmacy (D-Pharma)?

D-Pharmacy is an entry-level diploma course that is 2 years long and is suitable for candidates who envisions a long-term career in the medical field of Pharmaceutical Sciences. Completing a diploma in pharmacy can allow the students to start from entry-level positions.

It is specifically designed to familiarize the candidates with the basic terminologies and concepts of Pharmaceutical Sciences. The course also examines various ethical topics like the utilization of stem cells, distribution of scarce resources, issues of human cloning, and the role of genetic testing.

What is the D-Pharmacy Eligibility Criteria?

For the students who wish to pursue a career in the pharmaceutical industry, going for a Diploma in Pharmacy course will be the best for them. However, they must fulfill the following D-pharma eligibility criteria:

  • The candidate must have cleared their Class 12 or equivalent from a recognized board.
  • Candidates must have studied Chemistry, Physics, and Biology or Mathematics as their compulsory subjects.
  • To meet the D-pharmacy eligibility criteria, a candidate must have a secured minimum of 50% marks in aggregate.

D-Pharma Entrance Exam in India

There are several state and national level entrance examinations for D Pharma full. Some of them are listed below.

  • AU AIMEE: The Annamalai University All India Medical Entrance Exam Pharmacy or AU AIMEE Pharmacy is a state-level entrance examination which is conducted by Annamalai University every year for students who want to pursue pharmacy programs such as B Pharma, M Pharma, Pharma D, and D Pharma.
  • GPAT: GPAT is a national-level entrance examination for students who want to pursue various courses in Pharmacy. Several colleges prepare the merit lists based on the ranks scored by the students in the GPAT examination and subsequent group discussion followed by personal interviews for admission to the D. Pharm course.

D Pharmacy Admission Process/Requirements in India

The admission in D-pharmacy course is mainly based on the score that is obtained by the candidate in the entrance examination followed by a personal interview. Some of the major entrance exams include GPAT, AU AIMEE, etc. Few colleges also go for direct admission on a merit basis.

The D-pharmacy admission requirement on a merit basis is an easy admission process where the students need to submit their application to their desired college or university along with their scorecards of 12 examinations. In the due course of time, the college would release their merit list and the candidates can check if their names are up for the course admission. Once the candidate gets selected, then they need to visit the college, submit all the required documents and pay the fee to get admitted to the D-pharmacy course.

D-Pharmacy Course Fees

The fees for D-Pharmacy vary from one college to another. However, the overall D-pharmacy course fee structure is more or less similar. It starts from 10,000 INR to 1,21,500 INR per year. Students can also apply for the government pharmaceutical institutes which charge lower annual fees.

How Many Subjects in D Pharma?

If you were wondering what are the subjects in D Pharmacy course, then the list below will clear all your doubts. The diploma in pharmacy course is a traditional yearly-based curriculum of 2 years. Although the syllabus for each Institute differs a bit the basic structure and the topic remain almost the same.

D-pharmacy 1st year subjects D-pharmacy 2nd year subjects
Pharmaceutics I Pharmaceutics 2
Biochemistry Clinical Pathology Pharmaceutical Chemistry 2
Pharmaceutical Chemistry 1 Hynotics
Human Anatomy Physiology Antibiotics
Health Education Community Pharmacy Pharmacology and Toxicology
– Drug Store Business Management
– Pharmaceutical Jurisprudence
– Hospital Clinical Pharmacy

What is the Scope of D-Pharmacy in Future?

After the completion of the D pharmacy course, the candidate can get a number of opportunities and sports in both academic and job fields. A candidate can either pursue their higher education or look for entry-level jobs in the pharmaceutical industry. For higher studies, a candidate can go for pursuing a Bachelor’s degree in pharmacy course. Or else, they can secure a job at a good drug store at any government or private level hospital or can also go for entrepreneurship. Thus, the scope for D pharmacy course is definitely high and rewarding.

Job Opportunities After D-Pharmacy in India

Here is a list of job opportunities after D pharmacy:
1. Pharmacist  The role of a pharmacist is to prepare medications by interpreting and reviewing the physician’s orders and detecting therapeutic incompatibilities. They dispense medication by compounding, packaging, and labeling the pharmaceuticals.

2. Production executive A Production executive is responsible for identifying the best and the most effective usage of the available resources including equipment to meet the production goals.

3. Medical transcriptionist The job role of a medical transcriptionist is to transcribe machines with food petals and head cells in order to listen to the recordings by the healthcare professionals.

4. Pathological lab scientists They utilize equipment from labs in order to analyze various specimens and samples usually from human subjects in order to understand the abnormality of the body.

5. Research officer The job role of a research officer is the look after the research project works with the team members in order to keep them updated with the recent trends of the healthcare industry.

Salary of D-Pharmacy in India Per Month for Fresher & Experienced

The salary of D pharmacy in India differs from company to company and of course the experience and other educational qualifications. The D pharmacy salary in India per month ranges from INR 10000 to 45000 per month. This may increase with the gradual years of experience and the knowledge the person holds in the same field.

Lead your career in pharmaceutical with NIET today

If you are looking forward to starting your career in the pharmaceutical industry, then choosing one of the top institutes of India like NIET will be the best decision of your life. The diploma in pharmacy course is a 2 years program that covers basic Pharmaceutical education.

There are several merits of studying D pharmacy at NIET. One can get trained by the experienced full-time faculty with hands-on training on manufacturing and dispensing pharmaceuticals. Also, the students get the opportunity to go for regular interaction with the industry expert from the Pharmaceutical field. For more details about the D pharmacy course at NIET, visit the course page now- https://www.niet.co.in/pharmacy/d-pharm.php

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Artificial Intelligence and Machine Learning Interview Questions 2022 [Fresher & Experienced]

Machine Learning implies the procedure in which a computer program is trained to build a statistical model based on the given data. The purpose of the procedure (ML) is to identify the key patterns out of data or to get key insights.

The reason for the tremendous growth of Machine Learning trend is because Machine Learning solves Real-World problems. Machine learning algorithms learn from the data and solve complex problems within a glimpse. Undoubtedly, it pays off for early adopters.

In this blog, we will discuss the top AI and ML interview questions asked in the reputed institutions like Microsoft, Amazon, etc.

Artificial Intelligence and Machine Learning Interview Questions 2022

Some of the top questions that are often asked in AIML interviews are:

  1. Artificial Intelligence and Machine Learning Interview Questions for Freshers:

Q1. What do you mean by Artificial Intelligence?

Ans: The field of computer science technology which emphasizes creating intelligent machines capable of mimicking human behavior.

Q2. What are the different domains/Subsets of AI?

Ans: Machine Learning, Deep Learning, Neural Network, Expert System, Fuzzy Logic, Natural Language Processing, Robotics, Speech Recognition.

Q3. What are the types of AI?

Ans: 1. Based on Capabilities:

  • Weak AI or Narrow AI

  • General AI

  • Strong AI

2. Based on Functionalities:

  • Reactive Machines

  • Limited Memory

  • Theory of Mind

Q4. Why do we need Artificial Intelligence?

Ans: To create intelligent machines capable of mimicking human behavior, to solve complex problems, in brief to save manpower.

Q5. What is Deep Learning?

Ans: A subset of Machine learning purposed by the human brain cellsto mimic the working of the human brain

Q6. State some real-world applications of deep learning.

Ans:

  • Adding colors to the b/w images

  • Computer vision

  • Text generation

  • Deep-Learning Robots, etc.

Q7. What is the intelligent agent in AI, and where are they used?

Ans: An autonomous entity which perceives its surroundings through the sensors and acts on it to achieve the goal using actuators.

Q8. Where are intelligent agents in AI used?

Ans: The Intelligent agents in AI are used in Information Access and Navigations such as Search Engine, Repetitive Activities, Domain Experts, Chatbots, etc.

Q9. Why was Machine Learning Introduced?

Ans: In simple words, to simplify our living style in a fast, competitive world.

Q10. What are Different Types of Machine Learning algorithms?

Ans:

• Supervised (Classification, Regression, Ranking)

• Unsupervised (Clustering, Segmentation, Associate Mining, Dimension Reduction)

• Reinforcement (Reward Systems, Decision Process, Recommendation Systems)

Q11. What is Supervised Learning?

Ans: The machine learning algorithm which infers a function from labeled training data is called supervised learning.

Q12. What is Unsupervised Learning?

Ans: The machine learning algorithm used to find patterns on the set of data given without any dependent variable is unsupervised learning.

Q13. What is ‘Naive’ in a Naive Bayes?

Ans: A supervised machine learning algorithm which applies Bayes Theorem to make assumptions is known as Naïve Bayes method.

Q14. What is PCA? When do you use it?

Ans: Principal component analysis is a process used for dimension reduction by measuring the variation in each variable which makes the dataset easier to visualize.

Q15. Explain SVM Algorithm in Detail.

Ans: In the SVM algorithm, we try to see whether a data point considered as a p-dimensional vector (a list of p numbers) is separable with a (p-1)-dimensional hyperplane.

Q17. What are Support Vectors in SVM?

Ans: In SVM, the points of the edge of the dividing hyperplane between the different classes which maximize the distance from the line to the points of the classes are called Support Vectors.

Q18. What are Different Kernels in SVM?

Ans:

• Linear kernel

• Polynomial kernel

• Radial basis kernel

• Sigmoid kernel

Q19. State some real-world applications of AI.

Ans: Google Search Engine, Ridesharing Applications, Spam Filters in Email, Social Networking, Product recommendations.

Q20. How is machine learning related to AI?

Ans: Machine learning is a subset of Artificial intelligence. AI uses various types of Machine learning algorithms to solve complex problems.

Q21. What are the different elements of MDP?

Ans: MDP has four elements:

  1. A set of finite states S

  2. A set of finite actions A

  3. Rewards

  4. Policy Pa

Q22. What do you understand by the hyperparameter?

Ans. The parameters that determine and control the complete training process.

Q23. Explain the term Q-Learning.

Ans: A popular algorithm based on the Bellman equation used in reinforcement learning. Q represents the quality of the actions in each state, and the goal of the agent is to maximize Q.

Q24. Which programming languages are used for AI?

Ans: Python, Java, Lisp, R, Prolog.

Q25. What is Cross-Validation?

Ans: A method of splitting the entire data into training, testing, and validation data which is split into k subsets, the model being trained on (k-1) of those datasets.

  1. Artificial Intelligence and Machine Learning Interview Questions for Experienced

Q1. What is F1 score? How would you use it?

Ans: A measure of the model’s accuracy, weighted average of recall and precision scores:

F1 = 2TP/2TP + FP + FN

Q2. Define Precision.

Ans: Precision helps in finding out truly relevant items amongst all predicted by the classifier.

Q3. How to Tackle Overfitting and Underfitting?

Ans: In Overfitting we need to edit the data and estimate the model accuracy with, say k-fold cross-validation. In case of Underfitting we need to redo the algorithms or add more data points.

Q4. What is a Neural Network?

Ans: A simplified version of the human brain with neurons which on encountering something similar gets activated.

Q5. What are Loss Function and Cost Functions?

Ans: Loss function is to consider only a single data point when calculating loss.

Cost function is used for multiple data points.

Q6. Explain the key Difference Between Loss Function and Cost Functions.

Ans: Loss function is to calculate the difference between the actual and predicted values for a single data point while cost functions are for the entire training dataset.

Q7. What is Ensemble learning?

Ans: A combined method of several machine learning models to produce more sophisticated models.

Q8. How do you make sure which Machine Learning Algorithm to use?

Ans: It all depends on the exploratory data analysis EDA, no other specific way.

Q9. How to Handle Outlier Values?

Ans: Drop them or mark and include the outliers as a feature. Or transform the feature to reduce the impact of the outlier.

Q10. What is a Random Forest?

Ans: A versatile machine learning method capable of performing both classification and regression tasks.

Q11. How does Random Forest work?

Ans: Take a sample size from the training data and then start with a single node.

  • If the node size is bigger than the number of observations then stop.

  • Select random variables.

  • Search the variable with the best job for splitting the observations.

  • Split the observations into two.

  • Restart the process on each of them.

Q12. What is Recall?

Ans: Recall helps in finding out the no. of items found by the classifier from the truly relevant ones.

Q13. What is Collaborative Filtering?

Ans: A proven technique to predict new content by matching the preferences of many users with the interests of the individual user.

Q14. Content-Based Filtering?

Ans: Content-based recommender systems are focused on making new recommendations from similar content as per the user’s previous choices.

Q15. What is Clustering?

Ans: Process of grouping a set of objects into a number of groups.

Q16. How can you select K for K-means Clustering?

Ans: Direct methods: Elbow and silhouette.

Or Statistical testing methods: Gap statistics.

Q17. What are Recommender Systems?

Ans: A system to predict and recommend products and users’ interests.

Q18. How to check the Normality of a dataset?

Ans:

  • Shapiro-Wilk Test

  • Anderson-Darling Test

  • Martinez-Iglewicz Test

  • Kolmogorov-Smirnov Test

  • D’Agostino Skewness Test

Q19. Can logistic regression be used for more than 2 classes?

Ans: No.

Q20. Explain Correlation and Covariance?

Ans: Correlation measures the strength of relation of two variables.

Covariance is a process to calculate the correlation between two variables.

Q21. What is P-value?

Ans: The minimum significant level where one can reject the null hypothesis, used to make a decision about a hypothesis test.

Q22. What are Parametric and Non-Parametric Models?

Ans: Parametric models have limited parameters. Non-Parametric models have an unlimited number of parameters, hence more flexibility in predicting new data.

Q23. What is Reinforcement Learning?

Ans: Learning based on the rewards given to the agent by the surroundings.

Q24. Difference Between Sigmoid and Softmax functions?

Ans: The sigmoid function is used for binary classification. While the softmax function is used for multi-classification. The probabilities sum should be 1 in both.

Q25. State the types of Clustering.

Ans:

  • Hierarchical clustering

  • K means clustering

  • Density-based clustering

  • Fuzzy clustering, etc.

Kickstart your career in Artificial Intelligence and Machine Learning with NIET

NIET offers a four-year under-graduate B.Tech course in Artificial Intelligence and Machine Learning to students who are aspiring to build world-class expertise in Artificial Intelligence and Machine Learning. The course aims to build a strong foundation by using the principles and technologies including many facets of Artificial Intelligence like knowledge representation, logic, probabilistic models, and machine learning. The CMC teams in NIET will thus help the students in preparing for placements/jobs for a prospecting future. For more details visit: https://www.niet.co.in/Engineering-college/btech-in-computer-science-and-engineering-artificial-intelligence-machine-learning.php