Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning course, popularly known as AIML, is a popular and one of the most sought-after degree programs that equips students with the skills to develop intelligent systems. This code essentially serves as instructions for the machine to perform tasks with minimal human involvement. The AIML course focuses on the science and engineering behind creating intelligent systems. The course curriculum covers foundational subjects like Mathematics, statistics, and computer science fundamentals followed by core AI & ML subjects such as Machine learning, deep learning, natural language processing, computer vision, robotics, etc.

The AIML course eligibility criteria may vary but the basic requirement is that candidates complete their 10+2 studies with Science stream to be eligible for undergraduate degree programs. For postgraduate programs in Artificial Intelligence and Machine Learning, the minimum criteria is to have a Bachelor’s degree in Statistics, Mathematics, or Engineering, particularly in Information Technology or Computer Science, and/or similar fields. The common national-level entrance exams conducted for AIML course admission at UG and PG levels are JEE, GATE etc. Other state-level and university-level entrance exams, such as SRMJEEE, BITSAT, HITSEEE, VITEEE etc. are also held for admission to Artificial Intelligence and Machine Learning courses.

Some of the top colleges offering Artificial Intelligence and Machine Learning courses are IIT Hyderabad, Vellore Institute of Technology, and Chandigarh University. The BTech AIML course fees in India range from approximately INR 1 to 2 LPA. On the other hand, the yearly fee for MTech in AIML courses starts at INR 2.40 lakhs.

After completion of the AIML course, candidates can work as Data Scientists, Data Analysts, Data Engineers, Computer Vision Engineers, Principle Data Scientists, etc. The average AIML salary falls between INR 3 LPA and 8 LPA.

The table below highlights the AIML course details such as duration, eligibility criteria, admission procedure, course fees, salary, job profiles, etc.

The demand for Artificial Intelligence and Machine Learning has increased across the globe in sectors such as healthcare, technology, finance, etc. because of its multiple usage and its capacity to make day-to-day life easier. Some of the quick facts on why a candidate should choose Artificial Intelligence and Machine Learning have been discussed below.

• As per recent reports published by Indian Express, Artificial Intelligence and Machine Learning is said to generate 20 million jobs in India by the end of 2025.
• Robotics, Automation, and the latest AI based technologies will affect approximately 0.7 million jobs.
• GOI has recently launched “The National Educational Technology Forum” to enhance the infrastructure of digital education, content, and capacity building.
• Based on reports from the World Economic Forum, AIML jobs will require specialists in several domains such as Data Science Specialists, AIML Specialists, Information and Security Specialists, etc.
• World Economic Forum stated on a global level, automation, and robotics will replace around 85 million jobs that will subsequently require reskilling and 97 million jobs by 2025. Therefore it can be clearly stated that Artificial intelligence, content creation, and cloud computing will emerge as the top Tech skills.

Various specializations based on diverse applications are offered under AIML courses across institutes in India. Some of the top Artificial Intelligence and Machine Learning Course Specializations to consider are as follow:

• AI Product Management: The AI product management course deals with the use of artificial intelligence, machine learning and deep learning to create, shape and enhance products.
• Natural Language Processing (NLP): This branch of AI helps computers to understand, generate, and manipulate human language. This is primarily used in chatbots and machine translation.
• Computer Vision: It is a field of AI that helps computers to get information from videos, images, and other inputs.
• Data Science: Data science in AI involves statistical tools, methods, and technology to extract valuable insights from vast amounts of data.
• Robotics: Robotics in Artificial Intelligence deals with the integration of AI technologies into robotic systems to improve overall functioning and help them perform more complex tasks.

Online Artificial Intelligence courses and programs make learning easy and flexible as you take classes at your own pace from your phone, tablet, or computer. You can learn about AI Applications, Machine Learning, Networks etc. and enhance your skills by enrolling to the top courses offered online. Here are some of the best online Artificial Intelligence courses to pick from:

Candidates often get confused about which course they should pursue – Artificial Intelligence and Machine Learning or Artificial Intelligence and Data Science. Therefore, we have distinguished both the courses below.

The AIML colleges might have varying eligibility requirements. We have mentioned some of the common eligibility requirements for AIML courses in the following pointers.

1. Candidates should pass class 10+2 with Physics, Chemistry, and Mathematics from a recognized state/central education board.
2. The minimum mark for admission to B.Tech in AIML courses is 40-50% depending on the institute where a relaxation of 5% is given to the candidates from the reserved categories.
3. Along with this, candidates are required to pass specific university-based examinations like VITEEE, SRMJEEE, LPUNEST, and BITSAT and state level exams such as MHT CET, WBJEE, KEAM, KCET, etc.
4. Some institutions like IIITs, and NITs accept only JEE Mains while admission to IITs requires JEE Advanced marks.
5. The minimum eligibility for M.Tech in AIML courses is a Bachelor’s degree

Course-Wise Eligibility Criteria for AIML Courses

Skill Sets Required for Artificial Intelligence and Machine Learning

• Machine Learning – Candidates are required to have a solid understanding of the foundational theory and principles behind machine learning, as well as current AI and machine learning techniques.
• Deep Learning – Students need to have a strong grasp of the architecture, training, and optimization of deep neural networks.
• Data Visualization – Graduates are expected to possess a firm grasp of data visualization tools and libraries, such as Matplotlib, Seaborn, Tableau, etc.
• Distributed Computing – Students should possess knowledge of the distributed computing field to handle very large datasets.

Admission to various AIML courses is done mostly based on entrance exams conducted at national, state, and university levels. To get admission through these entrance exams, candidates have to apply from the official website and pay the prescribed application fee. The authorities will issue the admit card to the candidates who have completed registration. After the completion of the exam, the results are issued and candidates are sent to further counseling procedures.

The admission process of AIML courses includes candidates to have achieved the eligibility criteria. The entire admission process has been explained below.

1. To be eligible to sit for entrance exams, the candidate must achieve a minimum aggregate of 50% to 55% in their 10+2 exams, which may vary slightly for different institutes.
2. Various institutes have different entrance exams. For example, to get into an IIT, the candidate must pass the JEE Mains and then EE Advanced, while universities like Vellore Institute of Technology conduct VITEEE, Birla Institute of Technology conducts BITSAT, and Lovely Professional University conducts LPUNEST. Additionally, universities like Indraprastha consider candidates\’ marks in both their university exams and all India-wide exams like JEE.
3. Following the entrance exams, the student must undergo the counseling stage. Some institutes may also require the candidate to pass a personal interview stage.
4. After the completion of counselling and seat allotment procedures, candidates have to pay the admission fee and finish the other admission formalities to start with their classes.

Due to the ever-increasing demand in the field of Artificial Intelligence and Machine Learning, many renowned colleges, including the Indian Institute of Technology (IITs), National Institute of Technology (NITs) and other government, as well as private institutes offer various part-time/full-time AIML courses at undergraduate/ postgraduate/ diploma levels. For instance, IIT Roorkee offers M.Tech in Artificial Intelligence and Machine Learning based on GATE scores.

Top IITs Offering Artificial Intelligence and Machine Learning Courses

AIML course fee at IITs usually range from INR 8 LPA to INR 9 LPA. Listed below are the top IITs offering AIML courses. The approximate course fee at different IITs has also been provided below.

The table below consists of the Artificial Intelligence and Machine Learning course fee in the top colleges.

Artificial Intelligence and Machine Learning College Comparison

This is a tabular comparison of colleges which provide BTech in Artificial Intelligence and Machine Learning –

The BTech in Artificial Intelligence and Machine Learning syllabus includes core, elective, and lab subjects. The BTech AI and ML programs equip students with essential knowledge of Computational Mathematics, key areas of Computer Science, and the latest developments in Artificial Intelligence and Machine Learning. This enables students to develop applications and solutions for our world. Some of the BTech AIML subjects are Programming Using C, Data Structures, Functional Programming in Python, Advanced Engineering Mathematics, Managerial Economics and Financial Accounting, Concepts in Artificial Intelligence, and Technical Communication. The structure of the Btech in AI and ML course is as follows:

– 8 semesters

– Project work

– Internship

– Experiments

– Core Subjects

– Elective Subjects

Semester-Wise AIML Course Syllabus

After completing BTech AIML courses, candidates are offered jobs in various carrer options. Therefore, pursuing this field will allow individuals to secure highly desirable jobs that are only expected to increase in number over time. The scope in this field may help the graduate in pursuing jobs in both the public and private sectors. These include –

• Big Data & AI Architect
• Machine Learning Engineer
• Big Data Scientist
• Research Engineer – Artificial Intelligence
• Artificial Intelligence Engineer
• Data and AI Consultant
• Robotics Professional

In the table below, we have listed some of the top BTech AIML job profiles and their descriptions.

Artificial Intelligence and Machine Learning Salary

The table below represents the BTech AIML salary for some of the top job profiles.

Artificial Intelligence and Machine Learning Top Recruiters

Some of the top recruiters of BTech in Artificial Intelligence and Machine Learning graduates have been listed below.

1. Facebook
2. Google
3. IBM
4. Wipro
5. Oracle
6. NIIT
7. HDFC Bank
8. Genpact

After the completion of B.Tech in AIML courses, candidates can choose to pursue MTech in AIML or equipped with certification courses such as  –

• Certified Artificial Intelligence Scientist (CAIS) by the United States Artificial Intelligence Institute
• Computer Science for Artificial Intelligence by Harvard University
• IBM AI Engineering Professional Certificate by IBM
• Artificial Intelligence A-Z 2024: Build an AI with ChatGPT4 (Udemy) by the SuperDataScience Team and other instructors
• Artificial Intelligence Engineer (AIE) Certification Process by the Artificial Intelligence Board of America (ARTiBA) by ARTiBA
• Microsoft Certified: Azure AI Engineer Associate by Microsoft
• Professional Certificate Program in Machine Learning & Artificial Intelligence by MIT Professional Education