B.Tech in AI & ML is an undergraduate degree program that focuses on the study and application of AI and ML technologies. It equips students with the necessary knowledge and skills to understand, develop, and apply intelligent systems and algorithms. Graduates of B.Tech AI&ML programs have a wide range of career opportunities in industries such as technology, finance, healthcare, e-commerce, robotics, and more. They can work as AI engineers, ML engineers, data scientists, research scientists, consultants, or technology analysts. The demand for professionals with AI and ML skills is growing rapidly across industries, offering promising career prospects.
Course Duration - The UG degree in Electronics & Communication is for 4 years from any university in the country for 10+2 students and is 3 years for Diploma graduates.
Salient Features -
AI & ML Syllabus
The B.Tech Artificial Intelligence program spans four years and comprises eight semesters. During the initial year, students will acquaint themselves with computer science, physics, and mathematics. Subsequent semesters will be dedicated to capstone projects and hands-on assignments. The objective of the B.Tech Artificial Intelligence course is to provide students with comprehensive access to essential knowledge.
Here is a semester-wise breakdown of the B.Tech Artificial Intelligence and Machine Learning syllabus:
| AI & ML Engineering Curriculum | |
| I SEM | II SEM |
| Mathematics I | Mathematics II |
| Physics | Basic Electronics Engineering |
| Physics Lab | Basic Electronics Engineering Lab |
| Programming in C Language | Data Structures with C |
| III SEM | IV SEM |
| Computer System Architecture | Operating Systems |
| Design and Analysis of Algorithms | Data Communication and Computer Networks |
| Design and Analysis of Algorithms Lab | Data Communication and Computer Networks Lab |
| V SEM | VI SEM |
| Formal Languages & Automata Theory | Reasoning, Problem Solving and Robotics |
| Mobile Application Development | Introduction to Machine Learning |
| Mobile Application Development Lab | Introduction to Machine Learning lab |
| Algorithms for Intelligent Systems | Natural Language Processing |
| Minor Project II | |
| VII SEM | VIII SEM |
| Program elective | Major Projects 2 |
| Web Technologies | Program Elective-5 |
| Major Project- 1 | Program Elective-6 |
| Comprehensive Examination | Open Elective - 4 |
Eligibility for B.E./B. Tech in Artificial Intelligence & Machine Learning
Admission Process
The selection of candidates for admission to B.E./B.Tech. programs are based on performance in the National Entrance Examination (JEE), State Level Entrance Exams like the KCET, or Direct University Entrance Exams. On the basis of 12th-grade exam merit, several colleges provide places.
Entrance Exams for Admission to B.E/B.Tech Artificial Intelligence & Machine Learning
To pursue a Bachelor's degree in Artificial Intelligence & Machine Learning, Students must take the National Entrance Examination (JEE) or State-level Entrance Exams like KCET, MHT CET, WBJEE, or COMED-K as well as University Entrance exams. These examinations serve as crucial gateways for aspiring students aiming to gain admission to reputable institutions.
Here are the details of the Top Entrance Exams for Engineering
An Artificial Intelligence & Machine Learning Engineer can choose from four broad career paths after pursuing a B.E. or B. Tech Degree.
1. Employment Opportunities-
AI (Artificial Intelligence) and ML (Machine Learning) engineers are in high demand in various industries due to the increasing adoption of AI and ML technologies. These professionals play a crucial role in developing, implementing, and maintaining AI and ML systems. Here are some common employment opportunities for AI and ML engineers. Large technology companies, such as Google, Microsoft, Amazon, and Facebook, are actively hiring AI and ML engineers. These companies develop cutting-edge AI and ML solutions, including natural language processing, computer vision, recommendation systems, and autonomous vehicles.
Trending Career Profiles
Top Companies Recruiting AI and ML Engineers
2. Venture into Entrepreneurship/Self-Employment-
Sky's the limit on this front with a growing number of “Startup” opportunities in India. The AI AND ML Engineer can venture into one of these fields Machine Learning Engineer, Data Scientist, AI Researcher, AI/ML Consultant, AI/ML Product Manager, and AI Ethicist.
3. Higher Studies & Skill Enhancements
Engineering graduates can pursue higher education in Engineering or Management like M.Tech/M.E. or MBA. In addition to these conventional qualifications, there are industry-specific certifications that give a good leap into the industry. An example of a few such certificates is listed below
Top Engineering Colleges for Artificial Intelligence & Machine Learning
Pan-India
Discover your perfect program in our courses.
AI engineering is a broader discipline that encompasses various techniques and technologies to build intelligent systems, while ML engineering specifically deals with designing and implementing machine learning algorithms and models.
Common challenges in AI/ML engineering include obtaining high-quality and representative data, overfitting or underfitting of models, feature selection and engineering, choosing the right algorithms and architectures, dealing with bias and fairness issues, and deploying and maintaining scalable and reliable models.
Popular AI/ML frameworks and libraries include TensorFlow, PyTorch, sci-kit-learn, Keras, Caffe, Theano, and MXNet. These provide pre-built functions and tools for implementing machine learning models efficiently.
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