Artificial Intelligence and Machine Learning Engineering

         

ToC

Overview	Syllabus & Curriculum	Eligibility & Admissions	Future Scope
1.Course Duration	1.Syllabus	1.Entrance Exams	1.Job Opportunities	1.Top Engineering Colleges  PAN-INDIA
2.Features			2.Higher Education Opportunities 3.Entrepreneurship	2.FAQ’s

Overview-

B.Tech in AI & ML is an undergraduate program that focuses on the study and application of AI and machine learning technology. It provides students with the information and abilities required to comprehend, build, and implement intelligent systems and algorithms. B.Tech AI&ML program graduates can pursue careers in a variety of fields, including technology, finance, healthcare, e-commerce, robots, and more. They can work as AI or machine learning engineers, data scientists, research scientists, consultants, or technology analysts. The demand for workers with AI and ML expertise is rapidly increasing across industries, providing attractive job opportunities.

Course Duration - 

For 10+2 students, the UG degree in machine learning and artificial intelligence engineering lasts four years at any university in the country, and three years for Diploma graduates.

Salient Features-

• They may conduct research and apply scientific and mathematical methods to solve complex engineering challenges.

• AI and ML technologies enable the automation of tasks that would otherwise require human intelligence. They can automate repetitive and tedious processes, improving efficiency, productivity, and cost savings.
• Graduates have numerous professional choices. They can work as AI engineers, machine learning engineers, data scientists, research scientists, AI consultants, and technology analysts in a variety of industries including healthcare, finance, e-commerce, robots, and more.
• It stresses the practical application of AI and machine learning to solve real-world problems. 

Eligibility and Admission:

-Eligibility for B.E./B.Tech in Artificial Intelligence and Machine Learning.

• The applicant must have passed 10+2 with Physics, Chemistry, and Mathematics or equivalent with at least 50% marks from a recognized board.
• The student should be 17 years old by December 2023.
• Students must have passed at least one of the following entrance exams: JEE Mains, JEE Advance, AME CET/CET, COMEDK, WBJEE, or UPSEE.

Admission Process

• Candidates for admission to B.E./B.Tech. programs are selected based on their performance in the National Entrance Examination (JEE), State Level Entrance Exams (such as the KCET), or Direct University Entrance Exams. Several colleges provide admission based on the results of the 12th grade exam.

Entrance Exams for Admission to B.E/B.Tech Artificial Intelligence and Machine Learning.

• To pursue a Bachelor's degree in Artificial Intelligence & Machine Learning, students must first take the National Entrance Examination (JEE) or State-level Entrance Exams such as KCET, MHT CET, WBJEE, or COMED-K, followed by University Entrance Exams. These examinations are critical entry points for aspiring students seeking admission to reputable universities.

Here are the details of the top entrance exams for engineering.

The National Testing Agency (NTA) conducts the JEE Main exam online over a three-hour period.
The Indian Institute of Technology conducts the JEE Advanced (IIT JEE) exam online with a duration of three hours.
The KCET exam is administered in offline mode by the Karnataka Examination Authority (KEA) and lasts 1 hour and 20 minutes.
The West Bengal Joint Entrance Exam conducts the WBJEE exam in offline mode for a length of two hours.
The Maharashtra Government conducts the MHT- CET test in offline mode with a time constraint of 1 hour and 30 minutes.

AI & ML syllabus

The B.Tech Artificial Intelligence program lasts four years and includes eight semesters. During the first year, students will become acquainted with computer science, physics, and mathematics. The next semesters will be dedicated to capstone projects and hands-on tasks. The B.Tech Artificial Intelligence course aims to provide students with complete access to essential knowledge.

The B.Tech Artificial Intelligence and Machine Learning syllabus is divided into semesters, as follows:

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

Future Scope

After completing a B.E. or B.Tech degree, an Artificial Intelligence & Machine Learning Engineer can pursue one of four primary career pathways.

1. Job Opportunities: AI and ML engineers are in high demand across businesses as these technologies become more widely adopted. These experts are critical to the development, implementation, and maintenance of AI and ML systems. Here are a few common job prospects for AI and ML engineers. Large technological businesses, including Google, Microsoft, Amazon, and Facebook, are aggressively seeking AI and ML engineers. These firms create cutting-edge AI and machine learning technologies, such as natural language processing, computer vision, recommendation systems, and self-driving vehicles.

Trending Career Profiles

• Robotics Engineer
• Big Data Engineer/Architect
• Computer Vision Engineer
• Data Scientist
• NLP Scientist
• Business Intelligence Developer
•  Machine Learning Designer

Top Companies Recruiting AI and ML Engineers

• Samsung
• Wipro
• Intel
• Havells India Ltd
• Cisco
• Bharat Heavy Electrical Ltd
• Tata Teleservices
• Crompton Greaves
• Siemens
• Accenture
• Schneider Electric
• Broadcom
• Alstom
• Micromax
• Texas Instruments
• Aircel

2. Consider Entrepreneurship/Self-Employment: India offers numerous "Startup" chances. AI AND ML Engineers can work as machine learning engineers, data scientists, AI researchers, AI/ML consultants, AI/ML product managers, or AI ethicists.

4. Further studies and skill enhancements

Engineering graduates can pursue advanced degrees in engineering or management, such as M.Tech/M.E. or MBA. In addition to these traditional qualifications, there are industry-specific certifications that provide a good entry point into the business. Here are some examples of such certificates:

• Certificate in Data Science
• Certificate in CNN
• Certificate in IBM Data Analyst Professional.

Top Engineering Colleges for Artificial Intelligence & Machine Learning

 Pan-India

• Alliance University, Bangalore
• CMR University, Bangalore
• Reva University, located in Bangalore.
• SGT University (Noida), Bennett University (Greater Noida), SPS University (Udaipur), and NIU (New Delhi).
• K. R. Mangalam University
• MSRIT, CMRIT, BMSCE, BMSIT&M, Atria, Dayananda Sagar College of Engineering, and RVIT.

FAQs

1. What are some frequent hurdles in AI/ML development?

Common challenges in AI and machine learning engineering include obtaining high-quality and representative data, overfitting or underfitting of models, feature selection and engineering, selecting the right algorithms and architectures, dealing with bias and fairness issues, and deploying and maintaining scalable and reliable models.

2. What are the most popular AI/ML frameworks and libraries?

TensorFlow, PyTorch, scikit-learn, Keras, Caffe, Theano, and MXNet are some of the most popular AI/ML frameworks and tools. These include pre-built functions and tools for effectively implementing machine learning models.