B tech in AI and ML (Artificial Intelligence & Machine Learning) Colleges in Noida

B.Tech

Artificial Intelligence and Machine Learning

The B.Tech in Artificial Intelligence and Machine Learning (AI&ML) is a cutting-edge undergraduate program designed to equip students with the knowledge and skills required to excel in the rapidly growing field of AI and ML. This program combines the fundamentals of computer science, mathematics, and engineering with advanced topics in AI and ML, enabling students to build intelligent systems that can learn, reason, and solve complex problems.

Throughout the four-year B.Tech in Artificial Intelligence and Machine Learning program, students delve into core areas such as machine learning, deep learning, natural language processing (NLP), computer vision, reinforcement learning, and big data analytics.

The B.Tech AI and ML syllabus emphasizes hands-on learning through practical labs, projects, and industry internships, ensuring students gain real-world experience in designing and deploying AI solutions. Interdisciplinary in nature, the program integrates ethical AI practices, optimization techniques, and applications of AI in fields like healthcare, finance, robotics, and autonomous systems.

Graduates emerge as industry-ready professionals, adept at leveraging AI/ML to innovate and address global challenges. With a strong foundation in AI principles, problem-solving, and computational thinking, this program prepares students for a wide range of career opportunities in AI research, software development, data science, and entrepreneurship, or for advanced studies in AI/ML.

Curriculum Structure

Curriculum has been carefully designed to meet the objectives as mentioned earlier. We understand that in order to cater the demands of the market and meet the challenges of the future the curriculum is subjected to change.

First Semester

S. No.	Category	Course Code	Course Title	Contact Hours				Credits
S. No.	Category	Course Code	Course Title	L	T	P	Total	Credits
1	BSC	15B11MA111	Mathematics-1	3	1	0	4	4
2	BSC	15B11PH111	Physics-1	3	1	0	4	4
3	BSC	15B17PH171	Physics Lab-1	0	0	2	2	1
4	ESC	15B11CI111	Software Development Fundamentals-I	3	1	0	4	4
5	ESC	24B15CS111	Software Development Fundamentals Lab-I	0	0	2	2	1
6	ESC	24B11EC111	Basic Electronics	3	1	0	4	4
7	ESC	24B15EC111	Basic Electronics Lab	0	0	2	2	1
8	HSC	15B11HS112	English	1	0	2	3	2
9	ESC	18B15GE112	Workshop	0	0	3	3	1.5
Total							28	22.5

Second Semester

S. No.	Category	Course Code	Course Title	Contact Hours				Credits
S. No.	Category	Course Code	Course Title	L	T	P	Total	Credits
1	BSC	15B11MA211	Mathematics-2	3	1	0	4	4
2	BSC	15B11PH211	Physics-2	3	1	0	4	4
3	BSC	15B17PH271	Physics Lab-2	0	0	2	2	1
4	ESC	15B11CI121	Software Development Fundamentals-II	3	1	0	4	4
5	ESC	24B15CS121	Software Development Fundamentals Lab-II	0	0	2	2	1
6	HSC	24B16HS111	Life Skills & Professional Communication Lab	0	0	2	2	Qualifying
7	ESC	18B15GE111	Engineering Drawing & Design	0	0	3	3	1.5
8	HSC	15B11HS111	Universal Human Values (UHV)	2	1	0	3	3
Total							24	18.5

Third Semester

S. No.	Category	Course Code	Course Title	Contact Hours				Credits
S. No.	Category	Course Code	Course Title	L	T	P	Total	Credits
1	BSC	24XXXXX	Mathematical and Statistical Foundations for Computation Intelligence	3	1	0	4	4
2	PCC	XXXXXXX	Artificial Intelligence	3	1	0	4	4
3	PCC	XXXXXXX	Artificial Intelligence Lab	0	0	2	2	1
4	PCC	15B11CI311	Data Structures	3	1	0	4	4
5	PCC	15B17CI371	Data Structures Lab	0	0	2	2	1
6	PCC	24B11CS213	Database Management Systems	3	0	0	3	3
7	PCC	24B15CS213	Database Management Systems Lab	0	0	2	2	1
8	PCC	XXXXXXX	Python Lab	0	0	2	2	1
9	HSC	15B11HS211	Economics	2	1	0	3	3
10	PRC	XXXXXXX	Summer Training-I (4 weeks)	0	0	0	0	2
Total							26	24

Fourth Semester

S. No.	Category	Course Code	Course Title	Contact Hours				Credits
S. No.	Category	Course Code	Course Title	L	T	P	Total	Credits
1	HSC	XXXXXXX	HSS Elective – 1	2	1	0	3	3
2	PCC	XXXXXXX	Machine Learning Fundamentals	3	1	0	4	4
3	PCC	XXXXXXX	Machine Learning Lab	0	0	2	2	1
4	PCC	24B11CS221	Design and Analysis of Algorithms	3	1	0	4	4
5	PCC	24B15CS221	Design and Analysis of Algorithms Lab	0	0	2	2	1
6	PCC	24B11CS321	Web Technology	3	0	0	3	3
7	PCC	24B15CS321	Web Technology Lab	0	0	2	2	1
8	PCC	24B11CS312	Operating Systems	3	0	0	3	3
9	PCC	24B15CS312	Operating Systems Lab	0	0	2	2	1
10	PEC	XXXXXXX	Discipline Elective – 1	2	0	0	2	2
11	PEC	XXXXXXX	Discipline Elective – 1 Lab	0	0	2	2	1
12	OMC	19B13BT211	Environmental Studies	3	0	0	3	Qualifying
Total							32	24

Fifth Semester

S. No.	Category	Course Code	Course Title	Contact Hours				Credits
S. No.	Category	Course Code	Course Title	L	T	P	Total	Credits
1	PCC	XXXXXXX	Deep Learning Foundations	3	1	0	4	4
2	PCC	XXXXXXX	Deep Learning Lab	0	0	2	2	1
3	PCC	XXXXXXX	Natural Language Processing	3	1	0	4	4
4	PCC	XXXXXXX	Natural Language Processing Lab	0	0	2	2	1
5	PEC	XXXXXXX	Discipline Elective – 2	2	0	0	2	2
6	PEC	XXXXXXX	Discipline Elective – 2 Lab	0	0	2	2	1
7	PEC	XXXXXXX	Discipline Elective – 3	2	0	0	2	2
8	PEC	XXXXXXX	Discipline Elective – 3 Lab	0	0	2	2	1
9	BSC	XXXXXXX	Science Elective	3	0	0	3	3
10	OMC	18B12HS311	Indian Constitution & Traditional Knowledge	3	0	0	3	Qualifying
11	PRC	XXXXXXX	Summer Training-II (6 weeks)	0	0	0	0	2
Total							26	21

Sixth Semester

S. No.	Category	Course Code	Course Title	Contact Hours				Credits
S. No.	Category	Course Code	Course Title	L	T	P	Total	Credits
1	PCC	XXXXXXX	Big Data Analytics	3	0	0	3	3
2	PCC	XXXXXXX	Software Engineering	3	0	0	3	3
3	PCC	XXXXXXX	Software Engineering Lab	0	0	2	2	1
4	PCC	XXXXXXX	Generative AI and Emerging Trends	3	0	0	3	3
5	PCC	XXXXXXX	Generative AI Lab	0	0	2	2	1
6	PEC	XXXXXXX	Discipline Elective – 4	3	0	0	3	3
7	PEC	XXXXXXX	Discipline Elective – 5	3	0	0	3	3
8	OEC	XXXXXXX	Open Elective – 1	2	0	0	2	2
9	Value Added	XXXXXXX	Selected Value-Added Course	2	0	0	2	Audit
10	HSC	24B15HS311	Soft Skill For Employability	0	0	2	2	1
11	PRC	XXXXXXX	Minor Project	0	0	4	4	2
Total							29	22

Seventh Semester

S. No.	Category	Course Code	Course Title	Contact Hours				Credits
S. No.	Category	Course Code	Course Title	L	T	P	Total	Credits
1	PEC	XXXXXXX	Discipline Elective – 6	3	0	0	3	3
2	OEC	XXXXXXX	Open Elective – 2	3	0	0	3	3
3	PRC	XXXXXXX	Major Project Part – 1	0	0	0	8	4
4	PRC	XXXXXXX	Summer Training – III (6 weeks)	0	0	0	0	4
Total							14	14

Eighth Semester

S. No.	Category	Course Code	Course Title	Contact Hours				Credits
S. No.	Category	Course Code	Course Title	L	T	P	Total	Credits
1	PEC	XXXXXXX	Discipline Elective – 7	3	0	0	3	3
2	OEC	XXXXXXX	Open Elective – 3	3	0	0	3	3
3	PRC	XXXXXXX	Major Project Part – 2	0	0	0	16	8
Total							22	14

Total Program Credits: 22.5 + 18.5 + 24 + 24 + 21 + 12 + 14 + 14 = 160

Frequently Asked Question

What AI-specific ecosystem supports this programme at JIIT?

The programme is supported by initiatives such as the AI for Education, Centre of Excellence and specialised computing facilities like Ramanujan Supercomputer, cybersecurity lab, AI Skill lab etc. where students work on AI-based projects and applications.

What kind of exposure to emerging AI domains does the programme provide?

How is real-world AI problem-solving built into the programme?

How does JIIT ensure the programme stays aligned with current AI trends?

When and how are internships conducted in the AI & ML programme at JIIT?

B.Tech in Artificial Intelligence & Machine Learning