Admissions Open for Cohort 3: Round 2 Deadline – 27th April 2025
B.Tech Computer Science & Engineering with
Artificial Intelligence & Machine Learning
- Duration: 4 Years (8 Semesters)
What is Artificial Intelligence & Machine Learning?
Artificial Intelligence (AI) is a branch of computer science that focuses on creating systems capable of performing tasks that typically require human intelligence. These tasks include reasoning, learning, problem-solving, perception, language understanding, and decision-making.
Machine Learning is a branch of artificial intelligence that allows computers to learn from data, identify patterns, and make decisions or predictions without being specifically programmed for each task. It helps systems improve automatically through experience.
Curriculum
Curriculum Highlights
1. Machine Learning Fundamentals
2. Deep Learning
3. AI & ML Tools and Frameworks
4.Natural Language Processing (NLP)
5. Computer Vision
6. Capstone Projects & Industry Readiness
7. Machine Learning Algorithms
Programme Curriculum
Applications of AI & ML
AI Materials Innovation Engineer
An AI Materials Innovation Engineer applies AI to discover and optimize new materials faster.
Major
AI/ML
Minor
Nanotech
Lab
Foundation Model Lab
Multi-Modal AI Model Trainer
A Multi-Modal AI Model Trainer builds AI models that learn from text, images, and more.
Major
AI/ML
Minor
Robotics
Lab
embodied ‘Brain’ lab, soft “brain” lab
Robotics AI Specialist
A Robotics AI Specialist develops intelligent systems that enable robots to perceive, learn, and act autonomously.
Major
AI/ML
Minor
Robotics
Lab
Embodied ‘Brain’ lab
Bio-AI Specialist
A Bio-AI Specialist uses AI to analyze and solve complex problems in biology and healthcare.
Major
AI/ML
Minor
bio-informatics
Lab
Embodied ‘Brain’ lab
AI Materials Innovation Engineer
An AI Materials Innovation Engineer applies AI to discover and optimize new materials faster.
Major
AI/ML
Minor
Nanotech
Lab
Foundation Model Lab
Multi-Modal AI Model Trainer
A Multi-Modal AI Model Trainer builds AI models that learn from text, images, and more.
Major
AI/ML
Minor
Robotics
Lab
embodied ‘Brain’ lab, soft “brain” lab
Robotics AI Specialist
A Robotics AI Specialist develops intelligent systems that enable robots to perceive, learn, and act autonomously.
Major
AI/ML
Minor
Robotics
Lab
Embodied ‘Brain’ lab
Bio-AI Specialist
A Bio-AI Specialist uses AI to analyze and solve complex problems in biology and healthcare.
Major
AI/ML
Minor
Bio-Informatics
Lab
Embodied ‘Brain’ lab
Fees Structure
| Program Name | Duration | Annual Fee (INR) | Qualification |
|---|---|---|---|
|
B.Tech. (with one Major & one Minor Specialization pattern)
Computer Science & Engineering with any one Major Specialization in
|
4 Years | ₹ 1,60,000 |
Passed 10+2 from any government recognized board with Physics and Mathematics as compulsory subjects, along with one of the following: Chemistry / Biotechnology / Computer Science / Biology with at least 70%. |
Top Engineering Career Prospects
01
Chatbots and virtual assistants
02
Machine Learning Engineer
03
Research Scientist (AI/ML)
04
Computer Vision Engineer
05
NLP Engineer
06
Data Scientist
07
AI Product Manager
08
Robotics Engineer
Emerging Trends
01
AI Engineer
02
Automated Machine Learning (AutoML)
03
Generative Models
04
Multimodal Learning
05
Quantum Machine Learning
Prospective Placement Partners
An Overview
Future-Ready Tech Labs
Train, build, and test AI systems in real-world labs.
Foundation Model Lab
Master cutting-edge AI by fine-tuning models for material science (with Microsoft's MatterGen), drug discovery, and more. Outcome: Become a leading AI Engineer, Foundation Model Engineer, or Data Engineer.
Embodied Brain Lab
Dive into Robotics, Exoskeletons, and ROS on Nvidia Jetson. Build 3D printed humanoids and leverage our patented multi-agentic "brain" system – your key to becoming a top 1% AI engineer.
Soft "Brain" Lab
Develop next-gen software "robots" with end-to-end AI experiences for diverse sectors, powered by our unique "brain" technology.
RISC-V Systems Lab
Engineer the future with India's pioneering semiconductor technology, building essential systems and chips for tomorrow.
Augmented Human Lab
Explore the frontiers of Human-AI interaction – from Apple Vision Pro and holography to AI filmmaking, UX design, and future communication.
AESTR @Advantages
Train for roles powering the next generation of banking, robotics, healthcare, and more—with real-world impact and future security.
1
Student awarded as First Google Ambassador.
2
Recipient of I.GAUGE E-LEAD CERTIFICATE
3
Benefit from credit transfer-degree programmes
Student chapters of Professional Bodies IEEE, CSI, NPTEL, ICT, IETE, SAE, IAESTE, etc.
Future Scope of AI & Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) represent critical branches of computer science focused on the development of algorithms and systems that can perform tasks requiring human-like intelligence. The rapid advancements in computational capabilities, availability of big data, and innovative algorithmic approaches have accelerated the adoption of AI & ML across various sectors. The future scope of AI & ML is extensive and poised to transform multiple facets of technology, economy, and society.
- Integration and Expansion Across Industries
- Enhancement of Human-AI Collaboration
Why AESTR ?
The only engineering school where AI teaches you, and the future hires you.
Intensive Bootcamps
Taught by senior industry Engineers, offering hands on real-world learning experiences.
AESTR Quality Assurance Pathways
We provide clear, ambitious pathways to ensure your career takes off.
NAAC A+
NIRF Ranked 101-150
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Admissions Open at Suresh Gyan Vihar University for 2025-2026