B.Tech. Program in Artificial Intelligence and Machine Learning (AI & ML)

The B.Tech. in Artificial Intelligence and Machine Learning is a cutting-edge undergraduate program designed to prepare students for a career in developing intelligent systems and advanced computational models. This program emphasizes both theoretical foundations and hands-on applications in AI and ML, equipping students with skills to solve complex real-world problems through automation and intelligent decision-making.

Program Highlights

1. Core Focus:
o Designing and implementing AI models to simulate human intelligence.
o Machine learning algorithms for predictive analytics, pattern recognition, and decision-making.

2. Curriculum Overview:

o Foundational Courses: Data Structures, Algorithms, Probability, Statistics, and Linear Algebra.
o AI Core Topics: Deep Learning, Natural Language Processing, Computer Vision, and Robotics.
o ML Core Topics: Supervised/Unsupervised Learning, Reinforcement Learning, and Neural Networks.
o Emerging Areas: Explainable AI, Generative AI, and Federated Learning.
o Practical Exposure: Use of tools like TensorFlow, PyTorch, Keras, and cloud-based AI platforms.

3. Specialization Opportunities:
Students can explore applications of AI & ML in domains such as:
o Healthcare: Disease prediction and personalized treatment.
o Autonomous Vehicles: Self-driving technology and control systems.
o Financial Technology: Fraud detection and algorithmic trading.

4. Project-Based Learning:
Emphasis on capstone projects, real-world problem-solving, and participation in AI/ML hackathons to foster innovation and teamwork.

5. Industry Connections:

o Collaboration with tech companies for internships and research.
o Insights into industrial applications through seminars and workshops.

Career Opportunities:

Graduates of the AI & ML program can pursue roles such as:
• AI Engineer: Build AI-based systems for automation and intelligent decision-making.
• Machine Learning Engineer: Develop and optimize ML algorithms and models.
• Data Scientist: Use data-driven approaches to extract actionable insights.
• AI Research Scientist: Innovate in advanced areas like generative AI and ethical AI.
• Robotics Engineer: Design intelligent robots using AI techniques.

Future Scope
The program prepares students for the rapidly growing AI and ML landscape, where advancements in generative AI, edge AI, and quantum machine learning are shaping the future. Industries like healthcare, e-commerce, finance, and entertainment are driving significant demand for skilled professionals.