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 :

• Designing and implementing AI models to simulate human intelligence.
• Machine learning algorithms for predictive analytics, pattern recognition, and decision-making.

2. Curriculum Overview :

Foundational Courses :

• Data Structures, Algorithms, Probability, Statistics, and Linear Algebra.

AI Core Topics :

• Deep Learning, Natural Language Processing, Computer Vision, and Robotics.

ML Core Topics :

• Supervised/Unsupervised Learning, Reinforcement Learning, and Neural Networks.

Emerging Areas :

• Explainable AI, Generative AI, and Federated Learning.

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:

• Healthcare: Disease prediction and personalized treatment.
• Autonomous Vehicles: Self-driving technology and control systems.
• 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 :

• Collaboration with tech companies for internships and research.
• 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.