Explore AI Courses & Resources
| Description | This course, provides a comprehensive introduction to AI. It covers essential topics including state-space search, logic-based reasoning, probabilistic models, and machine learning, progressing from foundational problem-solving techniques to advanced concepts like neural networks and deep learning. |
| Instructor | Prof. Shyamanta M Hazarika |
| Videos | 35 |
| Link | ▶ Watch |
| Description | The AI Fundamentals playlist provides a comprehensive guide to modern artificial intelligence. It simplifies complex topics like Machine Learning, Generative AI, LLMs, and RAG, while exploring emerging trends such as AI Agents and Agentic AI to help viewers navigate the evolving tech landscape. |
| Platform | YouTube |
| Videos | 44 |
| Link | ▶ Watch |
| Description | Artificial Intelligence: Principles and Techniques introduces core AI concepts and methods for solving complex real-world problems. Students learn search, machine learning, Markov decision processes, game playing, constraint satisfaction, graphical models, and logic. Coursework includes lectures, problem sessions, and hands-on assignments to build practical AI systems. |
| Videos | 19 |
| Link | ▶ Watch |
| Description | This course covers the fundamentals of working with AI, like understanding its strengths and limitations so you can leverage it effectively at work. You’ll learn how to give AI clear and specific instructions, called prompts, and how to use AI responsibly by maintaining a “human-in-the-loop” approach. |
| Modules | 6 Modules (14 Videos) |
| Platform | Coursera |
| Link | Enroll |
| Description | This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective. |
| Lectures | 23 |
| Instructor | Patrick Winston |
| Link | View Course |