Free online courseArtificial Intelligence Masterclass: Search, Logic, Machine Learning and Deep Learning

Course Description

Artificial Intelligence Masterclass: Search, Logic, Machine Learning and Deep Learning is a free online course from NPTEL designed for learners who want a structured path from foundational AI concepts to modern deep learning and generative AI. It fits the Technology and Programming category and focuses on Artificial Intelligence and Machine Learning with a strong balance of theory, reasoning, and practical perspectives.

Start by building core intuition around agents and environments, problem solving, and search strategies, including uninformed and informed search as well as adversarial game-playing approaches. From there, progress into evolutionary computation with genetic algorithms and genetic programming, connecting optimization ideas to intelligent decision-making.

The course then develops a rigorous logic and knowledge representation foundation, covering propositional logic, predicate logic, and inference in first-order settings. You will also explore knowledge-base agents, expert systems, and key planning concepts such as planning graphs, scheduling, and practical approaches for representing and reasoning about the world.

To handle real-world uncertainty, the curriculum introduces probabilistic reasoning through Bayesian networks and dynamic belief networks, alongside utility and decision theory. It then transitions into machine learning essentials, including learning algorithms, ensemble methods, hypothesis learning, and neural network fundamentals such as multilayer perceptrons.

Finally, dive into deep learning workflows with datasets, CNNs, RNNs, and practical sessions that connect models to implementation thinking. The course extends to natural language processing, ethics in AI, generative AI, fuzzy sets with fuzzification and defuzzification methods, and advanced collective intelligence topics like swarm intelligence and multi-agent systems.