Learn the Skills Netflix, Meta, and Capital One Actually Hire For
Master Agentic AI, GANs, Fine-Tuning & LLM Apps
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
ABOUT THE COURSE:Artificial Intelligence is found being increasing used nowadays to carry out tasks which used to be done by humans manually. This is a post graduate level course which teaches about the terminology and techniques employed in Artificial Intelligence. This covers concepts such as general problem solving, logic and reasoning, machine learning and deep learning, generative AI, and planning. Topics like genetic algorithms and swarm intelligence are also covered. Some AI programming languages like Lisp, Prolog and CLIPS are taught with assignments being covered in these languages. Practical applications like web-based agents, mobile agents, and negotiating agents are covered. Philosophical and ethical considerations are also discussed.INTENDED AUDIENCE: Instructors and students of academic institutes, employees in IT sector especially working in the Artificial Intelligence fieldPREREQUISITES: Bachelors degree in engineering, MCA, M.Sc.(Maths)INDUSTRY SUPPORT: Industries working on Artificial Intelligence
Syllabus
Week 1: Introduction, Agents
Week 2:Problem Solving
Week 3:Logic and reasoning
Week 4:Programming languages
Week 5:Planning
Week 6:Uncertainty, probability and utility theory, Bayes belief networks
Week 7:Expert Systems
Week 8:Learning algorithms : Neural networks, nearest neighbor, decision trees, SVM, Bayes classifier
Week 9:Deep Learning algorithms, Generative AI
Week 10:Evolutionary algorithms, swarm intelligence
Week 11:Natural language processing, ethical issues
Week 12:Multi agent systems, web agents, applications
Week 2:Problem Solving
Week 3:Logic and reasoning
Week 4:Programming languages
Week 5:Planning
Week 6:Uncertainty, probability and utility theory, Bayes belief networks
Week 7:Expert Systems
Week 8:Learning algorithms : Neural networks, nearest neighbor, decision trees, SVM, Bayes classifier
Week 9:Deep Learning algorithms, Generative AI
Week 10:Evolutionary algorithms, swarm intelligence
Week 11:Natural language processing, ethical issues
Week 12:Multi agent systems, web agents, applications
Taught by
Prof. V. Susheela Devi