Understanding Agentic AI: Features, Impact, and Practical Implementation
Topics Covered: Introduction to Agentic AI Rapid advancements in AI technology Difference between generative AI and agentic AI Impact of Agentic AI on Jobs and Skills Job market transformations Required skills for agentic AI (Machine Learning, Deep Learning, NLP, etc.) How Agentic AI Works: Concept and Examples Explanation using real-life agents (IRCTC, LIC agents) Role of AI agents in decision-making and execution Key Features of Agentic AI Autonomous decision-making Goal-oriented execution Feedback-based improvement Adaptability in changing scenarios Comparison: Generative AI vs. Agentic AI Generative AI focuses on content creation Agentic AI is goal-driven and executes actions Technological Implementation of Agentic AI Tools and libraries (MCTS, Ray, Lanchain, etc.) Use of AI in different industries (finance, healthcare, customer support) Practical Demonstration: Andrew Ng’s Vision Agent Introduction to Vision Agent AI Image and vide...