Agentic AI
Agentic AI refers to autonomous systems that act independently to achieve complex, multi-step goals, moving beyond simple, reactive chatbot responses to proactive, goal-oriented actions.
Key Concept: These agents perceive their environment, reason through problems, use tools, and make decisions to execute workflows with minimal human oversight, often collaborating with other agents.
Course Modules
Introduction to Agentic AI
Understanding autonomous AI systems
From Chatbots to Agents
Evolution of conversational AI
Agent Architectures
ReAct, Chain of Thought, and more
Perception and Environment
How agents perceive their world
Reasoning and Planning
Decision-making processes
Tool Use and Function Calling
Extending agent capabilities
Memory Systems
Short-term and long-term memory
Multi-Agent Collaboration
Agents working together
Orchestration Frameworks
LangChain, AutoGPT, CrewAI
Building a ReAct Agent
Hands-on implementation
Agent Evaluation
Measuring agent performance
Safety and Alignment
Keeping agents under control
Real-World Applications
Enterprise use cases
Building Your Own Agent
End-to-end project