Agentic AI Crash Course

Understanding the fundamental differences between generative AI and agentic AI, core capabilities, and real-world applications.

Explore workflow agents, semi-autonomous agents, rule-based systems, and autonomous agents with decision frameworks.

Learn about AI model integration, API connections, tool ecosystems, and custom tool development.

Deep dive into Retrieval-Augmented Generation, traditional vs agentic RAG, and implementation patterns.

Understanding Model Context Protocol, AI model integration strategies, and enterprise implementation.

Agent planning strategies, reasoning model integration, and advanced reasoning capabilities.

Short-term and long-term memory systems, architecture patterns, and performance optimization.

Multi-agent architecture, hierarchical patterns, coordination strategies, and scalability considerations.

Case studies of production systems, architecture patterns, and lessons from enterprise implementations.

Latest developments, future trends, industry roadmap, and emerging technologies in agentic AI.