Introduction to Agentic AI
Discover the fundamentals of Agentic AI and autonomous AI systems. Learn how AI agents reason, plan, and take actions to accomplish complex goals.
Prerequisites
- Basic understanding of AI and machine learning concepts
- Familiarity with Python programming
- Interest in building autonomous AI systems
Who Should Attend
- AI/ML Engineers
- Software Developers building AI products
- Technical Leads evaluating agent frameworks
- Career changers entering the AI field
- Anyone with basic technical literacy
Course Outline
- 1What is Agentic AI? - Definitions, history, and current landscape
- 2Agent architectures: ReAct, Plan-and-Execute, and Tool-Use patterns
- 3Understanding agent reasoning and decision-making loops
- 4Introduction to LLM-powered agents and their capabilities
- 5Agent memory systems: short-term, long-term, and episodic memory
- 6Tool integration basics: APIs, functions, and external services
- 7Building your first simple AI agent with Python
- 8Agent evaluation metrics and testing strategies
Learning Outcomes
- Understand the core principles of Agentic AI systems
- Identify use cases suitable for AI agent implementations
- Build simple AI agents using popular frameworks
- Evaluate agent performance and reliability
- Design basic agent architectures for specific tasks
- Integrate external tools and APIs with AI agents
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Contact us to schedule training for your team or inquire about upcoming sessions.