BeginnerAgentic AI Development
AI Agent Fundamentals
Master the foundational concepts of AI agents including reasoning, planning, and tool use. Hands-on exercises with LangChain and OpenAI function calling.
Prerequisites
- Basic Python programming skills
- Understanding of APIs and HTTP requests
- Familiarity with LLMs like ChatGPT or Claude
Course Outline
- 1Agent anatomy: perception, reasoning, action, and feedback loops
- 2LangChain agents deep dive: tools, prompts, and chains
- 3OpenAI function calling and structured outputs
- 4Prompt engineering for agent systems
- 5Error handling and fallback strategies for agents
- 6Agent state management and conversation history
- 7Building agents with memory and context retention
- 8Hands-on lab: Build a research assistant agent
Learning Outcomes
- Build functional AI agents using LangChain framework
- Implement OpenAI function calling for tool integration
- Design effective prompts for agent reasoning
- Handle errors gracefully in agent workflows
- Manage agent state and conversation context
- Create agents that can research and synthesize information
Ready to Get Started?
Contact us to schedule training for your team or inquire about upcoming sessions.