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Building AI Agents: From Basics to Advanced

Building AI Agents: From Basics to Advanced

author
Generated by
ProCodebase AI
Date created
24/12/2024

Learn to design, build, and deploy AI agents using LangChain and LangGraph. This course covers prompt engineering, memory systems, multi-agent setups, tool integrations, safety, and ethical considerations, equipping you with practical skills to create powerful and reliable AI-driven systems for real-world applications.

What you will learn

  • Introduction to AI Agents
  • Setting Up Your Development Environment for Generative AI
  • LangChain Fundamentals
  • Building Your First AI Agent
  • Mastering the Art of Prompt Engineering for Generative AI
  • Understanding Agent Memory
  • Supercharging AI Agents
  • Task Planning for AI Agents
  • Implementing ReAct Patterns in Generative AI
  • Getting Started with LangGraph
  • Designing Multi-Agent Systems for Generative AI
  • Mastering Agent Evaluation
  • Creating Specialized AI Agents
  • Leveraging Knowledge Bases and Vectors in Generative AI
  • Effective Error Handling Strategies for AI Agents
  • Mastering Agent Monitoring and Debugging in Generative AI Systems
  • Building Custom Agent Tools
  • Chain Patterns for Complex Tasks in Generative AI
  • Deploying and Scaling AI Agents
  • Ensuring Safety and Ethics in AI Agents