Начальный уровень3 modules9 lessons120m total

Tools and Memory for Agents

Learn how to give AI agents superpowers through tools and memory systems. This course covers function calling, custom tool creation, and the major memory architectures — short-term conversation buffers, vector-store long-term memory, and external structured memory. By the end you will be able to build agents that remember user preferences, retrieve relevant context from large knowledge bases, and use external APIs seamlessly.

  • tools
  • memory
  • function-calling
  • vector-store
  • rag
  • agents
curriculum

Программа

01

Tool Use in Agents

3 lessons
  1. Function Calling Fundamentals
    13m
  2. Creating Custom Tools
    14m
  3. Tool Error Handling and Validation
    12m
02

Memory Systems

3 lessons
  1. Conversation Memory and Buffers
    13m
  2. Vector Store Long-Term Memory
    14m
  3. Structured External Memory
    12m
03

Building Tool-Augmented Agents

3 lessons
  1. Retrieval-Augmented Generation (RAG) Pipeline
    14m
  2. Integrating Tools and Memory
    13m
  3. Production Tool-Agent Patterns
    15m