Back to Curso

LangChain Mastery

0% Complete
0/0 Steps

  1. Introduction

    Welcome to the course
    3 Temas
  2. Set up your environment
    6 Temas
  3. Module 1 - Custom Assistants
    LLMs and LangChain
    3 Temas
  4. Prompt Engineering
    7 Temas
  5. Introduction to chains
    4 Temas
  6. Using other LLM providers
    5 Temas
  7. Create a full-stack app
    9 Temas
  8. Module 2 - RAG Applications
    Introduction to RAG
    3 Temas
  9. Introduction to LCEL
    3 Temas
  10. Data loaders
    5 Temas
  11. Vector databases
    8 Temas
  12. Similarity Search (optional)
    4 Temas
  13. Create your RAG assistant
    11 Temas
  14. Module 3 - Agents as Assistants
    Introduction to agents
    5 Temas
  15. Using tools
    8 Temas
  16. Create your own agent
    3 Temas
  17. Observe your agent
    4 Temas
  18. Create your agent app
    4 Temas
  19. BONUS: Deploy your LLM Applications
    Set up for deployment
    5 Temas
  20. Reminder of Git and GitHub
    5 Temas
  21. Managed Hosting
    2 Temas
  22. Containerize your Application
    7 Temas
  23. Deploy your container
    5 Temas
  24. CI/CD
    4 Temas

Participants 1

LangChain Mastery Using other LLM providers Use Google’s models
Lección 6, Tema 4
En curso

Use Google’s models

Alejandro AO diciembre 23, 2024
Lección Progress
0% Complete