Description
The Complete LangChain Bootcamp: Build LLM‑Powered Apps is a course on how to build applications powered by large language models using the LangChain framework, published by Udemy Online Academy. Suitable for Python developers, AI engineers, software developers, and generative AI enthusiasts, this course covers the complete workflow of connecting LLMs to notifications, data sources, tools, memory, and external services. Participants will explore LangChain components, notification templates, model integration, document loading, embeddings, vector databases, retrieval additive manufacturing (RAG), tool invocations, agents, and application workflows. The Complete LangChain Bootcamp takes you from a complete beginner to a production-ready AI engineer with 80 hands-on lectures in 12 comprehensive sections.
Each session is presented as a Jupyter Notebook with ready-to-run code, clear explanations, pro tips, and exercises with solutions. You will build over 15 real-world projects, including a PDF chatbot, legal search engine, automated evaluation pipeline, multi-agent research team, and a full-stack multi-faceted SaaS application. By the end, you will have the skills to design, deploy, and scale complex LangChain applications in production. Enroll now and become an LLM engineer.
What you will learn in The Complete LangChain Bootcamp: Build LLM‑Powered Apps :
- Install and configure LangChain for local development and production.
- Understand LLM fundamentals: tokens, context windows, and generation parameters
- Work with OpenAI, HuggingFace, and local Ollama models.
- Craft effective prompts using system/human/AI messages, few‑shot selectors, and output parsers
- Build chains with LCEL, sequential flows, conditional branching, and parallel execution.
- Implement Retrieval‑Augmented Generation (RAG) with loaders, splitters, embeddings, Chroma, and FAISS.
- Manage conversational state with buffer, summary, entity, and custom memory.
- Create autonomous agents that use built‑in and custom tools (search, calculator, APIs).
- Master advanced retrieval: multi‑query, self‑query, parent document, ensemble, and compression
- Evaluate and debug apps with LangSmith, custom evaluators, callbacks, and A/B testing.
- Serve LangChain apps with FastAPI and Streamlit; deploy to Fly io, AWS, and Streamlit Cloud.
- Secure LLM apps, manage API keys, prevent prompt injection, and monitor production.
- and …
Course specifications
Publisher: Udemy
Instructors: Shayan Janati
Language: English
Level: Introductory to Advanced
Number of Lessons: 60
Duration: 7h 43m
Course topics
The Complete LangChain Bootcamp: Build LLM‑Powered Apps Prerequisites
Basic Python knowledge (functions, classes, pip, virtual environments).
An OpenAI API key (free trial credits are enough to start).
A computer with Python 3.9+ and an internet connection.
No prior experience with LangChain or LLM frameworks is required.
Pictures
The Complete LangChain Bootcamp: Build LLM‑Powered Apps introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1440p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
5.6 GB