What will you in LangChain with Python Bootcamp Course
Master LangChain components: model I/O, prompt templates, chains, agents, memory, and output parsing.
Integrate vector databases (e.g., ChromaDB) to build RAG pipelines and structured retrieval workflows.
Utilize Document Loaders, Text Splitters, and Memory modules to manage context in LLM apps.
Switch between LLM providers (OpenAI, Hugging Face) seamlessly with LangChain model abstractions.
Build custom agents capable of web scraping, function-calling, and automation logic through LangChain agents.
Gain insight into LangChain’s internals, including LangSmith, LangGraph, and its modular open-source codebase.
Program Overview
Module 1: Model I/O & Prompt Templates
⏳ 30 minutes
Learn to interact with different LLMs and craft prompt templates for various workflows.
Practice switching LLM providers without changing your core logic.
Module 2: Document Loaders & Vector Databases
⏳90 minutes
Load PDFs, text files, and web data; preprocess with text splitters.
Connect to vector stores like ChromaDB for semantic retrieval in RAG scenarios.
Module 3: Chains & Memory Management
⏳90 minutes
Build sequential, transform, and retrieval chains.
Implement memory to sustain conversational context in chatbots.
Module 4: Agents & Tool Integration
⏳120 minutes
Create agents that execute function calls, fetch web data, and respond intelligently.
Use agent routers for dynamic model and tool selection.
Module 5: Output Parsing & Serialization
⏳60 minutes
Extract structured data using output parsers and Pydantic models.
Serialize results for downstream applications and API consumption.
Module 6: Deployment, LangSmith & LangGraph
⏳60 minutes
Explore LangChain deployment tools (LangSmith, LangGraph).
Learn best practices for debugging, testing, and production-readiness.
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Job Outlook
High Demand: LangChain skills are essential for roles in GenAI engineering and LLM-powered product development.
Career Advancement: Ideal for backend and ML engineers transitioning to AI-powered apps.
Salary Potential: $100K–$180K+ for LLM-focused engineering positions.
Freelance Opportunities: Clients seek chatbots, RAG systems, and AI tools powered by LangChain.
Specification: LangChain with Python Bootcamp
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