What will you in LangChain Mastery: Build GenAI Apps with LangChain &Pinecone Course
Grasp LangChain fundamentals for building powerful LLM applications with Python.
Integrate Pinecone and Chroma vector databases for semantic search and RAG workflows.
Develop real-world apps like document summarizers, chatbots, and RAG pipelines step-by-step using Streamlit.
Apply prompt engineering techniques within LangChain—stuff, map_reduce, refine, and agent strategies.
Learn to deploy interactive web UIs using Streamlit and AI coding assistants like Jupyter AI.
Work with OpenAI’s GPT models and Google Gemini within LangChain projects.
Program Overview
Module 1: LangChain & Environment Setup
⏳ 30 minutes
Install Python, LangChain, Pinecone SDK, and configure API keys for OpenAI/Gemini.
Understand the architecture of chain, agent, and vector workflows used in later modules.
Module 2: Building a Document Summarizer
⏳ 60 minutes
Create a summarization system with LangChain chains (stuff, map/ reduce, refine).
Integrate vector embeddings and perform QA on large text documents.
Module 3: RAG & Vector Stores
⏳ 60 minutes
Setup and query Pinecone and Chroma for vector indexing.
Build Retrieval-Augmented Generation components connecting text to LLM outputs.
Module 4: LangChain Agents & Chains
⏳ 75 minutes
Form multi-step agent workflows using tools, prompt templates, and function calling.
Use Jupyter AI assistants for interactive agent testing and refinement.
Module 5: Interactive Streamlit Front-End
⏳ 60 minutes
Build web interfaces for LLM apps: Streamlit widgets, session states, callbacks.
Deploy chatbot, file uploader, and summarizer apps via Streamlit.
Module 6: Prompt Engineering & Best Practices
⏳ 45 minutes
Explore prompt templates, few-shot prompting, refinement, and chain-of-thought.
Learn to troubleshoot prompt performance and context in real applications.
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Job Outlook
High demand for LLM and RAG engineers capable of building AI-powered systems end-to-end.
Valuable skill for AI product development, ML engineering, and conversational AI roles.
Salary potential: $100K–$180K+ in AI-focused software engineering careers.
Freelance opportunities: RAG systems, document AI, chatbot development, and custom AI apps.
Specification: LangChain Mastery: Build GenAI Apps with LangChain &Pinecone
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