What will you in LangChain- Develop LLM powered applications with LangChain Course
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Build three end‑to‑end LangChain-powered LLM applications in Python.
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Apply prompt engineering techniques (chain-of-thought, ReAct, few-shot) within real workflows.
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Integrate components: chains, agents, document loaders, memory, and callback functions.
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Implement Retrieval‑Augmented Generation (RAG) with vector stores like Pinecone and FAISS.
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Navigate LangChain’s expression language and dive into its open-source codebase.
Program Overview
Module 1: Introduction to LangChain & Model Setup
30 minutes
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Understand the framework architecture and required Python environment.
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Walk through basic LangChain setup with API keys and model configuration.
Module 2: Chains, Prompt Templates & Basic Apps
120 minutes
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Learn chains structure, prompt templates, and input/output mapping.
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Build first real-world LangChain app using OpenAI LLM.
Module 3: Memory & Document Loaders
90 minutes
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Integrate memory to maintain conversation context across sessions.
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Load data (PDF, text) into your app and manage document ingestion.
Module 4: RAG & Vector Databases
90 minutes
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Implement RAG pipelines using Pinecone and FAISS.
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Set up embeddings, similarity search, and semantic retrieval logic.
Module 5: Agents, Callbacks & LCEL
90 minutes
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Design multi-step agents capable of API calls and Python execution.
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Learn about callbacks and experiment with LangChain’s expression language.
Module 6: Review, Debugging & Real-world Integration
60 minutes
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Analyze your deployed apps, debug chains, and optimize performance.
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Review best practices and how to extend your project further.
Get certificate
Job Outlook
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High Demand: LangChain skills are essential for roles in AI product development and LLM engineering.
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Career Advancement: Useful for software engineers transitioning into GenAI app development.
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Salary Potential: $100K–$180K+ for roles involving LLM workflows and AI services.
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Freelance Opportunities: Building chatbots, document-based assistants, and RAG-powered tools for clients.
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LangChain 101 for Beginners: OpenAI, ChatGPT & LLMOps – Learn the basics of LangChain and LLMOps, integrating OpenAI tools to develop functional AI applications.
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Master LangChain & Gen AI: Build #16 AI Apps HuggingFace LLM – Advance your skills by creating multiple generative AI applications with HuggingFace LLMs and LangChain, combining coding and AI workflows.
Related Reading
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