What will you in ChatGPT and LangChain: The Complete Developer’s Masterclass Course
Integrate ChatGPT into production-grade apps using LangChain components and pipelines.
Build multi-step text-generation workflows with retrieval augmentation, memory, and user-feedback loops.
Implement real-time server-to-browser streaming via Celery, Redis, and observability tooling.
Create custom ChatGPT plugins for database access and code execution within your applications.
Develop a fully-featured Chat-with-a-PDF web app, including file upload, authentication, streaming, and tracing.
Program Overview
Module 1: Intro & Setup
⏳ 30 minutes
Environment setup: Python, LangChain, ChatGPT‑4 API integration.
Foundations: chains, conversational memory, and feedback-driven refinement.
Module 2: Chains & Pipelines
⏳ 90 minutes
Build pipelines combining LangChain components and feedback logic.
Introduce semantic memory and RAG using embeddings and retrievers.
Module 3: Retrieval-Augmented Generation
⏳ 120 minutes
Integrate vector stores (ChromaDB, Pinecone) with embeddings.
Enable conversational memory, context summarization, and plugin-driven tool chains.
Module 4: Web App – Chat With PDF
⏳ 90 minutes
Build and deploy a PDF chatbot with authentication and streaming UX.
Manage large documents via streaming, memory, and backend optimizations.
Module 5: Plugins & Tools
⏳ 75 minutes
Develop OpenAI plugins: database lookups, calculations, code execution.
Integrate custom tools into your ChatGPT workflows.
Module 6: Distributed Systems & Observability
⏳ 45 minutes
Use Celery, Redis for asynchronous LLM processing pipelines.
Implement tracing and telemetry to monitor user & AI interactions.
Get certificate
Job Outlook
High demand for AI engineers specializing in production-ready LLM pipelines, agents, and AI-driven apps.
Elevates credentials for roles in AI engineering, backend development, and intelligent system design.
Salary potential: $120K–$180K+ for GenAI-enabled software developers.
Freelance potential: Develop chatbot systems, AI plugin integrations, and backend pipelines.
Specification: ChatGPT and LangChain: The Complete Developer’s Masterclass
|
