What will you in LangChain MasterClass- OpenAI LLAMA 2 LLM AI Apps|| Gen AI Course
Build production-ready LLM applications using LangChain, OpenAI, and LLaMA 2.
Integrate LangChain components like LLM wrappers, prompt templates, memory, agents, and chains.
Implement embeddings and vector databases (Pinecone, FAISS) for retrieval-augmented generation.
Develop real-world projects: Q&A systems, chatbots, educational tools, CSV and invoice parsers, script generators, ticket classifiers, HR resume screeners, email automators, and more.
Deploy AI apps with modern web front-ends (Streamlit, Hugging Face Spaces).
Program Overview
Module 1: Introduction to LangChain & Setup
⏳ 30 minutes
Overview of LLM app development and environment setup (Python, API keys).
Module 2: Core Components & First Chain
⏳ 45 minutes
Using LLM wrappers, crafting prompt templates, defining basic chains.
Module 3: Memory & Conversational Context
⏳ 60 minutes
Implementing memory strategies (buffer, summary) for context retention.
Module 4: Embeddings & Vector Retrieval
⏳ 60 minutes
Generating embeddings, working with Pinecone/FAISS, enabling RAG workflows.
Module 5: Agents & Tool Integration
⏳ 75 minutes
Building agents with external APIs (e.g., Python REPL, Google Search, calculators).
Module 6: Project-Based App Builds
⏳ 60 minutes
Q&A tool, chatbot, kid-friendly category finder, marketing copy generator, script creator, MCQ quiz builder.
Module 7: CSV & Invoice Tools
⏳ 45 minutes
Extracting patterns from CSVs and parsing invoice data with LLM assistance.
Module 8: Ticket Classification & HR Screening
⏳ 60 minutes
Automating support ticket triage and resume review processes.
Module 9: Email & Pipeline Automation Tools
⏳ 60 minutes
Automating personalized email generation and bulk messaging with LLaMA 2.
Module 10: Front-End Integration & Deployment
⏳ 45 minutes
Deploying applications with Streamlit or Hugging Face Spaces, complete with authentication and UI.
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Job Outlook
High Demand: LangChain skills are highly valued in AI engineering, ML ops, and AI-driven product development.
Career Advancement: Great for AI engineers, Python developers, and data scientists building SMART apps.
Salary Potential: $120K–$180K+ for roles involving LLM app development and deployment.
Freelance Opportunities: Valuable for consultancy, chatbots, document analysis, HR automation, and customer service tools.
Specification: LangChain MasterClass- OpenAI LLAMA 2 LLM AI Apps|| Gen AI
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