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Master LangChain & Gen AI -Build #16 AI Apps HuggingFace LLM

An immersive, project-packed masterclass that equips you to build end-to-end GenAI applications using LangChain and multiple LLM platforms.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What will you in Master LangChain & Gen AI -Build #16 AI Apps HuggingFace LLM Course

  • Master LangChain fundamentals: chains, agents, memory, document loaders, and prompt templates.

  • Build 16 practical LLM apps (Q&A bots, chatbots, quiz creators, CSV analyzer, children’s ed apps).

  • Integrate LLMs from OpenAI, Hugging Face, LLaMA 2, and Google Gemini in real projects.

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  • Implement RAG workflows using vector databases (Pinecone, FAISS) within your AI applications.

  • Create interactive front‑ends with Streamlit and Hugging Face Spaces for your AI tools.

  • Gain real-world experience with structured prompt engineering, few-shot learning, and model chaining techniques.

Program Overview

Module 1: LangChain Basics & Setup

⏳ 30 minutes

  • Install Python environment, API keys, and explore core LangChain components and architecture.

Module 2: Building Q&A & Chat Apps

⏳ 90 minutes

  • Create a dynamic Q&A bot and an engaging conversational chatbot using OpenAI and HF LLMs on Hugging Face Spaces.

Module 3: Educational & Marketing Tools

⏳ 75 minutes

  • Develop children’s object-learning toy app and marketing copy campaign generator with prompt chaining.

Module 4: ChatGPT Clone & Summarizer

⏳ 60 minutes

  • Clone ChatGPT with added summarization layers to enhance dialogue clarity and insight.

Module 5: Quiz App & CSV Analyzer

⏳ 90 minutes

  • Build an MCQ quiz creator and a CSV-data Q&A tool with Pinecone-backed semantics.

Module 6: Additional Use-case Apps

⏳ 90 minutes

  • Expand into apps like customer service call summarizer, content filter, and data extractors across projects 10–16.

Module 7: Deployment & Front‑end Integration

⏳ 60 minutes

  • Deploy your tools via Streamlit or Hugging Face Spaces with session state, widgets, and UI best practices.

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Job Outlook

  • High Demand: LangChain proficiency is increasingly essential in AI development roles.

  • Career Advancement: Equips software engineers to progress into GenAI and RAG app-building positions.

  • Salary Potential: $100K–$180K+ for developers creating production AI tools across industries.

  • Freelance Opportunities: Offer AI chatbots, custom LLM agents, and application integrations as services.

9.6Expert Score
Highly Recommended
A full-spectrum, project-based journey from beginner to AI-app builder using LangChain and GenAI frameworks.
Value
9.3
Price
9.5
Skills
9.7
Information
9.6
PROS
  • Covers 16 end-to-end applications with varied real-world use cases.
  • Supports multiple LLM platforms: OpenAI, Hugging Face, LLaMA 2, Gemini.
  • Offers front-end integrations via Streamlit, optimized for real deployment.
CONS
  • Some feedback mentions inconsistent structure and skipped code walkthroughs.
  • Assumes prior Python knowledge; not ideal for absolute beginners.

Specification: Master LangChain & Gen AI -Build #16 AI Apps HuggingFace LLM

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Master LangChain & Gen AI -Build #16 AI Apps HuggingFace LLM
Master LangChain & Gen AI -Build #16 AI Apps HuggingFace LLM
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