Are you...

🤯 Overwhelmed by all the tools and frameworks in the LLM space and don’t know where to start?

🔍 Struggling to turn your AI ideas into working prototypes?

🧩 Confused by LangChain, vector databases, and prompt engineering?

🚫 Tired of tutorials that only show hello world examples with no real use cases?

👀 Watching others build cool AI projects while you’re stuck in analysis paralysis?

🤖 Curious how people are building chatbots, content tools, or agents—but can’t connect the dots yourself?

⚙️ Drowning in APIs like OpenAI, Hugging Face, or Ollama, without knowing how to use them in a full-stack app?

💼 Want 4 solid LLM projects to boost your resume and portfolio?

🚀 Ready to build and deploy real-world apps with LLMs but need a step-by-step guide?

If any of these sound like you, it’s time to roll up your sleeves and build your first (or best) AI-powered app—start to finish. 🛠️✨

Projects You Will Build

This course is focused on learning by doing. Instead of just watching tutorials, you'll build four real-world AI applications using industry tools and frameworks.

Here’s what you’ll create:

  1. AI Tutor App Powered by Hugging Face and Gradio: You will create an interactive tutor that answers questions on any topic.
  2. Automated Market Research Generator Using OpenAI API and Streamlit: You will convert raw inputs into full market research reports in just a few clicks.
  3. Personal Finance Tracker QA System Built with OpenAI API, FAISS, and Streamlit: You will develop a tool that can understand your financial data and answer questions on demand.
  4. Medical Wellness Assistant Developed using OpenAI, Pinecone, Flask, HTML, and CSS: You will design an LLM assistant that provides health-related support and information retrieval.

💡 If you're ready to stop reading about AI and start building it, this course is your next step.

Curriculum

  0. Introduction
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  1. LLMs Demystified: From Basics to API Integration
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  2. Designing Effective Prompts and Building with LangChain
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  3. Retrieval-Augmented Generation (RAG) with Vector Databases
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  4. Capstone Project
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WHO IS THIS COURSE FOR?💻

This course is for anyone who wants to build real-world AI apps—with code to show for it. The only requirement? You know some Python.

🧠 Tech Professionals & Tinkerers: Software engineers, data scientists, ML enthusiasts—learn how to actually build and ship LLM-powered tools.

👶 New to AI or Non-Tech Background? No problem. If you can code in Python, we’ll guide you through APIs, LangChain, and LLM workflows step by step.

📈 Upskillers & Career Switchers: Want to pivot into AI or stand out in a crowded job market? Build 5 polished projects you can add to your resume or GitHub.

🚀 Product Builders & Founders: Got an idea? This course shows you how to bring it to life using LLMs, LangChain, and real-world tools.

🛠️ Hackathon Junkies & Side Project Nerds: Need project inspiration or structure? This is your go-to for building something that actually works.

If you’re ready to stop just reading about AI and start building it—this is your course.

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