Course Information
Course Overview
Real Generative AI Apps using ChatGPT, LangChain, Hugging Face, OpenAI API, RAG, Vector DBs, Zapier & No-Code AI Tools
Unlock the power of Generative AI and learn how to build real-world applications using cutting-edge tools like ChatGPT, LangChain, Hugging Face, and more — even if you’re not a developer.
This course starts with a fast-track module for non-coders, introducing you to practical no-code AI tools like Zapier, Canva AI, and Notion AI. You’ll quickly understand how Generative AI works — no math, no jargon, just clear and practical insights.
You’ll then dive deep into Large Language Models (LLMs), learning how models like GPT and open-source alternatives function, and how to interact with them through effective prompt engineering. Understand the difference between OpenAI's APIs, local models, and when to use each.
The course progresses with hands-on projects using the OpenAI API and LangChain to build intelligent assistants, custom chatbots, and agent-based tools. You’ll explore how to integrate tools and functions, use LangGraph for complex multi-step workflows, and build applications like weather and calculator agents.
You'll also learn how to incorporate Hugging Face models, perform text classification, and explore LoRA fine-tuning basics — all with step-by-step guidance. The Retrieval-Augmented Generation (RAG) section will teach you how to connect AI with custom documents, PDFs, and websites using embeddings and vector databases like Pinecone, ChromaDB, and FAISS.
We’ll also cover critical topics like AI safety, bias, responsible prompt engineering, and deploying your apps using tools like Streamlit, Gradio, and Hugging Face Spaces. You’ll even learn how to add a simple frontend with HTML/CSS/JS to showcase your work live.
By the end of the course, you’ll complete real-world capstone projects such as a Social Media Post Generator and a Podcast AI Summarizer, and learn how to build a portfolio on GitHub that demonstrates your skills to potential clients or employers.
Whether you're a developer, freelancer, entrepreneur, or aspiring AI builder, this course will give you the skills and confidence to build intelligent applications with Generative AI.
Course Content
- 10 section(s)
- 51 lecture(s)
- Section 1 No-Code AI Fast Track for Beginners
- Section 2 Introduction to Generative AI & Emerging Trends
- Section 3 Comprehensive Guide to Large Language Models (LLMs)
- Section 4 OpenAI API Essentials for Beginners
- Section 5 LangChain Essentials for AI App Development
- Section 6 LangChain Advanced — Agents & LangGraph
- Section 7 Hugging Face & Open-Source Language Models
- Section 8 Memory Systems & Retrieval-Augmented Generation (RAG)
- Section 9 Vector Databases for AI Applications
- Section 10 Real-World AI Projects and Deployment
What You’ll Learn
- Understand generative AI, LLMs, RAG, and vector databases in simple terms.
- Build AI apps with OpenAI, LangChain, Hugging Face, and vector DBs.
- Use no-code AI tools like Zapier, Notion AI, and Canva to automate tasks.
- Deploy AI chatbots and apps via Streamlit, Gradio, and Hugging Face Spaces.
Skills covered in this course
Reviews
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JJude Rowe
Super engaging and deeply informative course.
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FFreya Saunders
Practical, insightful, extremely helpful
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PPenelope Brooks
Highly Valuable AI Training
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NNatalie Greene
Highly engaging, practical, and impactful.