Mastering Generative AI and LLMs: An 8-Week Hands-On Journey
Get the CourseWhat You’ll Learn
- Build advanced Generative AI products using cutting-edge models and frameworks
- Experiment with over 20 groundbreaking AI models
- Develop with HuggingFace, LangChain, Gradio, and more
- Use techniques like RAG, QLoRA fine-tuning, and agentic workflows
- Deploy production-ready applications with rich UIs
- Compare and choose from top 10 frontier and open-source LLMs
- Projects include brochure generator, customer support AI, code optimizer, AI knowledge worker, and more
Course Requirements
- Familiarity with Python (basic Python knowledge is assumed)
- Internet-connected PC (Mac/Linux or Windows)
- Approximately $5 budgeted for API use (optional)
Course Overview
This immersive 8-week course, led by AI veteran Ed Donner, equips learners to build and deploy advanced Generative AI solutions. Through eight hands-on projects, you'll apply the latest techniques in RAG, QLoRA fine-tuning, and autonomous agent systems. You’ll explore over 20 leading AI models and engineer real-world applications including chatbots, meeting assistants, code translators, and ecommerce price predictors.
Each week brings a new frontier — from model selection and deployment, to fine-tuning and building agent-powered workflows. By the end, you’ll be able to develop LLM applications that rival enterprise solutions.
Who This Course Is For
- Developers looking to build real-world AI tools
- Aspiring data scientists and ML engineers
- Professionals seeking career transition into AI
- Entrepreneurs and product managers building AI solutions
Course Projects
- Project 1: AI-powered brochure generator that scrapes and analyzes websites
- Project 2: Multi-modal customer support agent with tools and UI
- Project 3: Audio-to-minutes generator using open and closed-source models
- Project 4: AI that translates Python to C++ with 60,000x performance gains
- Project 5: Knowledge-worker AI using RAG to master internal docs
- Project 6: Capstone A – Predict product prices using Frontier models
- Project 7: Capstone B – Fine-tune open-source models to rival Frontier
- Project 8: Capstone C – Multi-agent system to find and notify deals
Meet Your Instructor
Ed Donner
AI startup co-founder, Gen AI instructor, and former JPMorgan tech director
With over two decades of experience, Ed has led global engineering teams and launched successful AI startups. He holds patents in deep learning and is passionate about helping others master AI product development.
"Let’s build something amazing together."