AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents

<div>Mastering Generative AI and LLMs: An 8-Week Hands-On Journey</div><div><br></div><div><span style="font-size: 1rem;">Accelerate your career in AI with practical, real-world projects led by industry veteran Ed Donner. Build advanced Generative AI products, experiment with over 20 groundbreaking models, and master state-of-the-art techniques like RAG, QLoRA, and Agents.</span></div><div><br></div><div><span style="font-size: 1rem;">What you’ll learn</span></div><div><ul><li><span style="font-size: 1rem;">Build advanced Generative AI products using cutting-edge models and frameworks.</span></li><li><span style="font-size: 1rem;">Experiment with over 20 groundbreaking AI models, including Frontier and Open-Source models.</span></li><li><span style="font-size: 1rem;">Develop proficiency with platforms like HuggingFace, LangChain, and Gradio.</span></li><li><span style="font-size: 1rem;">Implement state-of-the-art techniques such as RAG (Retrieval-Augmented Generation), QLoRA fine-tuning, and Agents.</span></li><li><span style="font-size: 1rem;">Create real-world AI applications, including:</span></li><li><span style="font-size: 1rem;">A multi-modal customer support assistant that interacts with text, sound, and images.</span></li><li><span style="font-size: 1rem;">An AI knowledge worker that can answer any question about a company based on its shared drive.</span></li><li><span style="font-size: 1rem;">An AI programmer that optimizes software, achieving performance improvements of over 60,000 times.</span></li><li><span style="font-size: 1rem;">An ecommerce application that accurately predicts prices of unseen products.</span></li><li><span style="font-size: 1rem;">Transition from inference to training, fine-tuning both Frontier and Open-Source models.</span></li><li><span style="font-size: 1rem;">Deploy AI products to production with polished user interfaces and advanced capabilities.</span></li><li><span style="font-size: 1rem;">Level up your AI and LLM engineering skills to be at the forefront of the industry.</span></li></ul></div><div><span style="font-size: 1rem;"><br></span></div><div><span style="font-size: 1rem;">About the Instructor</span></div><div><br></div><div>I’m Ed Donner, an entrepreneur and leader in AI and technology with over 20 years of experience. I’ve co-founded and sold my own AI startup, started a second one, and led teams in top-tier financial institutions and startups around the world. I’m passionate about bringing others into this exciting field and helping them become experts at the forefront of the industry.</div><div><br></div><div><span style="font-size: 1rem;">Projects:</span></div><div><ul><li><span style="font-size: 1rem;">Project 1: AI-powered brochure generator that scrapes and navigates company websites intelligently.</span></li><li><span style="font-size: 1rem;">Project 2: Multi-modal customer support agent for an airline with UI and function-calling.</span></li><li><span style="font-size: 1rem;">Project 3: Tool that creates meeting minutes and action items from audio using both open- and closed-source models.</span></li><li><span style="font-size: 1rem;">Project 4: AI that converts Python code to optimized C++, boosting performance by 60,000x!</span></li><li><span style="font-size: 1rem;">Project 5: AI knowledge-worker using RAG to become an expert on all company-related matters.</span></li><li><span style="font-size: 1rem;">Project 6: Capstone Part A – Predict product prices from short descriptions using Frontier models.</span></li><li><span style="font-size: 1rem;">Project 7: Capstone Part B – Fine-tuned open-source model to compete with Frontier in price prediction.</span></li><li><span style="font-size: 1rem;">Project 8: Capstone Part C – Autonomous agent system collaborating with models to spot deals and notify you of special bargains.</span></li></ul></div><div><br></div><div>Why This Course?</div><div><ul><li><span style="font-size: 1rem;">Hands-On Learning: The best way to learn is by doing. You’ll engage in practical exercises, building real-world AI applications that deliver stunning results.</span></li><li><span style="font-size: 1rem;">Cutting-Edge Techniques: Stay ahead of the curve by learning the latest frameworks and techniques, including RAG, QLoRA, and Agents.</span></li><li><span style="font-size: 1rem;">Accessible Content: Designed for learners at all levels. Step-by-step instructions, practical exercises, cheat sheets, and plenty of resources are provided.</span></li><li><span style="font-size: 1rem;">No Advanced Math Required: The course focuses on practical application. No calculus or linear algebra is needed to master LLM engineering.</span></li></ul></div><div><br></div><div>Course Structure</div><div><span style="font-size: 1rem;">Week 1: Foundations and First Projects</span></div><div><ul><li><span style="font-size: 1rem;">Dive into the fundamentals of Transformers.</span></li><li><span style="font-size: 1rem;">Experiment with six leading Frontier Models.</span></li><li><span style="font-size: 1rem;">Build your first business Gen AI product that scrapes the web, makes decisions, and creates formatted sales brochures.</span></li></ul></div><div><span style="font-size: 1rem;">Week 2: Frontier APIs and Customer Service Chatbots</span></div><div><ul><li><span style="font-size: 1rem;">Explore Frontier APIs and interact with three leading models.</span></li><li><span style="font-size: 1rem;">Develop a customer service chatbot with a sharp UI that can interact with text, images, audio, and utilize tools or agents.</span></li></ul></div><div><span style="font-size: 1rem;">Week 3: Embracing Open-Source Models</span></div><div><ul><li><span style="font-size: 1rem;">Discover the world of Open-Source models using HuggingFace.</span></li><li><span style="font-size: 1rem;">Tackle 10 common Gen AI use cases, from translation to image generation.</span></li><li><span style="font-size: 1rem;">Build a product to generate meeting minutes and action items from recordings.</span></li></ul></div><div><span style="font-size: 1rem;">Week 4: LLM Selection and Code Generation</span></div><div><ul><li><span style="font-size: 1rem;">Understand the differences between LLMs and how to select the best one for your business tasks.</span></li><li><span style="font-size: 1rem;">Use LLMs to generate code and build a product that translates code from Python to C++, achieving performance improvements of over 60,000 times.</span></li></ul></div><div><span style="font-size: 1rem;">Week 5: Retrieval-Augmented Generation (RAG)</span></div><div><ul><li><span style="font-size: 1rem;">Master RAG to improve the accuracy of your solutions.</span></li><li><span style="font-size: 1rem;">Become proficient with vector embeddings and explore vectors in popular open-source vector datastores.</span></li><li><span style="font-size: 1rem;">Build a full business solution similar to real products on the market today.</span></li></ul></div><div><br></div><div><span style="font-size: 1rem;">Week 6: Transitioning to Training</span></div><div><ul><li><span style="font-size: 1rem;">Move from inference to training.</span></li><li><span style="font-size: 1rem;">Fine-tune a Frontier model to solve a real business problem.</span></li><li><span style="font-size: 1rem;">Build your own specialized model, marking a significant milestone in your AI journey.</span></li></ul></div><div><br></div><div>Week 7: Advanced Training Techniques</div><div><ul><li><span style="font-size: 1rem;">Dive into advanced training techniques like QLoRA fine-tuning.</span></li><li><span style="font-size: 1rem;">Train an open-source model to outperform Frontier models for specific tasks.</span></li><li><span style="font-size: 1rem;">Tackle challenging projects that push your skills to the next level.</span></li></ul></div><div><br></div><div><span style="font-size: 1rem;">Week 8: Deployment and Finalization</span></div><div><ul><li><span style="font-size: 1rem;">Deploy your commercial product to production with a polished UI.</span></li><li><span style="font-size: 1rem;">Enhance capabilities using Agents.</span></li><li><span style="font-size: 1rem;">Deliver your first productionized, agentized, fine-tuned LLM model.</span></li><li><span style="font-size: 1rem;">Celebrate your mastery of AI and LLM engineering, ready for a new phase in your career.</span></li></ul></div>

What you'll learn:

• Project 1: Make AI-powered brochure generator that scrapes and navigates company websites intelligently.
• Project 2: Build Multi-modal customer support agent for an airline with UI and function-calling.
• Project 3: Develop Tool that creates meeting minutes and action items from audio using both open- and closed-source models.
• Project 4: Make AI that converts Python code to optimized C++, boosting performance by 60,000x!
• Project 5: Build AI knowledge-worker using RAG to become an expert on all company-related matters.
• Project 6: Capstone Part A – Predict product prices from short descriptions using Frontier models.
• Project 7: Capstone Part B – Execute Fine-tuned open-source model to compete with Frontier in price prediction.
• Project 8: Capstone Part C – Build Autonomous multi agent system collaborating with models to spot deals and notify you of special bargains.
• Compare and contrast the latest techniques for improving the performance of your LLM solution, such as RAG, fine-tuning and agentic workflows
• Weigh up the leading 10 frontier and 10 open-source LLMs, and be able to select the best choice for a given task