Description
Mastering Generative AI & LLMs: An 8-Week Hands-On Course
Accelerate your career in Artificial Intelligence with this comprehensive, project-based program designed by industry expert Ed Donner. In just 8 weeks, you’ll master Generative AI, Large Language Models (LLMs), RAG systems, QLoRA fine-tuning, multi-modal applications, and real-world AI product deployment.
This course focuses entirely on practical, hands-on learning—helping you build advanced AI tools, explore cutting-edge models, and gain job-ready skills for modern AI engineering roles.
Requirements
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Familiarity with Python (course does not cover Python basics).
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A PC or laptop with internet connection (Mac/Linux or Windows).
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Optional: ~$5 for API usage with frontier models (fully optional—you can complete the course using open-source models).
Course Overview
Mastering Generative AI and LLMs: An 8-Week Hands-On Journey
Gain real-world AI engineering experience through 20+ leading models, advanced frameworks, and step-by-step projects that build your portfolio and elevate your skills to industry standards.
What You’ll Learn
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Build advanced Generative AI applications using the latest models and tools.
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Work with 20+ Frontier and Open-Source models.
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Master essential AI platforms: HuggingFace, LangChain, Gradio, and more.
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Implement powerful techniques like:
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RAG (Retrieval-Augmented Generation)
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QLoRA fine-tuning
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Agents and Toolcalling
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Create production-ready AI applications, including:
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Multi-modal customer support chatbot (text, audio, images)
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AI knowledge worker powered by RAG
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AI code optimizer converting Python to C++ with massive performance boosts
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Price prediction engine for unseen ecommerce products
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Learn both inference and training, including fine-tuning frontier and open-source models.
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Deploy full AI solutions with polished user interfaces.
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Become job-ready for high-demand roles in AI Engineering and LLM Development.
About the Instructor
Ed Donner, AI entrepreneur and technology leader with 20+ years of experience.
Founder of two AI startups (one acquired successfully).
Former tech leader in world-class financial institutions and global startups.
Dedicated to helping learners break into the AI industry with real, applicable skills.
Projects Included in the Course
Project 1: AI-Powered Brochure Generator
Scrape, analyze, and summarize company websites to auto-create formatted marketing brochures.
Project 2: Multi-Modal Airline Customer Support Agent
AI chatbot capable of handling text, audio, and image queries with tools/agents and a modern UI.
Project 3: Meeting Minutes Generator
Convert audio files into structured meeting summaries and actionable items using open-source and frontier models.
Project 4: AI Code Optimizer
Transform Python code into optimized C++—achieving up to 60,000x performance improvement.
Project 5: RAG-Powered AI Knowledge Worker
Build an AI assistant that can answer detailed questions based on a company’s shared drive.
Project 6–8: Capstone Projects
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Part A: Price prediction model using Frontier LLMs
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Part B: Open-source fine-tuned model competing with Frontier performance
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Part C: Autonomous agent system identifying deals and notifying users
Why Choose This Course?
✔ 100% Practical, Hands-On Learning
Build real-world AI products from Day 1.
✔ Learn Cutting-Edge Techniques
RAG, fine-tuning, embeddings, QLoRA, agents, multi-modal AI—covered in depth.
✔ Accessible for All Skill Levels
Clear instructions, cheat sheets, templates, and guided walkthroughs.
✔ No Advanced Math Required
No calculus, linear algebra, or complex theory—pure practical engineering.
✔ Designed for the Modern AI Job Market
Learn everything needed to become an AI Engineer, LLM Specialist, or AI Product Builder.
Course Structure (Week-by-Week Breakdown)
Week 1: Foundations & First AI Product
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Understand Transformer architecture and modern LLM fundamentals.
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Test six leading Frontier LLMs.
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Build your first Gen AI product: a website-scraping, decision-making brochure generator.
Week 2: Frontier APIs & Customer Service Chatbots
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Work with top Frontier APIs and models.
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Build a multi-modal customer support chatbot with:
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Text, image, and audio understanding
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Agent/toolcalling capabilities
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Clean, professional UI
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Week 3: Open-Source LLMs
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Explore Open-Source models through HuggingFace.
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Master 10 common AI tasks (translation, summarization, image generation, etc.).
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Build an AI system that generates meeting minutes from audio recordings.
Week 4: LLM Selection & Code Generation
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Learn how to compare and select the right LLM for specific business needs.
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Build a system that converts Python code to optimized C++ using AI.
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Achieve performance improvements of up to 60,000x.
Week 5: Retrieval-Augmented Generation (RAG)
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Understand embeddings, vector search, and RAG architecture.
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Implement vector storage using popular open-source vector databases.
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Build a full RAG business solution similar to enterprise AI tools.
Week 6: Transitioning From Inference to Training
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Move from using LLMs to training them.
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Fine-tune a Frontier model for a real-world task.
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Build your own specialized LLM—your first custom AI model.
Week 7: Advanced Training (QLoRA & More)
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Dive deep into QLoRA fine-tuning.
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Train open-source models to outperform Frontier models for targeted tasks.
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Solve advanced, real-world AI challenges.
Week 8: Deploying Your AI Product
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Deploy your commercial AI app with a polished interface.
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Integrate Agents for intelligent workflows and autonomy.
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Launch your first production-ready AI system.
Who This Course Is For
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Aspiring AI Engineers or Data Scientists stepping into Generative AI and LLMs.
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Developers who want real-world experience building advanced AI tools.
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Professionals seeking to upskill for modern AI-driven job roles.
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Anyone preparing for a career transition into AI.
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Entrepreneurs or innovators who want to build AI-powered products and solutions.
Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.






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