Demystifying Llms: Generative Ai, Rag & Prompts
Published 2/2026
Created by Justin Barnett
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 20 Lectures ( 1h 53m ) | Size: 547 MB
✓ How to use Dall-E, Midjourney, and Adobe Firefly to generate images
✓ How to use ChatGPT, Bard, Gemini, Bing, & Llama to write content and answer questions
✓ How to use GPT Builder to create your own GPTs
✓ Future-proofing your work using Generative AI
✓ Basics of Prompt Engineering and advanced prompting techniques
✓ Priming to get more specific AI responses
✓ High level understanding of GANs, Transformers, and Multimodal Models and how they power Generative AI
✓ Live demonstrations on how to use ChatGPT, Bard, and Claude to write itineraries, chat with PDFs, pair program, and mor
✓ How to Fine Tune a GPT 3.5 Turbo Model and use the OpenAI API for Text and Image Generation
✓ Ethical implications of AI
Requirements
● No programming experience needed! You'll learn everything you need to know
● A valid email to signup for an account
● Basic knowledge of how to use a computer
Description
Are you ready to move beyond the hype and truly understand the technology that is reshaping the global workforce?
Welcome to Master Generative AI, a comprehensive journey designed to take you from a curious beginner to a confident practitioner. Whether you are a creative professional, a developer, or a business leader, this course bridges the gap between high-level theory and practical, real-world application.
We don't just show you how to use the tools; we teach you how they work so you can leverage them better than anyone else.
Course Description
Generative AI is not just a trend; it is a fundamental shift in how we interact with information and creativity. But to master it, you need more than just a list of "cool prompts." You need to understand the architecture that powers these systems.
Section 1: The Foundation We start by cutting through the noise. You will gain a solid command of the terminology and acronyms that confuse most beginners. We explore the "Why" behind the AI boom and set you up for success by ensuring you understand the landscape before diving into the tools.
Section 2: The Visual Revolution (GANs & Video) Next, we dive into the world of AI imagery. You will learn to generate stunning visuals using industry leaders like Midjourney, ChatGPT, and Gemini. But we go deeper-we pop the hood to explore Generative Adversarial Networks (GANs), the technology that started the image revolution. You will also analyze real-world applications through a deep-dive case study on Coca-Cola, examining how major brands are already monetizing this tech.
Section 3: The Brains of AI (LLMs, Transformers & Prompt Engineering) This is the core of the curriculum. We demystify Large Language Models (LLMs) and the Transformer architecture that powers modern AI. You will move past basic chatting and learn the science of Prompt Engineering.
We cover advanced techniques including
• Zero-Shot and Few-Shot Prompting: How to get results with minimal context.
• Chain of Thought: Teaching the model to "think" before it answers.
• RAG (Retrieval Augmented Generation): Understanding how AI can access external data to provide accurate, up-to-date answers.
• Multimodality & Encoders: How models process text, images, and data simultaneously.
By the end of this course, you won't just be using AI; you will be evaluating models, writing powerful frameworks for prompts, and understanding the future of this technology.
What You Will Learn
• Deep Technical Understanding: Demystify complex concepts like Transformers, GANs, Encoders, and Multimodal models.
• Prompt Mastery: Move beyond basic inputs with a proven framework for writing powerful prompts, including Chain of Thought and Few-Shot techniques.
• Visual Generation: Create high-quality images and video using ChatGPT, Midjourney, and Gemini.
• Strategic Application: Analyze case studies (like Coca-Cola) to see how enterprises apply Generative AI.
• Future-Proof Skills: Learn about RAG (Retrieval Augmented Generation) and how to evaluate model performance critically.
Who this course is for
■ Entrepreneurs that want to make their work more efficient
■ Content Creators that want to increase their output
■ Digital Marketers, sales, customer services, and anyone that wants to save time and optimize their processes using AI
■ Software engineers that want to learn how to leverage Generative AI to write code and create AI applications
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