Microsoft Word - Generative AI Masterclass_Version 1

[Audio] Course Descrip�on Unlock your crea�ve poten�al with Genera�ve AI! This course helps you understand, build, and apply genera�ve models across mul�ple domains—text, image, and code genera�on. Whether you're a developer, designer, or curiosity-driven learner, you'll gain hands-on experience with leading AI tools and frameworks. Create text, images, code, and videos using state-of-the-art genera�ve AI tools like ChatGPT, DALL·E, and Midjourney. By the end of the course, you'll be able to:  Master the core principles behind genera�ve models (GPT, diffusion, and GANs).  Apply tools like ChatGPT, DALL·E, Midjourney, and Stable Diffusion for real-world tasks.  Automate crea�ve workflows in text, design, and so�ware development.  Build your own mini-AI projects to showcase in a professional por�olio. Who This Course Is For  So�ware developers and data scien�sts interested in AI applica�ons.  Content creators, designers, and marketers exploring AI-driven crea�vity.  Students and professionals seeking a career in ar�ficial intelligence.  Anyone curious about how AI can generate human-like crea�vity..

[Audio] Course Content Overview Sec�on 1: Introduc�on to Genera�ve AI  What is Genera�ve AI?  History of machine crea�vity  Overview of text, image, and audio genera�on Sec�on 2: Understanding Genera�ve Models  Language models (GPT, Gemini, Claude, LLaMA)  Diffusion models & image synthesis  Genera�ve Adversarial Networks (GANs) fundamentals Sec�on 3: Prac�cal Tools for Genera�ve AI  Working with ChatGPT & OpenAI APIs  Exploring image genera�on using DALL·E and Midjourney  Code & music crea�on tools Sec�on 4: Building AI Projects  Text-based chatbot genera�on  AI-assisted content crea�on  Image-to-text crea�ve workflows  Automa�on scripts using Python Sec�on 5: Ethical and Responsible AI  Crea�ve ownership and copyright  Detec�ng AI-generated content  Responsible AI deployment.

[Audio] Sec�on 6: Capstone Project  Real-world Genera�ve AI project  Por�olio presenta�on and next steps Requirements:  Basic understanding of Python and cloud-based tools (recommended)  No prior AI knowledge required—everything explained from scratch.