Applied Generative AI: Mastering Fundamentals to Expertise

About this course

Generative AI is no longer a single chatbot — it's an entire ecosystem of tools reshaping how text, images, audio, and video are created. This course gives you a complete, hands-on tour of that ecosystem: from the theory behind GANs, Transformers, and Variational Autoencoders, to practical mastery of the platforms professionals actually use today.

This course is for you if:

• You want to go beyond ChatGPT and understand the full landscape of Generative AI tools
• You work in design, marketing, content creation, or development and want to apply AI directly to your output

You want hands-on experience with image generation (MidJourney, DALL-E), voice and audio AI (ElevenLabs, AudioCraft, MusicLM), and video generation (Runway)You want to understand both the "how" (prompting, parameters, techniques) and the "why" (GANs, diffusion models, legal and copyright considerations)What you'll learn:

• The fundamentals of Generative AI: GANs, Transformers, Variational Autoencoders, and how they differ from traditional Machine Learning

Real-world use cases at Adobe, BMW, Salesforce, Snapchat, and DuolingoChatGPT and ChatGPT-4 in depth, including Prompt Engineering and Custom GPTs built with the OpenAI Playground

Professional image generation with MidJourney — from first steps to advanced parameters (aspect ratio, chaos, seeds, style) and blending techniquesDALL-E 2: prompt engineering for illustrations and photographs, editing, and restoration of old images

Emerging image tools: Foocus, Leonardo AI, and Adobe FireflyAudio generation and voice cloning with ElevenLabs, Murf_AI, PlayHT, and NaturalReaderAI music production with AudioCraft MusicGen and Google's MusicLMImage editing with generative AI: Playground, D-ID, MagicEraser, Lensa, and DragGanAn introduction to

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