Clone voice & build avatars
Create custom avatars and audio/video with tools like ElevenLabs and HeyGen.
What you'll build
The concrete outcomes, not vague promises.
Retrieve real knowledge
Build a basic RAG assistant so generative output is grounded in your own documents.
Generate images & video
Use diffusion models to create marketing creatives, visuals and AI video for real use cases.
Understand how LLMs work
Models, prompting, context and retrieval — enough to use generative AI deliberately, not by luck.
- An AI-generated video for a real use case
- A custom avatar and cloned voice spokesperson
- A set of AI-generated marketing creatives and visuals
- A generative AI project combining text, image and media
- An AI assistant grounded in your own knowledge (basic RAG)
Who it's for
Generative AI you can actually ship
Generative AI is the umbrella over most of today's AI excitement — chatbots, AI images, AI video, voice cloning and knowledge assistants. This course gives you a working grasp of how it functions and, more importantly, how to produce real output with it: grounded assistants, marketing media, and AI video and avatars you can use.
It suits creators, marketers, founders and professionals who want to build with generative AI rather than just read about it. ONROL is project-first, so you finish with real generative projects across text and media in a portfolio you keep.
Why it sticks
Proof beats theory, every time.
Skills you only hear about fade in a week. Skills you build stay. At ONROL you spend the time making real AI systems that run, so your evidence of ability is the work itself — a portfolio an employer or client can actually open.
Recommended programs
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The advanced track — AI architecture, agents, RAG and production-grade systems.
Explore program →AI Career Accelerator
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Explore program →AI Generalist
The 3-month flagship — build 5+ real AI systems and a portfolio, no coding required.
Explore program →Questions
Answers, plainly.
Do I need coding for generative AI?
No. The course uses no-code and AI-assisted tools throughout, so creators, marketers and professionals can build generative projects without traditional programming.
What will I have to show?
Real generative projects — a grounded AI assistant, AI-made creatives and video, and a custom avatar — kept in a portfolio you can use for work, content or freelance.
How is this different from a prompt engineering course?
Prompt engineering focuses on getting reliable results from LLMs; this generative AI course is broader, adding image, audio and video generation and basic retrieval, so you create across all media.
What does a generative AI course cover?
Both sides of generative AI: text (LLMs, prompting, basic RAG) and media (image, audio and video generation with diffusion models, plus avatars and voice cloning). You build real projects across both.
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