

Price
No active coupon right now
View Course →No coupon right now. We'll tell you when there is one.
Mark your own learning status. Opening a course link does not establish enrollment.
Loading saved status…
The course is organised around seven categories of generative AI tools, from conversational assistants to small local models. The goal is to give you a way to evaluate any tool, including ones released after the course was written.
Professionals, managers and students who want to choose tools deliberately rather than try everything will get the most from it. Because the course is set in 2026, the category list reflects the current market, while the evaluation method applies whatever product comes next.
Expect the course to be about judgement more than any single product, which is the part most likely to stay useful as tool names change.
Generative AI has moved from novelty to daily tool, and the professionals who get real value from it are the ones who understand how it works, know which tool to use for which task, and can write prompts that get results. This course gives you all three, with no coding, no math, and no jargon left unexplained.
You will start with the fundamentals: what Generative AI is, how Large Language Models generate an answer, and the limitations you must know, from hallucinations to bias and knowledge cutoffs. Then you will explore real applications for productivity, creativity, and business tasks, with ready-to-use prompts you can try the same day.
The heart of the course is a full map of the 2026 GenAI tool landscape, organized in seven categories so you can evaluate any tool, including ones that do not exist yet:
Conversational AI: ChatGPT, Claude, and Gemini, and when to choose each
Research and knowledge: Perplexity and NotebookLM
Voice and audio: ElevenLabs, Audio Overviews, Suno
Image and video: Midjourney, Adobe Firefly, Google Veo, Runway, HeyGen, Synthesia
Code and app building: Claude Code, Cursor, GitHub Copilot, and vibe coding with Lovable and Google AI Studio
Small Language Models for privacy and data sovereignty: Llama, Gemma, Qwen, Phi, Mistral
Integrated workplace AI: Copilot and Gemini inside the tools you already use
You will then master prompting with a simple five-element framework (role, context, task, format, tone), learn to iterate on results, and see good and poor prompts side by side. The course closes with risks and responsible use, including privacy and when not to use AI, plus real business case studies and a library of prompts for common tasks.
By the end, you will be able to:
Explain how Generative AI works and where it fails
Build a personal toolkit of two to four AI tools matched to your work
Write structured prompts that produce usable results on the first or second try
Apply GenAI to emails, summaries, presentations, content, and data analysis
Decide when cloud AI, a local model, or human judgment is the right call
Use AI responsibly, protecting sensitive data and verifying outputs
Designed for professionals, managers, students, and anyone who wants to use AI with confidence. No technical background required.
Advertisement
Tracking since 15 Nov — not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.
No Korshub reviews yet.