Gain a comprehensive understanding of modern AI models in just a few hours without wading through complex mathematics or months of preparation. This course is specifically tailored for professionals who seek a technical grasp of AI without needing programming skills.
Why This Course Stands Out
AI is pivotal to your career, products, and business strategy, but diving into the complexities of transformers, model architecture, and machine learning can be daunting and time-consuming. This course simplifies the process by:
- Eliminating extensive theoretical content,
- Offering an intuitive and visual understanding of AI,
- Completing the learning journey in just a few hours, without requiring a specialized educational background.
This unique course delivers a deep technical insight into LLM via a real-world GPT-2 implementation using spreadsheets.
Who This Course Is For
This course is perfectly suited for STEM professionals such as:
- Software and Web Developers
- Engineers and Scientists
- Product and Project Managers
- Technical Sales and Marketing Specialists
- Leaders and Directors involved in AI strategy
No prior experience in machine learning is needed—only a technical background is required.
What You Will Master
Through a spreadsheet-based implementation of GPT-2, you will:
- Quickly grasp how large language models function
- Decompose critical components: tokenization, embeddings, attention, transformer layers
- Achieve a genuine AI literacy, useful for managing products and teams
- Establish a foundation for further learning and AI projects
Why Spreadsheets?
No programming or advanced mathematics knowledge is necessary. The course adopts a no-code approach through spreadsheets, making complex concepts:
- Visual,
- Interactive,
- And easily memorable.
This is an engaging course where you will explore the model from the inside, step by step.
Practical Outcome
Upon completing the course, you will have a clear understanding of how transformers enable models like ChatGPT, Claude, and Llama, along with a handy tool in spreadsheet form for your own experimentation.
