AI Courses
Professional courses on artificial intelligence — language models, image, video and voice generation.
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Language LLM AI Models: The Google Gemini Family
This course is a self-contained, structured introduction to the modern family of Google Gemini language and multimodal AI models. It is written for learners who already use computers and the internet comfortably but who are not necessarily machine-learning specialists. No advanced mathematics is required. Where technical terms appear, they are explained in plain language the first time they are used and summarised again in the glossary at the end.
Kimi and Mistral Language Models
This course introduces five large language models from Moonshot AI and Mistral AI, covering their architectures, multimodal capabilities, and mixture-of-experts design. You will learn how to evaluate, compare, and choose between these systems for real-world tasks, including understanding the economics and licensing of model deployment.
DeepSeek and Qwen Language Models
This course explains, from first principles, how modern language-based artificial-intelligence models work, and then examines four of the most important models of the 2025–2026 era in depth: DeepSeek R1, DeepSeek V4, Alibaba Qwen 3.5, and the Qwen Max line. It is written for learners who want a clear, technically accurate, and well-organised introduction. No prior machine-learning knowledge is assumed, although a willingness to think carefully about new concepts is expected.
OpenAI Language Models Explained
This course is a complete introduction to modern large language models (LLMs), with a particular focus on the family of models built by OpenAI. It is written for readers who want a serious, well-organised understanding of what these systems are, how they work, what distinguishes one model from another, and how to choose and use them responsibly.
Codestral and Llama 4 Models
This course covers three modern large language models — Mistral AI's Codestral, Meta's Llama 4 Scout, and Meta's Llama 4 Maverick — explaining their mixture-of-experts architecture, deployment options, and practical use cases. You will learn to fine-tune these models, assess hardware requirements, and make informed decisions about open-weight deployment.
Anthropic Claude Model Family
This course is a complete, self-contained introduction to large language models (LLMs) — the family of artificial intelligence systems that read, understand, and generate human language. It is written for learners who want a rigorous but readable path from first principles to the state of the art, with a particular focus on the Anthropic Claude family of models: Claude Opus 4.8, Claude Sonnet 4 (and its successors in the Sonnet line), Claude Haiku, and the frontier preview model Claude Mythos.
The Grok Model Family
This course is a structured, self‑contained introduction to the world of large language models (LLMs) — the family of artificial intelligence systems that understand and generate human language. It is written for readers who want to understand both the general principles behind modern language models and the specific characteristics of four important systems that were prominent in 2025 and 2026: Microsoft MAI‑Thinking‑1, Microsoft MAI‑Code‑1 (released as MAI‑Code‑1‑Flash), xAI Grok 4, and Grok Expert (the Expert Mode of the Grok assistant).