Why learn generative AI right now

Global demand for AI experts is growing at a rocket pace. As early as 2024, prestigious Indian technical institutes like the Amrita School of Engineering or the Manipal Institute of Technology began introducing specialized bachelor's programs in AI — from B.Tech in Computer Science with AI specialization to master's programs focused on natural language processing and robotics. And it's not just traditional universities. Platforms like DeepLearning.AI now offer over 120 courses, from complete basics to advanced fine-tuning techniques and agentic systems.

For the Czech reader, the situation is specific: while large companies like Avast, Kiwi.com, or Productboard already actively use AI tools, most small and medium-sized businesses are still looking for people to help them deploy generative AI. And that's exactly where a huge opportunity arises.

Best platforms for learning generative AI

DeepLearning.AI — the gold standard from Andrew Ng

When you say "AI course," most people think of Andrew Ng — co-founder of Google Brain, former chief scientist at Baidu, and one of the most influential AI teachers in the world. His platform DeepLearning.AI offers a total of 120 courses in 2026, of which 97 are short courses, 13 are standard courses, and 10 are professional certificates.

Among the most popular are:

• AI Prompting for Everyone — a 2026 newcomer that teaches the basics of prompt engineering for ChatGPT, Claude, and Gemini. The course is in English and is suitable even for complete beginners.
• Generative AI for Everyone — an overview course about what generative AI can do, its limitations, and how it impacts business. Ideal for managers and entrepreneurs.
• Agentic AI — a course focused on building autonomous AI agents capable of handling multi-step tasks without human intervention. Taught directly by Andrew Ng.
• Generative AI with Large Language Models — in collaboration with AWS, a deep dive into transformer architecture, training, and deployment of LLMs.

Most short courses on DeepLearning.AI are free or cost around 49 USD per month as part of a membership. Professional certificates typically cost 49–79 USD per month depending on length. Czech language is unfortunately not yet supported; all courses are in English — a basic knowledge of technical English is therefore a necessity.

Coursera and edX — university quality with a certificate

If you care about a formal certificate that Czech companies will recognize, go for Coursera or edX. Coursera offers specializations from Stanford, DeepLearning.AI, and the University of Michigan. The most well-known is the Machine Learning Specialization by Andrew Ng, which has been completed by millions of people since 2012.

Coursera prices start at 49 USD per month; a complete specialization costs around 150–300 USD (approx. 3,400–6,900 CZK). For Czech students, financial aid is available — Coursera offers financial aid that can get you up to a 90% discount.

Google AI and Microsoft Learn — free for everyone

Both Google and Microsoft offer quality learning materials completely free:

• Google AI Studio and Gemini API courses on Google Cloud Skills Boost — practical tutorials for working with Gemini models, including multimodal prompting.
• Microsoft Learn — an AI learning path focused on Azure AI services, Copilot, and agentic workflows. Content is partially available in Czech as well, which is a significant advantage for the local audience.

What you'll actually learn in the courses

Modern generative AI courses cover a wide spectrum of skills — from purely user-oriented to deeply technical. Here's an overview of the main areas by level of proficiency:

For beginners: Prompt engineering and practical usage

• Basics of prompt engineering for ChatGPT, Claude, and Gemini
• Content creation — text, images, simple code
• Practical AI tools for everyday work (emails, presentations, data analysis)

For intermediate learners: Building AI applications

• Retrieval-Augmented Generation (RAG) — connecting LLMs to your own data
• Fine-tuning models for specific tasks
• Vector databases and semantic search
• Building chatbots and AI assistants

For advanced learners: Agentic systems and production deployment

• Multi-agent architectures with frameworks like LangGraph, CrewAI
• Agentic AI — autonomous agents that plan and execute complex tasks
• Security, observability, and governance of AI agents in production
• The MCP (Model Context Protocol) from Anthropic

The Czech footprint: What's happening locally

In Czechia, you won't yet find a specialized platform comparable to DeepLearning.AI, but the situation is changing rapidly. In May 2026, the Czech AI Factory in Ostrava launched — a new European AI hub with ambitions to become an education and research center for the entire region. The project includes educational programs for businesses and students.

At the same time, the offering of Czech workshops and training is growing. Companies like Ecomail are already connecting their tools with Claude and ChatGPT and training employees in prompt engineering. The Czech National Bank (ČNB) launched its own AI center built on Nvidia chips and is recruiting specialists with LLM knowledge. For Czech AI enthusiasts, a concrete career path is emerging — even without the need to move abroad.

Comparison: How much does it cost to learn generative AI

How to choose the right course

Choosing a course depends on three things: your current level, your goal, and your budget. If you're new to AI and mainly want to make your work more efficient, start with the free course AI Prompting for Everyone from DeepLearning.AI. In two hours, you'll learn the basics of prompting and can immediately start using ChatGPT or Claude more productively.

If you're a developer who wants to build AI applications, we recommend this path: Generative AI with LLMs (AWS/DeepLearning.AI) → Agentic AI (Andrew Ng) → MCP: Build Rich-Context AI Apps (Anthropic). This combination will get you to a level where you can build a functioning AI agent connected to company data in roughly 4–6 weeks.

For managers and product owners, Generative AI for Everyone is the ideal choice — a course that explains in 6 hours what AI can and cannot do and how to meaningfully deploy it in a company.

What to watch out for

The AI course market is booming, and not every course is worth your money. Avoid offers that promise "secret prompt tricks" or "guaranteed earnings with AI." Serious courses teach principles that will remain valid even after the next model update — not specific phrases that will stop working in a month.

A hands-on approach is also important. The best courses, like those from DeepLearning.AI or Google, include hands-on exercises where you try everything out right away. Just watching videos won't teach you AI.

For Czech students, it's also crucial that most quality courses require at least basic knowledge of English. If you struggle with English, start with materials on Microsoft Learn, where you'll find content partially localized into Czech.