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 Amrita School of Engineering and Manipal Institute of Technology began introducing specialized undergraduate 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 about 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 are already actively using 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 someone says "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 that can handle 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 priced around 49 USD per month with a membership subscription. Professional certificates typically cost 49–79 USD per month depending on length. Czech is unfortunately not yet supported, all courses are in English — so basic knowledge of technical English is a must.

Coursera and edX — university quality with a certificate

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

Prices on Coursera start at 49 USD per month, with a complete specialization costing 150–300 USD (approx. 3,400–6,900 CZK). For Czech students, there is an option for financial assistance — Coursera offers financial aid, through which you can get 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. The 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 proficiency level:

For beginners: Prompt engineering and practical use

• Basics of prompt engineering for ChatGPT, Claude, and Gemini
• Content creation — texts, 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 at home

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 hub of European artificial intelligence that aims to become an educational and research center for the entire region. The project also 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. ČNB (Czech National Bank) has 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 thus emerging — even without the need to move abroad.

Comparison: How much it costs 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 starting with AI and mainly want to streamline your work, begin with the free AI Prompting for Everyone course 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 working AI agent connected to company data in about 4–6 weeks.

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