AI for Business: Generative AI, Prompting and Agents

ai for business | generative ai | chatgpt | claude | gemini | prompt engineering | ai agents | business ai use cases

Description

This course contains the use of artificial intelligence.

Most people who say AI is overrated tested it once, typed one sentence, got a mediocre answer, and stopped. That answer was a fair reflection of the sentence.

The gap between using it and using it well

I spent my first year with these tools writing one-line questions and getting one-line quality back. What changed everything was mundane: giving the model a role, giving it context, showing it two examples of what good output looks like, and telling it to check itself before answering. None of that is clever. It is just the difference between a tool that saves you ten minutes a week and one that removes a whole category of work from your calendar.

What this course actually covers

Six blocks, from the basics to agents running unattended. First, the foundation: what these models do, where they stop, and the everyday and work uses that pay back immediately. Second, the craft — the seven blocks of a working prompt, chain-of-thought and tree-of-thoughts for judgement tasks, and the shift from prompting to context engineering with projects, documents and memory. Third, twelve lessons of applied use cases across a whole function: drafting, search, positioning, onboarding material, assessment, reward, culture, documents, analytics and events. Fourth, a second assistant compared on the same work, including documents, spreadsheets, slides and connectors. Fifth, a third assistant inside a document ecosystem, plus writing an internal AI policy and measuring adoption. Sixth, six lessons where each one builds a working agent, ending with several agents orchestrated together and a business case in hours and money.

A note on the examples

Twenty-nine of the thirty-nine lessons use people-operations scenarios: job descriptions, screening, onboarding, assessment, reporting. That is deliberate — it is the function with the densest set of repeated text tasks, which makes it the clearest place to show what these models handle and what they do not. Prompt structure, context engineering, comparing assistants and agent architecture transfer to any function unchanged. The tool names will age faster than the methods; treat them as examples of a category.

Who is teaching this

I am Mike Pritula. I built the people system at Preply as it became a unicorn, and I have worked at Wargaming, iDeals and Alfa-Bank. More than 1.6 million students have enrolled in my courses across 185 countries, and over 150,000 specialists have gone through my programmes. I hold PHRi and SHRM-CP certifications and represent HRCI in more than ten countries.

What is included

• Lifetime access to all 39 lessons

• Active instructor support in the Q&A section

• A Udemy Certificate of Completion

• Working material: the seven-block prompt structure, four prompt frameworks, context and project setup, a cross-platform comparison, agent architecture

• Six agents built step by step, ending with a 90-day roadmap and a business case

Where to start

Take the last thing you asked an AI assistant and read your own question back. Was there a role, context, an example, a format and a constraint in it? If not, you have already found what this course changes. Enrol now and start today.

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