This course contains the use of artificial intelligence.

Your team is already using AI. You just have not decided how, which means they each decided separately, and nobody told you what they pasted into a chat window last week.

That is the actual state of most organisations right now. Not resistance. Unmanaged adoption.

The gap this course closes

Most managers use AI as a faster search engine and stop there. They type a question, get a mediocre answer, conclude the technology is overrated, and go back to doing the work manually. Meanwhile the seven-block prompt, the loaded project, the multi-step agent and the connector into their calendar all exist and take an afternoon to set up.

The gap is not enthusiasm. It is that nobody taught the difference between asking a model something and configuring one.

From prompting to context to agents

Thirty-eight lessons. Six on the foundations: what these models can and cannot do, where they fabricate, and the daily uses that actually save time rather than feeling clever.

Then four dense lessons on engineering. The seven-block prompt architecture, four frameworks and when each applies. Chain-of-Thought, Self-Consistency, Tree-of-Thoughts and ReAct for decisions with several criteria. Then context engineering — Projects, custom instructions, RAG on your own documents, and memory across sessions. Then real agents: prompt chains, MCP and tool use, n8n as a no-code builder, and the governance question of where a human has to stay in the loop.

Function by function, then the rollout

Then twelve lessons walking through where AI is already embedded across an organisation: hiring and sourcing, onboarding, performance systems, brand and marketing, training, talent movement, reward design, culture, predictive analytics without Python, and process design with financial justification attached.

Then six on a single platform end to end, from interface and data security through to Skills, connectors, spreadsheets and generated presentations. And ten on implementation: rolling out an AI project, managing the resistance that follows, security and ethics, robots in physical workspaces, the policies that coexistence requires, and a readiness checklist for every process you own.

A note on the examples. Much of the practical material runs on people-management cases, since that is the function I have run. The methods — prompt architecture, context engineering, agent design, rollout planning, governance — apply identically to finance, operations, marketing or support.

Who is teaching this

Mike, the number one HR instructor on Udemy. More than 1.6 million course enrolments, over 150,000 professionals trained, PHRi and SHRM-CP certified, HRCI representative in more than 10 countries. I built the people function of the unicorn Preply and worked at Wargaming, Alfa-Bank and iDeals.

What is included

• Lifetime access to all course materials

• Active instructor support in the Q&A section

• Udemy Certificate of Completion

• Practical assignments and real business cases

• A section with additional courses, tools and resources

Do this today

Ask three people on your team what they used AI for this week. The answers will be more varied than you expect, and at least one will worry you. That conversation is the beginning of managing this rather than discovering it later. Enrol now and start the first lesson today.