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The full programme
In our tests, a structured prompt beat a naive one in 4 cases out of 5 on GigaChat, YandexGPT, Qwen and Gemini. The course teaches the techniques that give predictable results.
Open moduleFree
Your first prompt on a real task. Where AI makes mistakes. Choosing the right tool
You build your first real prompt on a real task – a status report in 5 minutes instead of an hour of manual work.
What you’ll keep: Your first working prompt – for a status report
2Does it work... or not?Spot hidden AI errors
5 manager tasks where AI produces a convincing result with a hidden error. Learn to spot these before they reach the CEO.
3Choosing the right toolWhich AI for which task
Framework: which tool for which task. Comparison table with pricing. Detailed reviews of each tool in the blog.
What you’ll keep: A table of which AI fits which task, and what it costs
4Self-assessmentGap map and starting point
Map your knowledge gaps: see what you already know and where your blind spots are. Personalized recommendation for where to start.
What you’ll keep: A map of your gaps and where to start
What you’ll learn – 5 skills
Generate work documents in 5 minutes instead of an hour
Anonymize data before sending it to AI – avoid leaking confidential information
Verify AI responses for fabricated facts and hidden errors
Recognize when AI amplifies your own biases
Choose a model by task and budget – don't overpay for an expensive model where a cheaper one suffices
FoundationAll tracks
Reliable results from the first prompt. AI output verification. Data security
4 chapters · ~3 weeks at your own pace
6 000 ₽35 000 ₸€65$75
Price at launch Join the waitlist Includes the Open module; part of every specialisation
1Prompt engineering for managersPrompt works on the first try
Prompt structure (role, context, format), persona and company context, prompt chains, few-shot examples. Every prompt delivers results without rework.
What you’ll keep: Your own prompt templates: role, context, format, examples
2Critical thinking and AI limitations60-second response verification
5-7 types of AI errors and how each one looks, bias in manager tasks (hiring, evaluation, prioritization), delegation matrix (Co-Pilot / Co-Thinker / don't use AI), and a 60-second verification method.
What you’ll keep: A matrix of what to give AI, what to check and what to keep away from it
3Ethics, security, and corporate policiesAI policy in your team within a week
Which data must never be sent to AI, hidden AI attacks (poisoned RAG, instructions in images, malicious MCP server), copyright for AI content, how to implement an AI policy in your team within a week.
What you’ll keep: AI rules for your team
4Human + AI: from tool to systemAI integrated into your workday
Two work modes (Co-Pilot and Co-Thinker), personal AI workspace (system prompt, prompt library, daily routines), time audit and the 30% rule. Result: AI built into your workday, not used occasionally.
What you’ll keep: An audit of your time and a personal AI workspace: system prompt, prompt library, routines
What you’ll learn – 7 skills
Structure a prompt so the result comes right the first time, without rework
Verify any AI response for errors and bias in 60 seconds
Know precisely which data must never go into a prompt
Recognize 3 scenarios of hidden attacks on AI assistants – and defend against them
Implement AI usage guidelines in your team within a week
Choose between two modes: Co-Pilot (AI executes) or Co-Thinker (AI challenges your thinking)
Measure real time savings with AI – distinguish 30%+ from illusion
Project Management
AI finds gaps in your plan. Compiles reports from Jira. Automates routine
3 chapters · ~4 weeks at your own pace
17 000 ₽110 000 ₸€200$220
Price at launch Join the waitlist Foundation is included in the price
1Planning and stress-testing~9 hours saved per project launch
Before launch, find 10 ways the project can fail – and close risks in advance. AI checks WBS for missed tasks, simulates tough stakeholder questions through co-thinking dialogue, and builds realistic timelines with buffers instead of 'optimistic 2 weeks'.
What you’ll keep: A project plan with risks closed early and realistic deadlines
2Weekly reporting system45 min instead of 3 hours per report
Friday report in 45 minutes instead of three hours. Pull data from the tracker yourself using SQL and AI – no waiting for an analyst. Pipeline: data -> analysis with trends -> visualizations -> three report versions for team, PMO, and CEO. Build once – use every Friday.
What you’ll keep: A reporting pipeline: data – analysis – three versions for the team, the PMO and the CEO
3Operational toolkit2-min standup briefing
Set up an AI agent on your laptop in 30 minutes – it pulls data from Jira and Slack (via MCP or local exports – per your policy). Morning briefing in 2 minutes, contract risk analysis and questions for the lawyer, backlog triage when the project is on fire. Bonus: write with AI so the text sounds like you, not like ChatGPT.
What you’ll keep: An agent on your laptop that pulls a morning briefing from Jira and Slack
What you’ll learn – 9 skills
Before project launch, identify 10 non-obvious risks and close them in advance (4h -> 45min)
Find missed tasks and hidden dependencies in WBS using AI (2.5h -> 50min)
Rehearse project defense through co-thinking dialogue with a skeptical stakeholder
Pull data from the project database yourself in 10 minutes – no waiting for an analyst
Compile Friday's report from raw tracker data in 15 minutes
Turn one report into 3 versions for different audiences – each driving a decision
Every morning, get a briefing from Jira + Slack + calendar in 2 minutes instead of 20
In 30 minutes, identify risky clauses in a contract and prepare questions for the lawyer
Write with AI so the text sounds like you, not like ChatGPT
Refunds for a paid module: until you start the paid lessons, we refund the full amount; after that, in proportion to what you haven’t studied yet. Refund terms