AI-Ready Manager: Decide How Your Team Uses AI, 450+ Tools 2 hours ago Business

[100% OFF] AI-Ready Manager: Decide How Your Team Uses AI, 450+ Tools

Your team already uses AI, each in their own way? AI for managers: prompts, context, agents, Claude, rollout

5 2,924 students 20.5h total length
English
$0 $19.99 100% OFF

Course Description

This course contains the use of artificial intelligence.

Your team is already using AI. You just have not decided how, which means each person decided separately, with different tools, rules and results. Here are 452 tools to decide together: 325 ready-to-use AI prompts, procedures and templates, 81 services shown on screen, 31 models and methods and 15 working files.

Open a lecture, take the prompt, and agree on one AI practice with your team.

Why AI use stays random

Some people use AI for everything, some refuse, and nobody knows what data goes where. Prompts are improvised, results are not checked, and the manager cannot tell which work AI did and whether it was right.

What changes after this course

You know what AI can and cannot do, have prompts and agents for the team's real work, set rules for data and checking, and roll AI out with clear roles between people and machines.

What is inside: 452 tools, counted lecture by lecture

You do not have to take this number on trust. Open any lecture and read its description: every tool inside is listed there by name.

  • 53 downloadable resources: lecture presentations plus 15 working files, including an AI integration roadmap, an advanced HR prompt library and a human and machine role split
  • 325 ready-to-use tools inside the presentations:
  • 212 ready AI prompts: automation business case argument, project goal decomposition, meeting summary, conflict situation analysis
  • 37 step-by-step procedures: production prompt construction, corporate HR AI assistant setup, AI workflow design, 90-day AI integration roadmap
  • 31 templates and sample documents: context-task-response-format prompts, personal AI stack canvas, employee performance review form, AI integration roadmap
  • 17 question lists and scripts: AI automation suitability, performance one-on-one meetings, adaptability competency interviews, employee adaptation to robots
  • 12 scorecards, rubrics and matrices: AI risk and reversibility, AI platform selection, HR prompting technique selection, AI implementation responsibilities
  • 9 checklists: HR assistant knowledge inventory, chat context reset, AI recruiting ethics, AI data security and ethics
  • 6 metric sets and 1 other working tool
  • 31 models and methods explained with examples: few-shot prompting, retrieval-augmented generation, human-in-the-loop oversight, impact-effort matrix
  • 81 services shown on screen, including ChatGPT, Claude, Sloneek, Deel Engage and Engagedly

Where the tools are

AI fundamentals (4 sections, 181 tools). Capabilities, creative and analytical use, prompt architecture, context and agents.

AI across the lifecycle (4 sections, 113 tools). Where AI is used, onboarding, learning, talent, reward and culture.

Claude for managers (2 sections, 117 tools). Setup, security, performance, reporting and planning.

Decisions and implementation (4 sections, 93 tools). Assistants, robots, decisions, recruiting, rollout and the future of the manager.

Who is teaching

I am Mike, the #1 HR instructor on Udemy, with 1,800,000+ course enrollments from 170,000 students, and the author of about 200 books on Amazon. I built the people system at Preply as it became a unicorn and worked at Wargaming, iDeals and Alfa-Bank across 20 years in HR. I hold PHRi, SHRM-CP and HCI sHRBP certifications and represent HRCI in Eastern Europe.

Tokens are Claude's internal currency: you see them in the usage section, and there is a limit every five hours. With the $20 subscription I once used up the limit quickly and had to wait, which is how I learned to plan AI work like any other resource and why I later moved to higher plans.

How to use the course

Start with the AI fundamentals, then set up Claude or another assistant for your team and use the implementation section. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.

What is included

  • 40 lectures across 15 sections, 20.5 hours
  • 53 downloadable resources: lecture presentations and 15 working files
  • 452 tools across the lessons, including 81 services shown on screen
  • Lifetime access to all materials
  • Active instructor support in the Q&A section
  • A Udemy Certificate of Completion

Where to start

Ask each team member which AI tool they use and for what, then open the first section. Enrol now and start your first lesson today.

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