The programme
Foundation, Practitioner and Builder: hands-on lessons, an AI Tools Lab, mentor-reviewed projects and a verifiable certificate at every level.
Why AI skills, why now
Make sure that someone is you. That’s what this training is for.
AI won’t replace humans — but humans with AI will replace humans without AI.
AI won’t take your job. It’s somebody using AI that will take your job.
You’re not going to lose your job to an AI, but you’re going to lose your job to somebody who uses AI.
Quotes are shown with their original sources. The people quoted are not affiliated with RDMI and do not endorse this programme.
The programme
A job-focused path from your first prompt to shipping with AI agents. Each level ends with portfolio projects, mentor review and an RDMI Certificate of Completion you can add to your CV and LinkedIn.
Context engineering, verification, safe use and everyday AI productivity.
ChatGPT, Gemini, Copilot and Claude at work, plus automations with human approval.
Build with AI agents: Claude Code, Codex, MCP connectors and shipped apps.
Walkthroughs and practice clinics with the RDMI team.
Written feedback on every project you submit.
A public verification code for each level you finish.
Every lesson, prompt and checklist in both languages.
See the full 12-module syllabus
Lessons are open now. Certificates, mentor review and live-session links use a free account — account sign-in is being activated.
Full syllabus
Built for how AI is used now: context engineering, AI assistants, source checks, workflow planning, agents with MCP connectors and coding agents like Claude Code and Codex. Each module leads to a written output, checked draft or project plan. Optional live builds take additional practice.
Context engineering, verification, safe use and everyday AI productivity.
Chat assistants, reasoning models and agents — what each can do today and where each still fails.
Go beyond prompts: give AI the sources, examples, constraints and format it needs to get it right first time.
Catch invented facts, wrong numbers and weak sources before anything goes out.
Protect data, resist manipulation and know when a person must decide.
Build Excel analyses, presentation decks, emails and reports with AI — the output employers see every day.
ChatGPT, Gemini, Copilot and Claude at work, plus automations with human approval.
Hands-on with ChatGPT, Gemini, Microsoft Copilot and Claude — and when to use which.
Compare supplied options, check assumptions and write a decision brief using a fictional task.
Design workflows that run on their own — with clear approval points and safe exceptions.
Build with AI agents: Claude Code, Codex, MCP connectors and shipped apps.
Connect agents to email, sheets and files through connectors (MCP) — with least access and approvals.
Brief coding agents like a lead engineer — then review what they change before it ships.
Write a specification, build a working app and verify its behaviour before sharing a preview.
Build a role-specific project and explain its real outputs, tests and limits for mentor review.
Every module includes at least one published, hands-on lesson. Certificates cover the lessons published in each level.
AI Tools Lab
One practical lesson for each assistant, built around real work: a draft, a summary, an email and a decision. Same habit every time — check the answer before you trust it.
Open the Tools LabRDMI is independent and not affiliated with OpenAI, Google, Microsoft or Anthropic. Practical labs require tools; each has its own plans, limits and age requirements.
FROM KNOWING TO DOING
Build the file, run the workflow, test the app. Every lab includes a practical brief, starter materials and evidence requirements.
An XLSX or shared sheet with formulas, a monthly summary and a chart.
Open labA five-slide PPTX or PDF with checked numbers and speaker notes.
Open labA cited decision brief and a five-question verification log.
Open labThree consistent visuals and a captioned 15-second video.
Open labAn exported workflow, run evidence and a failure log.
Open labA reusable assistant with sources and a six-case test report.
Open labA working stationery-request app, source files and test evidence.
Open labA role-specific deliverable, demo and evidence-backed case study.
Open labStarter files use fictional data. Use a laptop or desktop for tool labs. External tools have their own account and usage limits. Mentor approval requires actual deliverables and tests; an evidence link alone does not establish quality.
No mystery syllabus
29 bilingual lessons across 6 starter paths. Every lesson follows the same practical rhythm.
Learn to give clear instructions, check answers, and protect private information.
Create a checked invitation and a privacy-safe customer update.
Turn notes and simple tables into useful work while checking ownership, numbers, and gaps.
Build a sales workbook, chart and finished presentation.
Practise with ChatGPT, Gemini, Microsoft Copilot and Claude: refine drafts, summarise updates, write follow-up emails and compare options — then check every answer.
Create a cited research brief, consistent visuals and a captioned video.
Map useful workflows, set decision boundaries, and design human review before any action.
Build a tested support automation with approvals and a failure log.
Work with Claude Code, Codex and tool-connected agents: write specs they can deliver, review their changes and connect tools safely with MCP.
Build a source-grounded assistant and record six test cases.
Write a clear app brief and test AI-generated outputs before treating a prototype as ready.
Build a working app and a role-specific project with test evidence.
1100 minutes of suggested starter practice. Take the time you need; projects and extra practice take longer. Eight practical labs add actual files, working automations and a tested app. Build in your chosen tools, then submit evidence for mentor review.
Your certificate
Each level ends with an RDMI Certificate of Completion: your name, the level, the paths you finished and a unique code anyone can check online.
Issued by RDMI Tech Ventures. Not an accredited qualification or a job guarantee.
Certificate of Completion
This is to certify that
has successfully completed Level 1 · Foundation of the RDMI AI Workforce programme, including every lesson and a mentor-approved project in:
AI Foundations · AI for Everyday Work
Programme brochure
Levels, the full 12-module syllabus, tools you’ll master, what you’ll build and the certificate — ready to send to a student, parent, manager or college.
PDF · 12 pagesThe next chapter starts with one useful task
No application. No payment. Just your next step.
