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Not All AI Courses Are Equal.

Before you pay for any AI programme, ask one question: what proof will I have when it ends?

What a Good AI Course Actually Looks Like

✓

You build and deploy real systems

Not just exercises. Live URLs that work after the programme ends.

✓

The curriculum uses current tools

Claude API, OpenAI, LangChain, RAG systems. Not outdated frameworks.

✓

You have a GitHub portfolio after

Evidence of capability that anyone can verify.

✓

Certificates link to real proof

A certificate with a QR code to your GitHub is verifiable. A PDF is not.

✓

Quality-focused cohorts with live trainers

Recorded content is not training. You need someone who can debug your code in real time.

Free vs Paid: What You Actually Get

Free Courses

  • ×Self-paced, easy to abandon
  • ×No accountability or gates
  • ×No live trainer for your errors
  • ×Certificate with no proof link
  • ×GitHub stays empty
  • ×No feedback on your work
  • ×5% average completion rate

SlieveTech Programme

  • ✓Live weekends, ship or don't advance
  • ✓Weekly gates with accountability
  • ✓Trainer debugging your code live
  • ✓Certificate with QR proof link
  • ✓3 deployed GitHub systems
  • ✓Documented feedback every week
  • ✓80%+ completion target

Red Flags to Watch For

Job placement guarantees

No course can guarantee a job. Anyone who says otherwise is selling you something.

Vague curriculum pages

If the week-by-week content is not publicly listed, ask why. Transparency matters.

Clear refund policy

A programme confident in its quality shows payment, transfer, and refund terms clearly before enrolment.

Certificates without verification

Ask if the certificate links to real evidence. If it is just a PDF with your name, it proves nothing.

Ready to Build?