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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 Not outdated frameworks.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.

Small 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.

No refund policy

A programme confident in its quality offers a money-back window. Ours is 7 days, no questions asked.

Certificates without verification

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

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