That's a wrap. 🎉
Two days together — first leading with Generative AI, then building with AI & ML on Google Cloud. Let's look back at what you did.
What we covered together 🗺️
Two full days, two halves of the same story:
Generative AI Leader GAIL
- Gen AI: point solution → platform
- The 5 layers, infrastructure → agents
- Prompt engineering & workflows
- Responsible AI
AI & ML on Google Cloud AI/ML
- The Data-to-AI lifecycle
- Gemini multimodal & prompts
- API · BigQuery ML · AutoML · custom
- An ML model end-to-end in Vertex AI
What you can now do ✅
Lead Gen AI strategy
Point → platform, the 5 layers, Responsible AI.
Engineer prompts
Reusable templates & automated workflows.
Build with Gemini
Multimodal models & AI agents.
Pick the right tool
API · BigQuery ML · AutoML · custom training.
Ship an ML model
End-to-end on Vertex AI.
Read the results
Confusion matrix, precision & recall.
Where this is heading 🎓
Generative AI Leader GAIL
- Business transformation strategy
- The 5 layers of the Gen AI landscape
- Responsible AI
Associate Cloud Engineer ACE
- The most practical, hands-on credential
- Maintain daily cloud operations
- Deploy & manage on Google Cloud
Stay sharp until then 📚
Finish the Day 4 labs & quizzes
Each module links its Skills Boost lab + quiz — complete them on your own login.
Redo the Knowledge Checks
Run back through each module's 8-question check until they feel easy.
Self-paced mastery on Google Skills
On-demand review modules & learning paths for GAIL and ACE.
Terima kasih. Jumpa lagi! 👋
Two days, and you levelled up — from leading with Generative AI to building real ML on Google Cloud. Keep that momentum into Day 5 and beyond. Boleh, you've got this. — Cikgu Zekriah & Cik Azhan
← Back to Day 4 modules