Week 12 Worklog
Week 12 Objectives:
- Finalize the journey with ML basics and full-topic review.
- Consolidate learning outcomes into a complete worklog summary.
Tasks to be carried out this week:
| Day | Task | Start Date | Completion Date | Reference Material | Status |
|---|---|---|---|---|---|
| 1 | AWS: SageMaker ML | 07/03/2026 | 07/03/2026 | Learned ML workflow fundamentals on AWS | Completed |
| 2 | AWS: SageMaker Immersion Day 1 | 07/04/2026 | 07/04/2026 | Completed practical immersion exercises | Completed |
| 3 | AWS: SageMaker Immersion Day 2 | 07/05/2026 | 07/05/2026 | Finalized immersion track tasks | Completed |
| 4 | AWS: Migration Review | 07/06/2026 | 07/06/2026 | Revisited migration lessons and patterns | Completed |
| 5 | AWS: Best Practices Review | 07/07/2026 | 07/07/2026 | Consolidated architecture best practices | Completed |
| 6 | AWS: Hands-on Review | 07/08/2026 | 07/08/2026 | Reviewed practical labs and implementation notes | Completed |
| 7 | AWS: Journey Finalization | 07/09/2026 | 07/09/2026 | Completed final consolidation of the full journey | Completed |
Daily Details
Day 1 - AWS: SageMaker ML
- Learned the basics of the machine learning workflow on AWS.
Day 2 - AWS: SageMaker Immersion Day 1
- Followed the immersion day scenario and practiced the main ML setup steps.
Day 3 - AWS: SageMaker Immersion Day 2
- Completed the remaining hands-on SageMaker exercises.
Day 4 - AWS: Migration Review
- Revisited cloud migration lessons and the key planning points.
Day 5 - AWS: Best Practices Review
- Reinforced architecture and operations best practices.
Day 6 - AWS: Hands-on Review
- Reviewed the full set of hands-on tasks and the skills practiced during the journey.
Day 7 - AWS: Journey Finalization
- Summarized the full journey and finalized the worklog report.
Week 12 Achievements:
- Built baseline understanding of ML capabilities with SageMaker.
- Completed end-to-end review across platform, security, data, and app tracks.
- Finalized a coherent 12-week cloud learning narrative.