Lessons 16-20 | AI Product Module
Choosing Your Next Engineering Path
Review the full path and decide whether to go deeper into AI, cloud, frontend, backend, product, or research.
Lesson 2045 mincourse modulepaid enrollment
Learning objective
Turn the completed curriculum into a clear next learning plan.
Lab outcome
Prepare a portfolio summary and next-path map.
Module milestone
Polish the product and add one AI-assisted capability with documentation.
Phase 1
Mission briefing
Before You Study (5 mins)
Lesson focus: You completed the 20-lesson foundation path. Today is about turning the work into a clear portfolio and next learning plan.
What you should have ready:
- Your completed project (Module A, B, C, D)
- Your GitHub link
- A celebration drink! ☕/🧃
The Journey
- Week 1: Built a Game & learned Git.
- Week 2: Dockerized & Deployed globally.
- Week 3: Built a Full-Stack API & Database.
- Week 4: Integrated AI & Polished.
Think About
Before studying, consider:
- 20 days ago, did you know what Docker was?
- Did you know how to call an API?
- Look at you now.
By the End
After this lesson, you'll:
- ✅ Submit your Final Project
- ✅ Understand the Career Map (Frontend vs Backend vs AI)
- ✅ Prepare your completion summary
- ✅ Choose your next learning direction
Let's graduate! 🎓