AI Specialization Program

WEEK 8 —

Deployment, Documentation & Portfolio Launch

Theme: Ship a Production-Ready System

Week 8 is about:

Turning prototype into professional-grade portfolio system.

Week 8 —

6 Lesson Structure

Lesson 1:

Deployment Strategy Planning

Focus:

Choosing deployment method

API vs web app

Hosting options

Scalability considerations

Cost awareness

Outcome: Students plan deployment professionally.

Lesson 2:

Deploying the Model

Focus:

FastAPI or Streamlit deployment

Connecting frontend to backend

Hosting demo (Hugging Face Spaces or similar)

Testing endpoints

Deliverable: Live demo link.

Outcome: Students ship working AI system.

Lesson 3:

Monitoring & Reliability Planning

Focus:

Logging outputs

Monitoring performance

Drift awareness plan

Guardrails refinement

Failure handling strategy

Outcome: Students understand post-deployment responsibility.

Lesson 4:

Technical Documentation Writing

Focus:

Writing professional README

Explaining architecture

Model explanation section

Limitations section

Installation & usage guide

Deliverable: Complete documentation package.

Outcome: Students produce recruiter-ready repository.

 Lesson 5:

Portfolio Case Study Creation

Focus:

Writing structured case study

Problem → Solution → Impact

Screenshots & diagrams

Business relevance explanation

Presentation clarity

Deliverable: Portfolio-grade project page.

Outcome: Students turn project into career asset.

Lesson 6:

Final Presentation & System Defense

Focus:

Live demonstration

Explaining model choices

Explaining trade-offs

Ethics defense

Q&A readiness

Outcome: Students confidently defend their system like professionals.

 Week 8 Final Outcome

By the end of Week 8, students have:

✔ Deployed a working AI system

✔ Published a clean GitHub repository

✔ Shared a live demo link

✔ Created system architecture diagram

✔ Written evaluation & ethics report

✔ Built portfolio-ready case study

✔ Demonstrated system professionally

Week 8 produces:

Production-ready AI engineers with portfolio-grade systems.

 Final 8-Week Specialization Structure

Week 1 → Engineering Foundations

Week 2 → Data Engineering

Week 3 → Machine Learning

Week 4 → Deep Learning + MLOps

Week 5 → NLP & Generative AI

Week 6 → Computer Vision + Deployment

Week 7 → Capstone Build

Week 8 → Capstone Ship & Portfolio

This is now a world-class AI Engineering specialization.

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