8-Week Intensive Program

AI Engineering Fellowship

Master the modern AI stack. Go from basic Python to building and deploying complex, production-ready AI applications using LLMs, Vector Databases, and Agents.

The Curriculum

An intensive, week-by-week breakdown of your engineering journey.

Week 1

Foundations of AI Engineering

Topics

Introduction to AI EngineeringSoftware Development LifecyclePython FundamentalsVS Code SetupGit & GitHub BasicsCommand Line Essentials

Weekly Tasks

  • Install development environment
  • Create GitHub account
  • Push first repository
  • Complete Python exercises
  • Submit GitHub profile

Project Build: Python Utility Toolkit

Build a CLI application containing: Calculator, Password Generator, Unit Converter, File Organizer

Week 2

APIs & Backend Fundamentals

Topics

HTTP & REST APIsJSONFastAPI BasicsAPI TestingEnvironment VariablesPostman

Weekly Tasks

  • Create REST API
  • Test endpoints
  • Deploy locally
  • Document API

Project Build: Student Management API

Features: Add Student, Update Student, Delete Student, Get Student, List Students

Week 3

Databases & Authentication

Topics

PostgreSQLSQL BasicsORMAuthenticationJWTPassword Hashing

Weekly Tasks

  • Design database
  • Implement authentication
  • Secure APIs

Project Build: Authentication System

Features: Signup, Login, Forgot Password, JWT Authentication, User Dashboard API

Week 4

AI Integration

Topics

Introduction to LLMsPrompt EngineeringGemini/OpenAI APIsAI ChatbotsToken UsageAI Safety

Weekly Tasks

  • Integrate AI API
  • Build prompt templates
  • Handle API errors

Project Build: AI Chat Assistant

Features: AI Chat, Conversation History, Markdown Support, Streaming Response

Week 5

Full Stack AI Application

Topics

React BasicsAPI IntegrationAuthenticationState ManagementUI Design

Weekly Tasks

  • Connect frontend with backend
  • Build responsive UI
  • Deploy frontend

Project Build: AI Resume Builder

Features: Resume Generator, AI Content Suggestions, PDF Export, User Authentication

Week 6

Advanced AI Projects

Topics

AI AgentsRAG BasicsVector DatabasesFile UploadDocument Processing

Weekly Tasks

  • Upload PDFs
  • Extract text
  • Build retrieval system

Project Build: AI PDF Assistant

Features: Upload PDF, Ask Questions, Summarize Document, Keyword Search

Week 7

Deployment & Production

Topics

DockerVercelRenderEnvironment VariablesLoggingMonitoring

Weekly Tasks

  • Containerize application
  • Deploy backend
  • Deploy frontend
  • Configure domains

Project Build: Deploy Previous Projects

Students deploy: AI Chatbot, Resume Builder, PDF Assistant

Week 8

Portfolio & Career Launch

Topics

Resume BuildingLinkedIn OptimizationGitHub PortfolioTechnical InterviewsPersonal Branding

Weekly Tasks

  • Update GitHub
  • Build Portfolio Website
  • Resume Review
  • Mock Interview

Project Build: AI Productivity Suite (Capstone)

Students build a complete SaaS application. Features: AI Chat, AI Notes Generator, PDF Summarizer, Resume Builder, Authentication, Dashboard, File Upload, User Profiles, Deployment, Admin Panel

Weekly Deliverables

WeekDeliverable
1Python Utility Toolkit
2Student Management API
3Authentication System
4AI Chat Assistant
5AI Resume Builder
6AI PDF Assistant
7Deploy Previous Projects
8AI Productivity Suite (Capstone)

Weekly Assignments

Weeks 1-2

Python Quiz, Git Challenge, CLI App, REST API Task, Postman Collection, API Docs.

Weeks 3-4

Database Design, JWT Auth, SQL Exercises, Prompt Engineering, Chatbot Enhancement.

Weeks 5-6

React Dashboard, Responsive UI, RAG Implementation, PDF Processing.

Weeks 7-8

Docker & Deployment Tasks, Portfolio, Resume, GitHub Review, Mock Interview.

Final Submission Checklist

Before you graduate, you must complete and submit the following for review to receive your verified certification.

GitHub Repository
Live Demo
Portfolio Website
Project Documentation
README.md
Resume
LinkedIn Profile
Final Presentation
Capstone Project Demo
Verified Completion Certificate
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