What You Will Achieve
Master AI Coding Tools: Leverage modern environments to amplify development speed and efficiency
Build AI-Powered Apps: Design, develop, and integrate smart components into complete operational applications
Work with LLM APIs: Gain hands-on exposure connecting with foundational models from top providers
Deploy & Scale: Push your code live to production environments safely and effortlessly
Portfolio Ready: Walk away with real, production-ready capstone artifacts to showcase to employers
Industry Tools
Cursor
AI-assisted code editor used throughout the bootcamp for prompt-driven code generation, debugging, and live build execution
Streamlit
Rapid interface-building framework used to turn Python scripts into interactive, deployable AI web applications
LLM APIs
Direct programmatic integration with foundational models from top providers for chat, RAG, and agent workflows
Git & GitHub
Version control and deployment workflows used to ship your live, operational AI application to the web
8 Sessions Curriculum
Week 1 · Session 1
AI Landscape & Modern Dev
Core Topics
- AI vs ML vs Generative AI structural breakdown
- How ChatGPT & Large Language Models work under the hood
- Navigating the modern AI development ecosystem
- Capabilities and hard constraints: what AI can and cannot do
- High-level overview of state-of-the-art AI tools
Hands-On Practice
- Compare outputs across different model architectures
- Generate your very first live AI-assisted code snippet
Week 1 · Session 2
AI-Assisted Coding with Cursor
Core Topics
- Installing, configuring, and optimizing the Cursor editor
- Strategic prompt engineering specifically for code generation
- Reading, parsing, and verifying AI-generated outputs
- Collaborative debugging workflows with AI models
- Avoiding common pitfalls and architectural mistakes
Hands-On Practice
- Build an interactive Calculator application
- Develop an automated File Summarizer utility
Weekly Assignment
- Option A: Interactive To-Do Application
- Option B: Comprehensive Student Marks Calculator
Week 2 · Session 3
Practical Python Essentials
Core Topics
- Core mechanics: variables, types, and safe execution
- Structuring logic with functions and flow control loops
- Handling complex data with lists and dictionaries
- Parsing and transforming structured JSON payloads
- Reading local file systems and basic API mechanics
Hands-On Practice
- Ingest and read raw CSV spreadsheet data
- Extract target metrics and run advanced text processing
Week 2 · Session 4
APIs & AI Integration
Core Topics
- API architecture, requests, methods, and protocols
- Handling API keys, environments, and secrets securely
- Making direct programmatic calls to LLM endpoints
- Prompt engineering foundations for backend integrations
- Enforcing structured JSON outputs from AI models
Hands-On Practice
- Build a custom AI Text Generator
- Build a targeted AI Email Writer
- Build an automated AI Notes Summarizer
Week 3 · Session 5
AI Application Development
Core Topics
- Deconstructing architectures: frontend vs. backend
- Streamlit foundations for rapid interface building
- Handling user inputs, states, and interactive event triggers
- Designing dynamic multi-turn chat interfaces
- Implementing secure web-based file uploads and pipeline workflows
Hands-On Practice
- Build an end-to-end AI Resume Analyzer OR an AI Study Assistant dashboard
Week 3 · Session 6
RAG & AI Workflows
Core Topics
- Demystifying Retrieval-Augmented Generation (RAG)
- Text embedding spaces and mathematical similarities
- High-level overview of vector databases
- Managing contextual state and system memory in AI apps
- Introduction to autonomous AI Agents and loop workflows
Hands-On Practice
- Build a comprehensive PDF Question-Answering App (Chat with your Data)
Week 4-5 · Session 7
Deployment & Product Thinking
Core Topics
- Git and GitHub workflows for tracking and deployment
- Hosting AI web applications on modern cloud instances
- Protecting credentials using production Environment Variables
- Tailoring portfolios, resumes, and projecting developer value
Hands-On Practice
- Deploy your live operational AI application to the web
Week 4-5 · Session 8
Final Capstone Project
Deliverable Focus
- Members choose and engineer one comprehensive flagship project from the curriculum menu
Project Menu
- AI Interview Assistant
- AI Trip Planner
- AI Customer Support Bot
- AI Code Reviewer
- AI Expense Analyzer
- AI Notes Generator
Our Teaching Strategy — Engineered for Impact
Live Build Execution: Every application is designed, typed, and structured live in front of you
Aggressive Tool Leverage: We teach you how to treat AI as a primary co-developer to skip past boilerplate constraints
Advanced Debugging: Learn how to read errors, trace call stacks, and prompt systems to fix bugs autonomously
Heavy Project Orientation: Minimize theoretical bloat; maximize concrete development time
Ready to Build Real AI Applications?
Join builders learning to design, code, and deploy production-ready AI apps — no prior expert programming experience required
Enroll Now