Code with AI Series for Professionals {Virtual}

Coding Bootcamp for Product Managers
Code with AI Series

A 24-Class Bootcamp for Future Product Leaders, Designers & Developers*

Overview
This 24-week program transforms business professionals into technically fluent product builders.
You’ll learn to manage, design, and code products - using AI as your development partner.
---
Module 1: Product Management Basics (Classes 1–4)
Goal: Learn how to think like a Product Manager and define what to build.
1. What is Product Management? - Understand the PM role, tech ecosystem, and AI’s impact on product lifecycle.
2. Understanding Users & Markets | Learn user research, personas, and market validation.
3. Problem Statements & Metrics | Define KPIs, success metrics, and outcome-driven thinking.
4. Building Roadmaps & MVPs | Learn prioritization frameworks and build your first AI-assisted roadmap.
---
Module 2: Basics of Digital Design (Classes 5–8)
Goal: Learn to create user experiences and prototypes with AI-enhanced design tools.

5. Introduction to Design Thinking - Learn the Double Diamond framework and how to apply it to tech products.
6. UX/UI Principles - Understand layouts, color, typography, and accessibility.
7. Prototyping with AI
8. Building Clickable Prototypes - Turn your AI-generated design into an interactive prototype.
---
Module 3: Computer Fundamentals (Classes 9–11)
Goal: Build a solid foundation in how software, the internet, and data actually work.

9. How Computers Think - Learn hardware/software architecture, and OS basics.
10. How the Internet Works - Understand clients, servers, DNS, APIs, and the cloud.
11. Data, Files & Cloud - Learn about file types, data storage, and cloud infrastructure.
---
Module 4: Introduction to Programming (Classes 12–15)
Goal: Learn the logic of programming and automate simple tasks with AI assistance.

12. Programming Fundamentals - Learn about variables, loops, and conditionals using AI guidance.
13. Functions & Logic - Learn how to modularize and reuse code effectively.
14. Debugging & Testing with AI - Use AI to find and fix errors; understand how testing works.
15. Build an Automation - Create a simple automation script (e.g., task tracker or data cleaner).
---
Module 5: Web Programming with AI (Classes 16–19)
Goal: Build your first AI-assisted web app using modern tools.

16. Introduction to Web Development | Learn HTML, CSS, and the DOM with AI guidance. | Replit, ChatGPT |
17. JavaScript Essentials | Build interactivity into your web app with AI code suggestions. | VSCode, Copilot |
18. Working with APIs | Use AI to integrate public APIs and display live data. | Postman, ChatGPT |
19. Deploying Your First Web App | Learn Git, GitHub Pages, and deploying your app live. | GitHub, Netlify |
---
Module 6: Servers, Backends & Data with AI (Classes 20–23)
Goal: Build your backend and learn to manage data with AI-powered tools.

20. Intro to Node.js and Express - Understand server logic and build your first API. |
21. Databases 101 - Learn SQL vs NoSQL and connect with a database.
22. Building an AI-Powered Backend - Use AI to write backend routes and manage data flow.
23. Authentication and Deployment - Secure your app and deploy to the cloud.
---
Module 7: Capstone Project (Class 24 - 8 weeks to build the Capstone)
Goal: Build and present your own AI-enabled product prototype.

24. Final Project Showcase - Build, present, and pitch your AI-powered product concept.
---
Learning Outcomes
By the end of the course, participants will:
- Understand the end-to-end product lifecycle
- Prototype with AI design tools
- Build front-end and back-end apps with AI coding assistants
- Deploy and demo a real working project
- Present like a Product Manager, think like a Designer, and code like a Developer
---
Tools Used
- AI Tools: ChatGPT, Cursor IDE, VS Code, Stitch, Traycer
- Design Tools: Figma
- Development Stack: HTML, CSS, JS, Node.js, MongoDB, neo4j, Python/go

---
Teaching Approach
- Hands-on Learning
- Live Coding and Design Sessions
- AI-Assisted Mentorship
- Peer Collaboration and Reviews
---
🎖️ Certificate of Completion
Graduates receive a Certificate in AI-Enabled Product Development to showcase their ability to design, build, and lead modern digital products from qikfox Inc (https://qikfox.com) .
---
Join the next cohort and transform from thinker to maker - with AI as your co-pilot.

Coding Bootcamp for Product Managers
Code with AI Series
A 24-Class Bootcamp for Future Product Leaders, Designers & Developers

Overview
This 24-week program transforms business professionals into technically fluent product builders.
You’ll learn to manage, design, and code products - using AI as your development partner.
---
Module 1: Product Management Basics (Classes 1–4)
Goal: Learn how to think like a Product Manager and define what to build.
1. What is Product Management? - Understand the PM role, tech ecosystem, and AI’s impact on product lifecycle.
2. Understanding Users & Markets | Learn user research, personas, and market validation.
3. Problem Statements & Metrics | Define KPIs, success metrics, and outcome-driven thinking.
4. Building Roadmaps & MVPs | Learn prioritization frameworks and build your first AI-assisted roadmap.
---
Module 2: Basics of Digital Design (Classes 5–8)
Goal: Learn to create user experiences and prototypes with AI-enhanced design tools.

5. Introduction to Design Thinking - Learn the Double Diamond framework and how to apply it to tech products.
6. UX/UI Principles - Understand layouts, color, typography, and accessibility.
7. Prototyping with AI
8. Building Clickable Prototypes - Turn your AI-generated design into an interactive prototype.
---
Module 3: Computer Fundamentals (Classes 9–11)
Goal: Build a solid foundation in how software, the internet, and data actually work.

9. How Computers Think - Learn hardware/software architecture, and OS basics.
10. How the Internet Works - Understand clients, servers, DNS, APIs, and the cloud.
11. Data, Files & Cloud - Learn about file types, data storage, and cloud infrastructure.
---
Module 4: Introduction to Programming (Classes 12–15)
Goal: Learn the logic of programming and automate simple tasks with AI assistance.

12. Programming Fundamentals - Learn about variables, loops, and conditionals using AI guidance.
13. Functions & Logic - Learn how to modularize and reuse code effectively.
14. Debugging & Testing with AI - Use AI to find and fix errors; understand how testing works.
15. Build an Automation - Create a simple automation script (e.g., task tracker or data cleaner).
---
Module 5: Web Programming with AI (Classes 16–19)
Goal: Build your first AI-assisted web app using modern tools.

16. Introduction to Web Development | Learn HTML, CSS, and the DOM with AI guidance. | Replit, ChatGPT |
17. JavaScript Essentials | Build interactivity into your web app with AI code suggestions. | VSCode, Copilot |
18. Working with APIs | Use AI to integrate public APIs and display live data. | Postman, ChatGPT |
19. Deploying Your First Web App | Learn Git, GitHub Pages, and deploying your app live. | GitHub, Netlify |
---
Module 6: Servers, Backends & Data with AI (Classes 20–23)
Goal: Build your backend and learn to manage data with AI-powered tools.

20. Intro to Node.js and Express - Understand server logic and build your first API. |
21. Databases 101 - Learn SQL vs NoSQL and connect with a database.
22. Building an AI-Powered Backend - Use AI to write backend routes and manage data flow.
23. Authentication and Deployment - Secure your app and deploy to the cloud.
---
Module 7: Capstone Project (Class 24 - 8 weeks to build the Capstone)
Goal: Build and present your own AI-enabled product prototype.

24. Final Project Showcase - Build, present, and pitch your AI-powered product concept.
---
Learning Outcomes
By the end of the course, participants will:
- Understand the end-to-end product lifecycle
- Prototype with AI design tools
- Build front-end and back-end apps with AI coding assistants
- Deploy and demo a real working project
- Present like a Product Manager, think like a Designer, and code like a Developer
---
Tools Used
- AI Tools: ChatGPT, Cursor IDE, VS Code, Stitch, Traycer
- Design Tools: Figma
- Development Stack: HTML, CSS, JS, Node.js, MongoDB, neo4j, Python/go

---
Teaching Approach
- Hands-on Learning
- Live Coding and Design Sessions
- AI-Assisted Mentorship
- Peer Collaboration and Reviews
---
🎖️ Certificate of Completion
Graduates receive a Certificate in AI-Enabled Product Development to showcase their ability to design, build, and lead modern digital products from qikfox Inc (https://qikfox.com) .
---
Join the next cohort and transform from thinker to maker - with AI as your co-pilot.

Coding Bootcamp for Product Managers
Code with AI Series
A 24-Class Bootcamp for Future Product Leaders, Designers & Developers

Overview
This 24-week program transforms business professionals into technically fluent product builders.
You’ll learn to manage, design, and code products - using AI as your development partner.
---
Module 1: Product Management Basics (Classes 1–4)
Goal: Learn how to think like a Product Manager and define what to build.
1. What is Product Management? - Understand the PM role, tech ecosystem, and AI’s impact on product lifecycle.
2. Understanding Users & Markets | Learn user research, personas, and market validation.
3. Problem Statements & Metrics | Define KPIs, success metrics, and outcome-driven thinking.
4. Building Roadmaps & MVPs | Learn prioritization frameworks and build your first AI-assisted roadmap.
---
Module 2: Basics of Digital Design (Classes 5–8)
Goal: Learn to create user experiences and prototypes with AI-enhanced design tools.

5. Introduction to Design Thinking - Learn the Double Diamond framework and how to apply it to tech products.
6. UX/UI Principles - Understand layouts, color, typography, and accessibility.
7. Prototyping with AI
8. Building Clickable Prototypes - Turn your AI-generated design into an interactive prototype.
---
Module 3: Computer Fundamentals (Classes 9–11)
Goal: Build a solid foundation in how software, the internet, and data actually work.

9. How Computers Think - Learn hardware/software architecture, and OS basics.
10. How the Internet Works - Understand clients, servers, DNS, APIs, and the cloud.
11. Data, Files & Cloud - Learn about file types, data storage, and cloud infrastructure.
---
Module 4: Introduction to Programming (Classes 12–15)
Goal: Learn the logic of programming and automate simple tasks with AI assistance.

12. Programming Fundamentals - Learn about variables, loops, and conditionals using AI guidance.
13. Functions & Logic - Learn how to modularize and reuse code effectively.
14. Debugging & Testing with AI - Use AI to find and fix errors; understand how testing works.
15. Build an Automation - Create a simple automation script (e.g., task tracker or data cleaner).
---
Module 5: Web Programming with AI (Classes 16–19)
Goal: Build your first AI-assisted web app using modern tools.

16. Introduction to Web Development | Learn HTML, CSS, and the DOM with AI guidance. | Replit, ChatGPT |
17. JavaScript Essentials | Build interactivity into your web app with AI code suggestions. | VSCode, Copilot |
18. Working with APIs | Use AI to integrate public APIs and display live data. | Postman, ChatGPT |
19. Deploying Your First Web App | Learn Git, GitHub Pages, and deploying your app live. | GitHub, Netlify |
---
Module 6: Servers, Backends & Data with AI (Classes 20–23)
Goal: Build your backend and learn to manage data with AI-powered tools.

20. Intro to Node.js and Express - Understand server logic and build your first API. |
21. Databases 101 - Learn SQL vs NoSQL and connect with a database.
22. Building an AI-Powered Backend - Use AI to write backend routes and manage data flow.
23. Authentication and Deployment - Secure your app and deploy to the cloud.
---
Module 7: Capstone Project (Class 24 - 8 weeks to build the Capstone)
Goal: Build and present your own AI-enabled product prototype.

24. Final Project Showcase - Build, present, and pitch your AI-powered product concept.
---
Learning Outcomes
By the end of the course, participants will:
- Understand the end-to-end product lifecycle
- Prototype with AI design tools
- Build front-end and back-end apps with AI coding assistants
- Deploy and demo a real working project
- Present like a Product Manager, think like a Designer, and code like a Developer
---
Tools Used
- AI Tools: ChatGPT, Cursor IDE, VS Code, Stitch, Traycer
- Design Tools: Figma
- Development Stack: HTML, CSS, JS, Node.js, MongoDB, neo4j, Python/go

---
Teaching Approach
- Hands-on Learning
- Live Coding and Design Sessions
- AI-Assisted Mentorship
- Peer Collaboration and Reviews
---
🎖️ Certificate of Completion
Graduates receive a Certificate in AI-Enabled Product Development to showcase their ability to design, build, and lead modern digital products from qikfox Inc (https://qikfox.com) .
---
Join the next cohort and transform from thinker to maker - with AI as your co-pilot.

Coding Bootcamp for Product Managers
Code with AI Series
A 24-Class Bootcamp for Future Product Leaders, Designers & Developers

Overview
This 24-week program transforms business professionals into technically fluent product builders.
You’ll learn to manage, design, and code products - using AI as your development partner.
---
Module 1: Product Management Basics (Classes 1–4)
Goal: Learn how to think like a Product Manager and define what to build.
1. What is Product Management? - Understand the PM role, tech ecosystem, and AI’s impact on product lifecycle.
2. Understanding Users & Markets | Learn user research, personas, and market validation.
3. Problem Statements & Metrics | Define KPIs, success metrics, and outcome-driven thinking.
4. Building Roadmaps & MVPs | Learn prioritization frameworks and build your first AI-assisted roadmap.
---
Module 2: Basics of Digital Design (Classes 5–8)
Goal: Learn to create user experiences and prototypes with AI-enhanced design tools.

5. Introduction to Design Thinking - Learn the Double Diamond framework and how to apply it to tech products.
6. UX/UI Principles - Understand layouts, color, typography, and accessibility.
7. Prototyping with AI
8. Building Clickable Prototypes - Turn your AI-generated design into an interactive prototype.
---
Module 3: Computer Fundamentals (Classes 9–11)
Goal: Build a solid foundation in how software, the internet, and data actually work.

9. How Computers Think - Learn hardware/software architecture, and OS basics.
10. How the Internet Works - Understand clients, servers, DNS, APIs, and the cloud.
11. Data, Files & Cloud - Learn about file types, data storage, and cloud infrastructure.
---
Module 4: Introduction to Programming (Classes 12–15)
Goal: Learn the logic of programming and automate simple tasks with AI assistance.

12. Programming Fundamentals - Learn about variables, loops, and conditionals using AI guidance.
13. Functions & Logic - Learn how to modularize and reuse code effectively.
14. Debugging & Testing with AI - Use AI to find and fix errors; understand how testing works.
15. Build an Automation - Create a simple automation script (e.g., task tracker or data cleaner).
---
Module 5: Web Programming with AI (Classes 16–19)
Goal: Build your first AI-assisted web app using modern tools.

16. Introduction to Web Development | Learn HTML, CSS, and the DOM with AI guidance. | Replit, ChatGPT |
17. JavaScript Essentials | Build interactivity into your web app with AI code suggestions. | VSCode, Copilot |
18. Working with APIs | Use AI to integrate public APIs and display live data. | Postman, ChatGPT |
19. Deploying Your First Web App | Learn Git, GitHub Pages, and deploying your app live. | GitHub, Netlify |
---
Module 6: Servers, Backends & Data with AI (Classes 20–23)
Goal: Build your backend and learn to manage data with AI-powered tools.

20. Intro to Node.js and Express - Understand server logic and build your first API. |
21. Databases 101 - Learn SQL vs NoSQL and connect with a database.
22. Building an AI-Powered Backend - Use AI to write backend routes and manage data flow.
23. Authentication and Deployment - Secure your app and deploy to the cloud.
---
Module 7: Capstone Project (Class 24 - 8 weeks to build the Capstone)
Goal: Build and present your own AI-enabled product prototype.

24. Final Project Showcase - Build, present, and pitch your AI-powered product concept.
---
Learning Outcomes
By the end of the course, participants will:
- Understand the end-to-end product lifecycle
- Prototype with AI design tools
- Build front-end and back-end apps with AI coding assistants
- Deploy and demo a real working project
- Present like a Product Manager, think like a Designer, and code like a Developer
---
Tools Used
- AI Tools: ChatGPT, Cursor IDE, VS Code, Stitch, Traycer
- Design Tools: Figma
- Development Stack: HTML, CSS, JS, Node.js, MongoDB, neo4j, Python/go

---
Teaching Approach
- Hands-on Learning
- Live Coding and Design Sessions
- AI-Assisted Mentorship
- Peer Collaboration and Reviews
---
🎖️ Certificate of Completion
Graduates receive a Certificate in AI-Enabled Product Development to showcase their ability to design, build, and lead modern digital products from qikfox Inc (https://qikfox.com) .
---
Join the next cohort and transform from thinker to maker - with AI as your co-pilot.