Enrolling Now

Everyone can vibe code.
Not everyone can get hired.

You already know how to make AI build an app. This bootcamp turns that into a skill a company will pay you for.

Starts October 30, 2026 (Fri, Sat & Sun)

6-7 Weeks · 7-9pm WAT

Live on Google Meet

Choose Your Track

Recommended

Job Ready Track

₦50,000($50)

For people who want to turn the skill into a job.

Includes everything in the Build Track, plus:

The full curriculum, all 5 sections
All 5 quizzes
All 10 GitHub proof of work projects
4 published articles
LinkedIn and profile optimization
Capstone project
Mentorship program with a public, trackable proof of work profile
Mock interviews
Resume and skill set tailored for jobs

Join Job Ready Track

Build TrackCore Builder

₦35,000($35)

For people who want to learn to build a product with AI.

Curriculum Sections 1 to 3
2 of the 5 quizzes
4 of the 10 GitHub proof of work projects
2 published articles

Join Build Track

Key Takeaways

What you do and what you walk away with.

Step 1

Learn each section, class by class

Attend live classes covering design, engineering, and AI across all five curriculum sections.

Step 2

Build and push projects to GitHub

Complete the projects for each section and push them as public proof of work.

Step 3

Take quizzes to check understanding

Validate your knowledge with section quizzes that test real comprehension, not memorization.

Step 4

Write and publish articles

Turn what you learned into published writing that demonstrates your thinking and process.

Build Track stops here

Step 5Job Ready Only

Optimize your LinkedIn and public profiles

Get your professional profiles polished to reflect your new skills and body of work.

Step 6

Build the capstone project

A full product that pulls together everything you have learned, deployed and working publicly.

Step 7

Enter mentorship and build a proof of work profile

Get paired with a mentor and build a public, trackable profile of everything you have shipped.

Step 8

Do mock interviews and tailor your resume

Practice defending your work in realistic interview settings. Get your resume tailored for real jobs.

Step 9

Leave ready to apply for and defend a real job

Walk into interviews with proof, practice, and the confidence that comes from understanding what you built.

Curriculum

Five sections. AI is part of every section, not a separate topic.

Section 1

Design Foundations

Product design thinking and the design process.
Accessibility: contrast, keyboard access, screen readers, and why accessible products reach more users.
UX fundamentals: user flows, information architecture, and usability.
UI and visual design principles: hierarchy, spacing, typography, and color.
Design systems and reusable components.

AI in this section

Generating wireframes and variations with AI.
Getting design critique from AI.
Turning a design into a first build with AI.

Section 2

Context Engineering and Front End

Context engineering: giving an AI agent the right context so it builds the right thing. Context engineering means shaping the instructions, files, and constraints you feed an AI so its output matches what you actually need.
Writing clear specs and prompts for coding agents.
Front end architecture: component structure, folder structure, and separation of concerns.
Front end design implementation: turning a design into working screens.
State management: local state, shared state, and when to use each.
Vibe coding done properly: guiding the agent, reading its output, and rejecting what is wrong instead of accepting everything.

AI in this section

Agent-driven front end builds.
Reviewing AI-generated components.

Section 3

Product Development with AI

Taking an idea to a working product with AI.
Scoping work and breaking it into buildable pieces.
Working with APIs: what an API is, calling third-party APIs, and handling responses and errors. An API is a way for one program to request data or actions from another program.
Basic data handling.
Shipping a first working product.

AI in this section

The build-review-fix loop with an agent.
Debugging with AI.

The Build Track (₦35,000) ends here. The Job Ready Track continues below.

Section 4Detailed & Technical

Back End and Full Stack Engineering

Back end fundamentals: servers, routes, and controllers.
API design in depth: REST principles, endpoints, methods, status codes, and versioning.
Database design and database design patterns: schema design, normalization, relationships, indexes, migrations, and why forward-only migrations matter.
Authentication and authorization.
Validation and the rule that you never trust the frontend.
Payments and money correctness, including storing money in minor units.
Full stack integration using agentic coding.

AI in this section

Using agents to draft schemas, build endpoints, and review security, while you stay the person who understands the code.

Section 5Detailed & Technical

Extending and Shipping

Mobile engineering and mobile development.
Deployment: hosting, environments, and environment variables.
Version control: Git, branching, merging, and pull requests.
Basics of running a product in production: monitoring and common failures.
Scale basics: caching and queues at a high level.

AI in this section

Using agents for deployment scripts, production debugging, and writing tests.

Ready to close the gap?

Classes start October 30, 2026. Spots are limited.

Choose Your Track

Loading bootcamps...

Enrolling Now

Everyone can vibe code.
Not everyone can get hired.

You already know how to make AI build an app. This bootcamp turns that into a skill a company will pay you for.

Starts October 30, 2026 (Fri, Sat & Sun)

6-7 Weeks · 7-9pm WAT

Live on Google Meet

Choose Your Track

Recommended

Job Ready Track

₦50,000($50)

For people who want to turn the skill into a job.

Includes everything in the Build Track, plus:

The full curriculum, all 5 sections
All 5 quizzes
All 10 GitHub proof of work projects
4 published articles
LinkedIn and profile optimization
Capstone project
Mentorship program with a public, trackable proof of work profile
Mock interviews
Resume and skill set tailored for jobs

Join Job Ready Track

Build TrackCore Builder

₦35,000($35)

For people who want to learn to build a product with AI.

Curriculum Sections 1 to 3
2 of the 5 quizzes
4 of the 10 GitHub proof of work projects
2 published articles

Join Build Track

Key Takeaways

What you do and what you walk away with.

Step 1

Learn each section, class by class

Attend live classes covering design, engineering, and AI across all five curriculum sections.

Step 2

Build and push projects to GitHub

Complete the projects for each section and push them as public proof of work.

Step 3

Take quizzes to check understanding

Validate your knowledge with section quizzes that test real comprehension, not memorization.

Step 4

Write and publish articles

Turn what you learned into published writing that demonstrates your thinking and process.

Build Track stops here

Step 5Job Ready Only

Optimize your LinkedIn and public profiles

Get your professional profiles polished to reflect your new skills and body of work.

Step 6

Build the capstone project

A full product that pulls together everything you have learned, deployed and working publicly.

Step 7

Enter mentorship and build a proof of work profile

Get paired with a mentor and build a public, trackable profile of everything you have shipped.

Step 8

Do mock interviews and tailor your resume

Practice defending your work in realistic interview settings. Get your resume tailored for real jobs.

Step 9

Leave ready to apply for and defend a real job

Walk into interviews with proof, practice, and the confidence that comes from understanding what you built.

Curriculum

Five sections. AI is part of every section, not a separate topic.

Section 1

Design Foundations

Product design thinking and the design process.
Accessibility: contrast, keyboard access, screen readers, and why accessible products reach more users.
UX fundamentals: user flows, information architecture, and usability.
UI and visual design principles: hierarchy, spacing, typography, and color.
Design systems and reusable components.

AI in this section

Generating wireframes and variations with AI.
Getting design critique from AI.
Turning a design into a first build with AI.

Section 2

Context Engineering and Front End

Context engineering: giving an AI agent the right context so it builds the right thing. Context engineering means shaping the instructions, files, and constraints you feed an AI so its output matches what you actually need.
Writing clear specs and prompts for coding agents.
Front end architecture: component structure, folder structure, and separation of concerns.
Front end design implementation: turning a design into working screens.
State management: local state, shared state, and when to use each.
Vibe coding done properly: guiding the agent, reading its output, and rejecting what is wrong instead of accepting everything.

AI in this section

Agent-driven front end builds.
Reviewing AI-generated components.

Section 3

Product Development with AI

Taking an idea to a working product with AI.
Scoping work and breaking it into buildable pieces.
Working with APIs: what an API is, calling third-party APIs, and handling responses and errors. An API is a way for one program to request data or actions from another program.
Basic data handling.
Shipping a first working product.

AI in this section

The build-review-fix loop with an agent.
Debugging with AI.

The Build Track (₦35,000) ends here. The Job Ready Track continues below.

Section 4Detailed & Technical

Back End and Full Stack Engineering

Back end fundamentals: servers, routes, and controllers.
API design in depth: REST principles, endpoints, methods, status codes, and versioning.
Database design and database design patterns: schema design, normalization, relationships, indexes, migrations, and why forward-only migrations matter.
Authentication and authorization.
Validation and the rule that you never trust the frontend.
Payments and money correctness, including storing money in minor units.
Full stack integration using agentic coding.

AI in this section

Using agents to draft schemas, build endpoints, and review security, while you stay the person who understands the code.

Section 5Detailed & Technical

Extending and Shipping

Mobile engineering and mobile development.
Deployment: hosting, environments, and environment variables.
Version control: Git, branching, merging, and pull requests.
Basics of running a product in production: monitoring and common failures.
Scale basics: caching and queues at a high level.

AI in this section

Using agents for deployment scripts, production debugging, and writing tests.

Ready to close the gap?

Classes start October 30, 2026. Spots are limited.

Choose Your Track

Everyone can vibe code.Not everyone can get hired.

Choose Your Track

Key Takeaways

Learn each section, class by class

Build and push projects to GitHub

Take quizzes to check understanding

Write and publish articles

Optimize your LinkedIn and public profiles

Build the capstone project

Enter mentorship and build a proof of work profile

Do mock interviews and tailor your resume

Leave ready to apply for and defend a real job

Curriculum

Design Foundations

Context Engineering and Front End

Product Development with AI

Back End and Full Stack Engineering

Extending and Shipping

Ready to close the gap?

Everyone can vibe code.Not everyone can get hired.

Choose Your Track

Key Takeaways

Learn each section, class by class

Build and push projects to GitHub

Take quizzes to check understanding

Write and publish articles

Optimize your LinkedIn and public profiles

Build the capstone project

Enter mentorship and build a proof of work profile

Do mock interviews and tailor your resume

Leave ready to apply for and defend a real job

Curriculum

Design Foundations

Context Engineering and Front End

Product Development with AI

Back End and Full Stack Engineering

Extending and Shipping

Ready to close the gap?

Everyone can vibe code.
Not everyone can get hired.

Everyone can vibe code.
Not everyone can get hired.