02Workflow
Professional AI Builder
Turn AI from a chat assistant into a disciplined repo workflow for faster features, cleaner reviews, and fewer wasted tokens.
Plan before prompting
Review agent output
Ship safer changes
you can reuse at work
AI coding academy for students and professionals
Don't just use AI,learn to build
Master AI tools through a token-efficient development workflow that turns ideas into production-grade software.
50B+ChatGPT tokens spent on real builds
12+production tools taught hands-on
Livecourses, mentorship and build sessions
ProgramsChoose
Choose
your climb.
Learn AI coding through real projects, live sessions, private mentorship, and workflows that survive tool changes.
01
AI Coding Foundations
Go from confused AI prompts to a real app you understand, can explain, and can keep improving.
Think in specsRead AI code confidentlyBuild an app end to end
Portfoliofirst production-style project
Program paths
Pick the outcome you need.
01A shipped portfolio project
02A reusable AI development workflow
03Confidence to debug AI-generated code
04Production habits: tests, logs, GitHub, deploys
03Clarity
Private Build Mentorship
Bring your idea or stuck project. Leave with a clearer architecture, working features, and a practical path to deploy.
Fix stuck builds
Design the next milestone
Deploy with confidence
on your actual product
04Momentum
AI Builders Club
Stay consistent with weekly live builds, workflow upgrades, project reviews, and a serious builder community.
Weekly build rhythm
Project feedback
New AI workflows
every week with builders
01
What we teach
- Context engineering and prompt systems
- Claude Code, Codex, Cursor and ChatGPT workflows
- Frontend, backend, APIs, databases and auth
- Debugging hallucinated or broken AI code
- GitHub, testing, deployment and documentation
02
How we teach
- Live build sessions, not slide-only webinars
- Follow-along coding with real project files
- Private review for architecture and debugging
- Templates, session notes and reusable workflows
- Weekly momentum through the AI Builders Club
03
What you build
- Full-stack apps with real user flows
- Admin panels, dashboards and internal tools
- AI agents that research, plan and call APIs
- Automation workflows for work and business
- Portfolio projects you can explain confidently
Plan with models
Build in the repo
Ship with proof
Production AI stack.
One build system.
We teach how to move from model thinking to repo execution, testing, deployment and review without wasting context or shipping fragile demos.
ChatGPT
research, product thinking, specs
Claude Code
repo-wide agentic implementation
Codex
implementation, review, refactors
Cursor
editor-native pair programming
Gemini
long-context code analysis
Grok
alternate reasoning and research
GitHub
branches, PRs, code reviews
Supabase
auth, storage, realtime data
PostgreSQL
schema design and migrations
Playwright
browser tests and QA loops
Vercel
preview deploys and releases
Docker
local parity and production habits
workflow / 01
Less Token Waste
We teach context files, concise specs, reusable prompts and agent instructions so you stop burning tokens on repeated explanations.
workflow / 02
Production Grade
You learn error states, validation, auth, database design, tests, logs, deployment and code review instead of stopping at a demo.
workflow / 03
Human Review Loop
AI writes fast. You learn how to inspect architecture, spot hallucinations, reject bad abstractions and keep the project maintainable.
Workflow
Think.Build.Ship.
How a live build session works
From idea to deployed project.
Every session is designed to teach judgement, not just buttons. You see how to plan the work, direct the AI, catch mistakes and ship.
01
Plan
We start with the product goal, users, constraints, data model and a small spec the AI can follow.
02
Prompt
You learn how to give agents the right files, examples, acceptance criteria and correction loops.
03
Code
We build live in the editor using AI tools, but pause to explain every important decision.
04
Review
We inspect AI output for bugs, security issues, bad abstractions, missing states and deployment risk.
05
Ship
We push to GitHub, configure env vars, deploy, read logs and document what was built.
LIVE
Token-smart
build system.
0B+
Tokens studied the hard way
so you learn the efficient path
through specs, files and agent rules
Less context repetition
0%
testing, review, deploy and maintain
Production mindset
0%
Context filesReusable promptsAgent instructionsCode review loopsTests · Logs · Deployment · Documentation
Instructor
Manoj Prabhakar
Learn from the builder
Taught by the tech guy who actually builds.
Manoj Prabhakar teaches the practical AI development workflow behind The Ladder Academy: planning, prompting, coding, debugging, reviewing and shipping real software.
01
How to plan before asking AI to code
02
How to run Claude Code, Codex, Cursor and ChatGPT without wasting context
03
How to review AI output like an engineer, not a prompt consumer
04
How to take a project from idea to GitHub, tests, deployment and documentation
ProgramsLearn by
Learn by
building.
01
Builders Club
Weekly live build sessions, project reviews and community momentum.
₹4,999/program
private live sessions
- One new practical build every week
- Follow-along coding sessions
- Ask-anything office hours
- Templates, resources and replays
- Community project momentum
Most Popular
02
Private Builder
8 hours private mentorship to plan, build, debug and deploy a real project.
₹24,999/program
private live sessions
- 8 hours private mentorship
- Project planning and implementation
- API, database, GitHub and deployment
- Code review and debugging
- Progress tracking and resources
03
Private Sprint
4 hours private mentorship for one focused AI coding upgrade.
₹14,999/program
private live sessions
- 4 hours private mentorship
- Personal AI learning roadmap
- ChatGPT / Claude / Codex workflows
- Debugging and architecture help
- Session notes and action plan
Ready to build
with AI?
Apply for the next Ladder Academy cohort or book private mentorship. Bring one idea, one broken app, or one goal.
Live sessions · Real projects · Personal review
