Build with AI — Course

Content

BUILD WITH AI.

FROM AI USER TO AI BUILDER

Get ahead in the AI shift. Master the practical framework to turn business problems into live AI solutions.

LIVE · HANDS-ON · MENTOR-LED

₹19,999 · ₹30,000

PROMPT

→ MODEL

→ API

→ CODE

→ APP

→ DEPLOY

BUILD WITH AI.

FROM AI USER TO AI BUILDER

Get ahead in the AI shift. Master the practical framework to turn business problems into live AI solutions.

LIVE · HANDS-ON · MENTOR-LED

₹19,999 . ₹30,000

PROMPT

→ MODEL

→ API

→ CODE

→ APP

→ DEPLOY

LEARNER PROOF

Practical learning, backed by real experiences.

THE SHIFT

AI is changing the way we work. The next step is learning to build with it.

AI User

Uses ready-made AI tools
Writes prompts
Consumes AI outputs
Depends on existing applications

→

AI Builder

Understands how AI applications work
Works with AI APIs
Builds practical applications
Connects AI to data, documents and tools
Experiments, deploys and improves

AI has dramatically narrowed the gap between having an idea and making it real.

TOOLS & TECHNOLOGIES

Tools you will use to build with AI

Tools are the means. Building useful solutions is the goal.

GitHub

VS Code

Streamlit

Vercel

Python

Supabase

Chatgpt

Claude / Anthropic

WHO IT IS FOR

Is this for you?

This is designed for professionals who want to move beyond prompting and learn how to use AI to create practical solutions for their work.

Already use ChatGPT or other AI tools
Want to go beyond prompting
Want to understand what happens behind AI applications
Want to build practical AI-powered solutions
Want to experiment with AI APIs and development tools
Want to add AI capability to existing professional skills

You don't need to be a developer. You do need curiosity and a willingness to experiment.

Curriculum

Understand. Build. Experiment. Share.

Twelve weekends, one framework. Every week ends with something real you built yourself — not a slide.

12Weeks, weekends only

48hLive, hands-on time

W1Your first live app ships

1Deployed capstone + certificate

01 —UNDERSTAND

Weeks 1–3. Learn the concepts, set up your tools, ship your first live app.

02 —BUILD

Weeks 4–6. Turn your idea into a real, working prototype.

03 —EXPERIMENT

Weeks 7–9. Add your own data, automation, and a first agentic feature.

04 —SHARE

Weeks 10–12. Harden it, deploy it live, and demo it to the world.

01 — Understand

W1 From Consumer to Builder Live app ▾

Connect the dots between idea and deployment, mapped to things you already know. Then set up your AI builder toolchain and ship a working app, live, by Sunday.

W2 Spec-Driven Thinking Project spec ▾

Turn a rough idea into a clear build plan — problem, users, inputs, outputs, edge cases. Draft the full spec for your own capstone project.

W3 Tool Selection & Scaffolding Scaffolded project ▾

Choose the right stack for your project, and let your AI agent scaffold the structure from your spec. First commit, version-controlled on GitHub.

02 — Build

W4 AI-Assisted UI Working prototype ▾

Turn your spec into a real, interactive interface — generated and wired up with AI, running live on your machine.

W5 Application Logic End-to-end logic ▾

Connect inputs to real, working logic. Learn to direct an AI coding agent — and how to review what it writes, not just accept it.

W6 Debugging Without the Panic Battle-tested build ▾

Read real error logs, feed them back to your AI agent, and fix issues fast. A hands-on "break it, then fix it" session with your cohort.

03 — Experiment

W7 Connect Your Own Data Q&A over your data ▾

Add a feature that answers questions over your own private documents or datasets — no linear algebra required.

W8 Automation & Real Actions Live workflow ▾

Give your app the ability to act, not just answer — connect it to a real external tool like Sheets, Slack, or email.

W9 A First Taste of Agentic AI Agentic feature ▾

Learn what actually makes something an "agent" versus a simple automation. Build one small, safe agent feature into your capstone, with human-approval built in.

04 — Share

W10 Reliability & Guardrails Hardened build ▾

Add input validation, error handling, and cost/safety guardrails — the habits that separate a demo from something production-ready.

W11 Real Deployment Live public URL ▾

Move from your laptop to a properly live URL — handling secrets, environment variables, and real deployment configuration.

W12 Demo Day Certificate + portfolio ▾

Final peer review and pitch framing, then a live demo of your finished project — problem, architecture, demo, and real-world impact.

Built with your own AI coding agent, deployed to a real URL, presented on Demo Day.

Curriculum

Understand. Build. Experiment. Share.

Twelve weekends, one framework. Every week ends with something real you built yourself — not a slide.

12Weeks, weekends only

48hLive, hands-on time

W1Your first live app ships

1Deployed capstone + certificate

01 —UNDERSTAND

Weeks 1–3. Learn the concepts, set up your tools, ship your first live app.

02 —BUILD

Weeks 4–6. Turn your idea into a real, working prototype.

03 —EXPERIMENT

Weeks 7–9. Add your own data, automation, and a first agentic feature.

04 —SHARE

Weeks 10–12. Harden it, deploy it live, and demo it to the world.

01 — Understand

W1 From Consumer to Builder Live app ▾

Connect the dots between idea and deployment, mapped to things you already know. Then set up your AI builder toolchain and ship a working app, live, by Sunday.

W2 Spec-Driven Thinking Project spec ▾

Turn a rough idea into a clear build plan — problem, users, inputs, outputs, edge cases. Draft the full spec for your own capstone project.

W3 Tool Selection & Scaffolding Scaffolded project ▾

Choose the right stack for your project, and let your AI agent scaffold the structure from your spec. First commit, version-controlled on GitHub.

02 — Build

W4 AI-Assisted UI Working prototype ▾

Turn your spec into a real, interactive interface — generated and wired up with AI, running live on your machine.

W5 Application Logic End-to-end logic ▾

Connect inputs to real, working logic. Learn to direct an AI coding agent — and how to review what it writes, not just accept it.

W6 Debugging Without the Panic Battle-tested build ▾

Read real error logs, feed them back to your AI agent, and fix issues fast. A hands-on "break it, then fix it" session with your cohort.

03 — Experiment

W7 Connect Your Own Data Q&A over your data ▾

Add a feature that answers questions over your own private documents or datasets — no linear algebra required.

W8 Automation & Real Actions Live workflow ▾

Give your app the ability to act, not just answer — connect it to a real external tool like Sheets, Slack, or email.

W9 A First Taste of Agentic AI Agentic feature ▾

Learn what actually makes something an "agent" versus a simple automation. Build one small, safe agent feature into your capstone, with human-approval built in.

04 — Share

W10 Reliability & Guardrails Hardened build ▾

Add input validation, error handling, and cost/safety guardrails — the habits that separate a demo from something production-ready.

W11 Real Deployment Live public URL ▾

Move from your laptop to a properly live URL — handling secrets, environment variables, and real deployment configuration.

W12 Demo Day Certificate + portfolio ▾

Final peer review and pitch framing, then a live demo of your finished project — problem, architecture, demo, and real-world impact.

Built with your own AI coding agent, deployed to a real URL, presented on Demo Day.

WHY KLAYMATRIX

Learn from a practitioner, not just a course library.

Klaymatrix brings together years of experience in Data, Analytics, Consulting and Training. The goal is not simply to teach AI concepts, but to help professionals understand where AI fits into real work and how to turn ideas into working solutions.

20+ yrs training exp.
10K+ professionals trained
Corporate Upskilling
Academic training

20+ yrs training exp.

10K+ professionals trained

Corporate Upskilling

Academic training

COMMON QUESTIONS

Questions before you join?

No. The program is designed for professionals with different levels of technical experience. You don’t need to be a developer to participate.

Answer

Do I need coding experience?

Question

No. The program is designed for professionals with different levels of technical experience. You don’t need to be a developer to participate.

Answer

Do I need coding experience?

Question

No. The focus is on learning how AI can be applied to real work, workflows and problems. Technical participants can go deeper into building and integrating solutions.

Answer

Is this only for technical professionals?

Question

No. The focus is on learning how AI can be applied to real work, workflows and problems. Technical participants can go deeper into building and integrating solutions.

Answer

Is this only for technical professionals?

Question

No. Build with AI is being designed as a live, hands-on, mentor-led program. However, each session would be recorded and would be available through our dedicated LMS website.

Answer

Will this be a recorded course?

Question

No. Build with AI is being designed as a live, hands-on, mentor-led program. However, each session would be recorded and would be available through our dedicated LMS website.

Answer

Will this be a recorded course?

Question

No. You can come with an idea, a work problem, or simply curiosity. The first batch will help participants identify practical opportunities to build.

Answer

Do I need to already have an AI project idea?

Question

No. You can come with an idea, a work problem, or simply curiosity. The first batch will help participants identify practical opportunities to build.

Answer

Do I need to already have an AI project idea?

Question

The exact projects will be shaped around the first batch. The program will explore how to use AI with APIs, data, tools and workflows to create practical solutions.

Answer

What will we actually build?

Question

The exact projects will be shaped around the first batch. The program will explore how to use AI with APIs, data, tools and workflows to create practical solutions.

Answer

What will we actually build?

Question

The batch will start around October 2026 depending on the cohort

Answer

When does the first batch start?

Question

The batch will start around October 2026 depending on the cohort

Answer

When does the first batch start?

Question