AI & Product Foundations
Understand models, tokens, context and cost, then use research, personas and validation to choose a useful problem.
Self-paced AI product course · Community included
Lapaas AI Product
Engineering.
Go from a rough AI idea to a working, deployed product. Learn product research, AI-assisted full-stack development, multimodal workflows, RAG, MCP, agents, automation and launch through a framework tested live with students, now available at your pace.
Instant self-paced access · Lapaas community · GST included
Completeproduct workflow
Flexibleself-paced learning
3months access
₹2,999one-time
ClaudeCodex
Cursor
GitHub Copilot
Supabase
LangChain
n8n
GeminiThe product, not just the prompt
Learn the tools.
Master the system.
A useful AI product needs more than a model. It needs a clear user, trusted context, a working interface, data and tools, evaluation, deployment and a reason for people to keep using it. This course connects those decisions into one builder loop.
Tools will keep changing. A strong product-engineering process compounds.
01ModelsClaude · Gemini
02ContextRAG · memory
03ToolsMCP · APIs
04ProductApps · agents
The builder loop
From rough brief.
To working system.
Move through the same sequence every serious AI product needs: define the outcome, connect trusted context, build the workflow and ship something people can use.
- 01DefineProblem · outcome
- 02ConnectContext · tools
- 03BuildWorkflow · evals
- 04ShipProduct · proof
The complete product stack
From first insight
to deployed AI.
Every capability connects to the next, so you learn how a real product moves from research and interface to intelligence, infrastructure and growth.
Product Thinking & PRDs
Turn a broad idea into a focused MVP, clear user flow, business model and buildable product brief.
AI-Assisted Development
Use Claude, Codex and related coding agents to plan, build, debug and improve working software.
Full-Stack MVP Engineering
Build interfaces, APIs, databases, authentication and production flows with Supabase, Git and modern web tools.
Multimodal AI
Create connected image, video, audio, voice and avatar workflows with consistent context and direction.
RAG & Knowledge Layers
Use embeddings, retrieval and structured business knowledge to ground useful, domain-aware experiences.
MCP, APIs & Integrations
Connect AI to customer data, analytics, ads, WhatsApp and the tools where real work happens.
Agents & Automation
Design browser, voice and multi-agent workflows that research, create, test and operate with supervision.
Production, Launch & Growth
Test, secure, deploy, instrument and improve products using real feedback, analytics and commercial thinking.
One connected learning path
The whole product lifecycle.
In one course.
Prompting, coding, RAG, agents, deployment and growth only become valuable when they work together around a real user problem.
Fragmented AI learning
Tools in isolation Learn a feature · Start over for the next one- Prompt tricks without product judgment
- Code demos without users or data
- Agents without reliable workflows
- Projects that stop before deployment
Lapaas AI Product Engineering
End to end Discover · Build · Connect · Ship- Validate the problem before building
- Engineer the product across the full stack
- Add context, tools and automation deliberately
- Deploy, measure and improve with real feedback
The course is organised around durable decisions that survive tool changes: what to build, how the system should work, what to test and how to ship it.
Still watching from the sidelines?
Move from AI consumer
to product engineer.
Use the framework tested with our completed cohort, now organised as a self-paced path from product thinking to working systems.
As featured in
OutlookIndia TodayTEDEconomic TimesYourStoryInc42Forbes IndiaMint
What is AI Product Engineering?
More than prompting.
A complete builder system.
This self-paced course teaches how to discover, design, build, connect, deploy and grow an AI product. The framework was tested live with students; you can now work through it on your schedule and use the Lapaas community to ask Sahil questions as you build.
- Research users, validate demand and translate an idea into a focused MVP
- Build full-stack products with interfaces, APIs, data, authentication and AI
- Add multimodal generation, RAG, MCP integrations, agents and automation
- Test, deploy, measure and package the work for users, clients or your portfolio
Built for your goal
One program.
Three ways to win.
The same curriculum creates different leverage depending on where you start: a stronger portfolio, a leaner business, or a higher-value service offer.
Students & Freshers
Graduate with proof, not just marks.
- Build a portfolio of working AI products
- Understand the stack behind AI job descriptions
- Turn projects into case studies and demos
- Start freelancing with practical proof
Business Owners
Run leaner with AI-augmented systems.
- Automate operations, support and reporting
- Prototype tools before hiring a large team
- Own workflows instead of stacking SaaS costs
- Evaluate AI vendors from first principles
Marketers & Freelancers
Sell useful outcomes, not more hours.
- Build content and visual AI workflows
- Automate funnels and client reporting
- Add AI audits, pilots and automations
- Create repeatable service IP
Honest moment
Does this sound
like you?
You do not need more AI news. You need a sequence that turns scattered curiosity into finished work.
Watching AI move without you
You see people launching agents and products while you are still deciding where to begin.
Drowning in tutorials
You have saved fifty videos and shipped zero projects. Information is not becoming capability.
Worried your role will shrink
You can see routine work being automated but do not yet know how to move up the value chain.
Burned by shallow courses
You followed generic lessons, copied a demo and finished without anything worth showing.
Unsure what is production-grade
RAG, MCP, agents and evals sound familiar, but you have not connected them into a system.
Skipping the jobs you want
The role asks for practical AI work and your portfolio cannot yet answer the requirement.
Freelancing on low-value tasks
You are still charging for execution while clients are willing to pay for automated outcomes.
Feeling the gap widen
Every month spent only watching makes builders look further ahead. The fix is to start shipping.
After the course
Finish with assets.
Not just information.
Progress is measured through deployed work, visible thinking and a repeatable way to approach the next AI problem.
01
A portfolio of working AI products
Apps, connected workflows, automations and product systems people can open and inspect.
02
A portfolio people can inspect
Demos, architecture thinking, project decisions and practical case studies.
03
Commercially useful skills
A path from audit to pilot to retainer, grounded in real Indian business problems.
04
A reusable builder system
A method for choosing models, context, tools, evals and deployment for future projects.
The complete course path
Discover. Build.
Connect. Ship.
Follow the product in the order it should be engineered. The curriculum moves from deciding what is worth building to deploying, measuring and improving the finished system.
Discover · Product foundations
Find the right problem.
Define the right product.
Understand how modern AI works, research the market, define the user and turn a broad idea into a focused product brief with a clear value proposition.
- Models · context · cost
- Audience and demand research
- PRDs · MVP scope · business model
CREATEA validated product brief + prototype
Build · Full-stack MVP engineering
Turn the brief
into a real app.
Use AI coding agents to design interfaces, write and review code, connect APIs, structure data, add authentication and test the product across real user journeys.
- Claude · Codex · GitHub
- Frontend · backend · APIs
- Supabase · SQL · authentication
BUILDA tested, data-backed MVP
Connect · Intelligence and automation
Give the product
context and agency.
Add multimodal creation, embeddings, retrieval, business knowledge, MCP and tool-connected agents so the product can understand more and complete useful work.
- Image · video · audio · voice
- RAG · vectors · memory
- MCP · browser · agent workflows
CONNECTA grounded, tool-using AI workflow
Ship · Production, launch and growth
Deploy it.
Put it to work.
Harden the product with testing, security, structured outputs and evaluation. Deploy with the right infrastructure, instrument the funnel and use feedback to improve the offer.
- QA · security · observability
- Vercel · Docker · cloud options
- Analytics · acquisition · pricing
SHIPA deployed product + improvement plan
Inside the workflow
Eight systems.
One working product.
Each stage builds on the last, taking you from clearer product decisions to a system people can use, inspect and buy.
Discover
Build
Connect
Ship
01ThinkAI foundations, model choice and context
How models, tokens, embeddings, reasoning, context windows, memory, cost and latency affect the product decisions you make.
02PlanAudience research, validation and product strategy
Personas, keyword and competitor research, value propositions, business-model thinking, user flows, PRDs and practical MVP scoping.
03BuildAI-assisted development and full-stack apps
Design-to-code workflows, Claude and Codex, GitHub, frontend and backend architecture, APIs, Supabase, Postgres, authentication and testing.
04CreateMultimodal product and brand workflows
Reference-led image creation, video planning and generation, voice, audio, avatars and reusable skills for consistent creative output.
05GroundRAG, vectors and business knowledge
Embeddings, retrieval, ranking, domain knowledge, direct database access, memory and the trade-offs between RAG, tools and fine-tuning.
06ActMCP, integrations, agents and automation
APIs and MCP as bridges to real tools, browser and computer use, voice agents, multi-agent work, WhatsApp, analytics, ads and reusable routines.
07ShipProduction engineering and deployment
Structured outputs, validation loops, security, observability, model routing, cost and latency, browser QA, Vercel, Docker, Coolify and cloud options.
08GrowLaunch, analytics and commercial systems
Conversion pages, product analytics, SEO and content systems, paid acquisition, user feedback, pricing and packaging useful AI outcomes.
Products, not toy demos
Learn through systems
built for real work.
The course uses practical products and workflows to show how product, engineering, AI and business decisions meet.
CRM + automation
CallTrack
Agentic video
Autocut
Visual AI
Thumbnail Maker
AI product
Logoforge
Marketplace
Solopages
Vibe coding
Landing Systems
Behind the scenes
Watch a founder build
real revenue products.
These are not invented course exercises. Sahil used the cohort to unpack products he was actually building, including the decisions, trade-offs and monetisation logic behind them.
Product case 01 · Built in public
Logoforge
An AI logo-design product that turns a subjective creative brief into a usable visual direction. Follow the product decisions behind the workflow, generation experience and path from output to a product people can pay for.
Product case 02 · Built in public
Solopages
A marketplace for discovering trusted local businesses and requesting quotes directly. Follow how a broad idea becomes a focused product, from category design and search to trust and monetisation.
How the framework was developed
Tested with a real cohort.
Built for self-paced learning.
The framework was taught, questioned and applied with students before becoming this course. You now get the structured learning path, practical demonstrations and classroom questions without waiting for a batch or attending scheduled classes.
Testedwith live students
Structuredfor your own pace
Connectedthrough community
Student reviews
Listen to the people
who tested the framework.
These reviews refer to the completed live cohort that shaped today's self-paced course. They are historical student experiences, not a promise of live classes.
A
Arun Kumar ShahGoogle · Local Guide · 140 reviews
★★★★★“I joined Sahil Sir's online ‘Become an AI Builder in 30 Days’ course, and it has been an excellent learning experience. What impressed me most is that within just one week, I was able to build my own software using the AI tools.”
A
Anil KumarGoogle · 5 reviews
★★★★★“Joining this AI class has been an incredible experience! In just one week, I built a fully functional web app using Vibe Coding. We've learned so much in such a short amount of time. Highly recommended for anyone looking to level up their tech skills!”
M
Mohit AgarwalGoogle review
★★★★★“It's almost 7 years I've been following Sir, and I've joined the latest AI cohort. Honestly he gives more than he committed. The best thing: he gives you live challenges and solves new things live in front of everyone, which is unique compared to anyone. Hats off. Must go for it.”
P
Piyush SainiGoogle · Local Guide · 18 reviews
★★★★★“Knowledge shared in the classes is truly exceptional. We're learning, building and growing together on the live class.”
A
Aditya ShekhawatGoogle · 10 reviews · 5 photos
★★★★★“The newly launched AI course is real and impactful learning, highly informative. The instructor has in-depth knowledge of what he's teaching and answers all questions of students.”
L
Lovekesh GargGoogle review
★★★★★“No beating around the bush here. Sahil sir shares pure, actionable knowledge based on actual experience. If you're serious about learning, this is the place to be.”
R
Rishabh SharmaGoogle · 6 reviews
★★★★★“Following Sahil sir since late 2018 when I was in class 10th, and till now one of the most genuine creators out there. His courses are true gems!”
S
Sarit KhandareGoogle review
★★★★★“Best place to learn the latest tech. No one else is teaching in this way. It's easy to understand and enhances your vision for creativity.”
Y
Yash VermaGoogle · 4 reviews · 3 photos
★★★★★“Sahil sir's classes are good and fast-paced, something which is not common. People are selling courses; he is selling practical knowledge. Worth trying.”
A
Aaditya SinhaGoogle · 2 reviews
★★★★★“Best teacher out there. Knowledge top-notch and explained simply in his own language. Loved it. Highly recommend for marketing and AI.”
V
Vishesh ChokhaniGoogle review
★★★★★“A place where you learn things that matter.”
C
Chetan GuptaGoogle · Local Guide · 54 reviews
★★★★★“Best institute for learning AI and digital marketing.”
14
years building
businesses and teams
Your mentor · Sahil Khanna
Built by an agency owner.
Taught by an AI product engineer.
Sahil built a 150-person digital marketing agency, then redesigned it into a lean AI-augmented studio. He teaches the systems, trade-offs and practical shortcuts that come from doing the work with real businesses.
2,400+alumni
7-figureAI-augmented studio
TED · ETfeatured speaker
Economic TimesTEDIndia TodayOutlook
The learning format
A tested framework.
Now built for your pace.
This is a self-paced course, not a current live batch. The framework was first tested with students in a completed cohort, then organised so you can learn, revisit and build on your own schedule.
Start when you are ready and follow the focused lessons on your own schedule.
Follow the original curriculum in order without waiting for a class or a new batch.
Learn from the questions, decisions and fixes that surfaced while students were building.
See products and workflows Sahil developed and improved while teaching the framework.
Your pace, your schedule: there are no scheduled live classes or attendance dates. Course access starts when you join, with the learner community included.
Self-paced course · Community included
Learn at your pace.
Ask Sahil directly.
What makes this different
Connect the work.
Not just the tools.
The value is not a longer list of software. It is learning how product, engineering, intelligence, operations and growth fit together.
Product layerDisconnected learningLapaas course
Starting pointBegin with a trending toolBegin with the user, demand and problem
Product planningOften skippedResearch, validation, user flow and PRD
EngineeringCopy a standalone demoBuild frontend, backend, APIs and data together
AI contextOne oversized promptPrompting, RAG, memory, tools and domain data
Action layerStops at a chatbotMCP, browser, voice, agents and automation
ProductionDemo is treated as doneQA, security, evaluation, deployment and monitoring
GrowthLeft for another courseAnalytics, acquisition, feedback, pricing and iteration
Learning formatScattered videos and tabsOne self-paced product-engineering path
QuestionsSolve everything aloneLapaas community access to ask Sahil
Product-first
Start with the user and value before deciding which model, interface or automation to build.
System-first
Connect models, context, tools, data, evaluation and deployment as one working architecture.
Commercially grounded
Use cases, product economics and business examples reflect problems you can solve in the real market.
The commercial path
Learn the system once.
Apply it many ways.
Useful AI work starts by finding an expensive or repetitive workflow, proving a focused improvement and turning the result into a dependable product or service.
AuditFind the workflow
PilotProve the value
SystemDeploy and improve
The course teaches product and service strategy; commercial results still depend on your execution, market and customer acquisition.
See the full offer
One clear offer
AI Product Engineering.
One complete course.
A self-paced path from product discovery to full-stack AI, connected systems, production and growth, built from a framework tested live with students and supported by the Lapaas community.
₹2,999
One-time payment · GST included · 3 months access
Get course accessSecure checkout via Razorpay
Your access includes
- Complete self-paced course from product foundations through production
- Practical classroom Q&A from the completed cohort that tested the framework
- Lapaas learner community where you can contact Sahil and ask questions
- End-to-end curriculum covering product, full-stack AI, agents and launch
- Practical build patterns for products, automations and portfolio work
- Course resources organised inside the Edrilla app
- 3 months of access from activation
- Completion certificate after finishing the course requirements
This is for you if
You want to build and publish, can commit a few focused hours each week, and prefer practical systems over AI hype.
Proof of completion
Complete the course.
Keep the proof.
Finish the course requirements to receive a Lapaas AI Product Engineering completion certificate. It supports the stronger proof: products, decisions and systems you can actually show.
Completion-basedIssued after the course requirements are finished
From LapaasAcknowledges completion of the learning path
Portfolio-alignedDesigned to sit beside the practical work you create
End-to-endRepresents learning across the complete product lifecycle
Reduce the downside
30-day money-back guarantee.
Start the course, work through the opening lessons and test the learning structure. If it is not the right fit, the existing Lapaas refund policy applies within 30 days.
Read the refund policyRead this before buying
This is not
for everyone.
The self-paced course provides structure, examples, projects and community access. You still provide the attention, practice and willingness to publish imperfect work.
You want a magic prompt
AI creates leverage, but only after you understand the problem and do the repetitions.
You cannot commit focused time
Plan for several hours each week to watch, practise and finish the project work.
You only want videos to binge
The focused lessons support retention, but the value comes from building alongside them.
You want theory without shipping
This is an applied builder program. Every major concept moves toward a working artifact.
You will not show your work
A portfolio only becomes useful when other people can inspect what you made and how you think.
Common questions
Before you
begin.
Need help choosing? Message the Lapaas team and ask a specific question about the AI Product Engineering course.
Ask on WhatsAppIs this a live course?
No. This is a self-paced online course with no scheduled live classes. The framework was tested with students in a completed cohort; you can now follow it on your own schedule with course resources and community access included.
How was this course developed?
Sahil first taught and tested the framework with students, then organised it as one self-paced product-engineering course while preserving the practical builds and useful classroom questions.
How long can I access the course?
You receive 3 months of access in the Edrilla app from activation. During that window you can revisit lessons and use the included files.
I do not know coding. Can I still start?
Yes. The course starts with AI, product and development foundations before moving into full-stack apps, RAG, MCP, agents and production. You should still expect to practise and build alongside the lessons.
What exactly will I learn to build?
You will learn the workflow behind full-stack AI products, data-backed applications, multimodal experiences, RAG knowledge layers, MCP integrations, agents, automations and deployable product systems.
Where do I access the course?
The complete course is available inside the Edrilla app. Your lessons, slide decks, lab files and assignments are organised there.
Can I ask Sahil questions?
Yes. Your purchase includes access to the Lapaas learner community, where you can contact Sahil and ask questions as you work through the course.
Will I receive a certificate?
Yes. Finish the course requirements to receive a Lapaas AI Product Engineering completion certificate.
Is EMI available?
Eligible cards may show Razorpay EMI options at checkout. The full course price is ₹2,999 including GST.
Will the tools become outdated?
Individual tools change quickly. The curriculum connects them to durable ideas: product thinking, context, retrieval, tools, evaluation and deployment. Those are the parts worth learning.
One product. The complete engineering path.
Stop watching AI happen.
Ship something useful.
Self-paced course · Community access · 3 months · ₹2,999
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