Start with Real Problems
Learn to identify business challenges, spot high-value AI use cases, and build solutions that create value.
Learn AI by applying it to real business problems, building products, and shipping solutions.
Learn to identify business challenges, spot high-value AI use cases, and build solutions that create value.
Turn learning into working AI solutions. Build, deploy, and improve real projects every term through 50+ hands-on workshops.
Graduate with deployed projects and demonstrable skills that show you can deliver in AI-first roles.
AI is no longer a skill you add to your resume. It’s the baseline. I believe AI will create more jobs than it displaces, especially in AI-native startups where small teams can do what once took hundreds. But these companies need people who can build, not just manage. At Mesa, every student learns to build with AI, solve real problems, and turn ideas into action — regardless of their background.
– Varun Limaye Co-founder, Mesa School of Business
Spot real business problems, understand customers and identify where AI can create meaningful value.
Go beyond prompts to build, automate and deploy AI agents that solve real-world business problems.
Take an idea from concept to a working AI product, with real users and feedback.
Use AI to improve workflows, save time, reduce costs and demonstrate tangible business outcomes.
Apply AI to marketing, sales, operations or product, developing skills aligned with your career goals.
Walk away with a portfolio of working AI agents and products you can showcase to employers.
Your AI learning journey is shaped by your baseline assessment, experience, and target role—so you build the skills and solutions most relevant to your goals.
Term 1 · Both tracks
The same starting point for every student.
A baseline assessment at the end of Term 1 decides your trackYou will be able to
For professionals looking to bring AI into their functional roles. Build AI fluency, automate workflows, and create simple tools to work smarter.
Built on no-code tools like n8n, Make.com, Zapier and Lovable — no coding needed.Term 2: Workflow automation and agents. Automate real processes with AI agents.
You will learn
You will build
Term 3: From pilot to full rollout. Take an AI pilot to rollout and prove it was worth it.
You will learn
You will build
Term 4: Integrate AI inside products. Think in AI features and tell the ROI story.
You will learn
You will build
Potential roles · AI-first roles in
Sales/Marketing/Operations/Supply Chain/GTM
For professionals targeting AI-native roles across product, engineering, automation, growth, and GTM. Go deeper into AI architecture and ship real-world AI products.
Term 2: Agentic systems. Architect and run multi-agent workflows.
You will learn
You will build
Term 3: Evals, metrics and GTM. Prove quality and take AI products to market.
You will learn
You will build
Term 4: Ship and scale. Integrate, monitor and ship a real product.
You will learn
You will build
Potential roles
AI Generalist/Product Builder/Automation Lead/AI PM/FDE/GTM Engineer/Growth Engineer
Real problems. Real users. Real impact.
Students analyse what AI intervention was made, whether it was the right one, and what they would have done differently.
Solve an operator’s problem in 2–4 weeks and present it back.
Build a working solution with a business case, not a deck.
Build a live GTM system for an AI founder, every term.
Scope and prototype an AI feature for a real product.
Put your build in front of real users and report what broke.
Show how your build can make money.
TechAI Solution Engineer
FresherAI Generalist
FresherGTM Engineering
SDETech Product Manager
DentistGrowth & Marketing
ArchitectureAI Founder’s Office
OperationsAI Generalist
DevOpsAI Special Projects
Category ManagerGTM Engineer
TechAI PM
SalesFounder’s Office
PartnershipsFounder’s Office
BDForward Deployed Manager
FinanceFounder’s Office
CategoryAI Product Manager
For those looking to move closer to technology and transition into AI-first roles. Build and deploy a real AI product, test it with real users, measure its impact, and develop a business model to monetise it—creating proof of work for your next role.
Judged at the AI Showcase by outside founders and operators
Pick a problem you have seen yourself: at work, in an internship, in your BSL project.
Design the workflow, add a simple front end and a database.
Deploy it as a live link anyone can open.
Find real users. Report what worked, what broke, how many used it.
Work out how it could earn, and present the business model.
Every term, founders and operators unpack real AI products, sharing how they’re built, deployed, and scaled.
See how a live AI product really works, and what broke.
Tear down a real AI product’s stack and moat.
Build a working voice agent, from speech-to-text to speech.
Position and sell an AI product the AI-native way.
Handle AI objections and run a POC that closes.
Find where AI is creating roles in finance, health, legal, ops and more.
Operators who build with AI every day run the workshops, sit in on hackathons and judge the AI Showcase.
Explore workshopsFounder, BlitzAI
AI expertise
AI & Analytics Consultant with experience in applied AI and analytics; associated with IIM Bangalore.
Head of AI Research, Domyn
AI expertise
Leads financial AI research and mentors learners in Generative AI, LLMs, and machine learning.
Seasoned AI Practitioner
AI expertise
Works with LLMs, conversational AI, and AI security, with experience exploring frontier AI technologies.
AI & GenAI Product Leader, Haleon
AI expertise
Builds and scales AI-powered products, from early-stage innovation to enterprise-level deployment.
Product Manager & GTM Lead, Zivy
AI expertise
Builds technology products and supports AI founders through buildathons, product demos, and builder communities.
Business & Growth Operator, Lokal
AI expertise
Teaches practical applications of AI in business, growth, and operational decision-making.
Product Lead, Grapevine
AI expertise
Built AI-powered hiring products, including a job discovery agent that reached 100K users.
Founder & Chief Architect, 302Labs
AI expertise
Builds AI-powered business automation systems and has delivered AI training at Mesa School of Business and IIM Bangalore's NSRCEL.
Data & Applied Scientist, Microsoft
AI expertise
Builds production-scale AI/ML solutions and award-winning AI agents, including an AI education copilot.
AI Product Manager, Swiggy
AI expertise
Builds enterprise GenAI products and agentic AI workflows for large-scale business operations.
Learn to apply AI where it matters most—in your role. Solve real functional problems by building AI-powered workflows and tools you can use on the job.
Workshop · Sales
ProblemSuperset needs an automated system to generate and qualify leads for acquiring business schools (UG/PG) across India, focusing on placements. Manual lead generation and qualification are too slow and inefficient.
Workshop · Sales
ProblemFounders lack a clear go-to-market plan for each segment.
Workshop · Marketing
ProblemBrands struggle to quickly process and act on customer feedback across multiple platforms (e.g., Amazon, Trustpilot, D2C websites). Identifying key sentiment trends and actionable insights from massive volumes of reviews is time-consuming and often inaccurate when done manually.
Workshop · Marketing
ProblemCreating daily push notification copies for multiple cohorts is time-consuming (~35 man-hours/day) and limits performance optimization because copies are often not aligned with past campaign data.
Workshop · Marketing
ProblemThis workshop will teach you how to build an end-to-end automation that converts product page images → auto-generated product videos using n8n, Firecrawl, and Gemini Veo.
Workshop · Tools
ProblemCall centres can’t answer every customer call in time.
Workshop · Tools
ProblemNon-engineers struggle to turn ideas into working code.
Workshop · Tools
ProblemSimple internal tools take weeks to get built.
Workshop · Tools
ProblemRepetitive team tasks eat time across tools like ClickUp.
Workshop · Tools
ProblemShipping and deploying small apps feels out of reach.
Workshop · Customer Success
ProblemSupport teams take days to investigate fraud complaints.
Workshop · Operations
ProblemFinance teams key in invoice data by hand, with errors.
Workshop · Product
ProblemCustomers want instant answers on WhatsApp, not email.
Workshop · Finance
ProblemMonthly reporting eats days of manual spreadsheet work.
Workshop · Sales
ProblemSuperset needs an automated system to generate and qualify leads for acquiring business schools (UG/PG) across India, focusing on placements. Manual lead generation and qualification are too slow and inefficient.
Workshop · Sales
ProblemFounders lack a clear go-to-market plan for each segment.
Workshop · Marketing
ProblemBrands struggle to quickly process and act on customer feedback across multiple platforms (e.g., Amazon, Trustpilot, D2C websites). Identifying key sentiment trends and actionable insights from massive volumes of reviews is time-consuming and often inaccurate when done manually.
Workshop · Marketing
ProblemCreating daily push notification copies for multiple cohorts is time-consuming (~35 man-hours/day) and limits performance optimization because copies are often not aligned with past campaign data.
Workshop · Marketing
ProblemThis workshop will teach you how to build an end-to-end automation that converts product page images → auto-generated product videos using n8n, Firecrawl, and Gemini Veo.
Workshop · Customer Success
ProblemSupport teams take days to investigate fraud complaints.
Workshop · Operations
ProblemFinance teams key in invoice data by hand, with errors.
Workshop · Product
ProblemCustomers want instant answers on WhatsApp, not email.
Workshop · Finance
ProblemMonthly reporting eats days of manual spreadsheet work.
Workshop · Tools
ProblemCall centres can’t answer every customer call in time.
Workshop · Tools
ProblemNon-engineers struggle to turn ideas into working code.
Workshop · Tools
ProblemSimple internal tools take weeks to get built.
Workshop · Tools
ProblemRepetitive team tasks eat time across tools like ClickUp.
Workshop · Tools
ProblemShipping and deploying small apps feels out of reach.
Students work on real business challenges from startups, developing solutions that operators can put into action.
Answers team questions in Slack using the company’s own docs and past threads.
Gives ops teams instant answers on any transaction, without digging through tools.
Answers customers’ card and visa questions, around the clock.
Matches invoices to payments automatically and flags only the mismatches.
Spots customers likely to churn and triggers a win-back message.
Picks up complaints on social media and routes them to the right team.
Matches volunteers to opportunities by skills, interests and availability.
Creates investment content tailored to each member’s interests.
Lets counsellors practise sessions with realistic simulated clients.
Reads thousands of food reviews and surfaces what customers love and hate.
Predicts SKU demand by store so dark stores restock before they run out.
Consolidates scattered data and turns it into insights teams can act on.
Lyzr AIUbonaReo.DevMagppieFlosyncNuggetNurixKorrAI
Tradl AIBluecopaZyLabs
Ctruh
Humantic AI
Passionfruit
SolarSquareAiStudioModveonRingg AINo. Term 1 is shared and starts from the basics of AI, ML and LLMs. Python and SQL are built up in the Advanced track from Term 2.
A baseline assessment at the end of Term 1 places each student. The Beginner track is for functional roles that are not AI-centric. The Advanced track is for AI-centric roles such as AI PM, Forward Deployed Engineer, GTM Engineer and Growth Engineer.
Building. Every build is deployed as a live link, and the AI Building Test at the end of each term is practical, not theory.
Claude, ChatGPT and Perplexity; n8n, Make.com and Zapier for automation; Claude Code, Cursor and Lovable for building; Vapi and ElevenLabs for voice. We go deep on a few and show the rest for comparison. The stack is reviewed each cohort.
Practicing operators who build with AI. A business mentor and a technical mentor attend every workshop and hackathon, and outside founders judge the AI Showcase each term.
AI Generalist, GTM and Growth Engineer, AI Product Manager, Founder's Office, Forward Deployed Engineer, sales and customer success roles at AI-native companies.
An AI Building Test every term, a baseline assessment after Term 1, and an AI Showcase each term. Credits depend on attendance and submissions.
