This is not a course you watch. Every session ends with something you built, and every week adds a chapter to your AI Playbook. Twelve weeks on one real problem from your own job. You leave with 33 capstones, a personal AI stack, a working assistant, automation, agent and app, and a 90-day roadmap ready for Monday morning. Every tool you need is included.
5.0 on Google·Read what the teams we've trained say
Accelerate what takes too long. Augment what you are already excellent at. Automate what should never have needed a human.
Thirty-three capstones built from your actual job, running before the programme ends, and yours to keep compounding afterwards.
of AI tools purchased by organisations are underused or abandoned within 90 days, not because of the technology, but because people were never shown how to think with it.
average productivity uplift for professionals who build a personal AI stack and integrate it into their daily workflow, versus those who use AI ad hoc.
capstones you leave with, one from every live session. Not slides, not theory. Working tools, automations, agents and apps you will actually use.
The Promise
Most AI training shows you a list of tools. We do something different. We shift the way you think, so when the next tool drops, you already know how to evaluate it, adopt it, and stay ahead entirely on your own.
We teach you to audit, test, and adopt, not just install. Most professionals collect tools. Our graduates use them. The difference is a mental model for evaluating fit, not just following a list.
You leave with a stack built around your role, your habits, and your goals. From Week 6 your Studio sessions run in your function, Finance, HR, Sales & Marketing, Operations, or Tech, and Week 11 is all yours.
AI moves fast. The professionals who thrive are not the ones who take the most courses, they are the ones who can evaluate new tools themselves. That mental model is what you leave with here.
Who This Is For
Passive AI curiosity to active AI capability. No technical background required, only a willingness to build something every single day.
Programme Outcomes
Participants who complete the full cohort leave with six distinct, deployable outcomes, not certificates of attendance, but real capability shifts.
Use AI across text, voice, image, and code, without needing a technical team. You operate independently across all modalities.
Claude Code, Obsidian, Wispr Flow, Motion, plus access to Cocoon's curated library of 1,000+ tools across 40 categories, fully configured for your workflow.
Not just tool knowledge, the mental model to evaluate, adopt, and stay ahead as AI keeps evolving. Independent of any programme, indefinitely.
One finished capstone from every live session, gathered into an AI Playbook: an assistant, automations, an agent and a live app, presented with measured results at Demo Day.
Deep capability in the tools and workflows of your function. Track work starts in Week 6 and takes over Week 11: HR, Finance, Sales & Marketing, Operations, or Tech.
A personal implementation plan, peer-reviewed and ready to execute from Monday morning. Quick wins, habit formation, and a 90-day scaling plan structured and specific to your role.
The Transformation
This isn't faster typing. It's a different operating capacity. Here's what changes for our graduates, measured, not promised.
Not "someone who took an AI course." A professional the market is actively hiring for.
Handle 5× the volume without adding headcount. Reporting, routing, and ops run themselves while you focus on decisions.
Take an idea to a working prototype in a fraction of the time, validate, build, and ship without waiting on a dev team.
Run a full brand & content engine solo, radically more output, brand quality held, at a fraction of a full team's cost.
The Core Stack
Every participant sets up an anchor stack in Week 0, the operating system that runs beneath everything else in the programme, and long after it ends. The four below are just one example; you'll build your own from our directory of 1,000+ tools, configured to your role and workflow.
Write, debug, and deploy code without a developer background. Build automations, applications, and scripts through conversation. Your technical ceiling just disappeared.
Your personal knowledge base. Every prompt, workflow, and capstone is documented and searchable. Linked to your AI context so nothing you learn is ever lost.
Capture ideas, notes, and prompts hands-free, anywhere. Turns your voice into structured text across every application you use. Thinking out loud becomes an output.
AI-powered calendar and task management. Your schedule plans itself around your priorities. Stop managing your calendar. Let it manage you.
This is just an example stack. Explore the full library and build the one that fits you.
Build Your Own Stack, Browse 1,000+ Tools →Curriculum
Three weeks of foundations, seven weeks of building, one week in your track, then Demo Day. Every session is a Teach, a Studio or a Crit and ends with a capstone, and every week writes a chapter of your AI Playbook. Before Week 1 comes Week 0: your AI readiness baseline, your tool credits switched on, accounts set up, and your pod of five.
Before any tool, the thinking. You learn how AI-native professionals work, map where your hours actually go, and choose the one real Work Problem you will carry all the way to Demo Day. You also meet your pod of five.
THE QUESTIONWhere does your week go, and which parts should a machine be doing?
Your Week 0 readiness score read line by line, with three commitments for the next twelve weeks.
A map of your top ten weekly tasks, built in the Cocoon Workflow Mapper, each scored for AI fit.
Your Work Problem statement with a measured baseline, signed off by your pod.
Fluency starts here. You learn how language models work, just enough to direct them, and a prompt structure that holds up whatever the model of the month is. Then the most underrated skill in AI: checking the output before anyone else sees it.
THE QUESTIONHow do you get the answer you need, and how do you know it is right?
One real task from your work map run on three models, with a note on which won and why.
A personal prompt library of ten reusable prompts for your role.
Your prompt library, stress-tested by your pod, with a verification checklist attached.
The operating system under everything else. You choose your stack on purpose and on a budget, then build a second brain that remembers your work so AI can use it. By the end of the week the stack is live and running your days.
THE QUESTIONWhich tools earn a place in your day, and which are just noise?
Your stack on one page: each tool, its job, its monthly cost, and what it replaced.
A working second brain with your first twenty notes, a meeting summary and a voice memo inside.
Stack Live: your personal AI system configured and in daily use, shown to the room.
AI beyond the text box. You use voice, images, documents and meetings as inputs, then build an assistant that knows your company's documents and answers like a colleague who has read every one of them.
THE QUESTIONWhat would change if AI knew everything your team has written down?
A five-minute voice memo turned into a structured two-page brief, using AI alone.
A custom assistant for your role, loaded with your documents and answering real questions.
Your assistant's scorecard, before and after the fixes.
Every professional communicates for a living. This week you make on-brand images, video, voice and decks without a design team, and finish with a 60-second video ad for your company or your Work Problem. At the end of the week you pick your track.
THE QUESTIONCan you make work that looks like a whole team made it?
Five on-brand visuals for a real piece of work, made in Cocoon Studio.
A finished 60-second AI-made video ad.
Your ad, screened and improved, plus a five-slide deck on your Work Problem.
The shift from doing the work to designing it. You learn the logic every automation tool shares, build flows that move data between your apps, and put AI steps inside them. From this week, every Studio session runs in your track.
THE QUESTIONWhich task should never need you again?
Three automations built in the Automation Lab, from a simple flow to a branching one.
A live automation that saves you at least thirty minutes a week, tested on real data.
Your automation, reviewed by a practitioner, with the time saved recorded in your Playbook.
How AI reaches into the rest of your work. You learn what an API is by calling one, connect AI to your own tools with MCP, and build an agent that works through a task on its own, with you approving the steps that matter.
THE QUESTIONWhat could a digital colleague do for you while you sleep?
An assistant connected to two of your own tools through MCP.
A working agent that handles one recurring task in your track from start to finish.
Your agent with approval points added, its cost per run, and a pass on your pod's test cases.
The week professionals become builders. You write a one-page product spec, build a working web app with AI, and publish it at a public link. No developer needed, and nothing you build is a mock-up.
THE QUESTIONWhat tool does your team wish existed?
A one-page spec for an app that serves your Work Problem.
A working first version of your app, with real data in it.
Your app live at a public link, with notes from five test users.
AI as your analyst and researcher. You question your own spreadsheets in plain language, build a report that writes itself, and produce cited research you can defend in a meeting. Then you rehearse a decision before you make it.
THE QUESTIONWhich decision would you make differently with better evidence?
An analysis of a real dataset from your work, with three findings and how you checked each one.
A live dashboard or weekly report for your function, wired to real data.
A cited research brief and a decision memo for a real choice at work.
Using AI at work means using it safely. You learn what data must never go into a tool, how prompt injection hijacks assistants and agents, and how enterprise AI differs from the free version. Then you write the policy your team is missing.
THE QUESTIONWhat could go wrong, and who would be accountable?
A red-team of your own assistant or agent: three attacks tried, results logged, fixes made.
An AI usage policy for your team, drafted with the Cocoon AI Policy Generator and adapted to your track.
A Braintrust-approved capstone plan, with its risk register.
The whole week runs in your track: HR, Finance, Sales and Marketing, Operations, or Tech. You combine your assistant, automation, agent and app into one solution for your Work Problem, measure it against your Week 1 baseline, and rehearse it.
THE QUESTIONIs your Work Problem solved, and can you prove it?
Your capstone design: which assistant, automation, agent and app, and how they connect.
Your finished capstone, measured, with a 90-day roadmap.
A rehearsed Demo Day presentation, and your exit readiness score next to your baseline.
Twelve weeks, one room. Each professional presents their Work Problem from baseline to working solution, with proof, the way you would present to a leadership team. The room includes the trainers, your cohort and invited guests.
THE QUESTIONDid you solve a real problem at work, and can you show it?
Live feedback from the panel, your cohort and invited guests.
33 capstones and a case study you can show your manager the next morning.
Your Cocoon AI for Professionals certificate, awarded on the day.
How It Works
One Work Problem, one AI Playbook and one rubric (problem, build, impact, safety, adoption) from Week 0 to Demo Day, with real critique every single week and nothing lost if you miss a session.
Tools Included
Every tool the programme uses is provided by Cocoon for the whole twelve weeks. No subscriptions to buy, no card to add, no surprise costs halfway through. Your fee covers the training; Cocoon covers the toolkit.
Image, video, voice, design, editing and transcription tools in Cocoon Studio, ready from Week 0.
Leading image, video and audio models from labs around the world, on free credits Cocoon gives you.
The hands-on practice tools we built for our own cohorts, each mapped to the week that uses it.
Nothing beyond the training fee. The stack-budget guide in Week 3 is for afterwards, when you choose what to keep.
Most courses hand you slides. You get the labs we built for our own cohorts, each one mapped to the week that uses it, and free to keep using after Demo Day.
Domain Tracks
You choose your track at the end of Week 5, once you have seen what each one builds. From Week 6 every Studio session applies the week's skill to your function's real work, and Week 11 runs entirely in your track.
HR professionals, people operations teams, and talent leaders
Finance teams, accountants, analysts, and CFOs
Marketers, brand managers, content teams, and growth leads
Operations managers, supply chain teams, and process owners
Software developers, data teams, IT professionals, and technical leads
Your Track, Week by Week
No separate add-on to buy. Your track is built into the programme: from Week 6, each week's Studio session is applied to your function, with the real tools your role uses. Claude Code anchors every track as your universal AI workhorse; the rest of the stack is role-specific. Pick yours to see what you build each week.
For HR managers, people-ops, and talent and L&D leaders. From Week 6 every Studio session is built on people work.
One live HR workflow, such as AI-assisted screening or an onboarding agent, with its prompt set, a bias-audit plan and a one-page governance policy.
For FP&A analysts, accountants, controllers and CFOs who own reporting, close and forecasting.
A governed AI workflow that drafts your monthly variance and MIS pack from real data, with an audit trail and human sign-off.
For marketers, brand and content teams, growth leads and SDRs who own pipeline and demand.
A live AI-built campaign: search-ready content, an AI video ad, and an agent-run outbound sequence wired to your CRM, with a pre-publish check.
For operations managers, supply-chain teams, process owners and COOs running real operational workflows.
One production operations workflow with human approvals, a monitoring dashboard, and documented time or cost saved on your most expensive process.
For developers, data engineers, IT and technical leads adopting agentic coding in real codebases.
One production feature built with agents, with evals, guardrails and an observability dashboard, plus a 90-day plan to roll agentic coding out across your team.
Every trainer in this cohort is an operator who uses AI to ship real work dailyfounders, engineers, marketers, and transformation leaders from across the region. You won't get theory from academics. You'll get what actually works, from people doing it right now.
Founder, Cocoon · Head of Growth, Vector
Founder of Cocoon and co-founder of Buildin Blocks, driving growth and AI adoption across the region.
Lead Project Manager, Octave, John Keells Group
Driving digital and AI-led project delivery at John Keells Group's data & analytics arm.
View LinkedIn →
Software Architect, CodeGen
Engineering leader overseeing AI Labs, Enterprise AI, agentic platforms, RAG solutions & GenAI delivery.
View LinkedIn →
CEO & Founder, ABSOLX CORE AI
AI Engineer & Researcher building defense AI, MEGHA UAV & HPC systems, SOUL, ARC OS.
View LinkedIn →
Head of Operations, Oceans
Product marketing, project management & business development leader driving client growth.
View LinkedIn →
Assistant Manager, Brand, Wavenet · Lecturer, AMDT
Brand strategy, AI for brands & tech marketing, creative lead and product marketer.
View LinkedIn →
Founder & CEO, Paralox Media
AI solutions development, AI consulting & training for brands building AI-powered systems.
View LinkedIn →
Senior Executive, Digital Transformation, MAS KREEDA
RPA developer specialising in Microsoft Power Platform & MS Office Scripts automation.
View LinkedIn →
Head of Agentic AI, MAS Holdings
Leads agentic AI at MAS Holdings, driving AI & automation adoption across the group.
View LinkedIn →
Founder, Mira AI · Former Director of HR, Boardpac
Building Mira, an AI HR operations executive and AI employee for HR teams.
View LinkedIn →
Founder, Cravix · Exited Browser Bird
Helping 37+ businesses across the USA, UK & Europe save 3,000+ hours a year through full-code & AI automation.
View LinkedIn →Founder, Zuu Crew AI · Head of AI, Veracity
AI lead & educator building zuucrew.ai & talentsync.ai, 2,500+ engineers trained worldwide.
View LinkedIn →
Co-founder & CEO, Buildin Blocks
Chartered marketer helping brands scale with digital strategies.
View LinkedIn →
Founder, Linkify · GTM Specialist, Oceans
Global SaaS Top 200, GTM & product marketing, AI & SaaS, LinkedIn growth.
View LinkedIn →
Co-founder & Instructor, The AI Internship · Senior AI Consultant, United Nations
Teaching a million+ to master AI, building production-grade AI systems and upskilling teams to ship in weeks, not quarters.
View LinkedIn →
Co-founder & CEO, Boring Host AI
Building Boring Host AI, making AI infrastructure simple, reliable, and effortless to deploy.
View LinkedIn →
Co-founder & CTO, Boring Host AI
Technical co-founder building the engineering behind Boring Host AI's deployment platform.
View LinkedIn →
Head of AI, AIGP · MBBS turned AI Lead
GenAI lead & agentic engineering specialist, agentic memory & agent harness designer, dLLM enthusiast.
View LinkedIn →Associate Tech Lead, AI/ML, Gapstars
AI/ML engineering lead building production machine learning systems.
View LinkedIn →
Principal Software Engineer, ExpressVPN
Principal engineer building secure, large-scale systems at one of the world's leading VPN providers.
View LinkedIn →
Associate Lead, IAM & Cyber Security, Sysco LABS Sri Lanka
Identity & access management and cyber security specialist, MSc Cyber Security, CCNA, Azure, ITIL 4.
View LinkedIn →
Business Development, Spectrify AI · Co-Founder, Tank Sudda
Full-stack developer (React, Java, Flutter) working across startups, AI & Web3, tech speaker and professional compère.
View LinkedIn →
Senior Brand Manager, Dialog Axiata · Former Brand Manager, Phoenix Industries
Brand strategist and marketing leader shaping one of Sri Lanka's biggest telco brands, using AI to sharpen brand and campaign work.
View LinkedIn →We introduce you to the full AI ecosystem, 1,000+ tools across 40 categories. You pick the ones that fit your domain, your workflow, and your career. Your AI stack. Your rules.
Explore the Directory →In Their Words
Reviews from leaders whose teams trained with Cocoon, as they posted them on Google. The same trainers and the same hands-on method run this cohort.
With AI evolving so quickly, I would definitely have my team train with them again.
We had a great experience working with Ammar and his team of experts at Cocoon Training a few months ago, as our team explored how to use AI more effectively in our everyday work.
As a digital strategy agency, we wanted to understand how AI could help us strengthen our research and planning, work more thoroughly, and build agents to support recurring tasks. We also wanted to explore generative AI more deeply and understand how to create content that serves different objectives, from advertising to audience engagement, while staying relevant to each brand.
Ammar and his team delivered a really valuable training programme. Their depth of knowledge, practical guidance and the tools they gave us access to were especially helpful in understanding how we could apply what we were learning to our own work.
There is always more to learn, and having knowledgeable people help us navigate those changes makes a real difference.
Their sessions are well structured, engaging, and focused on real-world use cases.
Cocoon brings a practical approach to AI, particularly in the creative space. Ammar and his team are professional and knowledgeable, offering valuable insights into the role of AI in the creative industry.
Recommended for teams looking to explore AI in their creative workflows. Wishing Ammar and the entire Cocoon team continued growth and success!
In the Room
Cocoon designs and teaches the Applied AI cohort at BuildrLabs in Colombo: Saturday cohorts of working professionals building with AI, with practitioners in the room for HR, security, ethics and enterprise AI. Everything we learned in those rooms went into this twelve-week programme.
Twelve weeks, 33 live sessions and a Demo Day for LKR 50,000, with every tool included. The next cohort is forming now, with a maximum of 40 participants. Seats are allocated on a first-come, first-confirmed basis.
Reserve Your Seat →Programme Format
No hidden extras. No upsells. No separate specialisation to buy, and no tools to pay for. Everything you need to become an autonomous, AI-enabled professional is inside the programme.
One cohort, eleven weeks of live building and a Demo Day, and everything you need to leave with a real AI practice, not just a certificate.
Questions
LKR 50,000 for the full twelve weeks. That covers all 33 live sessions, Demo Day, the recordings, office hours, the Cocoon labs and your certificate. Every tool the programme uses is provided by Cocoon, so you pay for the training and nothing else. Bringing a team? Book a call.
Three live sessions a week for eleven weeks, then Demo Day. Every session ends with a capstone, so plan for some building time between sessions, plus a short check-in with your pod. Session times are set per cohort and confirmed before you enrol.
Cohorts can run online, in person in Colombo, or both. The format for each cohort is confirmed before you commit to anything.
No. You will build automations, an agent and a live app, but you build them by describing what you want and testing the result. Developers can take the Tech track and go further.
No. Cocoon provides every tool the programme needs, including free credits for 30+ AI tools and 50+ models in Cocoon Studio, switched on in Week 0. The stack-budget guide in Week 3 is for afterwards: which tools are worth keeping once the programme ends, which free tiers are enough, and when pay-as-you-go beats a subscription.
Every session is recorded and stays available to you. Watch it, use office hours if you get stuck, and bring your capstone to the next Crit.
One real, recurring problem from your own job, chosen in Week 1 and measured before you start. Every week builds toward solving it, and at Demo Day you show the result against that baseline. If your work is confidential, you can use a realistic version of it or a brief we give you.
The one closest to the work you do every day. You choose at the end of Week 5, after you have seen what each track builds, so there is no need to decide before you enrol.
No course can promise that, and we don't. What you leave with is proof: 33 capstones, a live app, a working agent and measured results on a real problem, which is far more convincing than a certificate on its own.
Yes. A team version can be shaped around your company's own systems and problems. See bespoke programmes or enterprise training.
You do not need a technical background. You do not need prior experience. You need a willingness to build something every single day, and we will give you the tools to do exactly that.