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AI for Professionals Cohort

Become the
AI Champion
of your company.

This is not a course you watch. Every session ends with something you built. Every day ends with a capstone you can show. You leave with 16 live projects, a personal AI stack, and a 90-day roadmap ready to execute from Monday morning.

4 Weeks
Live cohort · 4 days each
16 Capstones
One deployable project per day
40 Max
Seats per cohort
1,000+
Tools in the Cocoon library
Apply for the Next Cohort → See the full curriculum
A professional at the centre of a swirling ring of glowing green screens and charts, in Cocoon pixel art
For Professionals

Do the work
of an entire team.

Accelerate what takes too long. Augment what you are already excellent at. Automate what should never have needed a human.

Sixteen working systems built from your actual job — running before the programme ends, and yours to keep compounding afterwards.

85%

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.

3x

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.

16

live capstone projects you leave with — one built every single day. Not slides, not theory. Working tools, automations, and applications you will actually use.

The Promise

Become an autonomous,
AI-enabled professional.

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.

01 / Fit over feature count
A tool is only useful if it fits your workflow

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.

02 / Personal stack, not universal
No two professionals need the same tools

You leave with a stack built around your role, your habits, and your goals. Week 4 goes deep into your specific function — Finance, HR, Sales & Marketing, Operations, or Tech. The generic stuff ends in Week 3.

03 / Stay ahead independently
You are never dependent on another course

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

Designed for people who want to
move, not just understand.

Passive AI curiosity to active AI capability. No technical background required — only a willingness to build something every single day.

Ideal For Professionals ready to act

  • → Mid-to-senior professionals in any function
  • → Team leads and managers wanting to upskill their teams
  • → Founders and business owners building AI-first operations
  • → HR, Finance, Marketing, Operations, and Sales professionals
  • → Developers who want to think beyond code
  • → Anyone who has tried AI tools and felt they were barely scratching the surface

Not Required What you don't need

  • ✕ A technical or engineering background
  • ✕ Prior experience with AI tools
  • ✕ The ability to code — we handle that together
  • ✕ Any prior automation or programming knowledge
  • ✕ A specific industry or job title
  • ✕ Anything other than a willingness to build something every day

Programme Outcomes

What you graduate with.

Participants who complete the full cohort leave with six distinct, deployable outcomes — not certificates of attendance, but real capability shifts.

01
Autonomous AI Fluency

Use AI across text, voice, image, and code — without needing a technical team. You operate independently across all modalities.

02
A Personal AI Stack

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.

03
The Thought Shift

Not just tool knowledge — the mental model to evaluate, adopt, and stay ahead as AI keeps evolving. Independent of any programme, indefinitely.

04
16 Live Deliverables

One completed, deployable capstone project every single day of the programme. Sixteen working tools, automations, and applications you built yourself.

05
Role-Specific Mastery

Deep capability in the tools and workflows most relevant to your function. Week 4 goes entirely domain-specific — HR, Finance, Sales & Marketing, Operations, or Tech.

06
90-Day AI Roadmap

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

From hours to automated.
From 1× to 10×.

This isn't faster typing. It's a different operating capacity. Here's what changes for our graduates — measured, not promised.

Reporting & admin
6+ hours / week
Automated
Content output
1× throughput
10× throughput
Idea to MVP
4+ months
2 weeks
Your capacity
Linear
Exponential

Who you become.

Not "someone who took an AI course." A professional the market is actively hiring for.

AI-Native Operations Lead

Handle 5× the volume without adding headcount. Reporting, routing, and ops run themselves while you focus on decisions.

AI Product Builder

Take an idea to a working prototype in a fraction of the time — validate, build, and ship without waiting on a dev team.

AI Marketing Strategist

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

Your professional AI operating system.

Every participant sets up an anchor stack from Day 1 — 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.

Claude Code
Your AI Developer

Write, debug, and deploy code without a developer background. Build automations, applications, and scripts through conversation. Your technical ceiling just disappeared.

Obsidian
Your Second Brain

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.

Wispr Flow
Voice-to-Text AI

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.

Motion
AI Scheduling

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

4 weeks. 4 days each.
One capstone every day.

Every module is built around a daily capstone — something you make, deploy, and own. Browse each week below.

Foundations, Mindset, and Your Personal AI Stack

Week 1 establishes the two things that determine whether AI adoption works: the right mindset, and a mapped understanding of your current workflows. Only then do we introduce tools — starting with the four that anchor your professional AI practice.

W1 / Day 1
Mindset Shift
From Tool User to AI-Enabled Professional
  • The difference between using AI and thinking with AI
  • Why most AI adoption fails — the implementation gap
  • From reactive to agentic: how autonomous professionals operate
  • Psychological barriers to adoption and how to overcome them
Daily Capstone

Write your personal AI adoption manifesto — one page, your commitments, your barriers, and what success looks like in 3 months.

W1 / Day 2
Current Workflow Mapping
Before automating anything, understand what you actually do
  • The professional workflow audit — what do you spend time on?
  • Identifying high-frequency, low-creativity tasks (prime automation targets)
  • Mapping your decision layer — where do you actually add value?
  • The AI readiness matrix: effort vs. impact for your specific role
Daily Capstone

Complete workflow map with AI readiness scores for your top 10 weekly tasks.

W1 / Day 3
AI Foundations and Prompting
From curiosity to fluency
  • Demystifying LLMs, tokens, context windows, and inference
  • The Prompt Architecture framework — Role · Context · Task · Format · Constraints
  • Chain-of-thought, few-shot, and structuring multi-step tasks in one prompt
  • Building a reusable prompt library and AI Projects in Claude
Daily Capstone

Build a personal prompt library of 10 reusable prompts for your role.

W1 / Day 4
Claude Code, Obsidian, Wispr Flow & Motion
The autonomous professional's daily toolkit
  • Claude Code: writing, debugging, and deploying code without a background
  • Obsidian: building a personal knowledge base linked to your AI workflow
  • Wispr Flow: voice-to-text AI for capturing thoughts and prompts hands-free
  • Motion: AI-powered calendar that auto-schedules your day
Daily Capstone

Set up your full personal AI operating system — live, configured, and running by end of session.

Multimodal AI, Custom Assistants, and Automation

Week 2 expands beyond text — into voice, image, and video as AI inputs and outputs. Participants build custom assistants grounded in their own data, deploy first automations, and produce a full creative campaign using generative AI.

W2 / Day 1
Multimodal Capture and Drafting
Text, voice, image, and video as AI inputs
  • Working with images: OCR, document analysis, visual briefings
  • Voice capture workflows — notes, memos, briefs via Wispr Flow
  • Video transcription and meeting intelligence with Granola
  • Building templates that AI can populate from minimal inputs
Daily Capstone

Record a 5-minute voice memo, transcribe it, and convert to a structured 2-page professional brief using AI alone.

W2 / Day 2
Context Layer and Custom Assistants
Teaching AI about your world
  • Knowledge bases, RAG, and why context is everything
  • Building Claude Projects grounded in your documents and data
  • Custom GPTs and assistant personas for specific workflows
  • Connecting your Obsidian vault as a living knowledge base
Daily Capstone

Build a custom AI assistant trained on your company context and role documentation — live and queryable.

W2 / Day 3
Build Your First Automation
Converting manual tasks into automated systems
  • No-code automation fundamentals: trigger, action, result
  • Zapier and Make.com — connecting tools without code
  • APIs and MCPs: what they are and why they matter for AI
  • Automating email triage, social listening, and document routing
Daily Capstone

Build a working automation that saves you at least 30 minutes per week — live, tested, and running.

W2 / Day 4
Generative AI for Creativity
From brief to finished creative asset
  • AI image generation: Midjourney, Ideogram — for presentations and comms
  • Video generation: Hailuo, Runway, Veo3 — for internal and external use
  • Audio and voiceover: ElevenLabs, Suno for narration and content
  • Brand-consistent creative output without a design team
Daily Capstone

Produce a complete 60-second AI-generated video advertisement — script, voiceover, visuals, and music.

Agents, Apps, Ethics, and Your 90-Day Roadmap

Week 3 is where participants become builders. They deploy AI agents that work autonomously, publish live web applications, navigate the ethics of AI at work, and leave with a peer-reviewed 90-day implementation plan.

W3 / Day 1
Agents, Automation & Digital Employees
AI that works while you sleep
  • What AI agents are and how they differ from chatbots
  • Agentic loops: planning, executing, reflecting, iterating
  • Hands-on with today's coding agents — Claude Code, OpenClaw, OpenCode, Codex CLI, Gemini CLI, Hermes & Kimi
  • Building multi-step agents with Claude Code and Make.com
  • Case studies: AI SDR (Lilian), AI Customer Support (Rhea)
Daily Capstone

Design and deploy a working agent that handles one recurring workflow end-to-end without manual input.

W3 / Day 2
Build Your First AI-Powered App
Publish something real, no developer required
  • No-code app builders: Lovable, Bolt, v0 — from prompt to deployed app
  • Coding agents — Claude Code, OpenClaw, OpenCode & Kimi — for custom logic and API integration
  • Designing for real users: UX principles for AI interfaces
  • Publishing and sharing a functional, shareable web application
Daily Capstone

Publish a live AI-powered web application solving a real problem in your domain — accessible via a public URL.

W3 / Day 3
Privacy, Security, and Ethical AI
Operating with confidence and responsibility
  • What data you should and should not share with AI tools
  • Secure AI practices for professional and enterprise environments
  • Ethical deployment: bias, hallucination, and accountability
  • Compliance frameworks: GDPR, AI Act, and industry-specific rules
Daily Capstone

Draft a practical AI usage policy for your organisation or team — ready to share with leadership.

W3 / Day 4
Your 90-Day AI Implementation Roadmap
Turning a week of learning into a year of momentum
  • Personal AI audit: what you have built, what you will deploy
  • Quick wins (Week 1–2), habit formation (Month 1), scaling (Month 2–3)
  • Metrics: how will you measure AI's impact on your output?
  • Building an AI-forward team culture from your position
Daily Capstone

Present your 90-day AI roadmap — structured, peer-reviewed, and ready to execute from Monday morning.

Domain Tracks and Final Capstones

Week 4 splits into domain-specific tracks. Participants join the track most relevant to their function and spend four focused days applying everything they have built to real problems in their industry. Each day goes deeper, with a live final capstone on Day 4.

W4 / Day 1
Domain Track — Tools & Workflow Deep-Dive
Going deep in your function
  • Introduction to your domain-specific AI tool stack
  • Mapping the highest-impact AI opportunities in your function
  • Live tool walkthroughs: prompting and output quality in your context
  • Setting the scope and brief for your final capstone project
Daily Capstone

Complete a domain workflow redesign using at least two track-specific tools — documented and presented to peers.

W4 / Day 2
Domain Track — Custom Assistants & Data Workflows
AI that knows your domain
  • Building a domain-trained custom assistant (HR bot, Finance analyst, Marketing copilot)
  • Feeding it your real documents, policies, and data
  • Testing outputs against real work scenarios in your track
  • Automating data routing and document handling for your function
Daily Capstone

Deploy a domain-specific AI assistant that can handle a real colleague query — live demonstration to your track group.

W4 / Day 3
Domain Track — Automation & Reporting
Removing the manual layer from your function
  • Identifying the three biggest automation opportunities in your role
  • Building live automations: email routing, report generation, data processing
  • AI-generated dashboards and reporting outputs for your function
  • Stress-testing your automations with real data
Daily Capstone

Build and run a live automation that produces a real output your team would use — no manual steps required.

W4 / Day 4
Domain Track — Final Capstone Showcase
Build it. Present it. Own it.
  • Final build session: assembling your domain-specific AI solution
  • Combining assistant, automation, and application into one deliverable
  • Peer critique: structured feedback from cohort members across tracks
  • Facilitator review and certification sign-off
Final Capstone

Present your domain-specific AI solution to the full cohort — a working product solving a real problem in your field.

Domain Tracks

Choose your track.
Go deep in Week 4.

Participants select one domain track on Week 4 Day 1 and stay with it for all four days — building tools and workflows that solve real problems specific to their function.

Track A
AI for Human Resources

HR professionals, people operations teams, and talent leaders

  • AI for talent acquisition and candidate screening
  • Onboarding automation and HR documentation
  • Performance reviews and L&D planning
  • Employee sentiment and engagement analytics
  • HR chatbots and voice agents for internal support
Track B
AI for Finance

Finance teams, accountants, analysts, and CFOs

  • Automated reporting & dashboards with Power BI, Power Automate & Claude Cowork
  • Natural language querying of financial data
  • Invoice processing, reconciliation, and ledger automation
  • AI-assisted budgeting, forecasting, and scenario planning
  • Fraud detection patterns and anomaly flagging
Track C
AI for Sales & Marketing

Marketers, brand managers, content teams, and growth leads

  • AI SDR workflows and lead research automation
  • Copy, social posts, email campaigns, and long-form content
  • No-camera video & visuals with HeyGen, Veo, Ideogram, Arcads & ElevenLabs
  • Competitor analysis and market research with AI
  • Lead nurturing, email sequences, and CRM integration
Track D
AI for Operations & Logistics

Operations managers, supply chain teams, and process owners

  • Multi-step automations with n8n, Make.com, Power Automate & Manus
  • AI for inventory management and demand forecasting
  • Automating vendor communications and purchase requests
  • AI-powered operational KPI monitoring and reporting
  • Process documentation and SOP generation with AI
Track E
AI for Developers & Tech Teams

Software developers, data teams, IT professionals, and technical leads

  • The new wave of coding agents — Claude Code, OpenClaw, OpenCode, Codex CLI, Gemini CLI, Hermes, Kimi, Cursor & Copilot
  • Choosing the right agent for the job: terminal vs IDE vs autonomous
  • Prompt engineering for APIs, data pipelines, and system design
  • Building and deploying AI agents, chatbots, and voice interfaces
  • Automation with Make.com, Zapier, n8n, and Retool
  • AI for QA, debugging, code review, and documentation generation

4-Week Domain Specializations

Go all-in on your role.
A full month, built for you.

Beyond the core cohort, each domain gets its own dedicated 4-week specialization — researched against how the best teams actually work in 2026, 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 and see the full breakdown.

AI for Human Resources — 4-Week Specialization

For HR managers, people-ops, and talent & L&D leaders. Every part of the people function, rebuilt around AI.

Week 1
AI Foundations & the People-Ops Map
Where AI actually moves the needle in HR
  • Claude Code as your universal AI workhorse — write, analyse & automate HR work
  • Copilots vs agents vs autonomous — what fits HR work
  • Map high-leverage workflows: hiring, onboarding, L&D, comp
  • Prompt Architecture for HR: role, context, format, guardrails
  • A reusable prompt library: JDs, policies, interview guides
Week 2
Talent Acquisition & Onboarding
From sourcing to day-one — faster and fairer
  • AI sourcing & screening with Eightfold, Greenhouse & iCIMS
  • Hiring copilots & structured interviews: Phenom, Pinpoint
  • JD generation, candidate outreach & scheduling agents
  • Onboarding agents that orchestrate IT, tasks & comms
Week 3
Engagement, Performance & People Analytics
Listen, coach, and predict at scale
  • Sentiment & pulse analytics: Culture Amp, Workday Peakon
  • AI performance reviews & bias flags: Lattice, Visier
  • Personalised learning paths & skills maps: Gloat, Sana
  • Predictive attrition, comp analysis & workforce planning
Week 4
Governance, Ethics & Deployment
Ship AI that's legal, fair, and trusted
  • Bias audits & AEDT compliance (NYC Local Law 144)
  • EU AI Act high-risk rules, privacy, consent & oversight
  • An internal AI-use policy & vendor due-diligence checklist
Specialization Capstone

Deploy one live HR workflow — AI-assisted screening or an onboarding agent — with a documented prompt set, a bias-audit plan, and a one-page governance policy.

AI for Finance — 4-Week Specialization

For FP&A analysts, accountants, controllers, and CFOs who own reporting, close, and forecasting.

Week 1
AI Foundations for Finance
Literacy, prompting, and where AI fits the stack
  • Claude Code as your universal AI workhorse — analysis, modelling & automation
  • LLMs for finance: variance explanations, baselines, anomalies
  • Prompt Architecture: grounding, templates, refusing hallucination
  • Map workflows by AI-fit: routine volume vs judgement
  • Hands-on: Excel + Microsoft 365 Copilot for prep & summaries
Week 2
Reporting, MIS & Reconciliation
Highest-ROI wins first — close and matching
  • Power BI Copilot: NL-to-report, DAX, auto-narratives
  • Reconciliation & close with BlackLine & FloQast
  • AP/AR automation: Stampli matching, HighRadius collections
  • Approval flows & data extraction with Power Automate
Week 3
FP&A, Forecasting & Scenario Planning
From spreadsheets to AI-assisted planning
  • AI forecasting: Workday Adaptive, Anaplan PlanIQ, Datarails
  • NL scenario modelling with Pigment — “if freight rises 8%”
  • Variance commentary & board-pack drafts from live data
  • Conversational analytics & root-cause with Tellius
Week 4
Governance, Audit & Anomaly Detection
Controls, auditability, and fraud risk
  • Full-population GL risk scoring: MindBridge, DataSnipper
  • SOX/COSO controls: audit trails, prompt logs, model versions
  • Human-in-the-loop review & hallucination monitoring
Specialization Capstone

Build a governed AI workflow that drafts a monthly variance & MIS pack from ERP data — with an audit trail and human sign-off — cutting close time by 2–3 days.

AI for Sales & Marketing — 4-Week Specialization

For marketers, brand & content teams, growth leads, and SDRs who own pipeline and demand.

Week 1
Strategy & Brand Voice
Make AI think like your brand, not generic
  • Claude Code as your universal AI workhorse — content, research & automation
  • Build a reusable brand-voice system from real assets
  • Draft positioning, ICP & messaging maps with Claude
  • Custom GPTs / Claude Projects loaded with style & proof
  • Brand-safety guardrails: fact-check, disclosure, no-go claims
Week 2
Content & Visuals at Scale
Ship on-brand assets fast — 1× to 10×
  • Long-form, social & ad copy with Claude, Jasper, ChatGPT
  • On-brand images & text-in-image: Midjourney, Ideogram
  • AI video & avatars: HeyGen, Veo 3, Runway, Arcads UGC
  • Voiceover & localisation at scale with ElevenLabs
Week 3
GEO/AEO & Paid Creative
Get cited by AI search, win the ad auction
  • Optimise for ChatGPT, Perplexity & AI Overviews (schema, freshness)
  • Build brand entity off-domain: Reddit, YouTube, directories
  • Creative variants for Meta Advantage+ & Performance Max
  • Track AI-search visibility & brand mentions
Week 4
Agentic Outbound & Lifecycle
Automate research, outreach, and revenue ops
  • Enrich & research leads with Clay (100+ sources) & Apollo
  • Run AI SDR cadences with Vector Agents (Lilian) & AiSDR
  • Wire lifecycle, CRM & attribution into HubSpot
Specialization Capstone

Ship a live AI-built campaign — GEO-optimised content, an AI video ad, and an enriched, agent-run outbound sequence wired to your CRM — with AI disclosure and a pre-publish QC checkpoint.

AI for Operations & Logistics — 4-Week Specialization

For ops managers, supply-chain teams, process owners, and COOs running real operational workflows.

Week 1
Foundations & Process Mapping
See your process before you automate it
  • Claude Code as your universal AI workhorse — docs, data & automation
  • Map workflows; spot high-volume, rule-heavy candidates
  • Draft SOPs, runbooks & docs fast with Claude / ChatGPT
  • AI process mining to surface bottlenecks (Celonis)
  • Score by ROI, frequency, error-cost & data readiness
Week 2
Multi-Step Automation & Integration
Wire your systems together
  • No-code flows in n8n, Make.com & Zapier across ERP & mail
  • AI nodes for classification, extraction & summarisation
  • Procurement, invoice & vendor intake with Power Automate
  • Extract unstructured docs with Azure Document Intelligence
Week 3
Forecasting, Dashboards & Decisions
Turn data into operational decisions
  • Demand forecasts & inventory signals: o9, Relex, Prophet
  • Auto KPI dashboards & narratives in Power BI / Tableau
  • Control-tower alerts for disruption & exceptions
  • Logistics routing & replenishment with Blue Yonder
Week 4
Agentic Ops, Governance & Reliability
Scale safely with humans in the loop
  • Agentic workflows for exception handling (n8n, Manus)
  • Human-in-the-loop approvals, audit trails & retry logic
  • Reliability: logging, permissions, EU AI Act readiness
Specialization Capstone

Ship one production agentic ops workflow with human-in-the-loop approvals, a monitoring dashboard, and documented ROI on your highest-cost process.

AI for Developers & Tech Teams — 4-Week Specialization

For developers, data engineers, IT, and technical leads adopting agentic coding in real production codebases.

Week 1
Agentic Coding Foundations
Terminal, IDE & autonomous agents in your repo
  • Master Claude Code, Codex CLI & Cursor — pick the right mode
  • Scope tasks with CLAUDE.md, MCP servers & repo context
  • Codebase-aware edits & multi-file refactors with verified diffs
  • Generate tests & docs; gate every change behind review
Week 2
Engineering Workflows at Scale
Subagents, refactors, review & incident triage
  • Orchestrate parallel subagents: backend, test & review splits
  • Wire MCP to GitHub, Postgres, Sentry & Linear
  • Automated code review: per-file agents posting comments
  • Debug & triage incidents with traces, logs & repros
Week 3
Shipping Products & Data Pipelines
App builders, automation & data work
  • Full-stack apps fast: Lovable, Bolt, v0 & Supabase
  • Automate workflows & internal tools via n8n, Zapier, Retool
  • Agent-driven SQL/ETL data pipelines, validated
  • Compare models: Claude, GPT-5.5, Gemini & Kimi
Week 4
Production, Evals & Safety
Guardrails, observability & agent security
  • Ship behind trace-based evals: Langfuse, Braintrust, Promptfoo
  • Layered guardrails: scoped tools, sandboxing, output policy
  • Defend secrets & block prompt injection in MCP & Actions
Specialization Capstone

Ship one production feature built with subagents — complete with evals, guardrails, and an observability dashboard — plus a 90-day plan to roll agentic workflows across your team.

Your Trainers

Learn from practitioners,
not professors.

Every trainer in this cohort is an operator who uses AI to ship real work daily — founders, 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.

Ammar Ahamed

Ammar Ahamed

Founder — Cocoon · Head of Growth, Vector & BuildrLabs

Founder of Cocoon and co-founder of Buildin Blocks — driving growth and AI adoption across the region.

View LinkedIn → Website →
Hasara Munasinghe

Hasara Munasinghe

Lead Project Manager — Octave, John Keells Group

Driving digital and AI-led project delivery at John Keells Group's data & analytics arm.

View LinkedIn →
Prasanna Rodrigo

Prasanna Rodrigo

Associate Software Architect — CodeGen

Engineering leader overseeing AI Labs — Enterprise AI, agentic platforms, RAG solutions & GenAI delivery.

View LinkedIn →
Kavindu Eshara

Kavindu Eshara

CEO & Founder — ABSOLX CORE AI

AI Engineer & Researcher building defense AI, MEGHA UAV & HPC systems — SOUL, ARC OS.

View LinkedIn →
Faahika Fakir

Faahika Fakir

Head of Operations — Oceans

Product marketing, project management & business development leader driving client growth.

View LinkedIn →
Lishan Peiris

Lishan Peiris

Assistant Manager, Brand — Wavenet · Lecturer, AMDT

Brand strategy, AI for brands & tech marketing — creative lead and product marketer.

View LinkedIn →
Abubakker Bakthathi

Abubakker Bakthathi

Founder & CEO — Paralox Media

AI solutions development, AI consulting & training for brands building AI-powered systems.

View LinkedIn →
Kavinda Kumarasinghe

Kavinda Kumarasinghe

Senior Executive, Digital Transformation — MAS KREEDA

RPA developer specialising in Microsoft Power Platform & MS Office Scripts automation.

View LinkedIn →
Dilusha Perera

Dilusha Perera

Lead Digital Evangelist — MAS KREEDA

Digital transformation leader driving AI & automation adoption across MAS Activewear.

View LinkedIn →
Sudeshi Jayasuriya

Sudeshi Jayasuriya

Founder — Mira AI · Former Director of HR, Boardpac

Building Mira — an AI HR operations executive and AI employee for HR teams.

View LinkedIn →
Naseef Athaur Rahman

Naseef Athaur Rahman

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 →
IA

Isuru Alagiyawanna

Founder — Zuu Crew AI · Head of AI, Veracity

AI lead & educator building zuucrew.ai & talentsync.ai — 2,500+ engineers trained worldwide.

View LinkedIn →
Ayyash Ahamed

Ayyash Ahamed

Co-founder & CEO — Buildin Blocks

Chartered marketer helping brands scale with digital strategies.

View LinkedIn →
Affan Ahamed

Affan Ahamed

Founder — Linkify · GTM Specialist, Oceans

Global SaaS Top 200 — GTM & product marketing, AI & SaaS, LinkedIn growth.

View LinkedIn →
Dr Akshika Wijesundara

Dr Akshika Wijesundara

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 →
Kevin Musprett

Kevin Musprett

Co-founder & CEO — Boring Host AI

Building Boring Host AI — making AI infrastructure simple, reliable, and effortless to deploy.

View LinkedIn →
Minsara

Minsara Samarakkodi

Co-founder & CTO — Boring Host AI

Technical co-founder building the engineering behind Boring Host AI's deployment platform.

View LinkedIn →
Dr Sithira Ambepitiya

Dr Sithira Ambepitiya

Head of AI — AIGP · MBBS turned AI Lead

GenAI lead & agentic engineering specialist — agentic memory & agent harness designer, dLLM enthusiast.

View LinkedIn →
HN

Hansa Naurunna

Associate Tech Lead, AI/ML — Gapstars

AI/ML engineering lead building production machine learning systems.

View LinkedIn →
Jameel

Jameel Ur Rahman

Principal Software Engineer — ExpressVPN

Principal engineer building secure, large-scale systems at one of the world's leading VPN providers.

View LinkedIn →
Anas Ilyas

Anas Ilyas

Associate Lead, IAM & Cyber Security — Sysco LABS Sri Lanka

Identity & access management and cyber security specialist — MSc Cyber Security, CCNA, Azure, ITIL 4.

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Saad Mazhar

Saad Mazhar

Business Development — Spectrify AI · Co-Founder, Tank Sudda

Full-stack developer (React, Java, Flutter) working across startups, AI & Web3 — tech speaker and professional compère.

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Tharindu Karunarathne

Tharindu Karunarathne

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.

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These aren't just programs and modules for us.
These are skills we use on the daily. All trainers are experts in their own fields, who use AI in their day-to-day and who are actively seeing returns.

We Show. You Choose.

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 →

Ready to build something every day?

The next cohort is forming now. Maximum 40 participants. Apply early — seats are allocated on a first-come, first-confirmed basis.

Reserve Your Seat →

Programme Format

Everything in one cohort.

No hidden extras. No upsells. Everything you need to become an autonomous, AI-enabled professional is inside the programme.

What's included

One cohort, sixteen days of live instruction, and everything you need to leave with a real AI practice — not just a certificate.

  • ✓
    16 days of live instruction4 weeks × 4 days, all live with a facilitator and cohort
  • ✓
    16 daily capstone projectsOne built, deployable project every single day
  • ✓
    Domain track in Week 4HR, Finance, Sales & Marketing, Operations, or Tech
  • ✓
    Personal AI stack setupClaude Code, Obsidian, Wispr Flow, and Motion — configured and running
  • ✓
    Cocoon Tool Library access1,000+ curated tools across 40 categories, continuously updated
  • ✓
    90-day implementation roadmapPeer-reviewed, structured, ready to execute from Monday
  • ✓
    Certificate of completionCocoon AI Professionals Cohort

What this is not

A passive lecture series — you build something every day
A theoretical overview of AI — everything is applied to real work
A tool demo without application — the tools become yours
A one-size-fits-all approach — Week 4 is entirely role-specific
A course you forget — you leave with 16 live deliverables
Next cohort
Forming now
Maximum 40 participants. Seats allocated on first-come, first-confirmed basis.
Apply Now →
Cocoon AI for Professionals

Build your AI practice.
One capstone at a time.

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.

Gauge Your AI Readiness → Gauge Your AI Readiness →
No coding background needed 16 live deliverables Max 40 participants Role-specific Week 4