Custom AI training for teams
Give your team the skills to build with AI, connect the tools you use and automate the work that repeats. Live, custom training with the people who build these systems.
Remote-first, worldwide · On-site delivery available
Discuss your goals, training format and indicative budget. No obligation.
Trusted by teams at
Customer stories
Practical training, shaped around the business. Here is what that looked like for two of our customers.
J2 IntelligenceAI-native consultancy engagement
J2 Intelligence brought consultants and executives together to make AI part of everyday client work: research, strategy, delivery and go-to-market.
San Francisco · Live team workshop
Modern Health's team used its own research, design and customer material to build inspectable prototypes in a live workshop.
The offer, at a glance
Choose a focused workshop series, a full programme, or training with a year of platform access. Discovery shapes the content around your goals.
Indicative total fees for a 20-person cohort, in USD. These are planning ranges; your quote depends on the agreed scope.
Tools & skills your team can learn
From everyday AI tools to custom agents and automations. We choose the right tools, technical depth and practical projects for your team during discovery.
ClaudeReason, write and analyse
ChatGPTResearch and everyday work
CodexCode, agents and reusable skills
GitHub CopilotAI-assisted development
CursorWork with your codebase
GeminiResearch and multimodal tasks
Hermes AgentAgents with reusable skills
OpenClawPersonal and team agents
n8nConnect workflow steps
LovablePrototype product ideas
LangGraphOrchestrate agent workflows
Custom MCPsConnect approved tools and data
HiggsfieldCreate image and video concepts
CanvaAdapt campaign assets
ElevenLabsCreate voice and audio
Microsoft CopilotAI in your Microsoft workflow
MakeVisual workflow automation
ClayResearch and enrich accountsLearn on your team's real work
Start with one useful workflow. Explore the tools and use cases your team can learn next.
01 · Start with your tools
Claude
Notion
LinearCustomer interviews, support themes and your brief template.
02 · Apply your process
Group the themes, link the evidence and separate observations from assumptions.
Build a reusable workflow or skill03 · Review the result
A product brief with customer needs, open questions and a next experiment.Your team checks and approvesMore tools your product team can learn
ClaudeChatGPT
FigmaLovableLinearNotion
Slack
PerplexityExamples, tailored to your stack. Learn the tools, connect approved systems with MCPs and automations, and save your process as reusable skills. We agree the right tools and review steps with your team.
What the full programme looks like
The typical full programme runs for twelve weeks. The workshop series is a smaller starting point; dates and time commitments are agreed during scoping.
Start with the task your team needs to do better. Use a readiness baseline and the work people produce to assess progress.
Weeks 1–2
Weeks 3–10
Throughout
Week 11
Week 12
Session recordings, prompts, templates, workflow documentation and playbooks stay with your organisation. The final scope defines the outputs and implementation support included.
Who you'll learn with
San Francisco · London
AI/ML lead with a PhD in Machine Learning and former Head of AI at Mainstreet Partners. Stanford-backed founder, Ex-Google AI Accelerator mentor; leads enterprise deliveries for engineering teams.
New York · London
Exited AI founder and co-founder of TAI Labs. Manu built Rise AI to 35,000+ users before its acquisition by a private investor. Through Snapdrum and Krybe, he builds AI products and brings that experience into training for product and GTM teams.
Live online is our preferred format, bringing your team together wherever they work. We can also come to you for on-site workshops; location, travel and scheduling are agreed in your proposal.
Feedback from participants across TAI Labs courses and programmes. Employers are shown for professional context; these are individual experiences.
“In just two live sessions I walked away with a reusable GTM playbook, launch templates, and the AI prompts to run every future launch faster.”
“In only four weeks we went from LLM basics to building our own production-grade app — multi-agent workflows, RAG with vector search, and real evaluation.”
“Well structured, and covered a genuinely broad range of knowledge — exactly what our engineers needed.”
The learning experience
Ask questions, work through a practical challenge and get feedback from the people teaching you.
This is a snapshot of learners across our AI courses and programmes. Your custom training brings that live, practical approach to your own team.
Irena Palamani Xhurxhi · learner experienceBuilt for the work your team does
We agree the skills, tools and level during discovery. These are examples of what your programme can focus on.
Product teams
Turn customer evidence into clearer decisions and testable prototypes.
Explore 11 workflowsOperations teams
Connect handovers, reporting and repeatable work with clear review steps.
Explore 11 workflowsSales teams
Prepare better conversations and keep deal context moving through your CRM.
Explore 11 workflowsMarketing teams
Move from audience insight to campaign copy, visuals and video concepts.
Explore 11 workflowsEngineering teams
Build with coding agents, connect your stack and evaluate what ships.
Explore 11 workflowsIndicative investment
Move the slider for your team size and pick the shape you want. These are indicative ranges from programmes we have run — the exact figure comes out of discovery.
Indicative range
$24,000–$30,500
Discuss your team, the right format and an indicative budget. No obligation.
Before you book
For leaders planning training for a team, department or wider organisation.
Your next step · 15 minutes
Tell us where your team gets stuck and what you'd like them to do differently. We'll discuss the right training format, likely scope and indicative budget.
Share a few details, then choose a time. No obligation to buy.
