Agentic Orchestrators

When AI can generate 100,000 lines of functional code per day (what used to take development teams months), we're not witnessing an upgrade. We're watching an entire economic model collapse.

When the cost of creation approaches zero, everything else becomes exponentially more valuable. Understanding the "why" behind code is irreplaceable. AI can understand your market, your customers, your constraints, but you need to orchestrate, remain the boss and take leadership.

Taste

AI can build anything, but it can't tell what feels human. The person who can sense when something feels wrong is worth their weight in gold.

Speed

Non-negotiable. While others schedule their first user interview, the winners have already talked to 50 users and killed 3 bad ideas.

Domain Expertise

Understanding healthcare workflows, retail seasons, or financial regulations beats knowing the latest JavaScript framework.

AI lets you work 10–100× faster—what used to need a team of ten, you can finish solo in a single day. You'll shift from just "designing and building" to creating AI-first, low-code systems that scale with ease. The real opportunity isn't in writing code anymore — it's in combining UX thinking, automation, and AI orchestration to solve real problems faster and more effectively.

The future belongs to those who can orchestrate AI to solve real problems at unprecedented speed. Build applications you couldn't have conceptualised previously. If you have a good eye for design, engineering knowledge and domain expertise, the world is your oyster.

Your Technical Journey

Phase 1: Fundamentals

  • Agent vs traditional coding
  • Prompt engineering depth
  • Error handling strategies

Phase 2: Agent Design

  • Multi-agent orchestration
  • State management patterns

Phase 3: Production

  • MCP server integration
  • Deployment strategies
  • Monitoring & observability
  • Cost optimization

Phase 4: Mastery

  • Guardrails & safety
  • Continuous improvement

Core Technologies

  • Claude Code/OpenAI Codex for development
  • MCP (Model Context Protocol) servers
  • Vector databases (Pinecone, Weaviate)
  • Deployment

Training Options

Individual Cohort

Join other engineers in focused learning with peer collaboration and networking.

  • 12-week structured program
  • Weekly sessions (3 hours)
  • Code labs & hackathons
  • Peer code reviews
  • Industry networking
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Team Training

Transform your entire engineering team with customized curriculum and hands-on projects.

  • Dedicated team sessions
  • Custom project selection
  • Your tech stack focus
  • London or remote delivery
  • 3-month support included
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Enterprise Program

Organization-wide transformation with multiple teams, leadership training, and ongoing support.

  • Multi-team coordination
  • Leadership enablement
  • Architecture consultation
  • 6-month support program
  • ROI measurement framework
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Prerequisites

You Should Have

  • Experience with prompting and ChatGPT
  • Curiosity and experimenting mindset
  • Basic understanding of HTML/CSS
  • Basic understanding of APIs
  • Experience with version control (Git)

Not Required

  • Software development experience
  • Machine learning background
  • AI/ML degree or certification
  • Deep learning knowledge
  • Data science experience