Technical Requirements

• • • Proficiency in TypeScript and JavaScript: A foundational understanding of TypeScript and JavaScript is essential for hands-on exercises and building AI systems
    • Prepared Development Environment: Bring a laptop with Node.js installed, a modern code editor (such as VS Code or WebStorm), and a fully functional TypeScript setup configured prior to the workshop (like VS Code or WebStorm)
    • Curiosity and Enthusiasm for AI: A genuine interest in learning about LLMs, engaging with hands-on exercises, and exploring cutting-edge AI technologies.

Who Should Attend?

• • • AI Developers and Engineers: Professionals focused on creating intelligent systems powered by LLMs, eager to deepen their expertise in building and scaling AI agents
    • Software Developers: Programmers seeking to transition into AI, learning to expand their skills with LLMs and scalable systems for real-world applications
    • Machine Learning Experts: Practitioners looking to enhance their ML workflows by integrating LLM-powered intelligent agents and cutting-edge AI methodologies
    • Full-Stack and Backend Developers: Engineers interested in enriching applications with advanced AI capabilities, including memory management, RAG, and scalable architectures

Why Should You Attend?

After completing this intensive workshop, you’ll be equipped to:

• • • Design and Build Intelligent AI Agents: Confidently create AI agents that use LLMs and TypeScript for decision-making, memory retention, and real-time context management
    • Optimize AI Systems for Performance and Scalability: Apply techniques like Evals and RAG to improve the efficiency, accuracy, and reliability of your AI solutions
    • Integrate External Data Seamlessly: Enhance your AI agents by incorporating APIs and knowledge bases with TypeScript for richer and more context-aware responses
    • Deploy Production-Ready AI Systems: Transition from prototypes to fully functional, scalable AI applications ready for real-world deployment
    • Create Advanced Prompts for Tailored Outputs: Master prompt engineering to generate precise, creative, and impactful AI responses aligned with user needs

Agenda Day 2

• Apply DSRP systems thinking to refine your maps and reveal hidden dependencies.
  
• Build a 3-axis flow map combining user needs, value streams, and systems perspectives.
  
• Design your future platform state through small, high-impact capability increments and safe-to-fail experiments.
• Build an impact-based roadmap focusing on value, risk, sequencing, and communication.
  
• Develop adoption and influence strategies: behaviour change, internal messaging, and developer engagement.
  
• Explore platform futures—AI, automation loops, resilience patterns—and complete your final synthesis.