Full-Stack AI Engineering in TypeScript Bootcamp
Transform Your Skills: Build Intelligent AI Agents and Scalable Systems with TypeScript and Cutting-Edge LLM Technology
May 14 – 15, 2026 | London
May 14 – 15, 2026 | London
EARLY BIRD ENDS IN:
Bootcamp Program Day 1
Introduction
Learn the fundamentals of Large Language Models (LLMs), decision-making pipelines, and context management
Hands-On
Set up your environment with TypeScript and Node.js, and practice crafting prompts, debugging, and troubleshooting AI systems
Enhance
Build smarter AI agents with memory, state management, and external data integration for richer, context-aware responses
Bootcamp Program Day 2
Performance
Master evaluations (Evals) and Retrieval-Augmented Generation (RAG) to optimize AI capabilities
Advanced AI Techniques
Learn structured output strategies, long-term memory management, and human-in-the-loop refinement methods
Deploying and Scaling
Explore best practices for deploying production-ready systems and integrating them seamlessly with applications
Technical Requirements
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- 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.
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Who Should Attend?
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- 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
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Why Should You Attend?
After completing this intensive workshop, you’ll be equipped to:
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- 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
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Masterclass Highlights
- Hands-On Experience with LLM Development: Get practical, real-world experience building AI agents using TypeScript. From crafting prompts to debugging systems, this camp is designed for developers who learn by doing
- Cutting-Edge AI Techniques: Dive into advanced concepts like Retrieval-Augmented Generation (RAG), evaluations (Evals), and memory management to stay ahead in the rapidly evolving AI field
- Theory to Real-World Applications Transition: Gain actionable skills to deploy AI systems in production, optimize their performance, and handle real-world challenges
- LLM Development with TypeScript: Build scalable AI systems and intelligent agents using TypeScript, a powerful and widely used language for modern web and application development
- Expert Guidance and Resources: Benefit from expert-led sessions and walk away with resources, frameworks, and insights to accelerate your AI journey
Meet the Trainer
Nir Kaufman
Web developer. Community enthusiast. Organizer of meetups. International public speaker. Trainer. Author of books. Google developer expert in Angular and web technologies. Front-end Tech Lead at Tikal.
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