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Node.js Reimagined for the Age of AI, Performance, and Security

From Production Debugging to Machine Learning — Master Modern Node.js Development

More Than Backend: Node.js in the Age of AI

Node.js has long evolved beyond being just a server-side framework—it’s now a powerful platform for modern software development in the age of AI, performance, and security. But as capabilities rapidly expand, so does complexity. That’s exactly where this course comes in: you’ll learn how to leverage Node.js effectively to build faster applications, reduce security risks, and unlock new AI-driven opportunities. Instead of theory, you’ll gain a clear, hands-on understanding of how modern Node.js really works—and how to apply it directly in your projects.

Build Node.js Applications That Last

In this course, you’ll take the next step: learn how to accelerate development with AI-powered workflows and explore how Node.js is increasingly establishing itself in the field of machine learning. At the same time, you’ll gain the skills to tackle real-world challenges—from debugging and profiling in production systems to addressing critical security vulnerabilities. You won’t just learn how to build scalable, high-performance systems—you’ll understand why certain decisions truly matter. The result: applications that don’t just work, but stand the test of time.

Take Your Skills to The Next Level

Session | Accelerated Node.js Development with AI | Lucas Kamakura

Accelerate your development with AI-powered Node.js workflows and make tools like GitHub Copilot and Augment Code part of your daily routine. Learn how to efficiently refactor legacy code, automate testing, and improve results through effective prompt engineering. Discover how to use AI agents safely and responsibly, avoid common risks such as hallucinations and security flaws, and significantly boost both productivity and code quality.

Session | Rage Against the Python Machine: Building a New Generation of Node.js ML | Laurie Lay

Discover how to implement machine learning directly in Node.js—without relying on Python or external APIs. This session shows you how to build intelligent features like real-time predictions, neural networks, and server-side inference using tools such as ml-js, brain.js, and ONNX Runtime. Understand when JavaScript-based ML solutions make sense and how to integrate scalable, production-ready AI capabilities into your existing applications.

Session | What happens when an AI has access to a Node.js environment? Spoiler: wild things | Alfonso Graziano

Explore what becomes possible when AI gains direct access to a Node.js environment. Learn how to build a secure sandbox using the Model Context Protocol (MCP), enabling AI to run code, install packages, and automate processes. Discover real-world use cases such as automated API creation, data processing, PDF generation, and web scraping—and build your own infrastructure for agent-based development and automation.

Article | Beyond Benchmarks: Profiling Node.js in Production | Rafael Gonzaga

Optimize performance where it matters most: in production. Learn how to identify and resolve real bottlenecks using tools like linux_perf and flame graphs. Discover best practices for low-overhead profiling, handling edge cases and real user behavior, and continuously improving performance in scalable systems.

Article | Common Vulnerabilities in Node.js Web Applications | Shankara Hariharan

Protect your applications against the most common threats. Learn how to identify and prevent SQL injection, XSS, and command injection. Discover how input validation, secure database access, CSP headers, and modern frameworks help you build robust and secure applications that scale safely.

Article | Preventing Dependency Risks and Authentication Flaws in Node.js | Shankara Hariharan

Reduce risks from vulnerable dependencies and authentication flaws. This article shows how to defend against supply chain attacks, dependency confusion, and SSRF, and how to implement secure JWT-based authentication. Learn strategies such as rate limiting, security audits, and layered defense mechanisms to keep your Node.js applications secure long-term.

Article | Node.js: Debugging and Profiling | Sebastian Springer

Understand the inner workings of Node.js and optimize your applications effectively. Learn how the event loop, garbage collection, and non-blocking I/O impact performance. Explore best practices for avoiding memory leaks, processing data efficiently with streams, and designing scalable architectures for high-performance systems.

Article | Node.js Deep Dive: Optimization and Tools | Sebastian Springer

Become a performance expert. Use tools like Node Inspector, Chrome DevTools, Clinic.js, and heap snapshots to systematically analyze and resolve issues. Learn how to apply CPU and memory profiling, flame graphs, and garbage collection monitoring to optimize your applications and ensure long-term stability.

Expert knowledge for…

Backend and Node.js developers who want to learn how to build high-performance, secure, and scalable applications using modern tools and best practices.
Full-stack developers who want to understand how to integrate AI-powered workflows and machine learning directly into their Node.js projects.
Software architects and tech leads who want to learn how to optimize complex systems, minimize security risks, and design future-proof architectures.
DevOps and platform engineers who want to learn how to efficiently debug, profile, and sustainably optimize Node.js applications in production.

Take the course and learn how to...

accelerate your Node.js development with AI tools like GitHub Copilot while ensuring code quality and security.
Integrate machine learning directly into Node.js and implement intelligent features ready for production without external dependencies.
Identify and specifically resolve performance issues, memory leaks, and bottlenecks in real production systems.
Effectively prevent security vulnerabilities such as injection attacks, dependency risks, and authentication errors, and develop robust applications.

Our Speakers and Experts

Lucas Kamakura

Augment Code

Expert in AI-powered software development, machine learning, and AI workflows in enterprise environments

Tyler Steck

Packsize LLC

Expert in scalable Node.js applications, clean code, and AI-powered development processes

Laurie Lay

Expert in full-stack development, machine learning with JavaScript, and user-centered software solutions

Ippon Technologies

Alfonso Graziano

Nearform

Expert in Node.js, distributed systems, and scalable cloud architectures

Rafael Gonzaga

NodeSource

Expert in Node.js performance, open-source development, and low-latency backend systems

Shankara Hariharan

Expert in cloud security, secure software architectures, and multi-cloud strategies

adesso SE

Sebastian Springer

Expert in JavaScript architecture, Node.js performance, debugging, and profiling

Rohde & Schwarz

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