A self-paced course on building AI-powered web products with JavaScript and Node.js as they are used in production. Six modules cover a pragmatic full-stack foundation, calling model providers from a Node backend, streaming and real-time interfaces, retrieval and vector search, background jobs and tool-calling agents, and shipping with observability cost control and security. The focus is on the code, architecture and operational decisions that turn a demo into a service real users depend on.

Written for JavaScript developers and full-stack engineers who can build a web app and now need to add generative and agentic features without leaving the Node ecosystem. Tech Skills Library is independent and issues no certification, credential or licence.

Modules

Module One — A Pragmatic Full-Stack Foundation

Lessons

• Choosing a Node Runtime and Framework for AI Workloads Preview
• Type-Safe Contracts Across the Client and Server Boundary
• Managing Secrets Config and Provider Keys Safely

Module Two — Calling Model Providers From Node

Lessons

• Wrapping Provider SDKs Behind Your Own Interface
• Retries Timeouts and Handling Rate Limits Gracefully
• Controlling Token Cost With Prompt and Response Budgets

Module Three — Streaming and Real-Time Interfaces

Lessons

• Streaming Model Responses With Server-Sent Events
• Rendering Streamed Tokens in a Responsive Client
• Cancellation and Backpressure Under Concurrent Load

Module Four — Retrieval and Vector Search

Lessons

• Chunking and Embedding Documents in a Node Pipeline
• Choosing and Querying a Vector Store From JavaScript
• Assembling Grounded Prompts and Reducing Hallucination

Module Five — Background Jobs and Agents

Lessons

• Moving Long AI Tasks Into a Job Queue
• Building a Tool-Calling Agent Loop in Node
• Guardrails Permissions and Sandboxing for Agent Actions

Module Six — Shipping Observability and Cost Control

Lessons

• Tracing AI Requests End to End in Production
• Evaluations and Regression Testing for Model Behaviour
• Deploying Scaling and Capping Spend for AI Endpoints