AI-Powered Data Pipelines with Deno

How do you efficiently process, transform, and enrich data using modern artificial intelligence? This text-based course guides you through building robust, AI-driven data pipelines using Deno, the secure-by-default runtime for JavaScript and TypeScript. You will transition from understanding basic data ingestion to constructing sophisticated workflows that leverage language models for automated categorization, summarization, and data enrichment. Through clear explanations and practical code examples, you will learn how to handle data streams, manage environment variables securely, and integrate external AI APIs without complex configuration. What you'll learn: Understand the core architecture of Deno and its built-in TypeScript support for data engineering; Import and clean raw datasets using native modern JavaScript APIs and fetch protocols; Integrate external AI and LLM APIs to perform automated text analysis and data enrichment; Apply structured prompt engineering techniques directly within your processing scripts; Implement modern error handling and retry logic to ensure reliable pipeline execution; Configure secure runtime permissions to safely manage sensitive API keys and data sources. The course begins with essential Deno concepts, security permissions, and basic file operations before advancing to stream processing and live API integrations. You will read through step-by-step implementations and complete written conceptual exercises to reinforce your understanding. This course is designed for beginner developers, data enthusiasts, and JavaScript or TypeScript programmers who want to explore AI engineering. No prior experience with Deno or data pipelines is required. Start building smarter data workflows today.