AI Tooling

About this course

This 20-course specialization takes you from understanding generative Artificial Intelligence (AI) foundation models to deploying production-grade, multi-model systems on Amazon Web Services (AWS). You begin with Amazon Bedrock and Large Language Model (LLM) fundamentals, then progress through prompt architecture, Natural Language Processing (NLP) pipeline design, and AI orchestration patterns that bridge local and cloud inference. Intermediate courses cover enterprise AIOps with Amazon Q Business, AI security and governance with Bedrock Guardrails, performance engineering with Rust-based AWS Lambda functions, and deterministic LLM programming with quality metrics. Advanced courses introduce agentic AI with actor models, multi-modal development using screenshots as prompt context, privacy-conscious coding practices, data pipelines with Deno, and Model Context Protocol (MCP) agent design. The specialization concludes with conversational bot architecture, AI-powered code review automation via GitHub Actions, LLM security vulnerability analysis, production Software as a Service (SaaS) application development, and a capstone project deploying serverless multi-model systems with Cargo Lambda and Amazon Bedrock routing. Every course includes hands-on demonstrations in Rust and Python, automated testing, and containerized deployment workflows.

Course objectives

• Equip learners with skills to deploy AI systems in production
• Foster understanding of prompt architecture and multi-model integration
• Enhance practical coding skills using Rust and Python