Coursera Specializations Applied AI Engineering: Foundation Models to Production (20 Courses) The flagship specialization covering the complete AI engineering lifecycle — from foundation models and prompt architecture through local inference, cloud orchestration, security, and production deployment.
Co-taught with Alfredo Deza.
AWS Generative AI and Foundation Models AWS Intelligent Applications with Amazon Bedrock Prompt Architecture and NLP on Amazon Bedrock AI Orchestration: From Local Models to Cloud Enterprise AIOps with Amazon Q Business AI Security and Governance on AWS AI-Powered Analytics and Performance Engineering CLI Automation with Amazon Q and CloudShell Deterministic LLM Programming Agentic AI: Actor Models and Subagent Architecture AI Debugging and Test-Driven Fixes Multi-Modal AI Privacy-Conscious Development with AI Assistants AI-Powered Data Pipelines with Deno Building Deterministic MCP Agents Conversational Bot Architecture with Rust and Deno AI Code Review Automation with GitHub Actions LLM Security and Vulnerabilities Build a Production SaaS Application with AI AI Tooling Capstone: Serverless Multi-Model Systems Mastering GitHub: From First Commit to Autonomous Agents (9 Courses) Enterprise GitHub administration, AI-assisted development, prompt engineering for code, security, and production applications.
Abstract This book is designed to give you a comprehensive view of cloud computing including Big Data and Machine Learning. A variety of learning resources will be used including interactive labs on Cloud Platforms (Google, AWS, Azure) using Python. This is a project-based book with extensive hands-on assignments.
TOC (Table of Contents) Book Chapter 1: Getting Started
Effective Async Technical Discussions Effective Async Technical Project Management Cloud Onboarding Chapter 2: Cloud Computing Foundations