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Automation With Amazon Q
Published 9/2025
Created by Vimal Daga
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 8 Lectures ( 1h 44m ) | Size: 1.1 GB[/center]

Unlock the power of Amazon Q to code smarter, automate better, and scale faster.
What you'll learn
Set up and use Amazon Q Developer inside IDEs like VS Code to generate automation code.
Write and debug AWS automation scripts (EC2, Lambda, S3, etc.) with Q Developer.
Generate and optimize Terraform and Python code for AWS infrastructure.
Apply enterprise security, compliance, and best practices automatically to generated code.
Build custom business apps inside Amazon Q to streamline enterprise workflows.
Use Amazon Q Business to connect and query multiple data sources with natural language.
Requirements
Curiosity to explore how AI can accelerate cloud automation and business intelligence.
Description
Amazon Q is AWS's enterprise-focused Generative AI service that is transforming the way developers, engineers, and enterprises work. Unlike general-purpose AI tools such as ChatGPT or Copilot, Amazon Q is built on AWS's 17+ years of internal knowledge base and delivers enterprise-ready solutions for code generation, debugging, testing, and data intelligence.In this course, you'll learn how to use Amazon Q Developer to write and optimize AWS automation code directly in your IDE. You'll see how comments and prompts can generate complete Python and Terraform scripts, apply enterprise-grade security practices, and even create automated test cases.Beyond development, you'll explore Amazon Q Business, which connects multiple data sources (Google Drive, Excel, PDFs, and more) and enables you to query them with plain English prompts. You'll also discover how to build custom business apps that streamline workflows for your teams without requiring deep coding knowledge.Through hands-on sessions, you will:Explore Generative AI in AWS and why Amazon Q is differentGenerate AWS automation scripts with Q Developer (Python & Terraform)Apply industry-grade compliance and security automaticallyQuery and analyze enterprise data using natural languageBuild and publish custom business apps with Q BusinessBy the end of this course, you'll be able to confidently use Amazon Q to automate AWS development, manage enterprise data, and create custom AI-powered applications giving you an edge in modern cloud and AI-driven industries.
Who this course is for
Cloud engineers looking to accelerate AWS automation with AI.
DevOps engineers exploring enterprise-ready AI assistants.
Python and Terraform developers wanting to improve code generation and testing.
Data and business analysts who want to query enterprise data with natural language.
IT professionals and students curious about Amazon Q Developer and Q Business.
Enterprise teams seeking AI-driven productivity tools for development and data analysis.