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Amazon Q Developer Beginner Training for Python

via Coursera

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

2 weeks, 3 hours a week
Sessions

Self-Paced
Level

Beginner
Subtitles

English

Found in

Part of

Essential AI Powered Developer Tools Certification

Overview

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Master Amazon Q Developer and prompt engineering for Python development. This course covers Amazon Q Developer setup, AI-assisted coding, prompt engineering, safe prompting, output verification, Python project development, structured workflows, and software testing. Build practical skills through hands-on demos to create, validate, test, and improve reliable Python applications using Amazon Q. By the end of this course, you will be able to: - Set up and use Amazon Q Developer for Python coding - Apply prompt engineering fundamentals and safe prompting - Create structured problem statements for AI-assisted development - Verify AI-generated outputs for accuracy and reliability - Build professional Python projects with structured workflows - Apply unit, integration, and end-to-end testing - Use Amazon Q to support reliable AI-assisted development Ideal for beginners, students, Python developers, programmers, and aspiring AI developers with basic Python knowledge. No prior experience with Amazon Q Developer or prompt engineering is required.

Syllabus

Foundations of Amazon Q Developer and Prompt Engineering
- Build a strong foundation in Amazon Q Developer and prompt engineering for Python. Learn how AI assistance supports software development, explore Amazon Q Developer features, and set up the tool for practical coding tasks. Understand prompt engineering fundamentals and write structured problem statements that generate more relevant outputs. Gain hands-on experience with Amazon Q through setup, basic prompts, and practical Python development workflows.
Prompt Engineering and Python Project Development
- Learn prompt engineering and Python project development with Amazon Q. Explore safe prompting, output verification, and techniques for creating effective AI-assisted coding workflows. Build professional Python projects using structured development practices and apply unit, integration, and end-to-end testing strategies. Gain hands-on experience with Amazon Q through demos covering prompt engineering, Python project structure, testing, and reliable AI-assisted development.