Build skills in responsible AI and GitHub Copilot for modern development. Learn prompt engineering, AI-assisted coding, testing, automation, and secure workflows. Gain hands-on experience through a practical calculator project and productivity-focused developer exercises.
AI-assisted development is transforming software creation. This course teaches responsible AI principles while showing how GitHub Copilot enhances coding productivity, automation, debugging, testing, and workflows. Explore ethical AI practices, privacy considerations, governance, and generative AI limits in real-world development. Start with responsible AI foundations, including fairness, transparency, human validation, and risk mitigation. Learn Copilot features, subscription models, privacy boundaries, workspace indexing, and configuration in Visual Studio Code. Progress to prompt engineering, prompt files, agent skills, custom instructions, and AI-assisted coding workflows. Hands-on learning includes testing strategies, debugging, secure coding, SDLC support, and productivity measurement. Apply your skills in a practical calculator project using GitHub Copilot for planning, building, styling, testing, and documenting an AI-assisted application. This course is for developers, DevOps engineers, and beginners exploring AI-assisted coding with GitHub Copilot. It suits teams adopting responsible AI and secure development practices. Basic programming knowledge, familiarity with Visual Studio Code, and software development fundamentals are recommended. This course follows a practical, workflow-driven learning approach focused on real-world developer productivity. Learners progress from responsible AI fundamentals to advanced GitHub Copilot workflows, prompt engineering, testing, and automation techniques. Hands-on demonstrations and a complete application project reinforce practical implementation skills throughout the course. This course is based on GH-300 - GitHub Copilot - Complete Exam Preparation Guide, by Anton Voroniuk and Dmytro Vasyliev. Copyright © 2026 Anton Voroniuk All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.
