Future of Software Testing in 2026
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →The Generative AI-Powered Software Developer training programme is a practical, hands-on course designed to help software professionals leverage Generative AI across the entire Software Development Lifecycle (SDLC). Participants will learn how to use GitHub Copilot, Copilot Chat, and Agent Mode to accelerate coding, testing, debugging, code reviews, documentation, and software delivery while maintaining quality, security, and governance standards.
Through instructor-led sessions, hands-on labs, real-world development scenarios, and a capstone project, learners will gain the skills required to become AI-powered developers capable of building, testing, reviewing, and delivering modern software solutions faster and more efficiently.
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Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →This program teaches software professionals how to use GitHub Copilot, Copilot Chat, and Agent Mode to accelerate coding, testing, debugging, code reviews, documentation, and software delivery using Generative AI.
This course is ideal for Software Developers, Full Stack Developers, Java Developers, Python Developers, .NET Developers, QA Engineers, Technical Leads, Engineering Managers, and IT professionals looking to adopt AI-powered development practices.
Participants should have basic programming knowledge in any programming language, familiarity with Git and GitHub, Visual Studio Code installed, and access to GitHub Copilot for hands-on exercises.
You will work with GitHub Copilot, Copilot Chat, Agent Mode, Visual Studio Code, GitHub Repositories, Pull Requests, GitHub Actions, and development technologies such as Java, Python, or C#.
Yes. The course covers AI-assisted code generation, design patterns, API development, boilerplate reduction, and best practices for reviewing and validating AI-generated code.
Yes. You will learn AI-powered unit testing, test generation, edge case discovery, debugging techniques, root cause analysis, log analysis, and performance issue investigation using GitHub Copilot.
Agent Mode enables AI-assisted multi-file development, feature implementation, planning, context management, and workflow automation. It helps developers work more efficiently on complex software projects.
Yes. The program includes multiple hands-on labs and a real-world capstone project where participants build, test, debug, review, document, and deliver an application using AI-assisted development workflows.
Yes. The course includes enterprise AI governance topics such as hallucination detection, secure coding practices, secret management, IP considerations, compliance requirements, and human-in-the-loop review processes.
Yes. Participants who successfully complete the hands-on exercises and capstone project will receive a Generative AI-Powered Software Developer Certificate of Completion from Testometer Edutech.
Participants are recommended to have an active GitHub Copilot subscription for practical exercises and hands-on labs.
The course is designed for learners with basic programming knowledge. Prior software development experience will help participants gain maximum value from the training.
Yes. The program can be delivered through live instructor-led online training as well as classroom training formats.
Unlike traditional development courses, this program focuses on using Generative AI throughout the Software Development Lifecycle, helping developers improve productivity, code quality, testing efficiency, and software delivery speed.