This course explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.

Course Prerequisites

To get the most out of the Responsible AI with GitHub Copilot course, it is recommended that participants have:

• Basic familiarity with software development concepts and programming
• Understanding of AI and machine learning fundamentals (recommended but not required)
• Interest in the ethical and regulatory aspects of technology deployment
• A GitHub account and access to GitHub Copilot (optional but helpful for hands-on exploration)

These prerequisites ensure participants can effectively engage with both technical and conceptual aspects of the course.

Target Audience

This course is ideal for a wide range of professionals working in or around AI and software development, particularly those concerned with ethics, governance, and the responsible use of emerging technologies.

• AI Developers and Engineers – Professionals creating and deploying AI systems who must understand responsible development practices
• Data Scientists and Analysts – Individuals working with data and models who aim to ensure fairness, transparency, and accountability
• Business Leaders and Managers – Decision-makers managing AI initiatives who must implement governance and ethical oversight
• Policy Makers and Regulators – Professionals involved in crafting policies or guidelines to ensure safe and ethical AI adoption.

Why Choose us

⭢ Live Online Training (Duration : 8 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

This course provides an in-depth exploration of responsible AI principles and practical usage of GitHub Copilot in a safe, ethical, and efficient manner.

• Understand how GitHub Copilot works and its role in software development
• Learn prompting strategies for generating efficient and accurate code using Copilot
• Identify and mitigate ethical risks associated with generative AI tools
• Explore governance frameworks and regulatory guidelines for responsible AI
• Understand how bias, accountability, and transparency impact AI outputs
• Apply responsible AI principles to real-world software development workflows
• Recognize the implications of AI on intellectual property, data privacy, and compliance
• Foster cross-functional collaboration between developers, business leaders, and policymakers on responsible AI initiatives