Webinar Overview:

This session introduces how GitHub Copilot is transforming modern software development by acting as an AI pair programmer. Participants will explore how developers can accelerate coding, debugging, testing, documentation, and learning while improving code quality and delivery speed. The session also covers practical adoption strategies for engineering teams looking to embed AI into their daily development workflows.

 

Webinar Agenda:

• Evolution of AI-Assisted Software Development
• Understanding GitHub Copilot and its capabilities
• Prompting techniques for effective code generation
• Accelerating coding, debugging and documentation tasks
• Enhancing code quality with AI-assisted reviews
• Real-world developer productivity use cases
• Best practices for enterprise adoption and governance

 

Audience:

Software Developers, Engineering Managers, Technical Leads, Solution Architects, Development Teams, Technology Leaders.

Webinar Overview:

This session focuses on using GitHub Copilot to accelerate the end-to-end application development lifecycle. Participants will learn how AI can assist in designing, developing, testing, refactoring, and maintaining applications while enabling developers to spend more time solving business problems and less time writing repetitive code.

 

Webinar Agenda:

• AI-assisted application development lifecycle
• Generating application components with GitHub Copilot
• Using Copilot for code refactoring and modernization
• Accelerating unit testing and test automation
• Working with APIs, databases and cloud-native applications
• Copilot integration across IDEs and developer workflows
• Practical demonstrations and implementation scenarios

 

Audience:

Application Developers, Full Stack Developers, Software Engineers, Technical Leads, Development Managers, Product Engineering Teams.

Webinar Overview:

As organizations scale GitHub Copilot adoption, governance, security, compliance, and engineering standards become critical. This session explores enterprise deployment models, security controls, responsible AI practices, and strategies for measuring developer productivity and business impact across large engineering organizations.

 

Webinar Agenda:

• Enterprise adoption framework for GitHub Copilot
• Security, compliance and responsible AI considerations
• Managing Copilot across development teams
• Governance policies and code quality controls
• Measuring engineering productivity and AI impact
• GitHub Copilot for platform engineering and DevOps teams
• Future of AI-native software engineering organizations

 

Audience:

Engineering Leaders, CTO Office, Enterprise Architects, Platform Engineering Teams, DevOps Leaders, Security Teams, Technology Decision Makers.