Generative AI for Developers

Audience

• An understanding of basic software development concepts
• Experience with any programming language
• Familiarity with software development tools and environments

• Software developers
• Technical team leads
• Product managers

Course Customization Options

Format of the Course

By the end of this training, participants will be able to:

Generative AI is a transformative technology in software development. It can streamline development processes, enhance developer productivity, and improve code quality.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate generative AI into their software development lifecycle (SDLC).

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

• To request a customized training for this course, please contact us to arrange.

• Understand the role and capabilities of generative AI in software development.
• Utilize AI tools for coding, debugging, and code reviews.
• Apply AI techniques for efficient root cause analysis.
• Implement AI features to enhance the software development process.
• Evaluate ethical considerations and best practices for AI in development.

AI in Code Reviews

AI-Assisted Coding

Case Studies

Debugging with AI

Ethical Considerations and Best Practices

Hands-On Workshops

Introduction to Generative AI in Software Development

Root Cause Analysis with AI

Summary and Next Steps

• Automated error detection
• AI in static code analysis
• Dynamic analysis with AI support

• Automating code review processes
• AI for code optimization suggestions
• Ensuring code standards with AI

• Data-driven approach to problem-solving
• AI algorithms for identifying issues
• Predictive analytics for preventing future errors

• Ethical use of AI in software development
• Best practices for integrating AI into the SDLC
• Balancing human expertise with AI capabilities

• Interactive sessions with AI coding tools
• Group projects on AI-assisted debugging
• Peer reviews using AI-generated insights

• Predictive coding with AI
• Code generation and autocompletion tools
• Enhancing code quality with AI insights

• Real-world examples of AI in the SDLC
• Success stories and lessons learned
• Future trends in AI for software development

• Understanding Generative AI
• The role of AI in the SDLC
• Overview of AI-driven development tools