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Duration 21 hours
Course Outline
Day 1 – Core Foundations & Development Setup
Module 1: Introduction to SAP Generative AI (Overview)
- The role of Generative AI within the SAP ecosystem
- Overview of SAP's AI strategy and Business AI initiatives
- Positioning Generative AI in the SAP development lifecycle
- Common enterprise application cases
- Key limitations and recommended best practices
Module 2: Visual Studio Code for ABAP Development
- Installation and configuration of Visual Studio Code
- Essential extensions for SAP workflows
- Establishing connections between VS Code and SAP systems
- Optimizing the development workflow
- Strategies for enhancing productivity
Module 3: Git Essentials for SAP Developers
- Fundamentals of Git
- Understanding repository structures
- Core operations: Clone, Commit, Push, Pull
- Effective branching strategies
- Techniques for resolving merge conflicts
- Collaboration with enterprise repositories
Module 4: Initiating Work with GitHub Copilot
- Installing GitHub Copilot
- Configuration settings
- Effective prompting techniques
- Generating code with AI assistance
- Analyzing and explaining existing code
- Refactoring processes
- Automated documentation generation
Day 2 – GitHub Copilot & Agentic AI
Module 5: Advanced GitHub Copilot Applications
- Context-sensitive prompting
- Strategies for code completion
- Generating unit tests
- Debugging with Copilot support
- Refactoring extensive codebases
- Creating comprehensive documentation
- Best practices for effective prompting
Module 6: Concepts of Agentic AI
- Defining Agentic AI
- Distinguishing AI agents from assistants
- Multi-step reasoning capabilities
- Executing tasks in parallel
- How Agentic AI aids developers during coding sessions
- The human-in-the-loop approach
Module 7: Practical SAP Development Use Cases
Illustrative examples using GitHub Copilot with ABAP:
- Developing classes
- Creating reports
- Building CDS Views
- REST integrations
- OData services
- Implementing error handling
- Optimizing code performance
- Generating documentation
Day 3 – Real-World Scenarios & Best Practices
Module 8: End-to-End Development Scenarios
Participants construct complete development scenarios utilizing:
- VS Code
- Git
- GitHub Copilot
- ABAP
Module 9: Productivity Workflows
- Integrating AI into the development lifecycle
- Reviewing AI-generated code segments
- Ensuring secure coding practices
- Maintaining code quality
- Facilitating team collaboration
Module 10: Advanced Use Cases & Exercises
A series of practical exercises covering:
- Constructing complex prompts
- Addressing specific business scenarios
- Enhancing system performance
- Advanced debugging techniques
- Refactoring legacy code
Module 11: Best Practices & Q&A
- Responsible usage of AI
- Governance frameworks
- Identifying common pitfalls
- Recommended operational workflows
- Open discussion forum
Requirements
Prerequisites
Required Knowledge:
- SAP ERP or SAP S/4HANA architecture fundamentals
- Object-Oriented ABAP programming principles
- Core software development methodologies
Professional Experience:
- SAP ABAP development
- Eclipse ADT (ABAP Development Tools) or comparable SAP development environments
- Creation of reports, classes, interfaces, and function modules
Programming Proficiency:
-
- Intermediate level ABAP programming skills
- Proficiency in Object-Oriented Programming (OOP)
Target Audience
- SAP ABAP Developers
- SAP Technical Consultants
- SAP Software Engineers
- SAP Development Team Leads
- Technical Architects
- Professionals seeking to adopt AI-assisted software development techniques
- Organizations integrating GitHub Copilot and AI-driven practices into their SAP environments
