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Sap Ai For Sap Abap Consultants
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 157.09 MB | Duration: 0h 48m
Generative AI for SAP ABAP: Joule for Developers, legacy code, ABAP Unit and CDS tests, RAP, and the ABAP AI SDK
What you'll learn
Explain where AI fits in modern SAP ABAP development, and where it does not belong
Describe Joule for Developers capabilities: completion, chat, explanation, ABAP Unit and CDS tests
Use AI more safely for code explanation, generation, refactoring, documentation and testing
Apply a repeatable five-point review checklist to AI-generated ABAP before it moves toward production
Identify dependencies, side effects and hidden business history in inherited and legacy custom code
Understand the ABAP AI SDK architecture, ISLM, SAP AI Core and the generative AI hub
Recognise hallucination, confidentiality, authorization, prompt-injection and model-lifecycle risks
Know how to keep deterministic SAP controls separate from probabilistic LLM output
Prepare stronger design reviews for CDS, RAP, released APIs and clean-core Requirements
Build a practical 90-day AI adoption plan for yourself or your ABAP development team
Requirements
Working ABAP experience - reports, function modules, classes or enhancements is enough
No prior AI, machine learning or prompt-engineering knowledge is required
No SAP BTP, SAP AI Core or ABAP AI SDK experience needed; the architecture is explained from scratch
No system, licence, installation or downloads - this is a slide-and-narration course
Helpful but not required: some exposure to CDS, RAP, ABAP Cloud or clean-core discussions
Description
For years an ABAP developer's value was partly measured by how fast they could produce correct code. Generative AI has quietly removed that measure. Code can be suggested in seconds, an inherited program can be explained on demand, and ABAP Unit tests can be drafted before you have finished reading the requirement. What has not changed is who signs off. Faster generation does not reduce the need to understand ABAP. It increases the need to review it.This one-hour course is for SAP ABAP developers and consultants who want to use AI seriously without becoming careless with it. It covers two distinct stories. The first is AI helping the developer: predictive completion, Joule chat, code explanation, refactoring, ABAP Unit and CDS test generation, documentation and first-pass review. The second is AI inside the application: using the ABAP AI SDK, Intelligent Scenario Lifecycle Management, SAP AI Core and the generative AI hub to add generative capabilities to custom ABAP applications. You follow a fictional consultant, Arjun, as his customer moves toward S/4HANA, CDS, RAP, ABAP Cloud and clean core while management asks the technical team to adopt AI.You do not need any prior AI, machine learning or prompt-engineering background. You do not need SAP BTP experience, an AI Core subscription, a licence, a system, or anything to install. This is a slide-and-narration course, theory and judgement rather than screen demos, so it works whether your project is on-premise, Private Edition, Public Cloud or the BTP ABAP environment.Throughout the course you will learn:• Where AI fits in modern SAP ABAP development, and the practical rule that keeps it safe• What Joule for Developers offers: completion, development chat, explanation, ABAP Unit and CDS test generation• A five-part prompt pattern - context, task, constraints, checks, output - and why narrow beats vague• How to use AI on inherited and legacy code: functional summary, execution flow, dependencies, side effects• Why you should never refactor unusual logic before you know the business history behind it• A five-point review checklist for generated ABAP: correct, released, secure, performant, testable• Mutation thinking - would your generated test actually fail if someone broke the code?• How to work AI into RAP, CDS, released APIs, service definitions and S/4HANA extensions, one object at a time• The ABAP AI SDK architecture and which use cases genuinely deserve an LLM• The AI proposes, ABAP validates, business logic executes pattern, plus prompt injection and design-for-failure• Hallucination, confidentiality, authorization and model-lifecycle risks, and the traceability to keep• A 30-60-90 day adoption plan and a one-page team standard for AI usageBy the end you will be able to use AI to understand, generate, test and document ABAP faster, review what it produces against the standards you already apply to human-written code, keep deterministic SAP controls separate from probabilistic model output, and design an AI-enabled ABAP application you could actually defend in a design review. AI accelerates. You remain accountable.
SAP ABAP developers,ABAP consultants,RAP developers,ABAP Cloud developers,S/4HANA technical consultants,Developers modernising classic custom code,SAP technical leads and development leads,CDS and Fiori backend developers,SAP technical architects,Freelance SAP developers planning their next skills,SAP support and AMS developers inheriting legacy objects
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