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SAP AI Basics AI Core, Copilots & Generative AI

Name: SAP AI Basics AI Core, Copilots &amp; Generative AI
Author: Baturi

SAP AI Basics AI Core, Copilots & Generative AI

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With SAP AI Basics AI Core, Copilots & Generative AI, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 9/2026
Created by High Frequency Works
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 60 Lectures ( 1h 30m ) | Size: 492.4 MB

Design AI copilots for SAP: AI Core, Joule, prompt engineering, BTP integration, and governance - with hands-on labs.

What you'll learn

⚡ Map real SAP business processes (Order-to-Cash, Hire-to-Retire, and more) to identify where AI actually adds value - and where it shouldn't
⚡ Design an end-to-end AI copilot for a specific S/4HANA scenario, from trigger and persona to the exact chat exchange a user would see
⚡ Write grounded prompts using a name-the-object, specify-format, specify-audience discipline that actually works
⚡ Blueprint a real BTP and AI Core integration architecture, plus the governance guardrails production AI needs

Requirements

❗ Basic familiarity with core SAP business processes (sales, procurement, finance, or HR) helps, but isn't required

Description

This course contains the use of artificial intelligence.
SAP is rolling AI into every part of its product line - Joule, AI Core, Generative AI Hub, Business AI - and the pace of that rollout has left a real gap: plenty of people can recite the product names, but very few can actually design where AI belongs in a real SAP process, write a prompt that gets a useful answer instead of a generic one, or explain to a stakeholder why a governance guardrail matters. This course closes that gap directly, with a hands-on, project-based approach instead of a slide-heavy product tour.
You'll work through nine progressively deeper labs, each one building on the last, all following one running example - a delayed-delivery scenario in Order-to-Cash - so you can see concretely how a single business problem gets carried from a one-line opportunity map all the way to a fully designed, governed, and pitched AI solution. That thread is deliberate: most AI courses teach concepts in isolation, but real AI consulting work is about carrying one idea through requirements, design, prompting, architecture, and governance without losing the plot. By the end, you won't just know what AI Core and BTP integration are - you'll have actually designed a copilot that uses them, on paper, in the same level of detail a real project team would expect.
What the course actually covers, module by module
You'll start by learning to look at a real SAP process - Order-to-Cash, Procure-to-Pay, Hire-to-Retire, whichever is closest to your own background - and separate the tasks that are safe to fully automate from the ones that need a human kept firmly in the loop. This isn't a generic "AI is great" framing; it's a concrete judgment call about risk and autonomy that you'll practice making task by task.
From there, you'll get hands-on with a Joule-style sandbox to feel, first-hand, the exact moment a generic copilot's usefulness runs out - the gap between "explain a standard SAP concept" and "answer a question about this specific, real record." That gap is exactly what AI Core and AI Launchpad grounding solves, and you'll build a simple retrieve → call-model → structured-answer orchestration yourself to prove it, using a real before-and-after comparison rather than taking the concept on faith.
With that foundation, you'll design a full AI copilot for one specific S/4HANA scenario - not a feature list, but every panel a real design needs: the trigger, the persona, the input context, the output, and the proposed action, written out as an actual chat exchange a customer service rep would see. You'll then push the same discipline across two systems with a cross-application storyboard - a real hire's journey from SuccessFactors into S/4HANA - because that's exactly where a lot of real AI consulting value gets created, and where most courses stop short.
The middle of the course is where the practical skills compound: you'll build a reusable prompt playbook for your own SAP domain, using a simple three-part discipline - name the object, specify the format, specify the audience - that turns a vague prompt into something a system can actually act on. You'll then blueprint a real integration architecture connecting Fiori, BTP's integration layer, Generative AI Hub orchestration, and AI Core, including a full sequence diagram tracing exactly what happens, system by system, from the moment a question is asked to the moment an action fires.
No AI feature ships responsibly without governance, so you'll draft a real AI usage and governance guide for your copilot - what it's allowed to do autonomously, what always needs a human, how actions get logged and reviewed, and how users flag a wrong answer. And the course closes with a capstone that asks you to do what a real AI consulting engagement actually does: assemble everything from the earlier modules - the storyboard, the prompts, the orchestration, the architecture, the governance guide - into one coherent, client-facing pitch, scored against a real rubric before you call it finished.
What makes this course different
Every lab in this course comes with a full model-answer solution - not just a checklist, but a complete worked example showing the level of specificity a strong submission actually looks like, the reasoning behind each design choice, and how each lab's output feeds directly into the next one. You're not left guessing whether your answer was "good enough" - you can compare your own attempt against a real, detailed reference answer for every single lab, including the capstone.
This is also a course built around genuine SAP scenarios, not generic AI theory borrowed from a different industry. Every example uses real SAP terminology, real system names (S/4HANA, BTP, Fiori, AI Core), and real business pressure points (credit holds, delivery delays, blocked invoices) that anyone with SAP experience will recognize immediately.
By the end of this course, you'll be able to
Look at any SAP process and identify, with real judgment rather than a generic AI checklist, exactly where a copilot adds value and exactly where a human needs to stay in control. Design a complete AI copilot - trigger to action - for a real S/4HANA scenario, on paper, at the level of detail a project team would actually expect to review. Write prompts that get grounded, specific, useful answers instead of generic hedged ones, and explain clearly why the difference matters. Sketch a real integration architecture connecting the pieces of SAP's AI stack, and draft the governance guardrails a production AI feature needs before it ever reaches a real customer. And pitch the whole thing - problem, design, architecture, governance, and business value - the way a real AI consulting engagement presents it to a client.
A closer look at the lab structure
Each of the nine labs follows the same rhythm: a short lecture introduces the concept and shows a worked demo where one exists, then you attempt the lab yourself against a clear, specific brief, and finally you compare your own attempt against a full model-answer walkthrough - its own short video, its own slide deck with real diagrams and tables, not just a bullet-point summary. That model-answer video matters more than it might sound: it's the difference between "did I technically finish the assignment" and "did I actually produce something a real project team would accept." You'll see, lab by lab, exactly what a strong submission looks like at the level of a real credit-limit threshold, a real dollar figure on an approval rule, or a real numbered step in a sequence diagram - not vague generalities.
The running Order-to-Cash example is what ties the whole course together end to end. Lab 1 flags "explaining delayed deliveries to customers" as a high-friction task worth automating. Lab 4 designs the actual copilot for that exact task, panel by panel, down to the real chat exchange a customer service rep would have with it. Lab 6 writes the prompt playbook that copilot would actually use in production. Lab 7 blueprints the real BTP and AI Core architecture underneath it. Lab 8 writes the governance guide that keeps it safe once it's live. And the capstone assembles every one of those pieces into a single client-facing pitch. You watch one idea survive contact with requirements, design, prompting, architecture, and governance - which is a completely different (and far more useful) experience than nine disconnected exercises.
On the SAP-specific detail
A lot of general AI courses are hard to apply directly to SAP work because the examples come from a completely different domain - customer support chatbots for e-commerce, image classifiers, generic productivity copilots. Every example in this course is drawn directly from SAP's own process Language: sales order blocks, credit exposure, goods-issue postings, delivery blocks, PO match status, HCM provisioning tickets. If you already have SAP process experience, that vocabulary will feel immediately familiar, and it means what you learn here transfers directly to a real conversation with a real SAP stakeholder - not just to a portfolio project.
The course also deliberately covers cross-application scenarios, not just single-app examples, because that's where a disproportionate amount of real AI consulting value actually gets created. Lab 5's Hire-to-Retire storyboard traces one candidate's actual journey from SuccessFactors Recruiting all the way into S/4HANA HCM provisioning - a real system handoff, not a single app doing everything internally. Seeing that handoff modeled explicitly is something most single-product training simply doesn't cover.
Why the governance and architecture modules matter as much as the copilot design itself
It's easy to find AI courses that stop at "here's a cool copilot demo." Very few go the extra distance to cover what it actually takes to get that copilot approved for a real production rollout - the integration architecture a solution architect would sign off on, and the governance guide that defines exactly what the AI can do autonomously versus what always needs a human approval click. This course treats those two pieces as first-class content, not an afterthought bolted on at the end, because in real consulting engagements they're very often what determines whether a promising demo actually ships.
A note on pacing and time investment
The course runs just over an hour of core lecture and demo content, plus the nine lab-solution walkthroughs, so you can realistically move through the full curriculum in a single weekend if you're motivated - or spread it over a couple of weeks at a slower pace, attempting each lab properly before watching its solution. Either way, the labs are the actual point of the course: the lecture content is intentionally kept tight and dense, spending its time on the one worked example per concept rather than padding with repetition, so that the real learning time goes into your own attempts at each lab.
By the time you reach the capstone, you won't be assembling six unfamiliar pieces for the first time - you'll be reassembling six things you've already built yourself, each one already proven out in an earlier lab. That's exactly what makes the capstone feel achievable rather than overwhelming, and it's exactly the kind of deliverable a real client-facing AI consulting engagement produces.
If you're ready to move past the product-name-dropping stage and actually design AI solutions for SAP with real specificity and real judgment, this course will get you there - one worked lab at a time.

Who this course is for

⭐ SAP consultants, analysts, and architects who want practical AI literacy for real S/4HANA projects, not just theory

Homepage

https://www.udemy.com/course/sap-ai-basics-ai-core-copilots-generative-ai

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