Getting Started with SAP AI Core in SAP BTP A Simple Path for Beginners
Posted on November 23, 2025 by Laeeq Siddique
Introduction
Increasingly, AI is no longer the sole purview of data scientists but is becoming a core competency for every Read the Article SAP makes AI more accessible to businesses However, with SAP AI Core, a powerful yet easy-to-use platform embedded within the SAP Business Technology Platform (SAP BTP) that enables teams to develop, edit, deploy and operate AI models at scale.
Therefore, whether you’re brand new to the AI landscape or are continuing to educate yourself on SAP’s intelligent enterprise vision, SAP AI Core provides a clutter-free, structured approach for newbies. Not only seasoned data scientists but also first-time users can embark on AI journey without a deep technical background thanks to an automated infrastructure, embedded orchestration, simple integrations and deployment by SAP AI Launchpad.
Additionally, With this blog, I’d like to take you on an easy, guided journey through a beginner-friendly way of getting started with SAP’s AI Core service and explain how it’s positioned within the wider world of AI in SAP BTP. Let’s begin.
Understanding SAP AI Core
SAP AI Core, as the execution and orchestration engine at the core of all such AI workloads in SAP BTP. Therefore, It is responsible for the end-to-end lifecycle of AI models from training and deployment to monitoring and scaling.
What SAP AI Core Does
Running and operating ML workloads
Model Execution Infrastructure ELT is an online system and it requires a model execution infrastructure to scale on the web site traffic in different locations simultaneously. Additionally, Connect to SAP AI Launchpad for deployment & metadata. Provides enterprise-class security, monitoring and governance However, Seamlessly integrates with SAP and other systems
Key Functionalities
Model Execution:
Training and retraining of algorithms as well as inference in performant, scalable infrastructure.
AI Launchpad Integration:
Centrally orchestrate AI models, pipelines, deployments and endpoints.
Scalable Deployment:
Automatically adjust available compute resources according to demand.
API-driven operations:
All of AI Core is accessible through APIs—no black box here.
Start small and easy S A P A I C ore is the right learning path for beginners to make AI infrastructure management as simple as possible and Consequently, create an environment with zero effort from scratch!
SAP AI Core in SAP BTP:
A Step-by-Step Guide Just some ideas or how-to for using the platform 1.
Here is an elementary “how to” guide for anyone (connoisseurs are exempted) in making use of SAP’s AI core.
Step 1: Prepare Your SAP BTP Environment
You should configure your SAP BTP environment before you start working with AI Core.
Steps:
- Log into SAP BTP Cockpit
- Create or access your subaccount
- Get the Enable to SAP’s AI Core service
- Assign entitlements and quotas
- Create service instances as required
Beginner Tip
Similarly, SAP offers templates in the cockpit so you don’t have to set up everything on your own, Furthermore just start as small as possible.
Step 2: Enter SAP AI Launchpad and Navigate Around it
SAP AI Launchpad is the UI layer, where you’ll be working with your AI assets.
Features You Can Enjoy in AI Launchpad:
- Browse and organize AI models
- View experiments and training jobs
- Deploy models as endpoints
- Monitor performance
- Manage model versions
Why Beginners Love It
As a result, It eliminates the need to work with Docker containers, Kubernetes or compute clusters manually – workflows guide you along the way.
Step 3: Serve your first AI model
You can even begin learning with examples or with pre-built templates, As a result even if you don’t have custom models of your own yet.
Common Steps to Deploy a Model:
- You will need to prepare your model artifact (TF, PyTorch or Scikit-learn).
- Upload Your Code Repository or Connect to Github.
- Configure runtime parameters
- Execute the training job
- Expose the model as a REST end point
- Test an endpoint with a sample input
Monitoring
Finally SAP’s core AI platform delivers logs, However ,metrics and execution details for beginners to understand how the model is used in real time.
Practical Use Cases for Beginners
You don’t have to learn complex data science projects in order to get a start. On the other hand, the SAP’s core AI platform allows to explore simple introductory use cases:
- Predictive Sales Analytics
Fit simple forecast models to CSV sales data. - Document Classification
Use pre-trained NLP models to classify business documentation. - Customer Sentiment Analysis
Review emails, tickets or survey texts. - Demand Forecasting for Inventory
Begin with ML lite to forecast stocks. - Image Recognition for Quality Checks
Experiment with some of the more straightforward image classification problems which have established, publicly available data sets.
Consequently, These scenarios need little in the way of setup and work to educate newcomers about real-world AI processes.
Advantages: What Makes SAP AI Core the Best?
Moreover, With SAP AI management layer , organizations gain significant competitive advantage particularly novices moving into AI-led development.
Benefits Include:
- Fully managed infrastructure
- Cloud-native execution using Kubernetes
- Enterprise security and governance
- Integration with SAP S/4HANA, SAP SuccessFactors and SAP BTP apps
- Multi-tenant scalability
- Simple API-based workflows
You can also search on the SAP community blog for some insights only.
How SAP AI Core Fits In SAP BTP’s AI Strategy
SAP AI management layer is an integral part of SAP`s Generative AI and Business AI roadmap:
AI Core → Execution infrastructure Aso we head deeper:
AI Launchpad → Operations management layer
AI Foundation → the end-to-end AI framework at SAP
{Joule (SAP AI Assistant) } → consumes outputs of the AI Core
Additionally, Novices are advantaged, since nothing is strung together haphazardly.
Additional Best Practices for Beginners
Start with Small Workloads
Don’t start with models that are too big the first time start with simple data.
Use Pre-built Missions
SAP Discovery Center missions for beginners Hands-on.
Keep Track of Everything in AI Launchpad
Versioning, Experiments and Comparisons All three are aimed at helping you learn faster.
Integrate with Business Applications
Invoke your AI models in SAP solutions through APIs.
Explore SAP Learning Journeys
SAP also offers off-the-shelf beginner paths for AI building.
Conclusion
Consequently, SAP AI Core on SAP BTP is one of the easiest and most beginner-friendly ways to get you started in your enterprise-wise AI journey. Overall, it simplifies the utilization of infrastructure, offers a model deployment that’s both simplified and guided, enables seamless integration with its tools and includes sophisticated orchestration suitable for people new to Kubernetes and experts at managing it.
Cremencing Solutions is your partner to enable organizations realize the intelligent future with SAP AI management layer . From first steps in AI to scale, our skilled team always has your SAP BTP journey covered. For more insights on SAP, check out our detailed blog on Top 7 Secrets to a Successful SAP ECC to S/4HANA Migration to deepen your understanding.
Ready to start your SAP AI adventure?
SAP Cremencing Solutions SAP Custom Development: If our standard functionality was not fulfilling your requirement, Moreover you can develop the custom code to meet the requirement from the Talk to your us and start you journey to an Intelligent Enterprise today!
FAQs:
What is SAP AI Core?
AI execution and orchestration service within SAP BTP that takes care for training, deployment and scaling of AI model.
Do I have to be an expert in data science to use SAP AI Core?
No, new users can get started using templates, guided workflows and sample models available in AI Launchpad.
Will SAP AI Core work with other SAP applications?
Yes. It integrates out-of-the-box with SAP S/4HANA, SAP SuccessFactors, SAP BTP apps, and SAP Build tools.
Can I integrate with non-SAP using SAP AI Core?
Absolutely. it can be integrated with external apps and APIs, suiting hybrid or multi-cloud environments.
How do I track my AI models?
Leverage SAP AI Launchpad monitoring screens, logs and metrics, as well as version control.
What kind of models can I put into production?
Any model created with libraries such as TensorFlow, PyTorch, Scikit-learn and custom Python-based inference pipelines.
Can SAP AI Core be used for production scenarios?
Yes. It’s built for enterprise level scale out with reliability, governance and scale.
Is Generative AI part of SAP AI Core?
Yes. SAP AI management layer is a group of services that powers generative AI models on and communicates with SAP Joule and AI Foundation.