Enroll in the all-inclusive SAP AI Core Training Course to excel in the future of AI on SAP BTP. Acquire hands-on experience with generative AI, predictive AI, APIs, management, security, surveillance, and troubleshooting. This course includes official SAP documentation, interactive labs, practical demonstrations, and a completion certificate. Limited seats are available! Ideal for professionals and aspirants looking to enhance their SAP career.

Session 1 – Introduction to SAP AI Core

1. What Is SAP AI Core?

• Overview of SAP AI Core

• Main Features

• AI Scenario Lifecycle

• Introduction to Generative AI Hub

• Pipeline Execution

• Model Serving

• Lifecycle Management

• Multi-Tenancy

• Supported Environments

• Architectural Overview

• Components of AI Core

• AI Launchpad

• AI API

• External Components

  • Git Repository

  • Docker Repository

  • Object Store

  • Kubernetes

  • Argo Workflows

  • KServe

1.1 Billing & Pricing

• Standard vs Extended Plans

• Metering for Generative AI

• Metering for Predictive AI

• Capacity Units

• Consumption Information

• Examples of Pricing

Session 2 – What's New & Core Concepts

Recent Updates in SAP AI Core

• Recent Enhancements in AI Core

• Updates to Generative AI Hub

• New Foundation Models

• Changes to Service Plans

• Features for Prompt Optimization

• Recent Improvements to the Platform

Core Concepts

• Introduction to AI API

• Implementations of AI API Runtime

• Resource Groups

• Scope of Resources

• Overview of Generative AI Hub

Session 3 – Initial Setup

Activation of SAP AI Core

Cloud Foundry

• Create a Subaccount

• Activate Cloud Foundry

• Set Up a Space

• Add Service Plan

• Create Service Instance

• Generate Service Key

• Utilize Service Key

Kyma Environment

• Activate SAP AI Core in Kyma

Overview of Tutorials

Session 4 – Administration (Part 1)

Git Repository Management

• Add a Git Repository

• Edit a Git Repository

• Remove a Git Repository

Application Management

• Create an Application

• List Existing Applications

• Edit an Application

• Delete an Application

Resource Groups Management

• Resource Group Level Resources

• Create a Resource Group

• Edit a Resource Group

• Delete a Resource Group

Session 5 – Administration (Part 2)

Managing Object Store Secrets

• Register an Object Store Secret

• Edit an Object Store Secret

• Delete an Object Store Secret

Managing Docker Registry Secrets

• Register a Docker Registry Secret

• Edit a Docker Registry Secret

• Delete a Docker Registry Secret

Managing Generic Secrets

• Create a Generic Secret

• Retrieve Generic Secrets

• Update a Generic Secret

• Delete a Generic Secret

• Utilize Generic Secrets

Session 6 – Administration (Part 3)

Managing mTLS Certificate Secrets

• Create an mTLS Certificate Secret

• Consume an mTLS Certificate Secret

• List mTLS Certificate Secrets

• Retrieve Secret Details

• Rotate mTLS Certificate

• Delete an mTLS Certificate Secret

APIs & API Extensions

Libraries & SDKs

Content Packages

Session 7 – Advanced Features & Security

Advanced Features

AI Content as a Service

• Service Custom Resource

• Getting Started as a Service Provider

• Billing

• Offboarding Procedures

• Shared Resource Groups

Security

• Overview of Security Features

• Encryption during Transmission

• Authentication & Management

• Docker Images

• AI Content Security Measures

• Kubernetes Security Features

• Configuration Data & Secrets

• Output Encoding

• Multi-tenancy

• Audit & Logging

• Data Protection & Privacy

Session 8 – Monitoring, Troubleshooting & Service Lifecycle

Features for Accessibility

Monitoring & Troubleshooting

• Repository-Related Issues

• Configuration-Related Issues

• Artifacts

• Application Monitoring

• Job Executions

• Docker Issues

• Deployment Problems

• Miscellaneous Problems

Support Procedures

Offboarding of Services