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Implementing AI-Native Enterprise to Achieve Business Outcomes/
Building Ecosystem and Infrastructure

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Introducing the AI-Native Paradigm Shift

Understanding the Need for AI-Native Approach for Enterprise Business Systems7 min
Understanding AI-Native North Star Architecture10 min
Quiz

Understanding the Four Architectural Layers

 Explaining the User Experience Layer Evolution6 min
Explaining the Process Layer Transformation5 min
Explaining the Foundation Layer as Intelligent Core9 min
Explaining the Platform Layer as Enterprise Agent Foundation8 min
Quiz

Ensuring Trust, Integration, and Governance

Describing Intelligence-driven Integration4 min
Describing Security Principles for Agentic Systems3 min
Embedding AI Ethics and Governance in Agentic Architectures10 min
Quiz

Building Ecosystem and Infrastructure

Explaining the Marketplace for Agents, Tools, and Extensions5 min
Describing Cloud Deployment Models for AI-Native Operations5 min
Ensuring Operational Excellence in AI-Native Clouds10 min
Quiz

The Path Forward with AI-Native North Star Architecture

Identifying Use Cases Where AI-Native Architecture Delivers Value6 min
Describing AI-Native Architecture in the Quantum Era10 min
Quiz

Introducing the AI-Native Paradigm Shift

Understanding the Need for AI-Native Approach for Enterprise Business Systems7 min
Understanding AI-Native North Star Architecture10 min
Quiz

Understanding the Four Architectural Layers

 Explaining the User Experience Layer Evolution6 min
Explaining the Process Layer Transformation5 min
Explaining the Foundation Layer as Intelligent Core9 min
Explaining the Platform Layer as Enterprise Agent Foundation8 min
Quiz

Ensuring Trust, Integration, and Governance

Describing Intelligence-driven Integration4 min
Describing Security Principles for Agentic Systems3 min
Embedding AI Ethics and Governance in Agentic Architectures10 min
Quiz

Building Ecosystem and Infrastructure

Explaining the Marketplace for Agents, Tools, and Extensions5 min
Describing Cloud Deployment Models for AI-Native Operations5 min
Ensuring Operational Excellence in AI-Native Clouds10 min
Quiz

The Path Forward with AI-Native North Star Architecture

Identifying Use Cases Where AI-Native Architecture Delivers Value6 min
Describing AI-Native Architecture in the Quantum Era10 min
Quiz

Knowledge quiz

It's time to put what you've learned to the test, get 5 right to pass this unit.

1.

Which deployment model is specifically designed to extend sovereign capabilities directly into a customer's selected or owned data centers?

Choose the correct answer.

Public Cloud

Private Cloud

SAP Sovereign Cloud

SAP Sovereign Cloud On-Site

2.

How does a stateless programming model support the elasticity of AI workloads in a cloud environment?

Choose the correct answer.

It externalizes state to managed databases and caches to enable seamless scaling.

It uses AI algorithms to continuously monitor systems for unusual patterns.

It ensures that all owned data centers operate on 100% renewable energy.

It provides end-to-end visibility into agent actions and reasoning processes.

3.

Which cloud deployment model is characterized by a shared, multi-tenant infrastructure and offers the highest economies of scale?

Choose the correct answer.

Public Cloud

Private Cloud

SAP Sovereign Cloud

SAP Sovereign Cloud On-Site

4.

Which foundational pillar of the SAP Ecosystem Layer provides semantic grounding to reduce hallucinations in AI responses?

Choose the correct answer.

SAP Business Accelerator Hub

SAP Business Data Cloud

SAP Knowledge Graph

Unified Metadata Service

5.

Which capability in SAP cloud solutions ensures continuous operation by allowing for maintenance with minimal or no interruption to services?

Choose the correct answer.

Near-Zero Downtime Maintenance

Disaster Recovery Across Regions

Standardized Tooling

High Availability

6.

What is the primary purpose of the SAP AI Agent Hub within the ecosystem?

Choose the correct answer.

To serve as a central repository for public datasets

To manage the full lifecycle of agents including registration and governance

To provide a standardized protocol for application resource description

To link natural language inputs to structured metadata