SAP Business AI Training Online Certification Course

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Advance your understanding of intelligent enterprise solutions with SAP Business AI Training by Multisoft Systems. This comprehensive program explores SAP Business AI, Joule, embedded AI capabilities, SAP BTP AI services, generative AI, AI-assisted business processes, integration, governance, and enterprise use cases. Through instructor-led sessions and practical exercises, participants learn how AI capabilities can support smarter decisions, automate business activities, and enhance operations across the SAP landscape.

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Customized Learning Schedule
  • Doubt-Clearing Sessions

SAP Business AI Training Online Certification Course Course Overview

SAP Business AI Training by Multisoft Systems is a comprehensive program designed to help professionals understand how artificial intelligence and generative AI capabilities are integrated across the SAP ecosystem to support intelligent business operations. The course covers SAP Business AI concepts, Joule, embedded AI, SAP Business Technology Platform (SAP BTP), AI Foundation, generative AI hub, SAP AI Core, and SAP AI Launchpad.

Participants explore how SAP Business AI can support automation, contextual assistance, business insights, recommendations, information processing, and improved decision-making across enterprise processes. The curriculum also examines practical AI applications in finance, procurement, supply chain, human resources, sales, customer experience, and service, helping learners understand the relevance of AI across different business functions.

The training further introduces generative AI concepts, large language models, prompt engineering, enterprise data integration, APIs, AI-enabled extensions, and workflow automation. Participants also gain awareness of responsible AI, security, privacy, governance, compliance, and human oversight considerations associated with enterprise AI adoption.

Through practical exercises and business-oriented scenarios, learners gain exposure to how SAP Business AI capabilities can be applied within real-world SAP environments. Upon completion, participants will have a well-rounded understanding of SAP’s AI landscape and its role in enhancing productivity, operational efficiency, intelligent automation, and enterprise transformation.

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SAP Business AI Training Online Certification Course Course curriculum

Curriculum Designed by Experts

SAP Business AI Training by Multisoft Systems is a comprehensive program designed to help professionals understand how artificial intelligence and generative AI capabilities are integrated across the SAP ecosystem to support intelligent business operations. The course covers SAP Business AI concepts, Joule, embedded AI, SAP Business Technology Platform (SAP BTP), AI Foundation, generative AI hub, SAP AI Core, and SAP AI Launchpad.

Participants explore how SAP Business AI can support automation, contextual assistance, business insights, recommendations, information processing, and improved decision-making across enterprise processes. The curriculum also examines practical AI applications in finance, procurement, supply chain, human resources, sales, customer experience, and service, helping learners understand the relevance of AI across different business functions.

The training further introduces generative AI concepts, large language models, prompt engineering, enterprise data integration, APIs, AI-enabled extensions, and workflow automation. Participants also gain awareness of responsible AI, security, privacy, governance, compliance, and human oversight considerations associated with enterprise AI adoption.

Through practical exercises and business-oriented scenarios, learners gain exposure to how SAP Business AI capabilities can be applied within real-world SAP environments. Upon completion, participants will have a well-rounded understanding of SAP’s AI landscape and its role in enhancing productivity, operational efficiency, intelligent automation, and enterprise transformation.

  • Understand the concepts and enterprise relevance of SAP Business AI.
  • Explore the SAP Business AI ecosystem and its major capabilities.
  • Understand the role of Joule across SAP applications and business processes.
  • Examine embedded AI functionality available within SAP solutions.
  • Gain familiarity with AI capabilities available through SAP Business Technology Platform.
  • Understand generative AI concepts in the context of SAP environments.
  • Explore generative AI hub capabilities and enterprise LLM scenarios.
  • Understand the purpose and functionality of SAP AI Core and SAP AI Launchpad.
  • Identify AI opportunities across finance, procurement, supply chain, HR, sales, and customer experience.
  • Understand AI-enabled automation and intelligent business processes.
  • Explore approaches for connecting AI services with SAP applications and enterprise data.
  • Understand APIs, extensions, and integration considerations for AI-enabled scenarios.
  • Examine responsible AI principles, security, governance, and compliance considerations.
  • Evaluate SAP Business AI use cases based on organizational requirements.
  • Apply course concepts through practical exercises and enterprise-oriented scenarios.

Course Prerequisite

  • Basic understanding of SAP applications and enterprise business processes is beneficial.
  • Familiarity with SAP S/4HANA, SAP BTP, or other SAP solutions can help participants understand integration scenarios.
  • Basic awareness of artificial intelligence, machine learning, or generative AI concepts is useful but not mandatory.
  • Programming experience is not mandatory for understanding the core course concepts.

Course Target Audience

  • SAP Consultants
  • SAP Functional Consultants
  • SAP Technical Consultants
  • SAP BTP Professionals
  • SAP Solution Architects
  • SAP Application Consultants
  • SAP Integration Consultants
  • SAP S/4HANA Professionals
  • Business Analysts
  • AI and Machine Learning Professionals
  • Enterprise Architects
  • Digital Transformation Professionals
  • Data and Analytics Professionals
  • Business Process Consultants
  • IT Managers and Technology Leads
  • Professionals involved in SAP AI initiatives
  • Professionals seeking knowledge of enterprise generative AI

Course Content

  • Artificial Intelligence in the enterprise environment
  • Introduction to SAP Business AI
  • Evolution of AI within the SAP ecosystem
  • Business AI versus traditional enterprise automation
  • AI, machine learning, and generative AI concepts
  • Role of business context in enterprise AI
  • Data, applications, and AI within SAP landscapes
  • Benefits and limitations of enterprise AI
  • Common SAP Business AI scenarios
  • Understanding AI-assisted business processes

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  • Overview of the SAP Business AI ecosystem
  • Business applications and AI capabilities
  • Embedded, extended, and custom AI scenarios
  • Relationship between SAP applications, data, and AI
  • SAP BTP within the Business AI landscape
  • Role of enterprise data in AI-enabled processes
  • Connecting business context with AI services
  • Intelligent automation across enterprise workflows
  • Identifying suitable Business AI opportunities
  • Business value considerations for AI adoption

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  • Understanding the SAP AI technology landscape
  • Application, data, integration, and AI layers
  • Embedded AI architecture concepts
  • SAP BTP services supporting AI scenarios
  • Enterprise data sources for AI applications
  • AI service consumption patterns
  • Interaction between SAP and external AI services
  • APIs and service-based AI integration
  • Authentication and authorization considerations
  • Landscape planning for enterprise AI
  • Scalability and operational considerations

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  • Introduction to Joule
  • Role of Joule within SAP applications
  • Conversational interaction with enterprise applications
  • Natural-language interaction concepts
  • Context-aware AI assistance
  • Information retrieval and business insights
  • AI-assisted navigation and task execution
  • Joule across business functions
  • Joule and SAP business data
  • Generative AI-assisted user experiences
  • Business scenarios for Joule
  • Adoption considerations for enterprise users
  • Security and access considerations
  • Practical Joule-oriented scenarios

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  • Understanding embedded AI
  • AI functionality integrated into business applications
  • Predictive and recommendation capabilities
  • Intelligent classification
  • Document and information processing
  • AI-assisted decision support
  • Pattern identification and business insights
  • Process automation with embedded intelligence
  • AI-supported exception handling
  • User productivity scenarios
  • Embedded AI across SAP business functions
  • Evaluating embedded AI opportunities
  • Business benefits and adoption considerations

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  • Introduction to SAP Business Technology Platform for AI scenarios
  • Understanding AI Foundation concepts
  • AI services within SAP BTP
  • Connecting applications, data, and AI
  • Enterprise AI lifecycle concepts
  • Generative AI capabilities on SAP BTP
  • AI workload management concepts
  • Integration with SAP applications
  • Extension scenarios using SAP BTP
  • Connectivity with external AI technologies
  • Authentication and security considerations
  • Monitoring AI-enabled solutions
  • Enterprise architecture considerations

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  • Introduction to generative AI in SAP environments
  • Understanding large language models
  • Foundation models and enterprise use cases
  • Introduction to generative AI hub
  • Accessing generative AI models
  • Model selection considerations
  • Prompt engineering fundamentals
  • Prompt design for business scenarios
  • Context and grounding concepts
  • Working with enterprise information
  • Model parameters and response behavior
  • Generating summaries and business content
  • Information extraction scenarios
  • Question-answering use cases
  • LLM orchestration concepts
  • Responsible use of generative AI
  • Practical enterprise GenAI scenarios

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  • Introduction to SAP AI Core
  • Role of SAP AI Core in enterprise AI
  • AI workload execution concepts
  • AI scenarios and configurations
  • Resource and workload considerations
  • Machine learning lifecycle overview
  • Deployment concepts for AI workloads
  • Managing AI operations
  • Introduction to SAP AI Launchpad
  • Centralized AI scenario management
  • Monitoring AI workloads
  • Managing deployments and executions
  • Operational visibility
  • Governance considerations
  • AI Core and generative AI scenarios
  • Troubleshooting concepts
  • Practical AI lifecycle scenario

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  • SAP Business AI opportunities in finance
  • Intelligent financial operations
  • AI-assisted accounting activities
  • Financial data interpretation
  • Forecasting and predictive insights
  • Anomaly and exception identification
  • Cash and working-capital scenarios
  • AI-supported financial planning
  • Automated information classification
  • Generative AI for financial summaries
  • AI-assisted reporting and analysis
  • Finance user productivity scenarios
  • Business considerations for finance AI

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  • AI opportunities across supply chain processes
  • Demand and supply insights
  • Inventory-related intelligence
  • Predictive supply chain scenarios
  • Exception identification and prioritization
  • Procurement intelligence
  • Supplier-related AI scenarios
  • Spend analysis concepts
  • AI-assisted sourcing activities
  • Contract and document intelligence
  • Generative AI for procurement information
  • Operational recommendations
  • AI-assisted supply chain decision-making
  • Enterprise use cases and practical scenarios

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AI for Human Resources

  • AI-supported HR processes
  • Employee experience scenarios
  • Talent and skills intelligence
  • AI-assisted HR information retrieval
  • Generative AI for HR productivity
  • Responsible AI considerations for workforce scenarios

AI for Sales

  • AI-supported sales processes
  • Opportunity and customer insights
  • Sales recommendations
  • Generative AI-assisted sales content
  • Account and interaction summaries
  • Sales productivity scenarios

AI for Customer Experience and Service

  • AI within customer engagement processes
  • Intelligent service assistance
  • Case and interaction summarization
  • Customer inquiry scenarios
  • AI-generated response assistance
  • Knowledge retrieval
  • Customer experience personalization
  • Service productivity and automation

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  • Understanding integration requirements for Business AI
  • Connecting SAP applications with AI capabilities
  • API-based AI consumption
  • SAP BTP integration concepts
  • Event-driven AI scenarios
  • AI-enabled application extensions
  • Combining AI with workflow automation
  • Business process automation scenarios
  • Integrating enterprise data with AI services
  • Connecting external AI models and services
  • Authentication and secure connectivity
  • Error handling and resilience considerations
  • Monitoring integrations
  • Performance and scalability considerations
  • End-to-end integration scenario

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  • Introduction to responsible enterprise AI
  • Responsible AI principles
  • Transparency and explainability
  • Human oversight of AI-assisted decisions
  • Bias and fairness considerations
  • Data privacy in AI scenarios
  • Enterprise data protection
  • Identity and access management considerations
  • Secure AI service consumption
  • Generative AI security considerations
  • Prompt and input-data risks
  • AI output validation
  • Governance frameworks
  • AI risk assessment
  • Compliance considerations
  • Monitoring and auditing AI usage
  • Organizational policies for AI adoption
  • Establishing responsible AI practices

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  • Identifying a suitable Business AI opportunity
  • Mapping business requirements to AI capabilities
  • Selecting an appropriate SAP AI approach
  • Exploring a Joule-based business scenario
  • Designing a generative AI use case
  • Creating and refining business prompts
  • Working with contextual enterprise information
  • Evaluating generated responses
  • Exploring AI-assisted finance scenarios
  • Exploring procurement and supply chain scenarios
  • Exploring HR, sales, and service scenarios
  • Designing an AI integration workflow
  • Considering security and governance requirements
  • Evaluating business value and implementation feasibility
  • Preparing an enterprise AI adoption approach
  • End-to-end SAP Business AI case study

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Service Portfolio

SAP Implementation, Migration & Support Experts

End-to-end SAP services across transformation, BTP, HANA, cloud, migrations and managed operations.

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Greenfield, Brownfield and Selective Data Transition to S/4HANA with readiness assessments, conversion planning and smooth business cutover.

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  • Selective Data Transition
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SAP BTP & Integration

Integration Suite, side-by-side extensions, Build Apps, automation and analytics on a clean-core model for modern SAP landscapes.

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  • Integration Suite
  • Extension & Clean Core
  • Data & Analytics
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HANA & Database

HANA administration, performance tuning, tenant management, backup, recovery and HA/DR design to keep the SAP core stable and fast.

  • HANA Administration
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  • Backup, Recovery & Refresh
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Cloud & Infrastructure

RISE with SAP, hyperscaler landing zones, sizing, monitoring, security, IaC and FinOps for scalable SAP cloud operations.

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  • Monitoring & FinOps
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  • Application Management L1–L3
  • Basis Operations
  • System Refresh
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SAP Business AI Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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SAP Business AI Corporate Training

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Learning Assessment

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Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

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  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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SAP Business AI Training Online Certification Course Trainer Profile

19+ Years Experienced

Our SAP Business AI Training Corporate & Certification Program trainers bring 13+ years of proven industry expertise, delivering practical insights aligned with real project environments.

Trained 3950+ Professionals

Our expert trainers have successfully trained 3350+ professionals through structured, real-time training programs designed for industry readiness and career growth.

Certified Experts & Real-Time Project Learning

Build strong practical skills through live project-based training sessions led by certified industry experts with real-world experience.

Hands-on Learning Approach

Gain practical exposure through real-time scenarios, industry case studies, and hands-on assignments that simulate actual project challenges.

Certification Training Guidance

Receive expert support to prepare effectively, practice strategically, and confidently achieve globally recognized certification success.

Customized Training Delivery

Flexible training approach tailored to individual learning goals, skill levels, and evolving industry requirements for maximum effectiveness.

SAP Business AI Training Online Certification Course FAQ's

SAP Business AI refers to artificial intelligence capabilities incorporated across SAP applications, technology platforms, and business processes to provide contextual insights, recommendations, automation, generative AI assistance, and improved decision support.

The training covers SAP Business AI concepts, Joule, embedded AI, SAP BTP AI capabilities, generative AI, SAP AI Core, SAP AI Launchpad, functional business scenarios, integration, security, governance, and responsible AI.

Yes. The curriculum includes a dedicated module covering Joule, conversational interaction, contextual assistance, enterprise information access, business scenarios, and its role within the SAP ecosystem.

Yes. Participants explore generative AI concepts, large language models, generative AI hub, prompt engineering, enterprise grounding concepts, model considerations, and practical GenAI scenarios.

Yes. The training introduces SAP AI Core and SAP AI Launchpad, including AI workload concepts, deployment, operations, monitoring, lifecycle management, and governance considerations.

Yes. Functional consultants can benefit from the course because it examines AI use cases across finance, procurement, supply chain, HR, sales, customer experience, and service processes in addition to the underlying technology concepts.

Programming knowledge is not mandatory for understanding the main curriculum. Technical familiarity can be useful for participants who want to focus more deeply on AI integration, APIs, extensions, and SAP BTP scenarios.

The curriculum examines AI scenarios across finance, procurement, spend management, supply chain, human resources, sales, customer experience, and service, along with cross-functional enterprise use cases.

Yes. A dedicated module addresses responsible AI, security, privacy, human oversight, transparency, bias considerations, AI risk, governance, compliance, monitoring, and enterprise policies.

To contact Multisoft Systems, you can email us at info@multisoftsystems.com or call for a course enquiry on this number +91 9810306956

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