Agentic AI & Autonomous SAP Delivery Training Online Certification Course

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Transform SAP delivery with intelligent autonomous systems through Agentic AI & Autonomous SAP Delivery Training by Multisoft Systems. Explore AI agents, multi-agent orchestration, SAP Business AI, Joule, SAP BTP, Generative AI Hub, autonomous development, testing, operations, and governance, while gaining practical exposure to AI-driven SAP delivery scenarios.

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Course Highlights

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

Agentic AI & Autonomous SAP Delivery Training Online Certification Course Course Overview

Agentic AI & Autonomous SAP Delivery Training by Multisoft Systems is designed to provide professionals with an understanding of how autonomous AI agents can transform SAP implementation, development, testing, operations, and application management. The course introduces the principles of agentic AI, including reasoning, planning, memory, tool use, goal-oriented execution, and multi-agent collaboration, and connects these capabilities to modern SAP environments.

Participants explore how SAP Business AI, Joule, SAP BTP, AI services, and generative AI capabilities can support intelligent automation across SAP delivery processes. The training examines how agents can interact with enterprise applications, data, APIs, development environments, workflows, and operational tools to perform or assist with complex activities while maintaining appropriate human oversight.

The course further addresses autonomous SAP development, testing, monitoring, incident management, AMS, DevOps, governance, security, and responsible AI practices. Practical scenarios help participants understand how organizations can progress from AI-assisted SAP delivery toward increasingly autonomous delivery models while maintaining reliability, transparency, control, and alignment with enterprise requirements.

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Agentic AI & Autonomous SAP Delivery Training Online Certification Course Course curriculum

Curriculum Designed by Experts

Agentic AI & Autonomous SAP Delivery Training by Multisoft Systems is designed to provide professionals with an understanding of how autonomous AI agents can transform SAP implementation, development, testing, operations, and application management. The course introduces the principles of agentic AI, including reasoning, planning, memory, tool use, goal-oriented execution, and multi-agent collaboration, and connects these capabilities to modern SAP environments.

Participants explore how SAP Business AI, Joule, SAP BTP, AI services, and generative AI capabilities can support intelligent automation across SAP delivery processes. The training examines how agents can interact with enterprise applications, data, APIs, development environments, workflows, and operational tools to perform or assist with complex activities while maintaining appropriate human oversight.

The course further addresses autonomous SAP development, testing, monitoring, incident management, AMS, DevOps, governance, security, and responsible AI practices. Practical scenarios help participants understand how organizations can progress from AI-assisted SAP delivery toward increasingly autonomous delivery models while maintaining reliability, transparency, control, and alignment with enterprise requirements.

  • Understand agentic AI concepts and their role in SAP delivery.
  • Explain agent reasoning, planning, memory, tool usage, and orchestration.
  • Understand how SAP Business AI, Joule, SAP BTP, and generative AI capabilities support intelligent enterprise scenarios.
  • Design agent-driven workflows for SAP business and technical processes.
  • Apply agentic AI concepts to SAP development, testing, operations, and AMS.
  • Understand multi-agent approaches for coordinating complex SAP delivery activities.
  • Identify opportunities for increasing automation across the SAP delivery lifecycle.
  • Apply principles of security, governance, responsible AI, and human oversight to autonomous systems.
  • Design practical enterprise scenarios for autonomous SAP delivery.

Course Prerequisite

  • Basic understanding of SAP applications and enterprise business processes.
  • Familiarity with SAP S/4HANA or other SAP solutions is beneficial.
  • General awareness of artificial intelligence and generative AI concepts is recommended.
  • Basic knowledge of SAP BTP, cloud technologies, or APIs can be helpful.
  • Understanding of software development, testing, DevOps, or SAP delivery processes is advantageous.
  • Prior experience with SAP implementation, support, development, or AMS can support faster learning.
  • Advanced AI programming or machine learning expertise is not mandatory.

Course Target Audience

  • SAP Consultants
  • SAP Technical Consultants
  • SAP Functional Consultants
  • SAP Architects and Solution Architects
  • SAP BTP Professionals
  • SAP Developers
  • ABAP, RAP, and CAP Developers
  • SAP Basis and Operations Professionals
  • SAP AMS Professionals
  • DevOps and Automation Engineers
  • AI and Generative AI Professionals
  • Enterprise Architects
  • Technical Leads and Delivery Managers
  • Digital Transformation Professionals

Course Content

  • Evolution from traditional automation to generative and agentic AI 
  • Understanding autonomous and semi-autonomous AI systems 
  • AI-assisted vs. agent-driven SAP delivery 
  • Characteristics of autonomous agents 
  • Agentic AI opportunities across the SAP lifecycle 
  • Levels of autonomy in enterprise environments 
  • Human-in-the-loop and human-on-the-loop models 
  • Business drivers for autonomous SAP delivery 

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  • Components of an AI agent 
  • Goals, tasks, actions, and environment 
  • Reasoning and decision-making mechanisms 
  • Planning and task decomposition 
  • Short-term and long-term memory concepts 
  • Context management 
  • Tool and function utilization 
  • Agent feedback and iterative execution 
  • Agent execution loops 
  • Handling failures and recovery 

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  • Designing goal-oriented agents 
  • Prompt and instruction strategies for agents 
  • Agent state and context 
  • Memory architectures 
  • Retrieval-augmented agent workflows 
  • Tool selection and invocation 
  • Structured outputs and actions 
  • Reasoning across multi-step SAP tasks
  • Agent evaluation and performance considerations 
  • Managing uncertainty and exceptions 

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  • Introduction to multi-agent architectures 
  • Specialized agents and responsibilities 
  • Supervisor and worker agent patterns 
  • Agent-to-agent coordination 
  • Task routing and delegation 
  • Sequential and parallel agent workflows 
  • Shared context and knowledge 
  • Agent communication patterns 
  • Conflict and exception handling 
  • Multi-agent workflows for enterprise delivery 

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  • Overview of modern SAP landscapes 
  • SAP S/4HANA and cloud environments 
  • SAP BTP in intelligent enterprise architecture 
  • APIs and integration services 
  • SAP extension concepts 
  • Clean Core considerations 
  • SAP application lifecycle processes 
  • SAP development and delivery landscape
  • Enterprise data considerations for AI agents 
  • Identifying agent integration points 

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  • SAP Business AI concepts 
  • Role of Joule in SAP environments 
  • Joule capabilities and enterprise scenarios 
  • AI Foundation concepts 
  • Generative AI capabilities within the SAP ecosystem 
  • Business context and grounding 
  • AI-assisted business processes 
  • Joule-enabled user experiences 
  • Connecting AI capabilities with SAP workflows 
  • Enterprise considerations for SAP AI adoption 

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  • SAP BTP architecture for AI solutions
  • AI services within SAP BTP 
  • Generative AI Hub concepts 
  • Model access and consumption 
  • Prompt management concepts 
  • Grounding enterprise AI applications 
  • Connecting agents with SAP APIs and services 
  • Integration with SAP and non-SAP applications 
  • Designing agentic applications on SAP BTP 
  • Monitoring AI-enabled solutions 

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  • Identifying processes suitable for agentic automation 
  • Mapping business objectives to agent goals 
  • Process decomposition for autonomous execution 
  • Designing agent tools and actions 
  • Connecting agents to SAP transactions and APIs 
  • Approval and escalation mechanisms 
  • Exception handling 
  • Human intervention checkpoints 
  • Agent-driven workflow execution 
  • Cross-functional SAP process scenarios 
  • Maintaining process context and auditability 

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  • AI-assisted SAP development lifecycle
  • Requirement interpretation using AI 
  • Functional-to-technical specification support 
  • Agent-assisted code generation 
  • ABAP, RAP, CAP, and extension scenarios 
  • AI support for code explanation and documentation 
  • Code review and optimization assistance 
  • Clean Core-aware extension approaches
  • Autonomous development workflow concepts 
  • Developer-agent collaboration 
  • Managing generated code quality 

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  • Agentic AI across SAP testing activities 
  • Converting requirements into test scenarios 
  • AI-assisted test case generation 
  • Test data preparation concepts 
  • Automated test execution workflows 
  • Defect identification and classification 
  • Root cause assistance 
  • Regression testing optimization 
  • Agent-based defect remediation workflows 
  • Validation of AI-generated outputs 
  • Quality gates and human approvals 
  • Continuous testing concepts 

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  • Agentic AI for SAP application management 
  • Intelligent monitoring concepts 
  • Event and alert interpretation 
  • Incident classification and prioritization 
  • Automated ticket enrichment 
  • Knowledge retrieval for incident resolution 
  • Root cause analysis assistance 
  • Recommended remediation actions 
  • Autonomous remediation concepts 
  • Predictive issue identification 
  • SLA-aware agent workflows 
  • Continuous learning from operational outcomes 

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  • Agentic AI across the delivery lifecycle 
  • Planning and backlog assistance 
  • Requirements-to-delivery automation 
  • Development and testing coordination 
  • CI/CD integration concepts 
  • Automated quality checks 
  • Release readiness assessment 
  • Deployment support 
  • Change impact analysis 
  • Delivery status intelligence 
  • Agent orchestration across delivery stages 
  • Moving toward continuous autonomous SAP delivery 

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  • Security considerations for autonomous agents 
  • Identity and access control 
  • Agent permissions and authorization boundaries 
  • Data privacy and sensitive information handling 
  • Responsible AI principles 
  • Transparency and explainability 
  • AI output validation 
  • Guardrails and policy enforcement 
  • Audit trails and traceability 
  • Risk-based human approval 
  • Agent monitoring and control 
  • Governance framework for enterprise agentic AI 

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  • Agentic AI for SAP Finance 
  • Agentic AI for procurement and supply chain 
  • Agentic AI for HR processes 
  • Autonomous development scenarios 
  • Autonomous testing scenarios 
  • Intelligent AMS and support scenarios
  • Multi-agent SAP delivery scenario 
  • Selecting suitable processes for autonomy 
  • Designing an enterprise agentic AI architecture 
  • Defining governance and human checkpoints 
  • Measuring business and delivery outcomes 
  • Capstone: Designing an autonomous SAP delivery workflow

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SAP Implementation, Migration & Support Experts

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

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

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Agentic AI & Autonomous SAP Delivery 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 :

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  • 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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Agentic AI & Autonomous SAP Delivery Corporate Training

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Why Agentic AI & Autonomous SAP Delivery Training Online Certification Course for Your Professional Growth

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Industry-Relevant Skills

Gain knowledge aligned with current industry practices, technologies, processes, and professional requirements.

Practical Learning

Understand concepts through practical scenarios, instructor-led discussions, exercises, and use cases.

Enhanced Professional Capability

Strengthen your ability to work confidently with relevant tools, workflows, platforms, and business processes.

Broader Career Opportunities

Add valuable capabilities to your profile and explore opportunities across relevant roles, projects, and industries.

Adapt to Changing Technologies

Stay familiar with evolving technologies, methodologies, and practices shaping modern enterprise environments.

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Demonstrate your training achievement with a course completion certificate from Multisoft Systems.

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Agentic AI & Autonomous SAP Delivery Training Online Certification Course Trainer Profile

19+ Years Experienced

Our Agentic AI & Autonomous SAP Delivery 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.

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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.

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Agentic AI & Autonomous SAP Delivery Training Online Certification Course FAQ's

The training focuses on applying goal-oriented AI agents, generative AI, orchestration, and intelligent automation across SAP development, testing, operations, AMS, and enterprise business processes.

Generative AI primarily produces content or responses, while agentic AI can work toward defined goals by planning tasks, using tools, maintaining context, making decisions within established boundaries, and coordinating actions.

Yes. The course introduces SAP Business AI, Joule, SAP BTP, AI Foundation concepts, and generative AI capabilities relevant to agent-driven SAP scenarios.

Yes. Participants explore specialized agents, supervisor-worker patterns, task delegation, orchestration, shared context, and multi-agent workflows.

Yes. The curriculum covers AI-assisted test generation, execution workflows, defect analysis, regression optimization, quality validation, and agent-based testing concepts.

Yes. It addresses monitoring, incident classification, knowledge retrieval, root cause assistance, remediation workflows, SLA awareness, and intelligent application management scenarios.

Yes. SAP BTP is covered in the context of building, integrating, and operating AI-enabled and agentic solutions within enterprise SAP landscapes.

No. The course emphasizes controlled autonomy, including human approvals, escalation mechanisms, governance, guardrails, and oversight for activities where human judgment remains necessary.

The course is relevant to SAP consultants, developers, architects, BTP professionals, AMS teams, AI professionals, DevOps engineers, technical leads, and professionals involved in SAP transformation and delivery.

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