SAP AI Core & AI Launchpad Training Course Online Certification
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SAP AI Core & AI Launchpad Training Course Online Certification Course Overview
SAP AI Core & AI Launchpad Training by Multisoft Systems is designed to provide professionals with comprehensive knowledge of enterprise AI development, deployment, and lifecycle management using SAP Business Technology Platform (SAP BTP). As organizations increasingly adopt artificial intelligence to automate business processes and improve decision-making, managing AI models efficiently throughout their lifecycle has become essential. SAP AI Core and SAP AI Launchpad provide a centralized environment for building, deploying, orchestrating, monitoring, and governing AI and machine learning workloads across enterprise landscapes.
This training covers the core capabilities of SAP AI Core and SAP AI Launchpad, including AI model deployment, workflow orchestration, resource management, model lifecycle management, pipeline execution, monitoring, automation, and integration with SAP BTP services. Participants will learn how to deploy machine learning models, manage AI workloads, monitor model performance, and optimize enterprise AI operations using SAP's AI platform.
The course also explores Kubernetes-based execution environments, AI workflows, model versioning, experiment tracking, security, governance, and operational best practices. Learners will gain practical insight into building scalable AI solutions that integrate with SAP applications and enterprise business processes while maintaining reliability, governance, and operational efficiency.
Through hands-on exercises and real-world implementation scenarios, participants will develop the skills required to configure, administer, and optimize SAP AI Core and AI Launchpad environments. By the end of the training, learners will be equipped to support enterprise AI initiatives, manage AI lifecycle operations, deploy production-ready AI models, and accelerate intelligent business innovation using SAP Business Technology Platform.
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SAP AI Core & AI Launchpad Training Course Online Certification Course curriculum
Curriculum Designed by Experts
SAP AI Core & AI Launchpad Training by Multisoft Systems is designed to provide professionals with comprehensive knowledge of enterprise AI development, deployment, and lifecycle management using SAP Business Technology Platform (SAP BTP). As organizations increasingly adopt artificial intelligence to automate business processes and improve decision-making, managing AI models efficiently throughout their lifecycle has become essential. SAP AI Core and SAP AI Launchpad provide a centralized environment for building, deploying, orchestrating, monitoring, and governing AI and machine learning workloads across enterprise landscapes.
This training covers the core capabilities of SAP AI Core and SAP AI Launchpad, including AI model deployment, workflow orchestration, resource management, model lifecycle management, pipeline execution, monitoring, automation, and integration with SAP BTP services. Participants will learn how to deploy machine learning models, manage AI workloads, monitor model performance, and optimize enterprise AI operations using SAP's AI platform.
The course also explores Kubernetes-based execution environments, AI workflows, model versioning, experiment tracking, security, governance, and operational best practices. Learners will gain practical insight into building scalable AI solutions that integrate with SAP applications and enterprise business processes while maintaining reliability, governance, and operational efficiency.
Through hands-on exercises and real-world implementation scenarios, participants will develop the skills required to configure, administer, and optimize SAP AI Core and AI Launchpad environments. By the end of the training, learners will be equipped to support enterprise AI initiatives, manage AI lifecycle operations, deploy production-ready AI models, and accelerate intelligent business innovation using SAP Business Technology Platform.
- Understand the architecture and capabilities of SAP AI Core and SAP AI Launchpad within SAP Business Technology Platform (SAP BTP).
- Learn how to build, deploy, orchestrate, and manage AI and machine learning workloads in enterprise environments.
- Develop expertise in AI model lifecycle management, including deployment, versioning, monitoring, and governance.
- Gain practical knowledge of configuring AI Core execution environments, resource groups, and AI workflows.
- Learn how to create, execute, and manage AI pipelines for training, inference, and automation.
- Build skills in deploying machine learning models using containerized and Kubernetes-based execution environments.
- Understand model monitoring, performance evaluation, experiment tracking, and operational management using SAP AI Launchpad.
- Learn how to integrate SAP AI Core with SAP BTP services, SAP applications, and external AI frameworks.
- Improve enterprise AI governance through security, authorization, resource management, and operational best practices.
- Develop the ability to automate AI operations, manage AI assets, and optimize production AI deployments.
- Support enterprise AI initiatives by implementing scalable, reliable, and secure AI solutions using SAP AI Core and AI Launchpad.
- Apply SAP AI Core and AI Launchpad best practices to accelerate intelligent business processes and enterprise AI adoption.
Course Prerequisite
- Basic understanding of SAP Business Technology Platform (SAP BTP) concepts.
- Familiarity with artificial intelligence, machine learning, or data science fundamentals is beneficial.
- Knowledge of Python programming, APIs, or container technologies is advantageous.
- Understanding of cloud computing, Kubernetes, or Docker concepts is recommended.
- Exposure to SAP applications such as SAP S/4HANA, SAP BTP services, or SAP Business AI is helpful.
- Basic awareness of machine learning model development, deployment, or MLOps practices is beneficial.
- Familiarity with REST APIs, Git, or CI/CD concepts can be an added advantage.
- Basic computer proficiency and experience working with enterprise or cloud applications.
- Experience in SAP development, cloud administration, AI engineering, or software development is useful but not mandatory.
- A willingness to learn enterprise AI deployment, orchestration, lifecycle management, and governance using SAP AI Core and AI Launchpad.
Course Target Audience
- SAP AI Core Consultants
- SAP AI Launchpad Administrators
- SAP BTP Developers
- Machine Learning Engineers
- AI Engineers and Data Scientists
- SAP Technical Consultants
- SAP Integration Consultants
- Cloud Solution Architects
- MLOps Engineers
- DevOps Engineers supporting AI workloads
- Enterprise AI Solution Architects
- Professionals implementing AI, machine learning, and intelligent automation solutions on SAP Business Technology Platform
Course Content
- Overview of SAP Business AI
- Introduction to SAP AI Core
- Introduction to SAP AI Launchpad
- SAP BTP AI Architecture
- Enterprise AI Concepts
- Business Use Cases
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- AI Core Components
- Execution Environment
- Resource Groups
- Kubernetes Fundamentals
- AI Runtime Architecture
- Project Structure
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- AI Launchpad Interface
- AI Scenario Management
- Resource Management
- AI Assets
- Workspace Navigation
- Administration Overview
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- Machine Learning Model Preparation
- Containerization Concepts
- Docker Images
- AI Artifacts
- Model Packaging
- Deployment Readiness
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- Workflow Concepts
- Pipeline Design
- Training Pipelines
- Inference Pipelines
- Workflow Automation
- Pipeline Monitoring
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- Deployment Configurations
- Serving AI Models
- Online and Batch Inference
- Deployment Lifecycle
- Scaling Deployments
- Deployment Best Practices
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- Resource Allocation
- Compute Management
- Scheduling AI Workloads
- Job Execution
- Resource Optimization
- Operational Efficiency
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- Experiment Tracking
- Model Monitoring
- Execution Logs
- Performance Metrics
- Troubleshooting
- Monitoring Dashboards
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- Authentication and Authorization
- User Roles
- Access Control
- AI Governance
- Compliance Considerations
- Secure AI Operations
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- SAP BTP Services Integration
- SAP AI Services
- SAP S/4HANA Integration
- SAP Datasphere Integration
- API Integration
- External AI Framework Integration
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- AI Core Administration
- AI Launchpad Administration
- Project Management
- Version Management
- Backup and Maintenance
- Operational Support
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- AI Workflow Optimization
- Resource Optimization
- Deployment Optimization
- Performance Tuning
- Scalability Strategies
- Operational Best Practices
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- Intelligent Business Process Automation
- Predictive Analytics Use Cases
- AI-Driven Decision Support
- Enterprise AI Deployment Scenarios
- End-to-End AI Lifecycle Management
- Industry Implementation Case Studies
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SAP Implementation, Migration & Support Experts
End-to-end SAP services across transformation, BTP, HANA, cloud, migrations and managed operations.
S/4HANA Transformation
Greenfield, Brownfield and Selective Data Transition to S/4HANA with readiness assessments, conversion planning and smooth business cutover.
- Greenfield Implementation
- Brownfield System Conversion
- Selective Data Transition
- S/4HANA Readiness Assessment
SAP BTP & Integration
Integration Suite, side-by-side extensions, Build Apps, automation and analytics on a clean-core model for modern SAP landscapes.
- BTP Foundation Setup
- Integration Suite
- Extension & Clean Core
- Data & Analytics
HANA & Database
HANA administration, performance tuning, tenant management, backup, recovery and HA/DR design to keep the SAP core stable and fast.
- HANA Administration
- Performance & Tuning
- HA/DR Design & Build
- Backup, Recovery & Refresh
Cloud & Infrastructure
RISE with SAP, hyperscaler landing zones, sizing, monitoring, security, IaC and FinOps for scalable SAP cloud operations.
- RISE with SAP Advisory
- Hyperscaler Landing Zone
- Sizing & Capacity Planning
- Monitoring & FinOps
Migrations & Upgrades
Low-risk SAP migrations, OS/DB moves, release upgrades, Unicode conversion and datacenter relocation with rehearsed cutovers.
- OS/DB Migration
- Release & EHP Upgrades
- Unicode Conversion
- Datacenter / Cloud Migration
Managed Services / AMS
24×7 L1–L3 SAP support, Basis operations, incident management, system refresh and continuous improvement under SLA governance.
- Application Management L1–L3
- Basis Operations
- System Refresh
- Continuous Improvement
SAP AI Core & AI Launchpad 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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- Time limits and countdown timers to manage duration.
SAP AI Core & AI Launchpad Corporate Training
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SAP AI Core & AI Launchpad Training Course Online Certification Trainer Profile
19+ Years Experienced
Our SAP AI Core & AI Launchpad 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 AI Core & AI Launchpad Training Course Online Certification FAQ's
SAP AI Core and SAP AI Launchpad are SAP Business Technology Platform services used to build, deploy, orchestrate, monitor, and manage AI and machine learning models throughout their lifecycle. They help organizations operationalize enterprise AI solutions securely and at scale.
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