ERP

SAP Business AI Training Program

Unlock the power of AI in business with our comprehensive SAP Business AI Training Program. Dive into practical applications and leverage AI to drive business success.

Hands-on SAP integration labs — build, train, and deploy AI/ML models within SAP environments (practical exercises and real-world system workflows). End-to-end AI & ML pipeline training — algorithms, feature engineering, model evaluation, deployment, monitoring, and MLOps practices tailored to SAP landscapes. Business use-case driven learning — predictive analytics, demand forecasting, process automation, governance, and ROI-focused implementation strategies.

4.9

Program rating

1,549+

Learners enrolled

40 hrs

Total duration

English,Hindi

Language

This program includes

Live, mentor-led classes Recognized certificate Placement support Hands-on projects Lifetime access

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All level level
Live, mentor-led classes
Recognized certificate
Placement support

Program overview

About this program

This ERP program blends live, mentor-led sessions with hands-on projects and real-world case studies, so you build genuinely job-ready skills — not just theory. You'll learn from working industry experts, apply what you learn on practical assignments, and finish with a portfolio, a recognized certificate, and dedicated placement support to help you land the right role.

Unlock the power of AI in business with our comprehensive SAP Business AI Training Program. Dive into practical applications and leverage AI to drive business success.

This 40-hour course offers in-depth knowledge on integrating AI within SAP systems. You'll learn about AI algorithms, machine learning, data analytics, and how to implement these technologies in real-world SAP environments.

Why learners love this program

Hands-on SAP integration labs — build, train, and deploy AI/ML models within SAP environments (practical exercises and real-world system workflows).
End-to-end AI & ML pipeline training — algorithms, feature engineering, model evaluation, deployment, monitoring, and MLOps practices tailored to SAP landscapes.
Business use-case driven learning — predictive analytics, demand forecasting, process automation, governance, and ROI-focused implementation strategies.

Lectures

Hours

All level

Level

Globally trusted accreditations

Recognitions that power your profile

Trusted by leading accreditation bodies — so your certificate is respected by employers worldwide.

Learning outcomes

What you'll be able to do

Explain core AI, machine learning, and data analytics concepts and algorithms relevant to business scenarios.

Describe SAP platforms and services for AI integration (e.g., SAP S/4HANA, SAP HANA, SAP Data Intelligence, SAP AI Core, SAP AI Business Services, SAP Analytics Cloud).

Extract, clean, and prepare enterprise data from SAP systems for machine learning, including feature engineering and ETL best practices.

Select and apply appropriate ML algorithms for classification, regression, clustering, and time-series problems in business contexts.

Build, train, validate, and optimize machine learning models using common frameworks and SAP toolchains.

Deploy and operationalize AI models within SAP landscapes, integrating model endpoints with SAP S/4HANA and business process flows.

Design and implement end-to-end AI solutions covering data pipelines, model serving, APIs, and user-facing applications.

Create interactive dashboards and visualizations in SAP Analytics Cloud to translate model outputs into actionable business insights.

Design and deploy conversational AI (chatbots) using SAP Conversational AI for improved user interactions and process automation.

Apply MLOps principles—model/version control, CI/CD, automated testing, monitoring, and retraining—to maintain production readiness.

Evaluate model performance using relevant metrics, and ensure model explainability, fairness, and bias mitigation for trustworthy AI.

Implement security, privacy, and governance controls for AI projects in SAP environments, including data protection and access management.

Identify high-impact AI use cases, develop a business case with KPIs and ROI estimates, and prioritize implementations.

Integrate AI with intelligent automation and RPA to streamline SAP business processes and reduce manual effort.

Troubleshoot, scale, and optimize AI solutions for performance, reliability, and cost-efficiency in real-world SAP deployments.

Lead cross-functional AI initiatives and effectively communicate technical concepts and outcomes to business stakeholders.

Curriculum

Structured modules that build real skills

16 modules · designed for progressive, hands-on learning.

Overview of AI in SAP

Summarize the role of AI within SAP ecosystems and its impact on business processes.

1.50 hrs

Business Impact and Use Cases

Identify key business scenarios where AI enhances SAP operations and drives value.

1.00 hrs

Core Concepts of AI Algorithms

Explain foundational AI and machine learning concepts relevant to SAP applications.

1.50 hrs

Statistical Foundations

Describe basic statistical methods used to inform model selection and evaluation.

1.00 hrs

Supervised and Unsupervised Methods

Differentiate supervised and unsupervised techniques and where each applies in SAP use cases.

1.00 hrs

Neural Networks and Deep Learning Basics

Outline the fundamentals of neural networks and their practical relevance to SAP data.

0.50 hrs

Algorithm Selection Guidance

Provide criteria for choosing algorithms based on data characteristics and business goals.

1.00 hrs

Model Evaluation and Metrics

Interpret key evaluation metrics and select appropriate metrics for SAP scenarios.

1.00 hrs

Optimization and Hyperparameter Tuning

Describe techniques for optimizing model performance and tuning hyperparameters.

1.50 hrs

SAP Data Models and Sources

Identify common SAP data models and methods to access relevant enterprise data.

1.00 hrs

Data Extraction and Integration

Explain approaches to extract, consolidate, and integrate data for AI pipelines in SAP.

1.50 hrs

Data Cleaning and Transformation

Apply techniques to clean and transform SAP data for reliable model training.

1.00 hrs

Feature Engineering for SAP Data

Create and evaluate features that improve model performance in SAP contexts.

0.50 hrs

Storage and Governance Considerations

Outline storage strategies and governance requirements for enterprise AI data.

1.00 hrs

Model Architecture within SAP

Design model architectures that align with SAP system constraints and integration needs.

1.50 hrs

Selecting Models for Business Use Cases

Match model types to specific SAP business problems and success criteria.

1.00 hrs

Deployment Strategies in SAP

Compare deployment patterns for integrating models into SAP landscapes.

1.00 hrs

Monitoring and Maintenance

Describe methods for ongoing monitoring, retraining, and lifecycle management of models.

0.50 hrs

Operationalizing Models at Scale

Plan for scaling models and ensuring performance under production workloads.

1.00 hrs

APIs and Workflow Integration

Define integration points and API patterns to embed AI into SAP workflows.

1.00 hrs

Performance Optimization and Scaling

Apply techniques to optimize runtime performance and resource usage for SAP deployments.

1.50 hrs

SAP AI Toolset Overview

Summarize key SAP tools and platforms used to build AI solutions.

1.50 hrs

Development Workflows and Tooling

Describe development workflows and best practices for building within SAP toolchains.

1.00 hrs

Deployment Platforms (Cloud and On-Premise)

Compare cloud and on-premise options for deploying SAP AI solutions.

1.00 hrs

CI/CD and Automation for SAP AI

Explain CI/CD practices and automation techniques for repeatable AI deployments.

1.50 hrs

Industry-specific Implementations

Analyze real-world examples of AI integrated into different SAP-driven industries.

1.00 hrs

Outcomes, KPIs, and Lessons Learned

Extract measurable outcomes and lessons to inform future SAP AI projects.

0.50 hrs

Translating Case Insights into Action

Develop actionable plans to apply case study insights to your own SAP environment.

1.00 hrs

Governance and Lifecycle Management

Establish governance practices to manage AI model lifecycle and compliance within SAP.

1.00 hrs

Change Management and User Adoption

Plan for organizational change and strategies to drive adoption of AI solutions.

1.00 hrs

Bias, Fairness, and Compliance

Assess and mitigate bias while meeting regulatory requirements in SAP AI projects.

1.00 hrs

Privacy and Responsible AI

Implement privacy-preserving practices and responsible AI principles in enterprise settings.

1.00 hrs

Emerging Technologies and Capabilities

Explore upcoming AI technologies and how they may impact SAP capabilities.

1.00 hrs

Strategic Roadmaps and Opportunities

Formulate strategic roadmaps to leverage future AI trends within SAP landscapes.

1.00 hrs

Project Planning and Design

Define a capstone project scope, success metrics, and implementation plan for an SAP AI solution.

2.00 hrs

Implementation, Validation, and Presentation

Execute the project, validate results against KPIs, and present findings and recommendations.

2.00 hrs

Your credential

The certificate you'll earn

Earn an industry-recognized certificate on successful completion of this program.

SAP Business AI Training Program certificate

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Reviews

What our learners say

I enjoyed learning how SAP integrates machine learning and predictive analytics. The sessions were well-paced, and the examples made complex ideas easy to understand. It’s a valuable course for anyone in the tech or business domain.

HKHiba Khan

The sessions were interactive and focused on real-world business applications. I liked how the trainer demonstrated predictive insights and automation tools. It’s the perfect course for professionals aiming to upgrade their SAP skill set wi...

KRKavita Rao

The SAP Business AI course was eye-opening. The trainer explained how AI helps organizations make smarter decisions using SAP data. The hands-on exercises were easy to follow, and I’ve already started applying some of these techniques at wo...

SIShraddha Iyer

I found this training both inspiring and practical. The live sessions focused on how AI tools enhance SAP efficiency, and the real-time demonstrations made learning engaging. I’d definitely recommend this course to my peers.

PSParamjeet Singh

This program helped me understand how AI is transforming SAP modules and business operations. The sessions were clear, engaging, and filled with real-world examples. It’s an excellent course for professionals looking to stay relevant in the...

VKVivek Kulkarni

The SAP Business AI course gave me a solid understanding of how artificial intelligence integrates with enterprise systems. The trainer explained each concept with practical business cases, making it easy to relate. I now feel confident usi...

RNRakesh Nambiar

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