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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.
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Signature Learning Experience
SAP Business AI Training Program
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Earn an industry-recognized credential and get access to mentor-led guidance throughout your learning journey.

4.9/5 Program Rating
1,549 Learners Enrolled
All level Level
40 hrs Total Duration
English,Hindi Language
Globally trusted accreditations Recognitions that back every SkillsBiz graduate
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Program Overview

Experience a modern, outcome-driven curriculum

Built with industry mentors, this program blends immersive live sessions, simulation projects, and on-demand resources so you can master Mandarin Chinese with confidence.

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

Each element is crafted to accelerate fluency, cultural context, and career readiness.

  • 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
20
Guided Hours
40 hrs.
Program Investment
₹149,500
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Learning Outcomes

Unlock the capabilities that matter in real-world communication

Every module stacks practical language skills with cultural fluency, so you can speak confidently in professional, academic, and social settings.

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.
Certificate

Certificate You'll Receive

Earn an industry-recognized certificate upon successful completion of this course.

SAP Business AI Training Program — Course Certificate
Personalised guidance

Book a discovery call with our program specialists

Get tailored advice on learning paths, certification journeys, and industry opportunities before you enroll.

In a focused 20-minute consultation we map your current proficiency, clarify where you want to get to, and suggest the quickest route to fluency with milestones we can help you hit.

  • Understand the skill gaps holding you back and the modules that can close them in the next cohort.
  • Get a personalised cohort recommendation based on availability, trainer profile, and your weekly bandwidth.
  • Discover global project work and certification add-ons that enhance Mandarin credentials on your CV.

Reserve your slot

Share your details and we will connect within 24 hours to set up a personalised walkthrough.

Curriculum Architecture

Structured modules that build fluency session after session

Explore the complete roadmap—from foundational vocabulary to advanced professional expressions—crafted with practical immersion in mind.

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
Upcoming Batches

Pick a schedule that fits your routine

We run multiple live cohorts so you can line up a batch with your goals, weekly bandwidth, and preferred mode of learning.

New cohorts are being planned

Share your interest and we will notify you as soon as the next batch opens.

Learner Voices

Stories from professionals who accelerated with SkillsBiz

Hear how learners leveraged mentor feedback, immersive projects, and certification support to reach their Mandarin goals.

H
Hiba Khan
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.
K
Kavita Rao
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 with AI knowledge.
S
Shraddha Iyer
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 work.
P
Paramjeet Singh
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.
V
Vivek Kulkarni
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 era of intelligent automation.
R
Rakesh Nambiar
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 using AI tools to automate and analyze processes in SAP.
Frequently Asked Questions

Your questions, answered in one place

Everything you need to know before you commit—from certification timelines to support during the program.

The course is 40 hours long.
The price of the course is INR 149500.
Basic knowledge of SAP is recommended but not mandatory.
You will receive a certificate of completion for the SAP Business AI Training Program.
Yes, you will have lifetime access to the course materials.
Yes, the course is conducted online for your convenience.
Absolutely, you can ask questions at any time during the course.
Yes, we offer a 30-day money-back guarantee if you're not satisfied.
Yes, group discounts are available for teams enrolling together.
The course is taught in English.

Global recognitions that power your profile

We are trusted by leading accreditation bodies, ensuring your certificate is respected by employers worldwide.

Nasscom Certification Six Sigma Certification ISO Certification MSME Certification ISO 9001 Certification Startup India Certification EU Certification MCA Certification Future Skills Certification Nasscom Logo
Awards & Recognitions

Celebrated for excellence in outcome-driven education

Our pedagogy, learner outcomes, and mentor network have been acknowledged by industry councils and global education forums.

Ready to fast-track your SAP Business AI Training Program mastery?

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