SAP AI for Analytics and Predictive AI Training
Last updated 9/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 5h 46m | Size: 2.95 GB
Master SAP Analytics Cloud with Smart Predict, forecasting, AI dashboards, and scenario planning.
What you’ll learn
Understand SAP Analytics Cloud for BI, planning, and predictive analytics.
Explore Smart Predict for business forecasting and predictive insights.
Prepare datasets for predictive analytics and AI-driven decision making.
Build SAC models using measures, dimensions, and hierarchies.
Create interactive analytics stories with charts, KPIs, and filters.
Develop classification models for business prediction scenarios.
Build regression models to predict revenue, costs, and business outcomes.
Interpret predictive drivers, confidence scores, and AI explanations.
Publish predictive outputs into SAP Analytics Cloud stories.
Create forecasting models using historical business data.
Analyze trends, seasonality, anomalies, and time-series patterns.
Build demand, revenue, and workforce forecasting models.
Design AI-powered dashboards with predictive insights and KPIs.
Apply Smart Insights for driver analysis and anomaly detection.
Build executive dashboards for finance, HR, and supply chain teams.
Perform what-if analysis using predictive planning scenarios.
Compare multiple planning scenarios for business decision making.
Apply analytics governance and responsible AI reporting practices.
Present predictive analytics using business storytelling techniques.
Deliver end-to-end AI-powered analytics and planning solutions.
Requirements
Basic understanding of SAP Analytics Cloud is helpful.
Familiarity with business reporting concepts is beneficial.
Basic knowledge of Excel or spreadsheet analysis is useful.
No prior predictive analytics experience is required.
No programming or data science background is necessary.
Basic computer and internet navigation skills.
Interest in business intelligence and analytics.
Familiarity with SAP business processes is an advantage.
Access to SAP Analytics Cloud is recommended for practice.
Willingness to build dashboards and predictive models.
Interest in AI-powered business decision making.
Motivation to learn predictive analytics using SAP tools.
Suitable for beginners and business professionals.
Description
This course contains the use of artificial intelligence. TheSAP AI for Analytics, SAC + Predictive AI Training course is designed for business analysts, SAP consultants, analytics professionals, planners, and decision-makers who want to leverage Artificial Intelligence within SAP Analytics Cloud (SAC). This hands-on course teaches how to build predictive models, create intelligent dashboards, perform forecasting, and support business planning using AI-powered analytics capabilities in SAP Analytics Cloud.
The course begins with thefoundations of SAP Analytics Cloud, introducing the SAC landscape, analytics models, planning capabilities, predictive analytics workflows, and Smart Predict. Learners will prepare business datasets, build analytics stories, configure models, and understand the differences between traditional reporting and AI-assisted analytics.
A major focus of the training is onSmart Predict, where participants learn to build classification, regression, and time-series prediction models. Through practical business scenarios, you will predict customer churn, invoice payment risks, revenue trends, delivery durations, procurement spending, and workforce attrition while interpreting prediction confidence, key drivers, and business insights.
The course further exploresforecasting and planning, including sales forecasting, demand planning, inventory forecasting, workforce planning, and scenario modeling. Learners will build planning-ready dashboards that combine historical data, forecasts, predictive insights, and business KPIs to support executive decision-making.
Advanced modules coverAI-powered dashboards, augmented analytics, driver analysis, anomaly detection, narrative insights, what-if analysis, governance, and storytelling with predictive analytics. The course concludes with a comprehensive capstone project where learners create an end-to-end predictive analytics solution, combining AI models, dashboards, forecasting, and planning scenarios for Finance, HR, or Supply Chain use cases.
By the end of this course, learners will confidently build AI-driven analytics solutions using SAP Analytics Cloud to improve forecasting, planning, and enterprise decision-making.
Who this course is for
SAP Analytics Cloud consultants building predictive solutions.
Business analysts using AI for reporting and business insights.
Finance professionals creating forecasting and planning models.
Supply chain professionals improving demand forecasting.
HR analysts building workforce planning and attrition models.
SAP consultants expanding into predictive analytics.
Business intelligence developers creating AI-powered dashboards.
Data analysts using SAP Analytics Cloud for business reporting.
Planning professionals improving budgeting with predictive AI.
Digital transformation teams adopting AI-driven analytics.
Managers making data-driven business decisions.
Organizations training teams on SAP predictive analytics.
Students preparing for careers in SAP Analytics Cloud.
Professionals implementing AI-enabled planning and reporting.
Anyone interested in SAP AI-powered analytics and forecasting.
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