You'll build a solid understanding of the core concepts, terminology, and fundamentals of SAP Automotive, giving you a strong foundation to build on.

You'll get hands-on experience with industry-relevant SAP Automotive tools and workflows through guided exercises, so you learn by doing rather than just reading theory.

The SAP Automotive course is designed around how SAP Automotive is actually applied to solve real-world problems in professional settings, not just textbook scenarios.

You'll develop the practical skills needed to confidently work with SAP Automotive on the job, so you're ready to contribute from day one in a SAP Automotive role.

Yes, the SAP Automotive course includes real-time projects and case studies that reinforce concepts through practice, giving you portfolio-ready work by the end.

The SAP Automotive course is structured to help you prepare for relevant certifications and interviews, covering the concepts and terminology employers and exam boards expect.

SAP Automotive is a set of SAP capabilities designed to support automotive manufacturers, suppliers, distributors, and dealers. It can support processes such as vehicle management, production planning, procurement, supply chain, sales, warranty, aftermarket operations, and analytics.

The Edubrights curriculum covers automotive components including IS-Auto, IPPE, SCM, and AFS, along with integration with SAP S/4HANA and SAP Manufacturing. These components support different areas of automotive production, supply chain, sales, and aftermarket operations.

SAP IS-Auto is an industry-specific SAP solution area designed to support automotive business processes. It can cover areas such as vehicle management, customer order management, dealer processes, and automotive-specific enhancements.

The Vehicle Management System (IS-A-VMS) supports automotive vehicle-related processes such as procurement, sales, distribution, returns, trade-ins, and service processing. It provides capabilities for managing and tracking vehicle information across relevant business processes.

Vehicle master data contains information used to identify and manage a vehicle throughout its lifecycle. Depending on the process, this can include the vehicle model, variant, configuration, identification information, stock status, and related business data.

VIN (Vehicle Identification Number) management is used to identify individual vehicles. SAP automotive processes can associate vehicle information and warranty-related data with the relevant vehicle identification number.

Vehicle configuration represents the selected characteristics and options associated with a vehicle. It allows automotive organizations to manage different models, variants, features, and configuration combinations during ordering and production processes.

Vehicle stock management tracks vehicles available within relevant organizational locations and distribution channels. It can support processes such as vehicle allocation, transfers, dealer stock management, and delivery tracking.

Dealer network management supports interactions between manufacturers, importers, distributors, and dealers. SAP automotive dealer capabilities can support vehicle sales, spare-parts procurement, warranty processing, and related dealer activities.

Dealer order management handles vehicle orders received through the dealer network. It can support order entry, vehicle configuration, availability checks, order tracking, and downstream delivery processes.

Automotive production planning coordinates production requirements with vehicle demand, material availability, capacity, and assembly processes. It helps manufacturers plan production programs and manage vehicle manufacturing schedules.

Integrated Product and Process Engineering (iPPE) is used to represent product structures and production processes in a structured way. In automotive scenarios, it can support model-mix planning, product variants, production structures, and assembly-line planning.

Model-mix planning determines the sequence or mix of different vehicle models and variants that need to be produced. It helps manufacturers balance customer demand with production capacity and assembly-line constraints.

Just-in-Time (JIT) aims to deliver required materials close to the time they are needed in production. In automotive manufacturing, JIT processes help reduce unnecessary inventory while ensuring components are available for planned assembly operations.

Just-in-Sequence (JIS) extends the just-in-time concept by supplying components in the exact sequence required for production. It is particularly useful when different vehicle configurations are assembled consecutively on the same production line.

Sequence planning determines the order in which vehicles or production units are processed on an assembly line. The sequence can consider factors such as vehicle configuration, material availability, production capacity, and manufacturing constraints.

Production program management coordinates planned vehicle production with demand, manufacturing capacity, and supply requirements. It helps organizations translate production requirements into executable manufacturing plans.

Automotive supply chain management coordinates material procurement, supplier collaboration, inventory, production supply, warehousing, and distribution. SAP solutions can connect these activities across OEMs, Tier-1 suppliers, logistics partners, and dealers.

Supplier collaboration enables manufacturers and suppliers to exchange information related to requirements, schedules, deliveries, and inventory. It can improve visibility between automotive manufacturers and their supplier networks.

EDI (Electronic Data Interchange) enables structured business information to be exchanged electronically between organizations. The Edubrights curriculum covers automotive standards and message formats including ODETTE, VDA, and ANSI X12.

Kanban is a pull-based replenishment approach used to trigger material movement or replenishment based on actual consumption. It can help automotive manufacturers and suppliers manage repetitive material requirements efficiently.

Scheduling agreements define long-term procurement relationships and planned delivery requirements with suppliers. Release information can communicate updated quantities and delivery schedules based on production requirements.

Vendor-Managed Inventory (VMI) is a supply-chain model in which the supplier participates in monitoring and replenishing inventory at the customer's location. It can improve replenishment coordination and reduce supply disruptions.

SAP Automotive procurement processes can manage purchasing requirements, supplier relationships, purchase orders, deliveries, and inventory replenishment. These processes can be integrated with production planning and supply-chain requirements.

Automotive inventory optimization aims to maintain sufficient material and vehicle stock while avoiding excessive inventory. SAP planning and warehouse capabilities can help monitor demand, supply, stock levels, and replenishment requirements.

Warehouse management handles activities such as receiving, storage, stock movements, picking, and goods issue. In automotive environments, it can support both production-related materials and aftermarket spare parts.

Available-to-Promise (ATP) checks whether products or vehicles can be confirmed based on available or expected supply. In automotive order management, ATP can support vehicle order confirmation and delivery planning.

Order-to-delivery management tracks a vehicle order from initial booking through production, allocation, delivery, and related completion activities. It provides visibility into the progress of customer or dealer vehicle orders.

Warranty management supports the administration and processing of vehicle and parts warranty information and claims. SAP automotive warranty capabilities can manage warranty conditions, categories, claims, and related processes.

Warranty claim processing handles claims submitted for eligible vehicle or parts warranty services. SAP capabilities can support claim information, warranty determination, processing, and related dealer or manufacturer activities.

A warranty profile can contain multiple warranty categories and define warranty conditions such as applicable time periods or mileage limits. SAP can use warranty profiles to determine relevant warranty information for vehicles.

Goodwill claim management handles customer-service situations where an organization provides support beyond standard contractual warranty conditions. It can be used to manage exceptional service or cost-coverage scenarios.

Recall management supports processes related to identifying affected vehicles or components and coordinating required corrective actions. It can involve vehicle identification, dealer communication, service processing, and tracking.

Aftermarket parts management handles spare-parts planning, pricing, availability, fulfillment, returns, and related lifecycle activities. SAP automotive processes can support spare-parts operations after the original vehicle sale.

Spare Parts Planning (SPP) supports planning and replenishment of aftermarket spare parts. It can help organizations manage demand, stock levels, service requirements, and supply across distribution networks.

Parts supersession occurs when an existing spare part is replaced by a newer or alternative part. Managing supersession helps organizations maintain accurate catalogs and ensure that suitable replacement parts are available.

Quality management supports inspection, defect identification, supplier quality, corrective actions, and compliance-related processes. The Edubrights curriculum also covers automotive quality practices such as IATF 16949, APQP, PPAP, FMEA, control plans, and 8D reports.

IATF 16949 is an automotive quality-management standard used within the automotive supply chain. SAP quality processes can be configured and used to support organizational quality-management and compliance activities.

APQP (Advanced Product Quality Planning) provides a structured approach to quality planning, while PPAP (Production Part Approval Process) supports demonstrating that production processes and parts meet defined requirements. Both are important concepts in automotive supplier and manufacturing quality processes.

Failure Mode and Effects Analysis (FMEA) is used to identify potential failures, their causes, effects, and associated risks. It helps organizations identify preventive or corrective measures before failures affect production or customers.

An 8D report provides a structured method for investigating and resolving quality problems. It typically covers problem definition, containment, root-cause analysis, corrective actions, and prevention of recurrence.

Connected-vehicle processes can integrate vehicle-generated information with enterprise systems and analytics platforms. The Edubrights curriculum covers telematics integration, connected-car analytics, remote diagnostics, predictive maintenance, and EV-related processes.

Telematics integration connects vehicle-generated data with backend systems for analysis and business processing. Such data can support monitoring, diagnostics, maintenance, fleet services, and connected-vehicle applications.

Predictive maintenance uses available operational or sensor information to identify conditions that may indicate future maintenance requirements. In connected-vehicle environments, analytics can help organizations plan maintenance before certain failures occur.

SAP automotive solutions can be used alongside manufacturing, supply-chain, logistics, and analytics capabilities to support EV-related business processes. EV scenarios can involve battery-related supply chains, production planning, vehicle configuration, connected data, and service operations.

Automotive analytics uses operational and business data to monitor production, sales, supply chains, quality, warranty costs, and other performance indicators. Dashboards and KPIs can help organizations analyze trends and support operational decisions.

SAP Analytics Cloud (SAC) can be used to create dashboards and analytical views for business performance information. In automotive scenarios, analytics can cover areas such as production performance, sales, supply-chain visibility, warranty costs, and supplier quality.

SAP Automotive processes can integrate with SAP S/4HANA business functions covering areas such as sales, procurement, inventory, manufacturing, logistics, and finance. The specific integration architecture depends on the SAP products, release, and implementation landscape.

The Edubrights course includes projects covering Automotive Production Planning, Supplier Collaboration and Procurement Management, Automotive Inventory Optimization, Vehicle Order-to-Delivery Management, and Warranty and After-Sales Service Management. These projects provide practical exposure to automotive manufacturing, supply-chain, vehicle, and service workflows.

The training can help develop skills in SAP IS-Auto, Vehicle Management System, VIN management, vehicle configuration, IPPE, model-mix planning, JIT/JIS, production planning, automotive supply chain, EDI, supplier collaboration, procurement, inventory, warehouse management, dealer processes, warranty, aftermarket parts, quality management, connected vehicles, EV processes, and automotive analytics. These topics align with the technical curriculum published on the Edubrights SAP Automotive course page.