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Digital Experience

Adobe Experience Platform (AEP) Training

Master Real-Time Customer Profiles, XDM Data Modeling, and Omnichannel Activation

4.8(1,050 students)
40 Hours
Beginner to Advanced
Adobe AEPXDM SchemaCustomer Data PlatformReal-Time ProfileIdentity ServiceData Governance
Adobe Experience Platform (AEP) Training

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Live Online
Classroom
Self-Paced
Weekend Batches Available
Lifetime Access to Recordings

Course Overview

This comprehensive training program equips you with the essential skills and knowledge required to effectively utilize the Adobe Experience Platform (AEP). The course covers fundamental concepts, core features, and practical applications of AEP, empowering learners to leverage this powerful platform to create personalized customer experiences across various channels and drive data-driven marketing.

Who Should Learn

Data Engineers and MarTech Architects
Digital Marketing Professionals and Campaign Managers
Data Analysts and Business Intelligence Specialists
CRM Administrators and Customer Experience Managers
Solutions Engineers working within the Adobe ecosystem

Prerequisites

  • Basic web browsing and computer proficiency
  • Familiarity with fundamental data concepts or relational databases
  • Understanding of digital marketing concepts and cross-channel engagement

Learning Outcomes

Understand the core components of AEP including Data Lake, Identity Service, and Real-Time Customer Profiles
Configure both batch and streaming data ingestion pipelines from diverse data sources
Design and manage structured Experience Data Model (XDM) schemas and registries
Resolve customer identities across fragmented touchpoints using the Identity Graph
Build multi-channel audience segments using real-time and batch evaluation paths
Enforce strict regulatory compliance using AEP Data Governance tools and Consent Management Platforms (CMPs)

Course Curriculum

1Module 1: Introduction to Adobe Experience Platform (AEP)
3 topics
  • Overview of AEP and its role in customer experience management
  • Key components of AEP: Data Lake, Identity Service, Real-Time Customer Profile, and Segmentation Service
  • Benefits and use cases of AEP across various industries
2Module 2: Data Ingestion
3 topics
  • Understanding data ingestion methods: batch and streaming
  • Setting up data sources for scalable ingestion
  • Best practices for managing efficient data ingestion workflows
3Module 3: Data Modeling
3 topics
  • Introduction to XDM (Experience Data Model)
  • Creating and managing schemas for structured and unstructured data
  • Using the Schema Registry to organize and standardize enterprise data
4Module 4: Identity Service
3 topics
  • Understanding Identity Graph and Identity Resolution mechanics
  • Setting up Identity Service to unify fragmented customer identities
  • Managing identity namespaces for cross-channel data integration
5Module 5: Real-Time Customer Profile
3 topics
  • Building and managing dynamic Real-Time Customer Profiles
  • Configuring profile merging and creating stitched unified profiles
  • Using Profile Query Service to access, validate, and analyze profile data
6Module 6: Segmentation Service
3 topics
  • Introduction to segmentation and its importance in cross-channel personalization
  • Creating and managing target segments using the AEP segment builder
  • Real-time segmentation vs. batch segmentation: specific use cases and architectural best practices
7Module 7: Data Science Workspace
3 topics
  • Overview of Data Science Workspace architecture and capabilities
  • Building, training, and optimizing machine learning models
  • Model evaluation, deployment, and seamless integration with AEP workflows
8Module 8: Activation and Destinations
3 topics
  • Overview of data activation and its core role in modern customer experience
  • Setting up and configuring cloud and API destinations for data export
  • Integrating with third-party advertising and marketing systems for seamless data flow
9Module 9: Consent and Preferences
3 topics
  • Setting up standard-compliant consent management frameworks in AEP
  • Managing and integrating explicit consent data into customer profiles
  • Working alongside Consent Management Platforms (CMPs) for end-to-end user compliance
10Module 10: Data Governance and Privacy
3 topics
  • Understanding global data privacy regulations including GDPR and CCPA
  • Implementing data governance classification and labeling policies in AEP
  • Auditing and monitoring ongoing corporate data usage for strict policy compliance
11Module 11: Journey Orchestration
3 topics
  • Overview of Journey Orchestration and its role in real-time customer engagement
  • Creating, structuring, and managing multi-stage customer journeys
  • Configuring real-time event triggers to deploy highly personalized customer experiences
12Module 12: Reporting and Insights
3 topics
  • Using AEP out-of-the-box UI elements for operational reporting and analytics
  • Building tailored data visualization dashboards for actionable cross-team insights
  • Analyzing deep customer insights to guide and drive core business decisions

Certification

Receive a SkillSurf Course Completion Certificate upon successfully completing this training program. This curriculum maps closely to the foundational objectives required for professional certifications within the Adobe Experience Platform credential paths.

Frequently Asked Questions

Traditional CRMs manage transactional and static sales data. AEP acts as a centralized Customer Data Platform (CDP) that ingests massive, multi-source streaming datasets in real time, unifies identities through an Identity Graph, and activates real-time profiles across downstream channels.
No coding experience is strictly required. While the Data Science Workspace supports custom Python/R models for advanced engineers, we cover the pre-built recipes and platform UI options accessible to business and data analysts.
Yes. Dedicated modules cover how to label datasets for governance compliance (GDPR/CCPA), integrate Consent Management Platforms, and construct platform guardrails to prevent accidental exposure of restricted fields.
Yes, the program includes real-time project simulations involving schema creation using XDM, data streaming configuration, segment validation, and audience destination mapping.