Video lessons
Watch the lesson. Then build it in your own sandbox.
90 video lessons: 53 sessions that follow a trainer’s handbook, from the architecture to journeys, and 37 mission walkthroughs. Every lesson ends with a step to practise in your private lab, so you build what you just watched.
Your plan opens the lessons for your sandboxes; All-access Gold opens every track and the capstone. A free trial opens its lab’s first two lessons and its first mission walkthrough.
Watch a preview
A minute from one lesson in each track, then the same skill in the lab. The full lessons are in My learning.
The Web SDK collection pipeline, then a profile schema in the lab
The connection, the reporting layer’s foundation
Anatomy of a journey
Smart campaigns: Smart List, Flow and Schedule
Adobe Experience Platform
25 lessons and 21 mission walkthroughs.
Module A — AEP Foundations & Architecture
1
Welcome & The Enterprise Reference Architecture
The four-layer model becomes real when you watch one event cross every layer.
▶ Video lesson · Then practise in: Web SDK Lab · Lab step about 15 minutes
2
The Four Design Principles
Each design principle has a failure you can cause on purpose.
▶ Video lesson · Then practise in: Missions · Lab step about 15 minutes
3
XDM Part 1 — The Data Contract
A contract only counts if something enforces it.
▶ Video lesson · Then practise in: Schemas · Lab step about 15 minutes
4
XDM Part 2 — Anatomy of a Schema
The anatomy you draw today — class, field groups, data types and fields, identity — is exactly the lab’s schema editor.
▶ Video lesson · Then practise in: Schemas · Lab step about 20 minutes
5
XDM Part 3 — Schema Design Rules & Governance Lab
A schema has no publish step: it is usable as soon as it is saved, and once it holds data it only accepts additive changes.
▶ Video lesson · Then practise in: Schemas · Lab step about 20 minutes
6
Identity Graph Part 1 — The Fragmentation Problem
You will create the fragmentation problem yourself: the same person in two browsers becomes two anonymous profiles.
▶ Video lesson · Then practise in: Profiles · Lab step about 15 minutes
7
Identity Graph Part 2 — Namespaces & Stitching Mechanics
Mission 2 (Resolve Identities Across Sources) is this session as a checked task.
▶ Video lesson · Then practise in: Identities · Lab step about 20 minutes + Mission 2
8
Web SDK Collection Pipeline — Five Hops
All five hops — the page’s data, the Web SDK, the Edge Network, the datastream and the dataset — can be observed on the lab store.
▶ Video lesson · Then practise in: Web SDK Lab · Lab step about 20 minutes
9
Debugging the Collection Pipeline
The four methods — isolate, reproduce, validate the contract, confirm the profile — are how you solve the lab’s broken set-ups.
▶ Video lesson · Then practise in: Monitoring · Lab step about 20 minutes + Mission 5
10
Datastream vs Dataset + Module A Review & Assessment
One datastream, one dataset, and the services it sends to: switch routing on and off and see which destinations change — and that storage doesn’t.
▶ Video lesson · Then practise in: Datastreams · Lab step about 20 minutes
Module B — CJA: Analytics & Reporting Mastery
11
Segmentation & Activation Fundamentals
An audience keeps its rule while its members change as new events arrive: “the rule is fixed, the audience breathes”.
▶ Video lesson · Then practise in: Audiences · Lab step about 20 minutes
12
From Profile to Audience to Journey
“One definition, two jobs”: build the audience once, analyse it in CJA and act on it in Journeys.
▶ Video lesson · Then practise in: AEP Audiences · Lab step about 20 minutes
Module C — AJO, Migration, Enterprise Patterns & Capstone
23
Troubleshooting & Diagnostics — The Five Failures
Every one of the five common failures can be reproduced in the labs, so you learn the symptom and the tool that shows it.
▶ Video lesson · Then practise in: Tag Studio · Lab step about 20 minutes
24
Troubleshooting Lab — Diagnose Like an Engineer
Each client website has one real-world bug.
▶ Video lesson · Then practise in: Tag Studio · Lab step about 30 minutes
25
Adobe Analytics → AEP Migration — Why 1:1 Fails
The client tracking plans are XDM-first: each requirement names an event type and fields, not eVars.
▶ Video lesson · Then practise in: Tag Studio · Lab step about 15 minutes
26
The Migration Playbook (Hands-On)
The Trailvale store sends Web SDK events directly; the Trailvale client site sends them through Tag Studio.
▶ Video lesson · Then practise in: Tag Studio · Lab step about 25 minutes
27
Industry Reference Architectures
Three industries, three data layers, three identity choices — on the same tools.
▶ Video lesson · Then practise in: Tag Studio · Lab step about 15 minutes
Module D — Hands-On in the AdsBot Labs
31
Inside the AdsBot Labs — Access, Workspaces, Missions & Credentials
Everything so far has been architecture on the whiteboard and short labs at the end of each session.
▶ Video lesson · Then practise in: AEP Missions · Lab step about Guided lab tour + orientation
32
The AEP Lab — Schemas, Identity & Profile in the Classic Screens
Sessions 3 to 11 taught XDM, identity, datasets and segmentation on the whiteboard, with short labs.
▶ Video lesson · Then practise in: Schemas · Lab step about Hands-on build lab (Missions 1, 2 and 5)
33
Web SDK Lab — Real Collection, End to End
Session 8 named the five hops and Session 9 taught how to debug them.
▶ Video lesson · Then practise in: Web SDK Lab · Lab step about Hands-on build lab (Mission 7)
34
Tag Studio I — From Tracking Plan to Data Elements & Rules
In Session 33 you watched the Web SDK send events from code someone else wrote.
▶ Video lesson · Then practise in: Tag Studio · Lab step about Hands-on build lab (Mission 8, part 1)
35
Tag Studio II — Publishing, Environments & Deployment
Last session we configured the implementation.
▶ Video lesson · Then practise in: Tag Studio · Lab step about Hands-on build lab (Mission 8, part 2)
36
Tag Studio III — Debugger, QA & Troubleshooting
Our library is on the dev copy.
▶ Video lesson · Then practise in: Tag Studio · Lab step about Hands-on troubleshooting lab (Mission 8, part 3)
37
The Mobile SDK — Lifecycle, Screens, Commerce & Identity
Everything so far has been web.
▶ Video lesson · Then practise in: Tag Studio (mobile) · Lab step about Hands-on build lab (Mission 9)
Module E — Extension Sessions
E2
The Edge Network by API: Sending XDM from Postman
In Session 33 the Trailvale store’s Web SDK sent events and the Event Inspector traced each one through seven stages.
▶ Video lesson · Then practise in: Web SDK Lab · Lab step about Hands-on API lab (evidence in the Event Inspector)
Missions, each with a walkthrough video
Build the Customer Profile
XDM schema design · Identity descriptors · Real-Time Customer Profile enablement · Dataset configuration
Resolve Identities Across Sources
Custom identity namespaces · Merge policies · Cross-source identity resolution · Merged profile validation
Diagnose and Fix a Broken Implementation
Implementation troubleshooting · Profile data flow debugging · Dataset enablement
Collect Web SDK Data End to End
Adobe Web SDK (alloy.js) · Datastreams and the Edge Network · XDM ExperienceEvents · Identity in the identityMap
Implement Tags on a Client Website
Tag management: data elements and rules · Web SDK extension configuration · Development, Staging and Production publishing · Implementation QA against a tracking plan
Implement the Mobile SDK
AEP Mobile SDK setup · Edge Network extension and App IDs · Lifecycle for Edge Network · Identity and consent in apps
Load Data Through the Platform APIs
Developer Console and OAuth Server-to-Server credentials · Platform API headers: x-api-key, org and sandbox · Schema Registry and Catalog APIs · Batch Ingestion API
Model B2B Accounts and Build Account Audiences
XDM Business Account class · Schema relationships (many-to-one) · Account profiles · Account audiences with person conditions
Send a Journey Push to the Trailvale App
Messaging extension (Adobe Journey Optimizer) · Push token sync with setPushIdentifier · Push display and notification channels · Push tracking events
Trace and Debug the Edge Network
Edge Network request tracing · ECID continuity and the identity cookie · Authenticated identities in identityMap · XDM validation failures and fixes
Shape Untidy Data with Data Prep
Data Prep mapping sets and versions · Calculated fields: text, dates, flags, lists · Row-level validation · Reusing a mapping in a scheduled dataflow
Build Derived Datasets with Data Distiller
Data Distiller CTAS · Derived datasets on ad hoc and XDM schemas · Scheduled queries · Profile enrichment with INSERT INTO
Activate Audiences with Real-Time CDP
Real-Time CDP activation · Audience suppression · Consent policies at activation · Advertising and CRM destinations
Lifecycle L1: Collect in Real Time
Edge Network collection · Known-user identities · Consent at collection
Lifecycle L2: Collect in Batches
Sources dataflows · Ingestion reconciliation · Batch Ingestion API
Lifecycle L3: Shape the Data
XDM modelling · Data Prep transformations · Missing-value handling
Lifecycle L4: Store and Verify
Query Service validation · Reconciliation queries · Derived datasets
Lifecycle L5: Link Identities
Identity namespaces · Identity in schemas · ECID to known-customer linking
Lifecycle L6: Merge into Profiles
Profile enablement · Merge policies · Profile resolution
Lifecycle L7: Decide with Audiences
Audience definitions · Evaluation methods
Lifecycle L8: Act and Analyse
Destination activation · Closed-loop analysis with SQL
Customer Journey Analytics
12 lessons and 4 mission walkthroughs.
Module B — CJA: Analytics & Reporting Mastery
12
From Profile to Audience to Journey
“One definition, two jobs”: build the audience once, analyse it in CJA and act on it in Journeys.
▶ Video lesson · Then practise in: AEP Audiences · Lab step about 20 minutes
13
CJA Reporting Layer — The Connection
Mission 3 (Create a CJA Data View) starts with today’s layer: a connection over Experience Platform datasets, with a Person ID.
▶ Video lesson · Then practise in: Connections · Lab step about 20 minutes + Mission 3
14
CJA Reporting Layer — The Data View
The data view turns XDM fields into dimensions and metrics.
▶ Video lesson · Then practise in: Data views · Lab step about 20 minutes
15
Analysis Workspace — Orientation & Report-Time Processing
Report-time processing is easiest to feel: in Workspace every change recomputes instantly over 90 days of data.
▶ Video lesson · Then practise in: Workspace · Lab step about 20 minutes
16
Building Blocks I — Dimensions, Metrics, Calculated Metrics
The calculated-metric builder is a formula canvas with a live preview.
▶ Video lesson · Then practise in: Workspace · Lab step about 25 minutes
17
Building Blocks II — Filters, Segments & Date Ranges
Filters, containers and date ranges are where analysts make silent mistakes.
▶ Video lesson · Then practise in: Workspace · Lab step about 20 minutes
18
Visualizations I — Freeform Tables & Cohort Tables
Freeform tables and cohort tables answer different question shapes.
▶ Video lesson · Then practise in: Workspace · Lab step about 25 minutes
19
Visualizations II — Flow, Fallout, Venn & Journey Canvas
Trailvale’s data hides a real story: a mobile payment bug.
▶ Video lesson · Then practise in: Workspace · Lab step about 25 minutes
20
Attribution Models in CJA + Module B Review & Assessment
Running the same conversions through different models shows “same journey, different answers” with your own numbers.
▶ Video lesson · Then practise in: Attribution panel · Lab step about 20 minutes
Module D — Hands-On in the AdsBot Labs
31
Inside the AdsBot Labs — Access, Workspaces, Missions & Credentials
Everything so far has been architecture on the whiteboard and short labs at the end of each session.
▶ Video lesson · Then practise in: AEP Missions · Lab step about Guided lab tour + orientation
38
Workspace I — Freeform, Segments & Calculated Metrics
Sessions 15 to 18 introduced report-time processing, the building blocks and freeform tables.
▶ Video lesson · Then practise in: Workspace · Lab step about Hands-on analysis lab (Mission 10, part 1)
39
Workspace II — Fallout, Flow, Cohorts & Case Files
Session 19 compared flow and fallout on the whiteboard and Session 18 introduced cohorts.
▶ Video lesson · Then practise in: Workspace · Lab step about Hands-on analysis lab (Mission 10, part 2)
Missions, each with a walkthrough video
Create a CJA Data View
CJA connections · Data view design · Dimensions and metrics setup
Answer Business Questions in Analysis Studio
Freeform analysis and breakdowns · Segment containers · Calculated metrics · Fallout, flow and cohort analysis
Read an A/B Test in CJA
Experimentation panel · Control and treatment variants · Lift and statistical confidence · Conversion and revenue success metrics
Catch an Anomaly with an Intelligent Alert
Intelligent alerts · Anomaly detection with expected bands · Segment-level root cause · Trend monitoring
Journey Optimizer
6 lessons and 6 mission walkthroughs.
Module B — CJA: Analytics & Reporting Mastery
12
From Profile to Audience to Journey
“One definition, two jobs”: build the audience once, analyse it in CJA and act on it in Journeys.
▶ Video lesson · Then practise in: AEP Audiences · Lab step about 20 minutes
Module C — AJO, Migration, Enterprise Patterns & Capstone
21
AJO Real-Time Orchestration — Anatomy of a Journey
The five parts of a journey are easy to see on a real canvas, driven by real Trailvale events.
▶ Video lesson · Then practise in: Journey Studio · Lab step about 20 minutes
22
Building the Cart-Recovery Journey (Hands-On)
Today’s build is Mission 11: an event-triggered journey with a wait and a condition, personalised, tested, published and entered by a real visitor.
▶ Video lesson · Then practise in: Journey Studio · Lab step about 30 minutes + Mission 11
Module D — Hands-On in the AdsBot Labs
31
Inside the AdsBot Labs — Access, Workspaces, Missions & Credentials
Everything so far has been architecture on the whiteboard and short labs at the end of each session.
▶ Video lesson · Then practise in: AEP Missions · Lab step about Guided lab tour + orientation
40
Journey Studio & the Reporting Lab
Sessions 21 and 22 built the cart-recovery journey on paper and in a short lab.
▶ Video lesson · Then practise in: Journey Studio · Lab step about Hands-on build lab (Missions 11, 4 and 6)
Module E — Extension Sessions
E1
Custom Actions: Calling Outside Systems’ APIs from a Journey
Session 40 published an event-triggered cart-rescue journey whose messages used profile and event fields.
▶ Video lesson · Then practise in: Journey Studio · Lab step about Hands-on build lab (Mission 16)
Missions, each with a walkthrough video
Build an AJO Journey
Journey orchestration · Audience entry rules · Channel actions and waits
Build an Executive Dashboard
Cross-channel reporting · KPI selection · Executive dashboard design
Orchestrate a Journey in Journey Studio
Event-triggered journeys · Waits and conditions · Personalised messages · Journey testing and publishing
Rescue Carts with a Coupon from the Promotions API
Custom actions and REST APIs · API keys and authentication · Payload mapping from profile and event data · Using an API response in a message
Run an Experiment Inside a Journey
Journey experimentation · Treatments and traffic allocation · Optimization goals · Lift and statistical confidence
Let AI Rank Your Offers
Offer decisioning · AI ranking (auto-optimization) · Multi-armed bandits · Explore and exploit
Marketo Engage
10 lessons and 6 mission walkthroughs.
Marketo Engage
1
Marketo Engage and your Trailvale for Business workspace
what a marketing automation platform does, how the sandbox is laid out, and how to make lab time work for you.
▶ Video lesson · Then practise in: My Marketo
2
People and the Database
what a person record holds, how scores and statuses work, and the difference between smart lists and static lists.
▶ Video lesson · Then practise in: Database
3
Smart campaigns: Smart List, Flow and Schedule
how a smart campaign decides who, what happens and when, and the difference between trigger and batch campaigns.
▶ Video lesson · Then practise in: Marketing Activities
4
Lead scoring and the MQL hand-off
how to score interest and fit, choose a threshold real leads can reach, and hand qualified leads to sales exactly once.
▶ Video lesson · Then practise in: Marketing Activities
5
Email programs
how to send one email to one audience at one time, personalise it, and read its results.
▶ Video lesson · Then practise in: Marketing Activities
6
Event and webinar programs
how an event program moves people from invited to attended, with its own landing page, form, tokens and campaigns.
▶ Video lesson · Then practise in: Marketing Activities
7
Engagement programs: nurture
how to keep in touch with people who aren't ready to buy, and move them on when they are.
▶ Video lesson · Then practise in: Marketing Activities
8
Reporting, operations and troubleshooting
where to read results, which settings protect your audience, and a method for finding out why something didn't happen.
▶ Video lesson · Then practise in: Analytics
E3
Programs, smart campaigns and lead scoring, in one sitting
What you'll do: build a scoring model with an MQL hand-off and an email program end to end in about an hour, the way trainer-led cohorts run it.
▶ Video lesson · Then practise in: Marketing Activities
E4
Events, nurture and program reporting, in one sitting
What you'll do: run a webinar from registration to attendance, build a two-stream nurture, and read program success like a marketing operations lead.
▶ Video lesson · Then practise in: Marketing Activities
Missions, each with a walkthrough video
Score and Hand Off Leads
Behaviour and demographic lead scoring · Trigger and batch smart campaigns · MQL thresholds and lifecycle status · Sales hand-off alerts
Launch an Email Program
Email programs and smart lists · Personalisation with tokens · Email approval and sending · Email performance reporting
Run a Webinar Program
Event programs and channels · Landing pages and forms · Registration campaigns · Program status and success
Nurture with an Engagement Program
Engagement programs and streams · Transition rules · Cast cadence · Nurture audience management
Run Account-Based Marketing
Account-based marketing · Named accounts and account lists · Ideal customer profile and account scoring · Buying-committee targeting
Find the Revenue Bottleneck
Revenue cycle analytics · Funnel conversion and velocity · Bottleneck analysis · Lead SLA campaigns
Capstone (All-access Gold)
4 lessons.
Bringing AEP, CJA and Journey Optimizer together
28
Capstone Kickoff — Designing the End-to-End Pipeline
Every capstone step has a lab screen where it will be built and a mission that will check it.
▶ Video lesson · Lab step about 20 minutes
29
Capstone Build — AEP → CJA → AJO Implementation
The capstone build runs end to end in the labs; missions verify each stage.
▶ Video lesson · Lab step about The whole session
30
Capstone Presentation, ROI & Certification Review
Your presentation is stronger with live evidence, and completed missions become credentials you can share.
▶ Video lesson · Lab step about 10 minutes
41
Lab Capstone & Credential Review
Session 30 closed the architecture program with a design-level capstone.
▶ Video lesson · Lab step about Capstone build and presentation in the labs + credential review
Lessons are one part of it
Everything you get with a plan:
01
Your own private sandbox
Four practice labs styled on AEP, CJA, Journey Optimizer and Marketo Engage, with realistic data and a working online store sending real Web SDK events.
02
90 video lessons
A lesson for every session of a trainer’s handbook and a walkthrough for every mission. Each one ends with a step to practise in your own sandbox.
03
37 graded missions
Missions check your actual setup as you build it, step by step. No quizzes: the lab reads your schemas, datastreams, data views, journeys and programs.
04
Credentials employers can verify
Every completed mission earns an Open Badges credential tied to specific skills, with an Add to LinkedIn button.
05
A handbook and an AI Mentor
Step-by-step labs in your Learner’s Handbook, and an AI Mentor that reads your real setup before it answers.
06
A trainer when you want one
Live, trainer-led courses in AEP, CJA, Journey Optimizer and Marketo Engage run in the same labs, with a mission after every class.
AdsBot is independent and not affiliated with Adobe. The labs are our own practice environments, styled on the tools teams use at work; Adobe product names describe the skills taught.