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Academy · Agentic AI bootcamp

Adobe CX Enterprise Agentic AI Bootcamp

Four-week bootcamp on Claude Desktop, MCP and Adobe Experience Platform: agentic AI, AEP data context, journeys and an AI copilot capstone.

Quick answer

The Adobe CX Enterprise Agentic AI Bootcamp is a four-week hands-on program on Agentic AI with Adobe Experience Cloud. Week one covers agents, MCP and responsible AI, week two connects AEP data through developer authentication, XDM, datasets and identity, week three covers audience and journey intelligence with AJO, CJA and Analytics, and week four is a capstone concept for an enterprise marketing AI copilot.

Fees & format

Program at a glance

On requestpricing shared on request
IntermediateLive · 4 weeks

Request details Register

  • Four weeks of live, hands-on sessions
  • Claude Desktop and MCP labs
  • AEP data context: XDM, datasets, identity and profile
  • Audience, journey and analytics intelligence
  • Enterprise marketing copilot capstone

No payment is taken on this site. Outcomes depend on participation and practice; no job, salary or certification outcome is guaranteed.

Outcomes

What you'll learn

  • Explain agentic AI, agent orchestration and MCP architecture
  • Apply responsible-AI and governance concepts
  • Set up developer-console and OAuth access concepts for AEP
  • Use XDM, datasets, identity and profile as agent context
  • Qualify audiences and validate journeys with AI support
  • Design an enterprise marketing AI copilot
Curriculum

Course content

Week 1: Agentic AI foundations · 4 topics
  • Agentic AI and agent patterns
  • Adobe AI Assistant, agent orchestrator and platform agents (as currently documented)
  • Claude Desktop and MCP architecture
  • Responsible AI
Week 2: AEP + MCP · 4 topics
  • Adobe Developer Console and OAuth
  • MCP gateway concepts
  • XDM and datasets
  • Identity Service and Real-Time Customer Profile
Week 3: audience and journey intelligence · 4 topics
  • Audience agent and qualification
  • AJO and journey validation
  • CJA and Adobe Analytics
  • Data insights with AI
Week 4: enterprise AI copilot · 5 topics
  • Work with audiences
  • Validate journeys
  • Generate analytics insights
  • Recommend CX improvements and automate workflows
  • Apply enterprise governance
Audience

Who this program is for

MarTech engineers and architects

People designing AI automation on customer data.

Analysts and consultants

Professionals who want AI-assisted analysis.

Technology leaders

Leaders evaluating governed agentic AI for marketing.

Capstone

What the capstone builds

Audiences

Work with Adobe audiences.

Journeys

Validate customer journeys.

Insights

Generate analytics insights and recommend CX improvements.

Governance

Automate workflows under enterprise controls.

The capstone is a concept and prototype built in a training environment, not a production deployment.

Fees

Fees and enquiry

Paid program fees are confirmed in writing before payment. The flagship Career Accelerator is ₹60,000 and, as stated by the founder, includes Adobe sandbox access and mentoring. Pricing for this track is shared on request.

Tool and product names (including Adobe AI features and MCP-based integrations) change quickly. We verify them against current Adobe documentation before each cohort, and training does not guarantee jobs, salary or certification.

Frequently asked questions

Do I need to code?

Basic scripting helps, but labs provide starter material and the capstone can be design-led.

Which Adobe features are used?

Adobe's AI and MCP-related capabilities evolve. We confirm what is generally available against Adobe's documentation before each cohort and do not imply an official partnership.

Request details: Adobe CX Enterprise Agentic AI Bootcamp

Tell us you are interested and we will email the full syllabus, dates and next steps. Only need one tool? Choose a single tool at a lower price. No payment now.

What are you interested in?
Optional, e.g. AEP only, AJO, CJA
Goals, current platforms and timeline help us reply with useful next steps. Please do not include passwords or customer data.

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