Training Catalog

Build Data and AI capability, your way

Courses in Data Strategy, Business and Data Architecture, Data Governance, Data Management, and AI Governance — delivered self-paced, live virtual, or as corporate programs.

Self Paced Training

Learn on your own schedule

Self-paced courses give individual professionals full access to recorded modules, downloadable templates, and applied exercises they can complete at their own pace.

Each course follows the same structure used in our live programs, so learners progress from concepts to frameworks to practical artifacts they can apply in their own organization.

Strategy

Data Strategy Design & Enablement

Define the scope and purpose of a Data Strategy, assess current-state capabilities, identify business drivers, map requirements to data capabilities, design future-state architecture, prioritize initiatives, and create implementation roadmaps.

Architecture

EA Overview — Business Architecture

Business capability modeling, value stream mapping, stakeholder and operating model analysis, and capability-driven initiative planning.

Architecture

EA Overview — Data Architecture

Enterprise logical data modeling, data domains, data platform patterns, data integration architecture, and AI-ready data architecture.

Governance

Data Governance Master Class

Governance operating models, data ownership and stewardship, policies and standards, data quality governance, metadata and lineage.

Governance

Data Management Master Class

Core data management disciplines across quality, metadata, master data, privacy, security, and operational stewardship.

Governance

AI Governance Foundation

AI use case review, model and data risk, controls, accountability, ethical use, and building an AI governance framework.

Live Virtual Training

Instructor-led, cohort-based sessions

Live virtual sessions are delivered by Lytton Drive practitioners in scheduled cohorts, combining instruction, discussion, and hands-on workshops.

Participants work through real scenarios, ask questions in the moment, and leave each session with completed templates and a clear next step.

Strategy

Data Strategy Design & Enablement

Define the scope and purpose of a Data Strategy, assess current-state capabilities, identify business drivers, map requirements to data capabilities, design future-state architecture, prioritize initiatives, and create implementation roadmaps.

Architecture

EA Overview — Business Architecture

Business capability modeling, value stream mapping, stakeholder and operating model analysis, and capability-driven initiative planning.

Architecture

EA Overview — Data Architecture

Enterprise logical data modeling, data domains, data platform patterns, data integration architecture, and AI-ready data architecture.

Governance

Data Governance Master Class

Governance operating models, data ownership and stewardship, policies and standards, data quality governance, metadata and lineage.

Governance

Data Management Master Class

Core data management disciplines across quality, metadata, master data, privacy, security, and operational stewardship.

Governance

AI Governance Foundation

AI use case review, model and data risk, controls, accountability, ethical use, and building an AI governance framework.

Corporate Training

Tailored programs for teams

Corporate training programs are customized to your organization's industry, maturity, platforms, and transformation objectives.

We can align a program to an active advisory engagement so your teams build capability on the same frameworks and artifacts being used in the work itself.

Strategy

Data Strategy Design & Enablement

Define the scope and purpose of a Data Strategy, assess current-state capabilities, identify business drivers, map requirements to data capabilities, design future-state architecture, prioritize initiatives, and create implementation roadmaps.

Architecture

EA Overview — Business Architecture

Business capability modeling, value stream mapping, stakeholder and operating model analysis, and capability-driven initiative planning.

Architecture

EA Overview — Data Architecture

Enterprise logical data modeling, data domains, data platform patterns, data integration architecture, and AI-ready data architecture.

Governance

Data Governance Master Class

Governance operating models, data ownership and stewardship, policies and standards, data quality governance, metadata and lineage.

Governance

Data Management Master Class

Core data management disciplines across quality, metadata, master data, privacy, security, and operational stewardship.

Governance

AI Governance Foundation

AI use case review, model and data risk, controls, accountability, ethical use, and building an AI governance framework.

Not sure which course fits?

Book a session and we will recommend a learning path based on your role, team, and transformation objectives.

Book a session