Applied machine learning
An applied AI literacy track for data scientists building production systems. Connect data preparation, model development, evaluation, and operational considerations through a representative use case.
Explore this serviceAI Training / Executive AIMake informed
Make informed
AI decisions.
An AI literacy track for leaders shaping AI strategy. Connect AI fluency with opportunity assessment, investment priorities, responsible ownership, and organizational adoption.
Who it is for
A practical starting point.
C-suite leaders, business-unit heads, and senior sponsors responsible for AI direction.
The challenge
Leaders need enough fluency to question proposals, choose priorities, and assign accountability. Start with the business decisions they will actually make.
Inside the engagement
What your team will explore.
01
Understand the capabilities
Explore the roles of machine learning, generative AI, and agentic workflows. Discuss the limits and dependencies that matter when assessing a business proposal.
02
Evaluate opportunities
Work through use-case prioritization, readiness, and feasibility. Connect the intended benefit to data, integration, adoption, and operating requirements.
03
Lead responsible adoption
Discuss decision rights, risk ownership, oversight, and the role of runtime governance. Examine how organizational policy connects to everyday AI use.
04
Set a direction
Use a guided leadership exercise to outline priorities and next steps. Identify what needs further validation before a larger delivery commitment.
Learning outcomes
Turn learning into practice.
We agree the scope and outputs around your starting point. A typical engagement can include:
- A shared vocabulary for AI decisions
- A worked use-case prioritization exercise
- An initial ownership and readiness discussion
- A set of next-step questions for your AI roadmap
In context
Workshop exercise: choose where to begin
Leaders compare a small set of proposed use cases against business value, feasibility, and risk. The discussion ends with a reasoned priority and the evidence needed to validate it.
Getting started
Shape the program around your team.
Tell us who will attend, their current experience, and what they should be able to do afterwards. We shape the exercises and depth around that outcome.
The agenda is tailored to the leadership group and its current AI maturity.
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Go deeper into the services.
GenAI and Agentic AI
Build AI literacy through hands-on learning for generative AI applications and agentic workflows. Bring retrieval, orchestration, tool use, and evaluation together with responsible implementation.
Explore this servicePractitioner enablement
Build practical AI literacy for engineers and delivery teams applying AI to real work. Develop habits for clear specification, bounded implementation, critical review, and meaningful validation.
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