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AI Strategy Foundations for Data Scientists and Team Leaders

via LinkedIn Learning

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Overview

Build an AI strategy foundation for seasoned data scientists and team leads to drive impact and high-value AI projects.

Syllabus

Introduction

Builder to partner: Taking a strategic role in AI

1. What Is AI Strategy?

What is AI strategy?
What is your role in AI strategy?
AI strategy vs. AI plan
Understanding the AI strategy lifecycle

2. Foundations of AI Strategy for DS

Why the business strategy matters
Data and technical strategy
Why AI strategy is product focused
Partnerships: Building to innovate
Risk management and governance
Handling competition

3. Planning and Operations

Problem scoping
Managing trade-offs
Building teams and culture
Continuous transformation

4. Executing AI Projects

Bridging strategy and execution
Setting and measuring impact
Development the right way

5. Putting it Together: AI Strategy in Practice

Tailoring AI strategy to industry
AI strategy across the business
Change management

Conclusion

Continue to step up as a strategic partner

Taught by

Matthew Blasa

Reviews

4.6 rating at LinkedIn Learning based on 111 ratings

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