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LinkedIn Learning

AI and the Future of Work: Workflows and Modern Tools for Tech Leaders

via LinkedIn Learning

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Overview

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Learn how to implement machine learning operations into your business, discover the scope of what ML can achieve—and the challenges that it can present.

Syllabus

Introduction
  • Welcome
  • Why is this important?
1. Streamlining AI Workflows with Modern Tools
  • Data versioning and management
  • Experiment tracking and management
  • Model monitoring and performance evaluation
  • AutoML
  • Automated pipelines
  • Explainability and interpretability of models
  • Model deployment and serving
  • Tools for working with LLMs
2. Developing Future-Ready AI Skills
  • Assessing and upskilling existing teams
  • Navigating the hybrid skill set landscape
  • Creating an environment for experimentation
  • Emerging trends in how you build AI
  • Challenges and opportunities for organizations
Conclusion
  • Recap of key takeaways
  • Actionable insights for implementing best practices

Taught by

Kristen Kehrer

Reviews

4.5 rating at LinkedIn Learning based on 197 ratings

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