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

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Kristen Kehrer

1:05:20

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01 - Introduction

01 - Welcome.mp4

00:50

02 - Why is this important.mp4

03:30

02 - 1. Streamlining AI Workflows with Modern Tools

01 - Data versioning and management.mp4

04:52

02 - Experiment tracking and management.mp4

05:11

03 - Model monitoring and performance evaluation.mp4

03:30

04 - AutoML.mp4

02:28

05 - Automated pipelines.mp4

02:57

06 - Explainability and interpretability of models.mp4

05:17

07 - Model deployment and serving.mp4

05:27

08 - Tools for working with LLMs.mp4

02:59

03 - 2. Developing Future-Ready AI Skills

01 - Assessing and upskilling existing teams.mp4

04:49

02 - Navigating the hybrid skill set landscape.mp4

04:30

03 - Creating an environment for experimentation.mp4

04:33

04 - Emerging trends in how you build AI.mp4

04:40

05 - Challenges and opportunities for organizations.mp4

03:47

04 - Conclusion

01 - Recap of key takeaways.mp4

02:58

02 - Actionable insights for implementing best practices.mp4

03:02

Description

“Putting machine learning into production" has a very different definition in 2023 than it did in 2013. The scope of what is possible to achieve with ML has increased significantly, and the associated challenges have grown proportionally. To effectively lead a data science team, you need to understand what you can feasibly expect them to achieve given the current state of ML, what challenges they will inevitably face, and how to navigate the modern ML ecosystem to provide them with support. In this course, instructor Kristen Kehrer teaches you all three. Learn how to streamline AI workflows with modern tools, manage AI projects and teams, collaborate with technical experts. Plus, develop future-proof leadership skills and keep abreast of the latest advancements, trends, and best practices.

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Artificial Intelligence

Kristen Kehrer

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.