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[ CourseWikia com ] AI and the Future of Work - Workflows and Modern Tools for Tech Leaders
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01 - Introduction
01 - Welcome.mp4
01 - Welcome.srt
02 - Why is this important.mp4
02 - Why is this important.srt
02 - 1. Streamlining AI Workflows with Modern Tools
01 - Data versioning and management.mp4
01 - Data versioning and management.srt
02 - Experiment tracking and management.mp4
02 - Experiment tracking and management.srt
03 - Model monitoring and performance evaluation.mp4
03 - Model monitoring and performance evaluation.srt
04 - AutoML.mp4
04 - AutoML.srt
05 - Automated pipelines.mp4
05 - Automated pipelines.srt
06 - Explainability and interpretability of models.mp4
06 - Explainability and interpretability of models.srt
07 - Model deployment and serving.mp4
07 - Model deployment and serving.srt
08 - Tools for working with LLMs.mp4
08 - Tools for working with LLMs.srt
03 - 2. Developing Future-Ready AI Skills
01 - Assessing and upskilling existing teams.mp4
01 - Assessing and upskilling existing teams.srt
02 - Navigating the hybrid skill set landscape.mp4
02 - Navigating the hybrid skill set landscape.srt
03 - Creating an environment for experimentation.mp4
03 - Creating an environment for experimentation.srt
04 - Emerging trends in how you build AI.mp4
04 - Emerging trends in how you build AI.srt
05 - Challenges and opportunities for organizations.mp4
05 - Challenges and opportunities for organizations.srt
04 - Conclusion
01 - Recap of key takeaways.mp4
01 - Recap of key takeaways.srt
02 - Actionable insights for implementing best practices.mp4
02 - Actionable insights for implementing best practices.srt
Bonus Resources.txt
Ex_Files_AI_and_Future_of_Work
Exercise Files
Creating an Environment for Experimentation.pdf
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