AI Data Strategy: Data Procurement and Storage
With Lillian Pierson, P.E.
Liked by 50 users
Duration: 2h 27m
Skill level: Intermediate
Released: 5/8/2025
Course details
This course is designed for developers, machine learning engineers, data engineers, data scientists, and cloud professionals who want to master the art of developing data strategy in AI product development. Learn how to effectively source, clean, and manage both structured and unstructured data to optimize machine learning and generative AI models. The course also covers advanced topics such as future-proofing data storage, ensuring compliance, and securing data in AI-driven environments. Through practical lessons and real-world case studies, AI product managers, tech startup founders, and technology executives can also gain valuable insights into how strategic data decisions can drive product success and innovation. Whether you’re building AI products or overseeing their deployment, this course equips you with the essential data skills to thrive in AI-intensive industries.
This course is part of the learning path Building AI Products: Prototyping Essentials Professional Certificate by LinkedIn Learning. Complete all courses and pass the final exam to earn a Professional Certificate you can add to your LinkedIn profile.Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Er. Abhishek Pandey
Er. Abhishek Pandey
Senior Associate Product Compliance @ Amazon | Compliance and Quality Management
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María Berrío
María Berrío
Founder, Lex Agentica | Agentic Commerce Readiness for the EU | Certified AI Ethicist & Auditor | 25 Years in Marketing
Contents
What’s included
- Learn on the go Access on tablet and phone
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