- Course
Real-world AI Considerations
This course will teach you how to drive successful AI adoption, enable teams with the right tools and culture, and implement governance practices that ensure trust, security, and cost control.
Beginner
- Course
Real-world AI Considerations
This course will teach you how to drive successful AI adoption, enable teams with the right tools and culture, and implement governance practices that ensure trust, security, and cost control.
Beginner
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- AI
What you'll learn
Many organizations struggle with AI adoption. In this course, Real-world AI Considerations, you’ll learn to successfully adopt AI while balancing enablement and governance. First, you’ll explore how to drive adoption through pilots, communities of practice, and dedicated AI teams. Next, you’ll discover how to support enablement by avoiding AI “workslop,” creating learning strategies, and providing infrastructure access. Finally, you’ll learn how to implement governance through cost management, observability, and security guardrails. When you’re finished with this course, you’ll have the skills and knowledge of practical AI adoption needed to align business value with organizational readiness and ensure responsible scaling.
Real-world AI Considerations
Beginner
Table of contents
Bogdan Sucaciu is a Software Engineer at Axual in The Netherlands, where he is taking part in building a Streaming Platform designed to share information in real-time, enabling instant processing of incoming events. He has several years of experience "cooking" software with JVM-based languages, some flavors of web technologies and garnishing with automated testing.