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New live online training courses

O'Reilly Media - Ideas

Leadership Communication Skills for Managers , July 29. Adaptive Project Management , July 31. Spotlight on Cloud: Mitigating Cloud Complexity to Ensure Your Organization Thrives with David Linthicum , August 1. Succeeding with Project Management , August 8. Systems engineering and operations.

Course 93
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Leadership Communication Skills for Managers , July 29. Adaptive Project Management , July 31. Spotlight on Cloud: Mitigating Cloud Complexity to Ensure Your Organization Thrives with David Linthicum , August 1. Succeeding with Project Management , August 8. Systems engineering and operations.

Course 66
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160+ live online training courses opened for May and June

O'Reilly Media - Ideas

Succeeding with Project Management , June 10. Introduction to Employee Performance Management , June 10. 60 minutes to Better User Stories and Backlog Management , June 13. Systems engineering and operations. Systems Design for Site Reliability Engineers: How To Build A Reliable System in Three Hours , May 14.

Course 59
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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

Launching 24/7 digital platforms made him appreciate how much cloud technologies are developer superpowers. Laurent works at Google Cloud Paris and enjoys exploring, learning, and sharing the world of possibilities. Currently, Evgenii participates in ML projects as ML Architect and PM. Twitter: [link] Linkedin: [link].

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The 12 Most Effective Employee Selection Methods for Tech Teams

Hacker Earth Developers Blog

Skills Assessments What it is: Skills assessments are tests designed to measure a candidate’s proficiency in specific technical skills required for the role. In tech hiring, this often includes coding challenges, system design assessments, or platform-specific tasks.

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AI Engineer Vs. ML Engineer: Differentiating Between Roles

Mobilunity

Computer Science/Software Engineering (Bachelors) are good starters for an AI engineer, giving them core skills for creating highly intelligent solutions including programming, algorithms, data structures, databases, system design, operating systems, and software development. Cloud computing and model deployment.