Artificial Intelligence (AI) and Machine Learning (ML) are quickly becoming pervasive. More organizations are looking to harness their potential and recruit individuals with these skills.
In this course, recruiters will learn Artificial Intelligence (AI) and Machine Learning (ML) technologies, their use cases, the different technology roles, and how to converse with technologists with these skills.
In this course, technical recruiters learn:
How to evaluate AI/ML skills that your candidates should have, including MLOps, Python, Java, etc.
The most common AI/ML technologies including, frameworks and libraries, Algorithms, and Cloud platforms.
The 3 key Machine Learning job roles and how to differentiate them
New roles in algorithmic accountability and machine learning ethics
Many recruiters struggle with feeling confident in their ability to talk to and screen candidates for technical roles, particularly in areas like Machine Learning. That’s why this course is important. It helps recruiters build the knowledge and skills they need to understand only what they need to screen Machine Learning talent effectively.
It covers everything from the basics of machine learning technical concepts to technical screening best practices. This course helps technical recruiters improve their skills and confidence in recruiting and screening Machine Learning talent.
Your recruiters and account managers will learn and understand machine learning technologies, sharpen their technical language, and increase their billing when they confidently engage machine learning technologists and hiring managers.
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