[Webinar] Career in AI: Panel Discussion

Details
Do you still have questions about AI Engineering and how to search for an AI job, even after reading multiple blog posts and articles?
Come talk to real experts! Our speakers will share with you their personal journeys and views on choosing AI as a career.
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You can join the workshop with this Zoom meeting link:
https://us02web.zoom.us/meeting/register/tZAkfuGhrDgsH9AOqDXsvs1Pl0Snoq0eqlXt
*Please make sure to leave time before the start of the workshop for registration
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Description:
According to deeplearning.ai, only 22% of companies using machine learning have successfully deployed a model. The need for ML Engineers is growing exponentially as the industry moves towards Data-centric AI. ML Engineering (MLOps) is at the intersection of Machine Learning, DevOps, and Data Engineering. It is a critical role that makes sure the AI products get deployed in production in a scalable and reliable way.
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Agenda:
- Introduction to AI Engineering
- Panel Discussion: Career in AI
- Q&A
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Who is this event for?
- Interested in pursuing a career in AI?
- Do you want to know what a career in AI entails?
- Do you want to know what the latest trends are in AI Engineering?
- Do you want to know what it takes to become an AI Engineer, ML Engineer, ML Scientist, etc.?
If you said yes to any of the above questions, then you don't want to miss this FREE Career Panel.
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Learn More:
Are you interested in AI & MLOps? WeCloudData's official AI Engineering Bootcamp starts on August 11th. Do not miss out on the chance to kickstart your future career - use the link below to learn more about how WeCloudData can help you advance your career and achieve your goals!
https://weclouddata.com/courses/ai-engineering-bootcamp/
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Speakers: TBA
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Sponsorship: Manning Publications
This event is sponsored by Manning Publications. Visit manning.com and use code "weclouddata39" to receive a 39% discount on your next purchase. This discount code is eligible for all books and items sitewide.

Canceled
Sponsors
[Webinar] Career in AI: Panel Discussion