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Title - Machine learning as a service
Speaker - Garima Bajpai
References. - Azure Machine Learning Engineering by Sina Fakhraee, Balamurugan Balakreshnan and Megan Masanz
Description - According to Forbes, the global machine learning market is projected to grow to $30.6B in 2024, to orchestrate the scale we need support from DevOps Community. Data Scientists, analysts and engineers need support to manage the complexity.
We will explore machine learning as a service, services and tools which can be instrumental for adoption.
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Kubernetes is an easy way to get started. In this session we cover advance topics of Kubernetes ecosystem - primarily security, governance and monitoring of Kubernetes along with some future trends for 2024
---------- Links to the referenced videos -------------
What is Kubernetes? | Introduction To...
2. Goldilocks Kubernetes Cost management Kubernetes Cost Management with Goldi...
3. Kubeflow - Kubeflow update & demo - Efficient ML...
4. OPA - Shifting Policy Management Left using...
--Courses and books ----------------
1. Kubernetes bible - https://www.packtpub.com/product/the-...
2. 50 Kubernetes Concepts Every DevOps Engineer Should Know -https://www.packtpub.com/product/50-k...
3. Mastering Kubernetes, fourth edition by Packt
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Enabling DevOps ecosystem for carbon footprint management
- Why Sustainability Matters
- How to focus on carbon footprint management
- Key recommendations
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IT professionals continue to see the importance of certifications. Matching results from last year, 91% hold at least one certification
More than 96% of IT managers believe that certified staff add value to their organization. Forty-five percent see a boost in productivity as a result.
91% of hiring manager report certification is one of the hiring criteria.
Professional who have gained new certification receive better salary & increments.
IT professionals prefer a formal, instructor-led approach as opposed to peer-to-peer training.
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From the publisher's feed
Community of Practice is amazing! They are a great way to contribute into the next-generation evolution of software delivery & DevOps practicesPurpose :1. We discuss DevOps software…