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New live online training courses

O'Reilly Media - Ideas

Advanced Test-Driven Development (TDD) , June 27. Test-Driven Development In Python , June 28. Systems engineering and operations. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. Azure Architecture: Best Practices , June 28. AWS for Mobile App Developers , July 16.

Course 68
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Advanced Test-Driven Development (TDD) , June 27. Test-Driven Development In Python , June 28. Systems engineering and operations. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. Azure Architecture: Best Practices , June 28. AWS for Mobile App Developers , July 16.

Course 50
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170+ live online training courses opened for March and April

O'Reilly Media - Ideas

Designing and Implementing Big Data Solutions with Azure , March 11-12. Beginner’s Guide to Writing AWS Lambda Functions in Python , March 1. Programming with Java Lambdas and Streams , March 5. Advanced TDD (Test-Driven Development) , March 15. Systems engineering and operations. Cleaning Data at Scale , March 19.

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170+ live online training courses opened for March and April

O'Reilly Media - Ideas

Ingenious Game AI Development in Unity , April 11-12. Hands-On Chatbot and Conversational UI Development , June 20-21. Developing a Data Science Project , April 2. Test-Driven Development in Python , March 28. Basic Android Development , April 15-16. Hands-on Augmented Reality for Game Developers , April 22-23.

Course 10
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Monthly Update: November 2019

Linux Academy

Configure Application Insights with Azure. Configure Azure SQL Database User Access. Configuring Alerts for Azure SQL. Enable Archiving with Azure Blob Storage. Provisioning a Cosmos DB Instance in Azure. Provisioning a Gen 2 Azure Data Lake . Provisioning a Gen 2 Azure Data Lake . Google Labs.

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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly Media - Ideas

Usage data shows what content our members actually use, though we admit it has its own problems: usage is biased by the content that’s available, and there’s no data for topics that are so new that content hasn’t been developed. Containers allow much closer integration between developers and operations and do a lot to standardize deployment.