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Responsible AI

  • Learn how to create a successful and impactful responsible AI practice
  • Get a guide to existing standards, laws, and assessments for adopting AI technologies
  • Look at how existing roles at companies are evolving to incorporate responsible AI
  • Examine business best practices and recommendations for implementing responsible AI
  • Learn technical approaches for responsible AI at all stages of system development
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AWS System Administration, 2nd Edition

  • Securely deploy and manage your applications with AWS tools
  • Automate AWS configuration management with Python, Puppet, and Ansible
  • Deploy applications with autoscaling and elastic load balancing
  • Explore ways to deploy application and infrastructure updates
  • Save time on development and operations with reusable strategies
  • Embrace GitOps versioning of infrastructure and application code alike
  • Learn strategies for managing log files in AWS environments
  • Configure a cloud-aware DNS service with Route 53
  • Use AWS CloudWatch to monitor your infrastructure and applications
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Training Data for Machine Learning Models

  • Design, deploy, and ship training data for production-grade deep learning applications
  • Integrate with a growing ecosystem of tools
  • Recognize and correct new training data-based failure modes
  • Improve existing system performance and avoid development risks
  • Confidently use automation and acceleration approaches to more effectively create training data
  • Avoid data loss by structuring metadata around created datasets
  • Clearly explain training data concepts to subject matter experts and other shareholders
  • Successfully maintain, operate, and improve your system
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Bug Bounty Bootcamp

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The Missing README

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All about design patterns in automation testing.

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Quicksands of software development

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Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow

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Mobile Test automation iOS and Android

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Cisco SD-WAN

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Quantum Machine Learning: An Applied Approach

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Advanced Forecasting with Python

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Practical Artificial Intelligence Programming With Clojure

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Cloud Without Compromise

  • Learn cloud fundamentals and patterns, including basic concepts and history
  • Get a framework for cloud maturation phases to value-plot your cloud future
  • Know which questions to ask about a cloud provider before you sign
  • Discover potential pitfalls for everything from the true cost of your cloud solution to adopting open source the right way
  • See how IBM infrastructure can boost your cloud journey
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Clean JavaScript. English Edition

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Hands-On Quantum Machine Learning With Python

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Cloud Native Application Security

  • Initiate dev-first security by equipping developers with the mandate and tools to secure what they build during the development process
  • Expand the scope of application security for cloud native apps to include controls that IT security previously handled
  • Learn how adopting CNAS requires significant changes to the way you secure applications and infrastructure
  • Adapt your organization to a dev-first CNAS approach by rethinking your security organizational structure, tooling, and priorities
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The Game Console 2.0

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The Simple Haskell Handbook

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Creating React Applications with Python

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