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AWS Certified Solutions Architect - Professional (SAP-C01) Cert Prep: 2 Design for New Solutions

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Noah Gift

46:09

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  • 01 - Introduction to Domain 2.mp4
    03:14
  • 02 - What you need.mp4
    00:39
  • 01 - Implement infrastructure as code.mp4
    03:30
  • 02 - Prevention controls for large-scale web applications.mp4
    02:19
  • 03 - Roles and responsibilities of applications.mp4
    01:00
  • 04 - Secure methods for managing solutions and app credentials.mp4
    02:21
  • 05 - Large-scale app detection controls and security services.mp4
    01:09
  • 01 - Design a highly available application environment.mp4
    01:47
  • 02 - Advanced failure detection and service recoverability.mp4
    03:53
  • 03 - Monitoring and recovery from regional service disruptions.mp4
    02:48
  • 01 - Cost-effective backup solutions across multiple AWS regions.mp4
    04:31
  • 02 - Application and infrastructure availability.mp4
    03:12
  • 01 - Design internet-scale application architectures.mp4
    01:56
  • 02 - Performance architecture according to business objectives.mp4
    04:05
  • 03 - Apply design patterns to meet business objectives.mp4
    03:09
  • 01 - Determine services to meet deployment strategy.mp4
    05:07
  • 01 - Summary and next steps.mp4
    01:29
  • Description


    Getting certified by AWS can be a big boost for your career in cloud application development and hybrid architectural design. In this course—the second in a five-part certification prep series—instructor Noah Gift shows you the skills you need to know to prepare for and tackle the AWS Certified Solutions Architect Professional exam (SAP-C01).

    Discover the benefits of the AWS Certified Solutions Architect Professional certification, which validates your ability to design, deploy, and evaluate applications on AWS within diverse, complex requirements. Learn about security requirements and controls, and solution design and implementation strategy to meet reliability requirements, ensure business continuity, and achieve performance objectives.

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    Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 17
    • duration 46:09
    • Release Date 2022/12/28