AWS Solutions Architect Professional (SAP-C02) Cert Prep: 1 Design Solutions for Organizational Complexity

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Noah Gift

1:08:30

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01 - AWS networking concepts.mp4

03:48

02 - Prerequisites.mp4

03:00

03 - Design solutions for organization complexity Domain 1.mp4

02:29

04 - Learn AWS CloudShell.mp4

12:13

05 - Cloud developer workspace advantage.mp4

04:10

06 - Prototyping AI APIs in CloudShell.mp4

12:39

07 - Evaluate the current authentication infrastructure.mp4

05:44

08 - Decide on an access strategy.mp4

01:43

09 - Classify network traffic and security.mp4

01:59

10 - Analyze the organizational structure.mp4

03:38

11 - Analyze the AWS resources at an account level.mp4

04:26

12 - Determine an auditing strategy for authentication and access.mp4

02:13

13 - Determine connectivity needs for hybrid environments.mp4

01:23

14 - Determine a way to audit network traffic.mp4

01:06

15 - Outline an IP addressing strategy for VPCs.mp4

02:31

16 - Determine DNS strategy.mp4

02:11

17 - Recommend a central audit and event notification strategy.mp4

01:28

18 - Determine how to use AWS Organizations.mp4

01:49

Description

The AWS Certified Solutions Architect certification helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Solutions Architect – Professional validates the ability to design, deploy, and evaluate applications on AWS within diverse, complex requirements. In this course, Noah Gift helps you prepare for the AWS Certified Solutions Architect – Professional exam (SAP-C02). Noah gives an overview of the exam, then details the first domain, Design Solutions for Organizational Complexity. He covers the skills you need to know, including knowledge of AWAS networking concepts (including hybrid DNS concepts and network segmentation), troubleshooting traffic flows, utilizing service endpoints, and developing strategies for centralized security events.

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Amazon AWS

AWS Certified Solutions Architect - Associate

SAP

Noah Gift

Instructor's Courses

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

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