AWS Certified Solutions Architect - Professional (SAP-C01) Cert Prep: 1 Design for Organizational Complexity

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Noah Gift

39:54

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01.01-design for organizational complexity.mp4

02:14

01.02-introduction to domain 1.mp4

01:47

01.03-quick prerequisite technology overview.mp4

03:00

02.01-analyze the organizational structure.mp4

03:38

02.02-evaluate the current authentication infrastructure.mp4

05:44

02.03-analyze the aws resources at an account level.mp4

04:26

02.04-audit strategies for authentication and access.mp4

02:13

03.01-ip addressing strategies for vpcs.mp4

02:31

03.02-dns strategies.mp4

02:11

03.03-classify network traffic and security.mp4

01:59

03.04-connectivity needs for hybrid environments.mp4

01:23

03.05-how to audit network traffic.mp4

01:06

04.01-how to use aws organizations.mp4

01:49

04.02-choose an account structure with proper configuration.mp4

01:33

04.03-recommend a central audit and event notification strategy.mp4

01:28

04.04-decide on an access strategy.mp4

01:43

05.01-conclusion.mp4

01:09

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 first 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 the two question formats you’ll encounter on the exam, as well as the exam content outline, the scoring rubric, and the recommended prerequisites for aspiring candidates. Along the way, Noah reviews cross-account authentication and access strategy, designing networks, and setting up multi-account AWS environments.

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Amazon AWS

SAP Certified Application Associate - SAP ERP

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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