AWS Solutions Architect Certification

6 Weeks

·

Cohort-based Course

Learn AWS from one of the top AWS trainers in the world. Duke professor Noah Gift is a five-time O'Reilly book author and AWS ML Hero.

Course overview

Learn AWS and Get Certified

In a recent 2022 O'Reilly survey, a typical AWS Certified Solutions Architect can get an average of 200K+ a year. This course takes you through labs, videos, and live training to master AWS and pass the AWS Certified Solutions Architect Associate exam.

Who is this course for

01

This course is targeted for someone who wants to master the foundational knowledge of AWS preparing for the AWS Solutions Architect course.

02

You're new to the tech industry wanting to get a high paying job or looking to level up to a new job using the AWS Cloud.

03

Increase your earning potential with an AWS Solutions Architect certification.

What you’ll get out of this course

Master AWS using AWS Labs

This course uses AWS Labs to increase your ability to practice key concepts in cloud computing on your own time.

Learn key skills by attending online sessions

Weekly recorded two hour online sessions with instructor that allow you to participate in live demos, do Q&A and go beyond async material alone.

Get access to hours of pre-recorded content

Use custom created certification material used to successfully train thousands of AWS certified students.

Learn about key AWS Resources and Technologies

Learn about key resources from AWS that help you both master the platform and get certified.

Async Learning through Discord Chat

Get access to a private Discord channel students can collaborate with each other on and ask questions to the instructor.

What people are saying

        Thank you for a great class. I feel like I’ll need about six months to go over all the stuff we covered, probably longer to get them down properly. I truly appreciate you taking the time to help us out. This is by far one of the best classes I’ve taken in years.
Rigo

Rigo

NASA Engineer
        Mr. Gift is a charismatic, friendly and engaging instructor with a personal interested in data engineering, machine learning and cloud computing. Even more importantly, he seems interested in being an instructor, teaching and engaging with all students. He was at every weekly sync session and never seemed in a hurry.
Northwestern Student

Northwestern Student

Graduate Data Science Alumni
        Amazing choice of content to cover. Covers, most critical skills that's usually missing from other tutorials.
Student

Student

Cloud Training Student
        Thank you Noah for making working with cloud architectures a flawless experience.
Duke Student

Duke Student

Graduate Data Science Alumni
        Provided us with a comprehensive prep course that featured self-paced, online lectures created by Amazon and a weekly in-person lecture with lecturer Noah Gift. His lectures provided context and supplementary understanding for the online material. As a former tech CTO and founder with a wealth of academic experience, Gift was crucial.
Yushun Li

Yushun Li

Alumni UC Davis MSBA 2019
        Our course was taught by Lecturer Noah Gift, a UC Davis MBA alumnus and AWS expert. I was given the opportunity to be a certifications workshop lead, along with my classmate Jodi Go, to assist Gift with class session logistics and office hours where we reinforced cloud computing concepts with fellow students.
Jodi

Jodi

UC Davis MSBA Alumni
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Meet your instructor

Noah Gift

Noah Gift

Professor, Multiple Book Author, Founder, AWS Hero

Noah Gift is the founder of Pragmatic A.I. Labs and lectures on cloud computing at top universities globally, including the Duke, Northwestern and UC Davis graduate data science programs. He designs graduate machine learning, MLOps, A.I., and data science courses, consults on machine learning and cloud architecture for AWS, and is a massive advocate of AWS Machine Learning and putting machine-learning models into production.

Noah has authored several books, including Developing on AWS with C#,  Practical MLOps, Pragmatic AI, Python for DevOps, and Cloud Computing for Data Analysis. He has created content around AWS for top course providers including Udacity, O'Reilly, Pearson, and DataCamp. You can find many AWS examples from Noah by following him on LinkedIn.

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Course syllabus

01

Module One

In the first week you are onboarded to the available AWS material, labs and AWS itself. Topics include


  • Introduction to Cloud Architecture
  • Using AWS Storage

02

Module Two

Cover the following AWS Cloud topics:


  • Compute
  • Database
  • Networking


03

Third Module

Cover the following AWS Cloud topics:


  • Advanced Networking
  • Security
  • Elasticity


04

Fourth Module

Cover the following AWS Cloud topics:

  • Automation
  • Caching
  • Decoupling

05

Fifth Module

Cover the following AWS Cloud topics:

  • Serverless
  • Disaster Planning


06

Sixth Module

Cover the following AWS Cloud topics:

  • Getting ready to take the AWS exam
  • Exam preparation

Course schedule

8-10 hours per week

  • Live Friday Sync Session

    9am - 11am PT/12:00pm - 2:00pm ET

    A total of six two hour recorded sessions.


    • October 7th 2022
    • October 14th 2022
    • October 21st 2022
    • October 28th 2022
    • November 4th 2022
    • November 11th 2022

  • Weekly AWS Labs

    2-4 hours per week of recommended labs

    Practice your AWS skills using hands-on labs.

  • Async Content

    Async 2-4 Hours

    Go through custom prepared AWS content.

  • Async Chat

    30 minutes to 1 hour

    Collaborate asynchronously with other students and professor each week in chat

AWS Solutions Architect Certification Preparation and AWS Mastery Course

Learn to master AWS in this six week course.
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Learning is better with cohorts

Learning is better with cohorts

Active learning with hands-on labs

Use hands on labs to actively practice AWS concepts

Interactive Weekly Sync

You’ll be interacting each week with the instructor and engaging in custom content and instruction tailored to your needs.

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you. Get access to a private chat channel and continue the discussion after the course is over.

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
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