AWS Certified Cloud Practitioner 2020-Real World & Pragmatic
- 6.5 hours on-demand video
- 1 article
- 9 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- Master the basics of the AWS Cloud and learn the knowledge necessary to pass the AWS Cloud Practitioner certification exam.
- Get introduced to Python
- How to be part of the #onemillion2021 initiative where one million people globally are trained on cloud, python and data by 2021
- Anyone is welcome to take the course. There are no prerequisites required.
Join #onemillion2021 where one million students learn Cloud, Data and Python skills globally by 2021.
This course takes a user on a journey to understand and then master the AWS Cloud. This material is taught in many forms at top universities around the world. This material has been adjusted to the unique properties of the Udemy platform. There are many techniques exposed that will also prepare a student interested in Python, Data Science, Data Engineering or Machine Learning to use the AWS cloud in those domains.
Some of the hands-on demos include:
How to build websites using: AWS S3, AWS Lambda, and AWS EC2 Instances
How to use AWS Spot Instances and run machine learning workloads
How to write simple Python functions and deploy them using AWS Lambda
How to create AWS S3 buckets and synchronize data to them
How to use AWS Cloud9 to develop software and interact with the AWS Cloud
How to create a user account in AWS IAM
How to manage billing and set up alerts to protect you from unexpected charges
- Non-experts in IT who are motivated to learn the basics of Cloud computing on the AWS platform and take the AWS Cloud Practitioner certification exam.
Welcome to the course. In this lecture, you learn how to use the materials in the course.
Noah Gift is a lecturer and consultant at MSDS, at Northwestern, Duke MIDS Graduate Data Science Program, and the Graduate Data Science program at UC Berkeley and the UC Davis Graduate School of Management MSBA program, and UNC Charlotte Data Science Initiative. He is teaching and designing graduate machine learning, AI, Data Science courses and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities including leading a multi-cloud certification initiative for students. He has published 100’s of technical publications including multiple books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA from UC Davis, an M.S. in Computer Information Systems from Cal State Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis Obispo.
Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect, and AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, AWS Academy Accredited Instructor, Google Certified Professional Cloud Architect, Microsoft MTA on Python, He has published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Machine Learning, and Computer Vision. He writes and publishes content for publications including Forbes, IBM, Red Hat, Microsoft, O’Reilly, and Pearson. Workshops and Talks have been given around the world for organizations including NASA, PayPal, PyCon, Strata, and FooCamp. As an SME on Machine Learning for AWS, he helped created the AWS Machine Learning certification as well as serve as an AWS Faculty Cloud Ambassador.
He has worked in roles ranging from CTO, General Manager, Consulting CTO, Consulting Chief Data Scientists, and Cloud Architect. This experience has been with a wide variety of companies including ABC, Caltech, Sony Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios and Linden Lab. In the last ten years, he has been responsible for shipping many new products at multiple companies that generated millions of dollars of revenue and had a global scale. Currently, he is consulting startups and other companies, on Machine Learning, Cloud Architecture and CTO level consulting as the founder of Pragmatic AI Labs.
His most recent books are:
Pragmatic A.I.: An introduction to Cloud-Based Machine Learning (Pearson, 2018)
Python for DevOps (O’Reilly, 2020).
His most recent video courses are:
Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)
AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)
Python for Data Science Complete Video Course Video Training (Pearson, 2019)
AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)
Building A.I. Applications on Google Cloud Platform (Pearson, 2019)
Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)
Data Engineering with Python and AWS Lambda (Pearson, 2019)
His most recent online courses are:
Microservices with this Udacity DevOps Nanodegree (Udacity, 2019)
Command Line Automation in Python (DataCamp, 2020)
Learn about the Education & Jobs Mismatch problem and how to exploit it
Introduction to Cloud Computing section including a story about how cloud computing could have solved a serious problem at a film studio I worked at in the pre-cloud era.
Explain three different types of web application architectures: static, serverless, and Apache + EC2.
At this point you should have enough knowledge of AWS to use a real environment to practice your skills and take your knowledge to the next level. There are several methods of using AWS:
· Free Tier, available to anyone: https://aws.amazon.com/free/
· AWS Educate, available to students and faculty.
· AWS Academy, available to students and faculty.
· Your own personal account
· Your organization’s AWS account
These labs are meant to be challenging, and if you completely get through them on your own, not only will you most likely do well on the AWS Cloud Practitioner Exam, but you are ready to study for the more advanced AWS Solutions Architect exam. If you get stuck refer back to lessons that covered these topics.