https://github.com/noahgift/aws-cloud-practitioner-exam
[Course]Study Material for AWS Cloud Practitioner Exam
https://github.com/noahgift/aws-cloud-practitioner-exam
aws certification cloud cloud-practitioner devops pragmaticai python study-material
Last synced: 4 months ago
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[Course]Study Material for AWS Cloud Practitioner Exam
- Host: GitHub
- URL: https://github.com/noahgift/aws-cloud-practitioner-exam
- Owner: noahgift
- Created: 2019-11-01T22:09:09.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2025-01-10T22:57:07.000Z (about 1 year ago)
- Last Synced: 2025-04-09T15:06:13.101Z (10 months ago)
- Topics: aws, certification, cloud, cloud-practitioner, devops, pragmaticai, python, study-material
- Language: Python
- Homepage: https://awscp.noahgift.com
- Size: 146 KB
- Stars: 54
- Watchers: 2
- Forks: 33
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
Awesome Lists containing this project
README
# AWS Cloud Practitioner Exam
Study Material for AWS Cloud Practitioner Exam.
## Study Resources
* You can take a [Free Course I created here](https://store.paiml.com/aws-cloud-practitioner).
* [Course Website](https://awscp.noahgift.com/)
* [Labs](https://github.com/noahgift/aws-cloud-practitioner-exam/blob/master/Cloud-Practitioner-Labs.pdf)
* [Questions and Answers](https://awscp.noahgift.com/questions-answers)
* [Pragmatic AI Labs YouTube](https://www.youtube.com/channel/UCNDfiL0D1LUeKWAkRE1xO5Q)
* [Get the latest content and updates from Pragmatic AI Labs: Subscribe to the mailing list!](https://newsletter.paiml.com/social)
## 🎓 Pragmatic AI Labs | Join 1M+ ML Engineers
### 🔥 Hot Course Offers:
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## Need Help? File a ticket
* File a Github ticket for documentation, bugs in demos or other related issues.
## Watch The Video Companions on YouTube
**How to use Amazon S3 storage**
[](https://youtu.be/1gauWMpmf_E)
**Learn to write AWS Lambda functions in Python**
[](https://youtu.be/AlRUeNFuObk)
**Learn to launch AWS Deep Learning Spot Instances**
[](https://youtu.be/tzgzQow5OrE)
**AWS Resources available to students and teachers**
[](https://youtu.be/VeWGNn_qHJQ)
### Additional Related Topics from Noah Gift
His most recent books are:
* [Pragmatic A.I.: An introduction to Cloud-Based Machine Learning (Pearson, 2018)](https://www.amazon.com/Pragmatic-AI-Introduction-Cloud-Based-Analytics/dp/0134863860)
* [Python for DevOps (O'Reilly, 2020)](https://www.amazon.com/Python-DevOps-Ruthlessly-Effective-Automation/dp/149205769X).
His most recent video courses are:
* [Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)](https://learning.oreilly.com/videos/essential-machine-learning/9780135261118)
* [AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-machine/9780135556597)
* [Python for Data Science Complete Video Course Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/python-for-data/9780135687253)
* [AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-big/9780135772324)
* [Building A.I. Applications on Google Cloud Platform (Pearson, 2019)](https://learning.oreilly.com/videos/building-ai-applications/9780135973462)
* [Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)](https://learning.oreilly.com/videos/pragmatic-ai-and/9780136554714)
* [Data Engineering with Python and AWS Lambda (Pearson, 2019)](https://learning.oreilly.com/videos/data-engineering-with/9780135964330)
His most recent online courses are:
* [Microservices with this Udacity DevOps Nanodegree (Udacity, 2019)](https://www.udacity.com/course/cloud-dev-ops-nanodegree--nd9991)
* [Command Line Automation in Python (DataCamp, 2019)](https://www.datacamp.com/instructors/ndgift)
* [AWS Certified Cloud Practitioner 2020-Real World & Pragmatic](https://www.udemy.com/course/aws-certified-cloud-practitioner-2020-real-world-pragmatic/?referralCode=CAC679A7D08212773428)
*
#### Next Steps: Take Coursera MLOps Course
* [Take the Specialization](https://www.coursera.org/learn/cloud-computing-foundations-duke?specialization=building-cloud-computing-solutions-at-scale)
* [Cloud Computing Foundations](https://www.coursera.org/learn/cloud-computing-foundations-duke?specialization=building-cloud-computing-solutions-at-scale)
* [Cloud Virtualization, Containers and APIs](https://www.coursera.org/learn/cloud-virtualization-containers-api-duke?specialization=building-cloud-computing-solutions-at-scale)
* [Cloud Data Engineering](https://www.coursera.org/learn/cloud-data-engineering-duke?specialization=building-cloud-computing-solutions-at-scale)
* [Cloud Machine Learning Engineering and MLOps](https://www.coursera.org/learn/cloud-machine-learning-engineering-mlops-duke?specialization=building-cloud-computing-solutions-at-scale)