1. Wrap up
Congratulations! You're done! You've reached the final video of this course. Let's briefly review what we've learned!
2. AWS Services
In this course, you learned about Amazon Web Services, the backbone of the internet. Decoupled and granular, they work well together, or on their own.
3. Boto3
Boto3 lets us access and interact with Amazon web services using Python - making them an extension of your laptop.
4. IAM
IAM lets us control users and access keys in AWS.
5. S3
You learned how to create, list and delete buckets in S3, upload files into them and secure the files. You also know how to create automatically updated, web reports!
6. SNS
You learned how to send messages to emails and phone numbers using SNS by creating topics and subscribing users to them.
7. Rekognition
You learned how to find stray cats by detecting them in an image using Rekognition, and how to extract text from parking signs.
8. AWS Translate
You learned how to translate text across many languages using AWS Translate.
9. Comprehend
Finally, you learned how to perform sentiment analysis and detect language using AWS Comprehend.
10. Use the Docs!
Sam still has a long way to go in her data engineering journey. As she learns more services, she will use the boto3 documentation to understand how they work and how to use them.
11. Other AWS Services
We have only scratched the surface of what AWS can do. Data engineers regularly use AWS services such as RDS to spin up databases, Lambda to create APIs on top of their models, and EC2 to spin up virtual machines. There's even a service called Textract for extracting text and tables out of images and PDFs!.
12. Thank you!
Thank you for following Sam's journey with me through this course! We are excited for you to boost your data science skills with powerful AWS infrastructure.
13. See you in the clouds!
Happy hacking and see you in the clouds!