AWS with Python Course
TextInImage| Face comparison| Celebrity recognition| Detect Face| Detect Label| Polly| Comprehend| Kinesis| S3| IAM| EC2| Translate
Lectures -17
Duration -1 hours
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Course Description
In this course , we will learn and practice different tools and services of AWS using AWS CLI and Python Boto3.
Using Python and Boto3 scrips to automate AWS cloud operations is gaining momentum. This course will give a cloud engineer’s perspective on using Python and Boto3 scripts for AWS cloud optimization.
Services like -
S3
Comprehend
Polly
Object and scene detection
Facial analysis
Celebrity recognition
Face Comparison
Text in Image
Translate
Transcribe
Kinesis Analytics
IAM
EC2
Goals
- Able to automate AWS cloud
- You'll learn how to code against AWS API using Python and Boto3!
- You'll learn how to launch EC2 Instances on AWS using Python and Boto3!
- You'll learn how to create buckets, upload files, apply lifecycle policies and much more!
- You'll learn to use different aws recognition services using python and boto3
- You will learn services like compute,storage,security,analytics and machine learning of aws
Prerequisites
- AWS account
- Python installed on PC
- Boto3
- AWS CLI
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Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Introduction 04:17 04:17
Machine Learning=AWS+Python
11 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Analytics(Kinesis)=AWS+Python
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Storage(S3)=AWS+Python
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Compute(EC2)
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
IAM
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
![Pranjal Srivastava](https://www.tutorialspoint.com/assets/profiles/137804/profile/200_175574-1578059958.jpg)
Pranjal Srivastava
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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