Course Report
Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.
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Course Features
Duration
3 hours
Delivery Method
Online
Available on
Lifetime Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Advanced
Teaching Type
Self Paced
Video Content
3 hours
Course Description
Course Overview
Virtual Labs
Personlized Teaching
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
An AWS Account for practicing the hands-on tasks and concepts for automating AWS with Python and Boto3
Basic knowledge of vi/vim editor especially for the command line
Basic understanding and experience with any Python IDLE such as sublime Text, Atom, or PyCharm
Fundamental knowledge regarding AWS services and the Python programming language
You need the following knowledge and requirements before you start with this Whizlabs course
What You Will Learn
API Key Best practices
Additional features for EC2
Amazon EC2 Report with Python
Automating AWS Lambda to run Python
Deploying the AWS Lambda and trigger
Enforcing S3 with Python
Filtering Amazon EC2 Query
Setting up authentication
Starting an EC2 Instance with Python
Target Students
The Whizlabs Automating AWS with Python and Boto3 training course is suitable for professionals who want to develop skills of using the Boto3 library and Python scripts along with skills in different triggering methods for the automation of AWS tasks in r
The course is suited for you if you are in an operations role or in a role that requires automation of certain components in AWS management