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Sandesh Belthangady
In this 1-hour long project-based course, you will learn how to create a python application(API) & launch it on AWS cloud servers using AWS Lambda & AWS API Gateway services. You will be using the AWS management console to create your Python application(API) & deploy it to the AWS servers. You will be using a collaboration platform for API development called Postman to test your API’s. Additionally, you will learn more about reading the server/cloud logs & also, monitoring your AWS servers using AWS CloudWatch services. Note: To avoid distraction for set up during the course, we would recommend that you create an Amazon AWS...
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In this 1-hour long project-based course, you will learn how to create a python application(API) & launch it on AWS cloud servers using AWS Lambda & AWS API Gateway services. You will be using the AWS management console to create your Python application(API) & deploy it to the AWS servers. You will be using a collaboration platform for API development called Postman to test your API’s. Additionally, you will learn more about reading the server/cloud logs & also, monitoring your AWS servers using AWS CloudWatch services. Note: To avoid distraction for set up during the course, we would recommend that you create an Amazon AWS account beforehand. Amazon AWS provides a free tier option for 1 year & the course materials will utilize services that fall under the free tier option.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches advanced web application development and deployment
Builds foundational skills for developing web services and serverless architecture
Provides hands-on experience with AWS Lambda and AWS API Gateway
Introduces monitoring techniques using AWS CloudWatch
Uses Postman for API development and testing
Requires prior knowledge of Python and AWS fundamentals

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Reviews summary

Promising python and aws course

This beginner-friendly course introduces fundamental concepts and practical skills for building and deploying Python applications on AWS. It focuses on using AWS Lambda, API Gateway, Postman, and CloudWatch. While the course has received positive feedback for the instructor's clear explanations, there are concerns about technical issues faced by some learners.
Explanations are easy to follow
"The istructor explains well."
Rhym Tool experienced occasional problems
"The Rhym Tool was not working for me properly."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Build a Python application(API) on AWS(Lambda+API Gateway) with these activities:
Review Python Fundamentals
Reviewing Python fundamentals can serve as a refresher and help build a stronger foundation for understanding the course materials effectively.
Browse courses on Python Basics
Show steps
  • Revise core concepts like data types, variables, and control flow.
  • Practice writing simple Python programs to reinforce your understanding.
Review Python Basics
Refresh your knowledge of Python basics, which will provide a solid foundation for this course.
Browse courses on Python Basics
Show steps
  • Read through Python documentation on variables, data types, and operators.
  • Solve easy Python coding challenges on platforms like HackerRank or LeetCode.
Find an AWS Mentor
Find an AWS mentor who can provide guidance and support throughout your learning journey.
Show steps
  • Reach out to AWS community members on platforms like LinkedIn or Slack.
  • Attend AWS events and meetups.
Eight other activities
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Form a Study Group with Classmates
Engaging in peer discussions and group study sessions can enhance your understanding of the course material, improve your critical thinking skills, and foster a sense of community.
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Show steps
  • Identify classmates who share similar interests and learning goals.
  • Establish a regular meeting schedule and format for your study group.
  • Take turns leading discussions, presenting concepts, and facilitating problem-solving activities.
  • Provide constructive feedback and support to your fellow group members.
Attend AWS Community Meetups
Attend AWS community meetups to connect with other professionals and learn about the latest trends in cloud computing.
Show steps
  • Find AWS community meetups in your area.
  • Attend the meetups and actively participate in discussions.
Attend an AWS Serverless Workshop
Workshops provide an immersive environment to learn about AWS serverless technologies, including AWS Lambda, and interact with experts in the field.
Show steps
  • Find an AWS Serverless workshop that aligns with your interests.
  • Register for the workshop and prepare any necessary materials.
  • Attend the workshop and actively participate in the sessions.
  • Network with other participants and speakers.
Follow AWS Lambda Tutorial
Follow an in-depth tutorial to set up and configure AWS Lambda, which will provide hands-on experience with the platform.
Browse courses on AWS Lambda
Show steps
  • Find an official AWS Lambda tutorial or online course.
  • Set up your AWS account and create a Lambda function.
  • Test and debug your Lambda function.
Participate in an AWS Workshop
Participate in an AWS workshop to gain hands-on experience with AWS services and best practices.
Show steps
  • Find AWS workshops relevant to this course.
  • Register and attend the workshop.
Solve Coding Challenges on LeetCode or HackerRank
Solving coding challenges can enhance your problem-solving skills, improve your coding proficiency, and deepen your understanding of Python.
Browse courses on Coding Challenges
Show steps
  • Choose easy to medium-level coding challenges.
  • Read the problem statement carefully and analyze the requirements.
  • Develop a logical solution using Python.
  • Test your solution against the provided test cases.
  • Review your solution and optimize it if possible.
Build a Simple Python API
Build a simple Python API to demonstrate your understanding of API design and implementation.
Browse courses on RESTful APIs
Show steps
  • Design the API endpoints and data structures.
  • Implement the API endpoints using Python and the Flask framework.
  • Deploy the API to a cloud platform like AWS Elastic Beanstalk or Google Cloud Run.
Build a Simple Python Application using AWS Lambda
Creating a Python application using AWS Lambda allows you to apply the concepts learned in the course to a practical project, reinforcing your understanding and building your portfolio.
Browse courses on AWS Lambda
Show steps
  • Plan your application's functionality and architecture.
  • Write the Python code for your Lambda function.
  • Deploy your Lambda function to AWS.
  • Configure AWS API Gateway to integrate with your Lambda function.
  • Test your application to ensure it works as intended.

Career center

Learners who complete Build a Python application(API) on AWS(Lambda+API Gateway) will develop knowledge and skills that may be useful to these careers:
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. This course can help you build a foundation in cloud computing and serverless architecture, which are essential skills for DevOps Engineers. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you improve efficiency and collaboration between development and operations teams. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Cloud Architect
A Cloud Architect designs, builds, and manages cloud computing systems. This course can help you build a foundation in cloud computing and serverless architecture, which are essential skills for Cloud Architects. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you reduce costs and improve scalability. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for developing and deploying software applications. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you reduce costs and improve scalability. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Data Engineer
A Data Engineer designs, develops, and maintains data pipelines. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for building and managing data pipelines. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you reduce costs and improve scalability. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Cloud Consultant
A Cloud Consultant provides guidance and expertise on cloud computing to organizations. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for organizations of all sizes. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you reduce costs and improve scalability. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for managing and maintaining cloud-based databases. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you improve efficiency and reduce costs. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Network Administrator
A Network Administrator is responsible for managing and maintaining computer networks. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for managing and maintaining cloud-based networks. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you improve efficiency and reduce costs. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Full-Stack Developer
A Full Stack Developer designs, develops, and maintains both the front-end and back-end of web applications. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for developing and deploying web applications. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you reduce costs and improve scalability. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Systems Administrator
A Systems Administrator is responsible for managing and maintaining computer systems. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for managing and maintaining cloud-based systems. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you improve efficiency and reduce costs. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Security Analyst
A Security Analyst is responsible for identifying and mitigating security risks. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for deploying security applications. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless security applications, which can help you improve security and reduce costs. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure security.
Cloud Security Engineer
A Cloud Security Engineer is responsible for securing cloud computing systems. This course can help you build a foundation in cloud computing and serverless architecture, which are essential skills for Cloud Security Engineers. You will learn how to use AWS Lambda and API Gateway to create and deploy secure serverless applications, which can help you protect your data and applications from cyber threats. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure security.
IT Manager
An IT Manager is responsible for managing and overseeing an organization's IT infrastructure. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for managing and overseeing cloud-based IT infrastructure. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you improve efficiency and reduce costs. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to identify trends and patterns. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for storing and processing data. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you reduce costs and improve scalability. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for deploying machine learning models. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless machine learning applications, which can help you reduce costs and improve scalability. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.
Data Scientist
A Data Scientist analyzes and interprets data to extract insights. This course can help you build a foundation in cloud computing and serverless architecture, which are becoming increasingly popular for storing and processing data. You will learn how to use AWS Lambda and API Gateway to create and deploy serverless applications, which can help you reduce costs and improve scalability. Additionally, you will learn how to monitor your AWS servers using AWS CloudWatch, which is a valuable skill for managing cloud infrastructure.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Build a Python application(API) on AWS(Lambda+API Gateway).
Comprehensive guide to using Python for data analysis. It covers everything from the basics of Python to more advanced topics such as data manipulation, visualization, and machine learning.
Practical guide to machine learning with Python. It covers the basics of machine learning as well as more advanced topics such as deep learning and natural language processing.
Comprehensive guide to deep learning with Python. It covers the basics of deep learning as well as more advanced topics such as convolutional neural networks and recurrent neural networks.
Comprehensive guide to natural language processing with Python. It covers the basics of natural language processing as well as more advanced topics such as machine translation and text classification.
Provides a comprehensive overview of cloud computing. It covers the basics of cloud computing as well as more advanced topics such as cloud security and cloud management.
Is the official study guide for the AWS Certified Solutions Architect exam. It covers all of the topics that are tested on the exam, including cloud concepts, design principles, and best practices.
Practical guide to designing and building cloud architectures on AWS. It covers everything from the basics of cloud architecture to more advanced topics such as cloud security and cloud cost optimization.

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