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Russell Sayers
and
Morgan Willis
This course gives you a thorough introduction to the python programming language. You'll start by learning the definition of python, its history, semantics, and how it works. The first week concludes by writing a python script to solve a problem. In Week 2, you'll learn about Serverless Architectures and understand the differences between microservices, service-oriented and monolith architectures. You'll build a microservices architecture by learning how to use the following tools: AWS Lambda, Amazon API Gateway, and Cloud9. It's then time to go deep with AWS Databases. You'll see Amazon RDS and Amazon DynamoDB in action, visualizing the important role they play in developing applications in python. The course's final week will cover application integration services. Amazon's Simple Notification Service (SQS), Simple Queue Service (SQS), and EventBridge take center stage as important “glue” components for scalable, cloud-based applications. You'll close the course with a hands-on project, writing some code to use some hardcoded data to write to dynamodb and then convert that into a lambda function.
Register for this course and see more details by visiting:
OpenCourser.com/course/pr5g66/developing
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What's inside
Syllabus
Module 1: Welcome to the Course
This module starts with how to develop applications in a team. An application engineer doesn’t work alone, and you learn how an engineer interacts with roles such as architects, product managers, quality assurance (QA), support, and DevOps teams. Next, you learn the basics of Python programming. The goal is to get you to the level where you can read and understand some basic Python code. If you already know a programming language, many of the features of Python will look similar to the programming languages you already know.
Read more
Syllabus
Module 1: Welcome to the Course
This module starts with how to develop applications in a team. An application engineer doesn’t work alone, and you learn how an engineer interacts with roles such as architects, product managers, quality assurance (QA), support, and DevOps teams. Next, you learn the basics of Python programming. The goal is to get you to the level where you can read and understand some basic Python code. If you already know a programming language, many of the features of Python will look similar to the programming languages you already know.
Read more
Module 2: Architecture Comparison
This module focuses on software architecture. You learn about AWS Lambda as a home for your application code. You also investigate three different types of application architecture: microservices architecture, monolithic architecture, and service-oriented architecture. You walk through a conceptual ecommerce application, and compare how to build an application based on each architecture type. Next, you learn how to expose your application logic as an application programming interface (API). In a lab environment, you deploy a Lambda function and an Amazon API Gateway API by using the AWS Serverless Application Model (AWS SAM).
Module 3: Database
In this module, you learn about using a database for your application data. You explore both relational databases with Amazon Relational Database service (Amazon RDS), and NoSQL databases with Amazon DynamoDB. You learn about the differences between relational databases and NoSQL databases, and when you would choose one type of database instead of the other. You also explore different examples of how to access relational databases and DynamoDB from a Python application.
Module 4: Messaging Services
This module introduces you to another way that you can integrate your applications: by using messaging and event buses. You learn how to integrate applications by creating a topic in Amazon Simple Notification Service (Amazon SNS) and adding multiple subscribing applications. You then explore how an application sends messages to an Amazon Simple Queue Service (Amazon SQS) queue, and how consumer applications retrieve messages from that queue. Next, you investigate event-driven applications, which are another type of application architecture. You learn how an application can be designed as a series of both events, and applications that create and respond to these events. Finally, you learn how an application can receive, filter, transform, route, and deliver events by using Amazon EventBridge.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers database technologies, which are common in industry
Teaches microservices architecture, which is in high demand in industry
Develops skills in AWS, which is a popular cloud computing platform
Taught by industry recognized instructors, Morgan Willis and Russell Sayers
Builds a strong foundation for beginners in Python programming
Offers hands-on labs and interactive materials
Save this course
Save Developing Applications in Python on AWS to your list so you can find it easily later:
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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 Developing Applications in Python on AWS with these
activities:
Review Object-Oriented Programming
Show steps
Refresh knowledge of object-oriented programming concepts like classes, objects, and inheritance.
Browse courses on
Object-Oriented Programming
Show steps
-
Review notes or online resources on object-oriented programming.
-
Complete practice exercises to reinforce understanding.
-
Identify real-world examples of object-oriented programming in python applications.
Review Basic Data Structures
Show steps
Refresh knowledge of basic data structures used in python, such as lists, tuples, and dictionaries.
Browse courses on
Data Structures
Show steps
-
Review notes or online resources on basic data structures.
-
Complete practice exercises to reinforce understanding.
Read Getting Started with Python
Show steps
Reinforce basic python concepts that will be used throughout this course.
View
Python Cookbook: Recipes for Mastering Python 3
on Amazon
Show steps
-
Read chapters 1-3 to gain an overview of the python programming language syntax and semantics.
-
Complete the practice exercises at the end of each chapter.
Three other activities
Expand to see all activities and additional details
Show all six activities
Python Coding Challenges
Show steps
Practice problem-solving and improve coding skills in preparation for course assignments.
Browse courses on
Python
Show steps
-
Solve at least 10 coding challenges on platforms like CodeChef or HackerRank.
-
Debug and optimize your solutions for efficiency and conciseness.
Python Study Group
Show steps
Collaborate with peers to enhance understanding and share knowledge.
Show steps
-
Form a study group with classmates who have similar learning goals.
-
Regularly meet to discuss course topics, share notes, and work through problems together.
Build a Python Project
Show steps
Demonstrate understanding and apply course concepts by creating a practical project.
Show steps
-
Identify a problem or idea that can be solved or implemented using python.
-
Plan and design the project, including requirements, architecture, and implementation.
-
Develop and test the project, ensuring functionality and code quality.
-
Document and present the project, showcasing its features and capabilities.
Review Object-Oriented Programming
Show steps
Refresh knowledge of object-oriented programming concepts like classes, objects, and inheritance.
Browse courses on
Object-Oriented Programming
Show steps
Show steps
Show steps
- Review notes or online resources on object-oriented programming.
- Complete practice exercises to reinforce understanding.
- Identify real-world examples of object-oriented programming in python applications.
Review Basic Data Structures
Show steps
Refresh knowledge of basic data structures used in python, such as lists, tuples, and dictionaries.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Review notes or online resources on basic data structures.
- Complete practice exercises to reinforce understanding.
Read Getting Started with Python
Show steps
Reinforce basic python concepts that will be used throughout this course.
View
Python Cookbook: Recipes for Mastering Python 3
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3 to gain an overview of the python programming language syntax and semantics.
- Complete the practice exercises at the end of each chapter.
Three other activities
Expand to see all activities and additional details
Show all six activities
Python Coding Challenges
Show steps
Practice problem-solving and improve coding skills in preparation for course assignments.
Browse courses on
Python
Show steps
Show steps
Show steps
- Solve at least 10 coding challenges on platforms like CodeChef or HackerRank.
- Debug and optimize your solutions for efficiency and conciseness.
Python Study Group
Show steps
Collaborate with peers to enhance understanding and share knowledge.
Show steps
Show steps
Show steps
- Form a study group with classmates who have similar learning goals.
- Regularly meet to discuss course topics, share notes, and work through problems together.
Build a Python Project
Show steps
Demonstrate understanding and apply course concepts by creating a practical project.
Show steps
Show steps
Show steps
- Identify a problem or idea that can be solved or implemented using python.
- Plan and design the project, including requirements, architecture, and implementation.
- Develop and test the project, ensuring functionality and code quality.
- Document and present the project, showcasing its features and capabilities.
Career center
Learners who complete Developing Applications in Python on AWS will develop knowledge and skills
that may be useful to these careers:
Software Architect
Software Architect
A Software Architect designs and builds the overall architecture of software systems. They ensure that the system is scalable, reliable, and maintainable. This course provides a strong foundation in Python programming, which is a popular language for developing software applications. The course also covers serverless architectures, databases, and application integration services. These topics are essential for designing and building modern software systems.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with stakeholders to understand the requirements of the application and then design and implement a solution. This course provides a strong foundation in Python programming, which is a popular language for developing software applications. The course also covers serverless architectures, databases, and application integration services. These topics are essential for developing modern software applications.
Web Developer
Web Developer
A Web Developer designs and develops websites and web applications. They work with designers and other stakeholders to create websites that are user-friendly, functional, and visually appealing. This course provides a strong foundation in Python programming, which is a popular language for developing web applications. The course also covers serverless architectures, databases, and application integration services. These topics are essential for developing modern web applications.
Data Scientist
Data Scientist
A Data Scientist uses data to solve problems and make decisions. They collect, clean, and analyze data to identify patterns and trends. This course provides a strong foundation in Python programming, which is a popular language for data science. The course also covers databases and data visualization. These topics are essential for data scientists.
DevOps Engineer
DevOps Engineer
A DevOps Engineer works with developers and operations teams to ensure that software is deployed and maintained efficiently. They automate tasks and processes to improve the speed and quality of software delivery. This course provides a strong foundation in Python programming, which is a popular language for DevOps. The course also covers serverless architectures, databases, and application integration services. These topics are essential for DevOps engineers.
Cloud Engineer
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud computing systems. They work with customers to understand their needs and then design and implement cloud solutions. This course provides a strong foundation in Python programming, which is a popular language for cloud computing. The course also covers serverless architectures, databases, and application integration services. These topics are essential for cloud engineers.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. They use this information to make recommendations and improve decision-making. This course provides a strong foundation in Python programming, which is a popular language for data analysis. The course also covers databases and data visualization. These topics are essential for data analysts.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They ensure that databases are running smoothly and that data is secure. This course provides a strong foundation in Python programming, which is a popular language for database administration. The course also covers databases and data visualization. These topics are essential for database administrators.
Systems Engineer
Systems Engineer
A Systems Engineer designs, builds, and maintains computer systems. They work with customers to understand their needs and then design and implement system solutions. This course provides a strong foundation in Python programming, which is a popular language for systems engineering. The course also covers serverless architectures, databases, and application integration services. These topics are essential for systems engineers.
Network Engineer
Network Engineer
A Network Engineer designs, builds, and maintains computer networks. They work with customers to understand their needs and then design and implement network solutions. This course may be useful for network engineers who want to learn more about Python programming. However, the course does not cover network engineering topics in detail.
Security Engineer
Security Engineer
A Security Engineer designs, builds, and maintains computer security systems. They work with customers to understand their needs and then design and implement security solutions. This course may be useful for security engineers who want to learn more about Python programming. However, the course does not cover security engineering topics in detail.
IT Manager
IT Manager
An IT Manager plans, organizes, and directs the activities of an IT department. They work with senior management to develop and implement IT strategies. This course may be useful for IT managers who want to learn more about Python programming. However, the course does not cover IT management topics in detail.
Project Manager
Project Manager
A Project Manager plans, organizes, and executes projects. They work with stakeholders to define project goals and objectives, and then develop and implement project plans. This course may be useful for project managers who want to learn more about Python programming. However, the course does not cover project management topics in detail.
Business Analyst
Business Analyst
A Business Analyst works with businesses to identify and solve problems. They analyze business processes and data to identify areas for improvement. This course may be useful for business analysts who want to learn more about Python programming. However, the course does not cover business analysis topics in detail.
Technical Writer
Technical Writer
A Technical Writer writes and edits technical documentation. They work with subject matter experts to gather information and then write clear and concise documentation. This course may be useful for technical writers who want to learn more about Python programming. However, the course does not cover technical writing topics in detail.
For more career information including salaries, visit:
OpenCourser.com/course/pr5g66/developing
Reading list
We've selected nine 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
Developing Applications in Python on AWS.
Provides a comprehensive introduction to the Python programming language. It covers the basics of Python syntax, data types, control flow, and functions. It also includes hands-on projects that allow you to apply your new skills to real-world problems.
Save
Comprehensive introduction to Python programming. It covers the basics of Python syntax, data types, control flow, and functions. It also includes chapters on object-oriented programming and data structures.
Shows you how to use Python to automate tasks. It covers topics such as web scraping, data analysis, and working with APIs. It also includes projects that you can use to practice your skills.
Comprehensive guide to using Python for data analysis. It covers topics such as data cleaning, data manipulation, and data visualization. It also includes case studies that show you how to use Python to solve real-world data analysis problems.
Comprehensive guide to using Python for machine learning. It covers topics such as supervised learning, unsupervised learning, and deep learning. It also includes case studies that show you how to use Python to solve real-world machine learning problems.
Save
Comprehensive guide to using Python for software design. It covers topics such as object-oriented programming, design patterns, and software testing. It also includes case studies that show you how to use Python to solve real-world software design problems.
Save
Comprehensive guide to using Python for programmers. It covers topics such as Python syntax, data types, control flow, and functions. It also includes chapters on object-oriented programming and data structures.
Save
Collection of 59 specific ways to write better Python code. It covers topics such as code style, code organization, and code performance. It also includes case studies that show you how to apply these tips to real-world Python code.
Save
Collection of Python tricks and techniques. It covers topics such as working with strings, working with lists, and working with dictionaries. It also includes case studies that show you how to use these tricks to solve real-world Python problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/pr5g66/developing
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Effort
2-4 hours per week
Level
Introductory
Via
Coursera
Institution
Amazon Web Services
Instructors
Russell Sayers
Morgan Willis
Language
English
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آذربایجان دیلی
This course belongs to a
collection
called
AWS Cloud Technology Consultant. It's comprised of eight courses:
- Introduction to Information Technology and AWS Cloud
- Developing Applications in Python on AWS (viewing)
- Capstone: Following the AWS Well Architected Framework
- Data Analytics and Databases on AWS
- Providing Technical Support for AWS Workloads
- DevOps on AWS and Project Management
- Automation in the AWS Cloud
- Skills for Working as an AWS Cloud Consultant
Good to know
Covers database technologies, which are common in industry
Teaches microservices architecture, which is in high demand in industry
Develops skills in AWS, which is a popular cloud computing platform
Taught by industry recognized instructors, Morgan Willis and Russell Sayers
Builds a strong foundation for beginners in Python programming
Offers hands-on labs and interactive materials
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