👨🎓Recommended Courses
A list of required knowledge for the active projects in the Gadet Engineering repositories. This is in order of priority from the runtime language to the deployment architecture.
Before getting started on the courses below, please request access to the gadget business Udemy account from your manager.
🔚 Back-End
If you are starting with a front-end project, skip and move to the front-end courses.
🐍 Python
Python basics and object-oriented features.
🔬 Data Science Libraries
💨 Restful API: FastAPI
Get familiar with Restful API services and some databases frameworks, API Method testing. The below course will help you a lot. If you are a complete noob, then go through all the courses below otherwise at least it is wise to get familiar with FastAPI, MongoDB/DynamoDB (NoSQL)/(MySQL).
➬ Front-End
If you are working on a back-end project, skip this section and go to the Back-End courses.
⎘ Javascript
♽ Learn React with Projects
☁️ React with AWS
Prerequisite Courses: Amazon Web Services (AWS)
☁ Amazon Web Services (AWS)
Now Begin learning AWS Basics: (It is possible to learn the basics of cloud computing from various resources such as Youtube, GeeksforGeeks, and other online resources). If you are familiar with AWS/ any cloud basics then jump to AWS Serverless.
🏃♀️ Fundamentals
Your EC2 instances are configured with Arm64 architecture! Be sure that when using SAM CLI examples from the internet that you are changing the configuration of Lambda functions to deploy into the arm64 architecture.
Example:
Properties:
CodeUri: hello_world/
Handler: app.lambda_handler
Runtime: python3.9
Architectures:
- arm64 # this must say arm64!Lambda Functions (with Python runtime)
There are many ways and languages that anyone can take for learning AWS serverless application model and its underlying services but Python is the most recommended one. An easy introductory course to serverless concepts is lambda functions.
Event-Driven Architecture Bootcamp
This course uses JS runtime but is still a great overview of important services commonly used to build an event-driven architecture. Don't get caught up in the runtime, focus on the features of each AWS service and how they might be used in various use-cases.
SAM CLI (Build, Test, and Deploy Cloud Formation Stacks)
This is by far one of the most critical concepts to understand in the deployment architecture at Gadget Engineering. SAM CLI is the heart of the development, deployment, and testing for serverless architecture.
🗳 Electives
Boto3
Python Library for AWS Services Automation. Study this if you plan on executing automations in runtime (for example, invoking a lambda function or state machine directly from another lamba function).
State Machines & Step Functions
State Machines help to orchestrate workflows through a series of Step Functions, each containing state (before and after execution). Each Step Function represents an AWS service (lambda, SQS, S3, DynamoDB) or a transform using AWS State Machine syntax.
DynamoDB
A simple, powerful document database native to AWS and easily constructed within the SAM templating language.
DevOps
For those getting into the DevOps team, the basics of DevOps with AWS.
AWS Certified Developer Associate
Now buckle up or pull up your socks for AWS Developer:- (You need to have all the basics knowledge until now of all the above courses, including all electives, in order to move forward):-
⌥ Other Useful Concepts (optional)
The topics listed below are not yet concepts integrated directly into any active repositories or are abstracted from the serverless models being implemented. Nonetheless, they might be useful if you are curious to know more and expand your knowledgebase as a developer.
Docker + Kubernetes
The AWS SAM model essentially handles all of the features of Docker and Kubernetes under the hood; but if you are curious to dig into these concepts, take a look at this course.
SQL
For those that have a love for normalized databases and punishment, take a look at this SQL course! While we primarily deploy document-based persistence, SQL still has a place and time and is worth exploring if you are unfamiliar with the concepts of relational databases.
😎 Awesome Resources
Check out these pages for some great additional content and documentation for AWS and python.
👩💻Awesome AWS🐍Awesome PythonLast updated