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via Udemy |
Go to Course: https://www.udemy.com/course/aws-with-python-and-boto3-managing-ec2-and-vpc/
Certainly! Here is a detailed review and recommendation for the course **Managing EC2 and VPC: AWS with Python and Boto3 Series** on Coursera: --- **Course Overview and Summary:** The *Managing EC2 and VPC: AWS with Python and Boto3 Series* is an in-depth, practical course designed for individuals who want to master the automation of AWS infrastructure using Python. Whether you are preparing for the AWS Solutions Architect Associate Exam or looking to enhance your skills in managing AWS resources programmatically, this course offers comprehensive hands-on experience. **What You Will Learn:** - Setting up a development environment with Python 3 and PyCharm. - Configuring AWS credentials securely via AWS CLI. - Creating Virtual Private Clouds (VPCs) with isolated IP space, subnets, and route tables. - Launching and managing EC2 instances — both public and private. - Configuring internet gateways, NAT gateways, and route tables to control network access. - Automating instance startup procedures with bash scripts to install packages, set up web servers, and generate content. - Managing EC2 instances — describing, starting, stopping, and terminating — all through Python scripting using Boto3. **Course Delivery & Approach:** This course emphasizes hands-on learning by guiding students through real-world implementations with Python code. The instructor walks through setting up complete AWS network architectures and EC2 instances devoid of manual configurations, fostering practical skills. The focus on automation not only prepares learners for AWS certification exams but also equips them with skills directly applicable in DevOps, cloud engineering, or system administration roles. **Strengths:** - **Comprehensive Automation Focus:** Excellent for those wanting to learn infrastructure as code (IaC) and automation. - **Practical Environment Setup:** Clear guidance on setting up development environments across different OS. - **Hands-On Projects:** Building a VPC, launching EC2 instances, configuring networking and security, and automating common tasks. - **Real-World Scenarios:** Creation of startup scripts, managing instances with Python, and network configuration. **Recommendations:** - **Ideal for Beginners to Intermediate Users:** While the course covers advanced topics, prior basic knowledge of AWS and Python is helpful. - **Perfect for Hands-On Learners:** If you prefer learning by doing, this course's project-oriented approach is highly suitable. - **Preparatory Course for AWS Certifications:** It provides practical experience vital for AWS exams and real-world job readiness. **Final Verdict:** I highly recommend the *Managing EC2 and VPC: AWS with Python and Boto3 Series* on Coursera for anyone eager to automate AWS infrastructure deployment and management using Python. Its focused, project-based methodology makes complex networking and EC2 management accessible and manageable. Whether you aim to streamline your AWS workflows or simply deepen your understanding of cloud automation, this course will serve as a valuable resource. --- Feel free to ask if you'd like a personalized recommendation or further details!
Do you want to learn how to implement VPC and EC2 resources with Python code on AWS? Do you want to launch EC2 Instances with Python code on AWS? Are you preparing for AWS Solutions Architect Associate Exam and want to put your theory and skills into practice with VPC and EC2? This is the course for you! In this course, we'll start by taking a look at the tools and the environment that we need to work with AWS resources. We'll be using Python 3 and as per the IDE I recommend you to use PyCharm from Jetbrains. It has a free community edition even! After Iteach you how you can set up your environment on both MacOS and Windows, we'll create our credentials for AWS as being the AWS Access Key and AWS Secret Access Key for programmatic access to AWS resources. You'll learn how you can set your AWS credentials globally on your computers using AWS CLI. Before jumping into the implementation, for one last tip, I'll show you how you can have auto-complete capabilities on your PyCharm IDE with PyBoto3!Once we're ready with our environment setup, we'll start implementing our solution on AWS! And remember we'll do everything with Python code; not a single thing manually or by hand! We'll start by creating a VPC. For our own VPC, we'll provide CIDR IP Block to isolate our resources within that VPC. Then we will create two subnets; Public and Private. Public Subnet will be where we will put our internet-facing resources like Public EC2 instances and we will definitely launch an EC2 instance in it! To achieve this, we will create an Internet Gateway or IGW and attach it to our VPC. But of course that is not enough. We will create a Route Table for public routes over the internet and also add our Internet Gateway to the Route Table to allow internet access to our Public EC2 Instance. We will also not forget to associate our Public Subnet with this Public Route table so it can be exclusively used by the Public Subnet and its subresources. And finally, we will modify our Public Subnet so it can automatically assign public IP addresses to the resources we will launch within this Public Subnet. That's the way we are going to achieve internet access to and from our Public EC2 Instance and again we will do all of that with our Python code! Besides, we will create a Private Subnet for our internal resources like a Private EC2 Instance which will only be accessible through the Private or Public Subnet; not open to the world. To achieve this, we will associate our Default Route Table with our Private Subnet and then we will not add our Internet Gateway to this Route Table so it will basically not have any internet access. We will also not enable auto-assign public IP addresses on Private Subnet which is disabled by default. That's basically how we are going to disable internet traffic on our Private EC2 Instance again we will do all this with our Python code! We will not stop there of course so before we launch our Public EC2 Instance, we will develop a startup bash script to automatically run when we launch our EC2 Instance. In this script, we will first update our packages with yum package manager so we can stay up-to-date with the latest updates and security patches. Then we will install a HTTP server on it and make sure it's working by a startup check command. After we prepare our HTTP server, we will develop a simple HTML page as as greeting and we will write this page to disk to be served when we try to access our Public EC2 Instance. And remember, we will again do all of this with our Python code! After finishing up launching our EC2 Instances, we'll nove on to learn how to describe EC2 Instances on AWS in detailed way; from their IP adresses to the subnet which they belong to. Then we'll learn how to learn how to manage EC2 Instances in various ways. We'll Stop, Start and Terminate EC2 Instances and again the best part is we will do all of that with our Python code! Lots of information, hands-on practice and experience is waiting for you in this course on AWS. So, don't miss any more time and join me in this course to sharpen your skills on AWS using Python and Boto3!