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In this article, we explore the top 8 free Amazon (AWS) courses and certificates that are essential for anyone looking to upskill in cloud computing, AI, DevOps, and more. These courses are designed to provide practical knowledge and prepare you for AWS certifications. Below are the courses along with their respective URLs:
1. to Artificial Intelligence
This course covers AI, machine learning, deep learning, and Amazon’s application of AI in its products.
🔗 https://lnkd.in/gwm6yJ59
2. to Blockchain
A beginner-friendly course that explains blockchain concepts, benefits, and real-world applications.
🔗 https://lnkd.in/gjWjpGt8
3. Data Analytics Learning Plan
This plan helps professionals design, build, secure, and maintain analytics solutions, preparing them for the AWS Certified Data Analytics – Specialty exam.
🔗 https://lnkd.in/gh5iFQtF
4. DevOps Engineer Learning Plan
Learn CI/CD, version control, and infrastructure as code to prepare for the AWS Certified DevOps Engineer exam.
🔗 https://lnkd.in/gCbU8fRC
5. Getting Started with DevOps on AWS
A technical course for understanding AWS DevOps fundamentals, including methods, processes, and tools.
🔗 https://lnkd.in/gcNFsdDs
6. Machine Learning Terminology and Process
This course explains fundamental machine learning principles, data processing techniques, and project phases.
🔗 https://lnkd.in/gcaMFkbg
7. Machine Learning Plan
A comprehensive plan to prepare for the AWS Certified Machine Learning – Specialty exam, covering cloud computing and machine learning services.
🔗 https://lnkd.in/gWn6htQk
8. AWS Cloud Quest: Cloud Practitioner
Gain hands-on experience with AWS services and learn to develop real-world solutions.
🔗 https://lnkd.in/gvRuRYbc
You Should Know:
To maximize your learning experience, here are some practical commands and steps to practice while taking these courses:
Linux Commands for AWS DevOps:
1. Install AWS CLI on Linux:
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" unzip awscliv2.zip sudo ./aws/install
2. Configure AWS CLI:
aws configure
3. List S3 Buckets:
aws s3 ls
4. Launch an EC2 Instance:
aws ec2 run-instances --image-id ami-0abcdef1234567890 --instance-type t2.micro --key-name MyKeyPair
Windows Commands for AWS:
1. Install AWS CLI on Windows:
Download the AWS CLI MSI installer from AWS CLI Installer and follow the installation steps.
2. Configure AWS CLI:
Open Command Prompt and run:
aws configure
3. List EC2 Instances:
aws ec2 describe-instances
Machine Learning Setup:
1. Install Python and Jupyter Notebook:
sudo apt update sudo apt install python3 python3-pip pip3 install jupyterlab
2. Run Jupyter Notebook:
jupyter-lab
Blockchain Development:
1. Install Ethereum Tools:
sudo apt-get install software-properties-common sudo add-apt-repository -y ppa:ethereum/ethereum sudo apt-get update sudo apt-get install ethereum
2. Start a Private Blockchain:
geth --datadir ./chaindata init genesis.json geth --datadir ./chaindata --networkid 1234 console
What Undercode Say:
These free AWS courses are a goldmine for anyone looking to advance their career in cloud computing, AI, or DevOps. By combining these courses with hands-on practice using the commands and steps provided, you can build a strong foundation and prepare for AWS certifications. Whether you’re a beginner or an experienced professional, these resources will help you stay ahead in the rapidly evolving tech landscape.
Expected Output:
- Gain practical skills in AWS services.
- Prepare for AWS certifications.
- Enhance your knowledge in AI, DevOps, and blockchain.
- Access free, high-quality learning resources.
Start your journey today by enrolling in these courses and practicing the commands provided!
References:
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