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AWS (Amazon Web Services) Mastery: Essential Cloud Skills

Posted By: lucky_aut
AWS (Amazon Web Services) Mastery: Essential Cloud Skills

AWS (Amazon Web Services) Mastery: Essential Cloud Skills
Last updated 2/2024
Duration: dt2h49m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 11.8 GB
Genre: eLearning | Language: English

Empower your career with comprehensive AWS training! Harness the full potential of AWS for scalable & secure solutions.


What you'll learn
Understanding Cloud Computing Fundamentals: Learn the basics of cloud computing, including key concepts like elasticity, scalability, and pay-as-you-go pricing
Understand the AWS Global Infrastructure
Mastering AWS Services: Gain in-depth knowledge of core AWS services such as EC2, S3, RDS, IAM, and VPC
Mastering AWS Services: Understand Lambda, DynamoDB, and Redshift
Learn about Containers and Serverless Computing
Security Best Practices: Understand AWS security principles and best practices for securing your cloud infrastructure, including identity and access management
Monitoring and Optimization: Learn how to monitor AWS resources using CloudWatch, CloudTrail, and other monitoring tools
Learn how to practice Machine Learning in AWS

Requirements
Enthusiasm and determination to make your mark on the world!

Description
A warm welcome to the
AWS (Amazon Web Services)
course by
Uplatz
.
AWS
stands for Amazon Web Services, which is a comprehensive and widely-used cloud computing platform provided by Amazon. It offers a wide range of services including computing power, storage solutions, networking, databases, machine learning, analytics, and more, all delivered over the internet.
Features of AWS
Infrastructure as a Service (IaaS)
: AWS provides virtual servers (EC2 instances), storage (S3), and networking resources (VPC) on which users can run their applications without worrying about the underlying hardware.
Platform as a Service (PaaS)
: AWS offers platforms and tools like AWS Lambda for serverless computing, AWS Elastic Beanstalk for deploying and managing applications, and AWS Elastic Container Service for container orchestration.
Software as a Service (SaaS)
: AWS provides various software solutions like Amazon RDS for managed databases, Amazon Redshift for data warehousing, Amazon SageMaker for machine learning, and many more.
Global Infrastructure
: AWS operates in multiple regions across the globe, each with multiple availability zones, providing high availability and fault tolerance.
AWS offers a vast array of services catering to various needs of businesses and developers. Some of the important and widely-used services within AWS include:
Amazon EC2 (Elastic Compute Cloud)
: Provides resizable compute capacity in the cloud, allowing users to run virtual servers for various computing tasks.
Amazon S3 (Simple Storage Service)
: Offers scalable object storage for storing and retrieving data. It is highly durable, secure, and designed for 99.999999999% (11 nines) of durability.
Amazon RDS (Relational Database Service)
: A managed database service that makes it easy to set up, operate, and scale relational databases such as MySQL, PostgreSQL, SQL Server, and Oracle.
Amazon Lambda
: A serverless compute service that lets you run code without provisioning or managing servers. It automatically scales and executes code in response to triggers without requiring manual intervention.
Amazon VPC (Virtual Private Cloud)
: Allows users to provision a logically isolated section of the AWS Cloud where they can launch AWS resources in a virtual network.
Amazon IAM (Identity and Access Management)
: Enables users to securely control access to AWS services and resources by creating and managing users, groups, and permissions.
Amazon SNS (Simple Notification Service)
: A fully managed messaging service for coordinating the delivery of messages to subscribing endpoints and clients.
Amazon SQS (Simple Queue Service)
: A fully managed message queuing service that enables decoupling and scaling of microservices, distributed systems, and serverless applications.
Amazon Route 53
: A scalable and highly available Domain Name System (DNS) web service designed to route end users to internet applications.
Amazon ECS (Elastic Container Service)
: A highly scalable, high-performance container orchestration service that supports Docker containers and allows you to easily run and scale containerized applications on AWS.
Amazon DynamoDB
: A fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.
Amazon CloudFront
: A fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency.
These are just a few examples of the extensive range of services offered by AWS. Each service caters to different use cases and requirements, providing users with the flexibility and scalability needed to build and deploy various types of applications and infrastructure in the cloud.
AWS - Course Curriculum
Topic 1: Introduction to Cloud Computing and AWS
Overview of cloud computing concepts
Introduction to AWS and its services
Understanding the AWS Global Infrastructure
Setting up an AWS Free Tier account
Topic 2: AWS Compute Services
Amazon EC2 (Elastic Compute Cloud)
Launching and managing EC2 instances
EC2 instance types, pricing, and purchasing options
Auto Scaling and Elastic Load Balancing
Topic 3: AWS Storage Services
Amazon S3 (Simple Storage Service)
Amazon EBS (Elastic Block Store)
Amazon Glacier
Data transfer methods and costs
Topic 4: AWS Networking Services
Amazon VPC (Virtual Private Cloud)
Subnets, route tables, and security groups
VPC peering and VPN connections
AWS Direct Connect
Topic 5: AWS Database Services
Amazon RDS (Relational Database Service)
Amazon DynamoDB
Amazon Redshift
Database migration and replication
Topic 6: AWS Security and Identity Services
Amazon IAM (Identity and Access Management)
Security best practices in AWS
AWS Key Management Service (KMS)
Encryption options in AWS
Topic 7: AWS Monitoring and Management Services
Amazon CloudWatch
AWS CloudTrail
AWS Config
AWS Trusted Advisor
Topic 8: Deployment and Automation
AWS CloudFormation
AWS Elastic Beanstalk
Infrastructure as Code (IaC) principles
Continuous Integration and Continuous Deployment (CI/CD) pipelines with AWS tools
Topic 9: Serverless Computing with AWS
AWS Lambda
Amazon API Gateway
AWS Step Functions
Serverless application architecture patterns
Topic 10: Advanced AWS Topics
AWS Advanced Networking
AWS Machine Learning Services
AWS Big Data Services (e.g., Amazon EMR, Amazon Kinesis)
AWS IoT (Internet of Things) services
Topic 11: Cost Optimization and Billing
Understanding AWS pricing models
Cost management tools and best practices
Optimizing AWS resources for cost efficiency
Budgeting and monitoring AWS spending
Benefits of learning AWS include:
High Demand
: AWS skills are in high demand in the job market as many organizations are migrating to the cloud or expanding their cloud infrastructure.
Scalability
: AWS allows you to scale your resources up or down based on demand, which can help organizations save costs and improve performance.
Cost-effectiveness
: AWS offers a pay-as-you-go pricing model, allowing organizations to pay only for the resources they use without any upfront costs.
Flexibility
: AWS provides a wide range of services and tools, allowing users to choose the right services for their specific needs and customize their infrastructure as required.
Innovation
: AWS is constantly adding new services and features, providing opportunities for learning and innovation in cloud computing.
Global Reach
: With AWS, you can deploy your applications and services globally, reaching users all over the world with low latency.
Learning AWS can open up a wide range of career opportunities and provide valuable skills for working in the rapidly-growing field of cloud computing.
Who this course is for:
Beginners and newbies who wish to learn AWS
Anyone aspiring to become a Cloud Engineer/Architect
Cloud Data Engineers
Cloud Architects - AWS
AWS Cloud Developers
Platform Engineers - AWS
Cloud Support Engineers
AWS DevOps Engineers
AWS Cloud Administrators
Data Scientists
Machine Learning Engineers
Data Engineers
Cloud Consultants
Cloud Project Managers
Cloud Practioners
Software Engineers
Cloud Application Developers

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