Why this course?

Description

This comprehensive course offers a deep dive into cloud computing fundamentals using Amazon Web Services (AWS). Over seven modules, you'll progressively build your knowledge, starting with AWS account setup and management, including budgeting and IAM. Next, you'll explore key cloud computing services like EC2 for virtual machine creation, load balancing, auto scaling, and web app deployment. Then, you'll delve into AWS storage and database solutions. The course also covers server less computing with AWS Lambda, featuring hands-on projects for practical experience. You'll gain insights into containerization within AWS and wrap up with an overview of AWS AI services. By the end, you'll have a solid understanding of AWS and cloud computing essentials, ready to leverage these skills in real-world scenarios.

Total Duration: 7 Hrs. | Modules: 7 || Project: 2

Related Tags : AWS, Cloud Computing, Virtual Machines, Python, Web application, Cloud, Server less

Module - 1: Getting started with cloud

• Cloud computing introduction
• AWS Introduction
• Availability zone, Regions
• Account Creation

 

Module - 2: Management and Governance

• Budgets
• Bills
• Pricing Calculator
• IAM
• Cloudtrail
• Cloudwatch

 

Module - 3: Computing

• Ports, Protocols and IP
• Virtual Machines
• Linux
• Windows
• Subnets
• Load Balancing
• Auto-Scaling
• Elastic Beanstalk

 

Module - 4: Databases & Storage

• EBS
• EFS
• S3
• RDS
• DynamoDB

 

Module - 5: Serverless with Lambda

• Lambda
• Lambda Layers
• Lambda Triggers
• Image resizing project with aws lambda & S3
• Mail alert project with lambda & SES
• Throttle

 

Module - 6: Microservices

• ECS
• EKS
• ECR project with lambda

 

Module - 7: AI Services

• Rekognition
• Transcribe
• Textract
• Polly
• Sagemaker
• Chatbot creation with LEX
• No Code Machine Learning with Canvas

 

Module 1: Getting Started with Cloud

Key Learning Objectives:

In this module, you will be introduced to the fundamental concepts of cloud computing, including its advantages and use cases. You will also dive into Amazon Web Services (AWS), understanding its significance in the cloud industry. Learn about AWS's infrastructure, including availability zones and regions, and get hands-on experience with creating AWS accounts.

 

Module 2: Management and Governance

Key Learning Objectives:

In this module, you will explore cloud management and governance. Learn to manage your AWS budget effectively and understand how billing works. Discover how to estimate costs using the Pricing Calculator. Dive into Identity and Access Management (IAM) for user and resource access control. Explore AWS CloudTrail for audit and monitoring and AWS CloudWatch for real-time resource tracking.

 

Module 3: Computing

Key Learning Objectives:

In this module, you'll delve into cloud computing essentials. Understand ports, protocols, and IP addressing. Create and manage virtual machines on AWS, both for Linux and Windows environments. Explore network concepts like subnets. Learn about load balancing and auto-scaling for high availability, and discover how to deploy web applications using Elastic Beanstalk.

 

Module 4: Databases & Storage

Key Learning Objectives:

In this module, you'll explore AWS databases and storage solutions. Dive into Elastic Block Store (EBS) for block storage, Elastic File System (EFS) for scalable file storage, and Amazon S3 for object storage. Learn about managed relational databases with Amazon RDS and NoSQL databases with DynamoDB.

 

Module 5: Serverless with Lambda

Key Learning Objectives:

In this module, you'll venture into serverless computing with AWS Lambda. Understand the concept of serverless architecture and its benefits. Learn how to create Lambda functions, use Lambda Layers, and configure Lambda Triggers. Get hands-on with projects like image resizing using Lambda and S3, and email alerts using Lambda and SES. Explore the concept of throttling.

 

Module 6: Microservices

Key Learning Objectives:

In this module, you'll explore microservices architecture on AWS. Learn about Amazon Elastic Container Service (ECS) for container orchestration, Amazon Elastic Kubernetes Service (EKS) for Kubernetes deployment, and Elastic Container Registry (ECR) for container image management. Engage in a project involving Lambda within ECR.

 

Module 7: AI Services

Key Learning Objectives:

In this module, you'll delve into AWS AI services. Explore image and video analysis with Amazon Rekognition, audio transcription with Amazon Transcribe, and text extraction with Amazon Textract. Discover how to generate lifelike speech with Amazon Polly. Learn about Amazon SageMaker for machine learning model development and deploy chatbots using Amazon Lex. Explore no-code machine learning with Amazon Canvas.

 

For More Projects: 

NLP Projects (19) - https://www.pantechelearning.com/students-project/nlp-projects/

Python Projects (132) - https://www.pantechelearning.com/students-project/python-projects/

For More Products:

Raspberry pi - https://www.pantechelearning.com/diy-kits-sensors/raspberry-pi-kits-accessories/ 

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Pantech eLearning offers flexible eLearning courses online