Deep Learning on AWS: In this one-day course, you will learn cloud-based deeplearning solutions on the AWSplatform. You will learn how to run your models on the cloud using Amazon EC2‒based deep learning Amazon Machine Image (AMI) and Apache MXNet on AWSframeworks. In addition, you will learn how to use Amazon SageMaker and deploy your deep learning models using AWSservices like AWS Lambda and Amazon Elastic Container Service (Amazon ECS)—all while designing intelligent systems on Amazon web services. .
Course Objectives
In this course, you will learn to:
- Define machine learning and deep learning
- Identify the concepts in a deep learning ecosystem
- Leverage Amazon SageMaker and MXNet programming frameworks for deep learning workloads
- Fit AWSsolutions for deep learning deployments
Intended Audience
This course is intended for:
- Developers who are responsible for developing deep learning applications
- Developers who want to understand concepts behind deep learning and how to implement a deep learning solution on AWS
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Module 1- AWS Overview
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Module 02 - Designing Highly Available, Cost-efficient, Fault-tolerant, and Scalable Systems
- Lesson 1: Designing Highly Available, Cost-efficient, Fault-tolerant, and Scalable Systems
- Lesson 2: How to design Cloud Services
- Lesson 3: Knowledge Check
- Lesson 4: Planning and Designing
- Lesson 5: Knowledge Check
- Lesson 6: Monitoring and Logging
- Lesson 7: Knowledge Check
- Lesson 8: Hybrid IT architectures
- Lesson 9: Knowledge Check
- Lesson 10: Practice Assignment Designing Hybrid Storage
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Module 03 - Identity Access Management(IAM)
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Module 04 - Amazon Virtual Private Cloud(VPC)
- Lesson 1: Amazon Virtual Private Cloud (VPC)
- Lesson 2: Amazon VPC and Subnets
- Lesson 3: Knowledge Check
- Lesson 4: Networking
- Lesson 5: Knowledge Check
- Lesson 6: Using Security Groups and Network ACLs
- Lesson 7: Knowledge Check
- Lesson 8: Amazon VPC Best Practices and Costs
- Lesson 9: Practice Assignment Designing a Custom VPC
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Module 05 - Elastic Compute Cloud(EC2)
- Lesson 1: Cloud Compute with AWS
- Lesson 2: Amazon EC2 Overview
- Lesson 3: Amazon Machine Images (AMI)
- Lesson 4: Launch and connect to an EC2 Linux instance Demo 1
- Lesson 5: Launch and connect to an EC2 Windows instance Demo 2
- Lesson 6: Create an AMI Demo 3
- Lesson 7: Introduction to EC2 Instance Types
- Lesson 8: Overview of Amazon EBS
- Lesson 9: EC2 Pricing
- Lesson 10: Elastic Load Balancing (ELB)
- Lesson 11: Auto Scaling
- Lesson 12: AWS Services
- Lesson 13: AWS Lambda Demo
- Lesson 14: Amazon Elastic Container Service
- Lesson 15: EC2 Best Practices and Costs
- Lesson 16: Practice Assignment Configure ELB
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Module 06 - Amazon Simple Storage Service(S3)
- Lesson 1: Amazon Simple Storage Service (S3)
- Lesson 2: S3 Overview and Buckets
- Lesson 3: Version Control and Lifecycle Management
- Lesson 4: CloudFront and CDNs
- Lesson 5: Security and Encryption
- Lesson 6: Amazon Import – Export Snowball
- Lesson 7: S3 Best Practices and Costs
- Lesson 8: Practice Assignment Create an Amazon S3 bucket
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Module 07 - Amazon Route 53
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Module 08 - Databases
- Lesson 1: Databases
- Lesson 2: Databases Overview
- Lesson 3: Amazon Relational Database Service (RDS)
- Lesson 4: AMI Databases
- Lesson 5: Key Takeaways
- Lesson 6: Amazon DynamoDB
- Lesson 7: Amazon Redshift
- Lesson 8: Amazon ElastiCache
- Lesson 9: Amazon Aurora
- Lesson 10: AWS Database Migration Services (DMS)
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Module 09 - Application Services
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Module 10 - Security Practices for optimum Cloud Deployment
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Module 11 - Disaster Recovery
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Module 12 - Troubleshooting
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