IFCD39 Desarrollador aws

1. TECHNICAL ESSENTIALS ON AWS

• Introduction and History of AWS
• AWS Foundational Services: EC2, VPC, S3, EBS
• AWS Security, Identity, and Access Management: IAM
• AWS Databases: RDS, DynamoDB
• AWS Management Tools: Aut- Scaling, CloudWatch, Elastic Load Balancing, Trusted Advisor

2. SECURITY FUNDAMENTALS ON AWS

• Introduction t- Cloud Computing and AWS Security
• Access Control and Management
• AWS Security: Govemance, Logging, and Encryption
• Compliance and RISK Management

3. DEVELOPING ON AWS

• Building the Foundation
  • Introduction t- Developing on AWS
  • Choosing a Data Store
  • Developing Storage Solutions with Amazon S3
  • Developing Flexible NoSQL Solutions with Amazon DynamoDB
• Connecting Applications and Data with Event-Driven Processing
  • Working with Events
  • Developing Event-Driven Solutions with Amazon Kinesis Stream
  • Developing Event-Driven Solutions with Amazon SWF, Amazon SQS, and Amazon SNS
  • Developing Event-Driven Solutions with AWS Lambda
• Developing and Deploying Secure, Scalable Applications
  • Developing Secure Applications
  • Caching Information for Scalability
  • Monitoring Your Application and AWS Resources with Amazon CloudWatch
  • Deploying Applications with AWS Elastic Beanstalk and AWS CloudFormation

4. EXAM PREPARATION DEVELOPER ASSOCIATE

• Exam overview and structure
• Content domains and question breakdown
• Topics and concepts within content domains
• Question structure and interpretation techniques
• Sample exam questions

5. DEVOPS ON AWS

• What is DevOps?
• Infrastructure as Code, Part 1: Design and Security
• Infrastructure as Code, Part 2: CloudFormation and Configuration Management
• Continous Integration on AWS
• Continous Deployment on AWS
• Deploying Applications on AWS, Part 1
• Deploying Applications on AWS, Part 2
• Continous Integration and Delivery Pipelines on AWS
• Performance-Tuning Your Deployments
• Administering and Automating Your Infrastructure

6. EXAM PREPARATION DEVOPS PROFESSIONAL

• Course and Exam Overview
• SDLC Automation
• Configuration Management and Infrastructure as Code
• Monitoring and Logging
• Policies and Standards Automation
• Incident and Event Response
• High Availability, Fault Tolerance, and Disaster Recovery

7. DEEP LEARNING ON AWS

• Introduction t- Machine Learning
• Introduction t- Deep Learning
• Lab 1: Setting up a Deep Learning AMI instance and running a multi-layer perception model
• Introduction t- MXNet on AWS
• Lab 2: Running a convolutional neural network model and predecting images on CIFAR-10 dataset
• Deploying Deep Learning Workloads on AWS
• Labs 3: Deploying a Deep Learning model for predicting images using AWS Lambda

8. SECURITY ON AWS

• Introduction t- Cloud Security
• Cloud Aware Govemance and Compliance
• Identity and Access Management
• Lab 1: Using AWS IAM
• Securing AWS Insfractructure Services Part 1
• Lab 2: Creating a virtual private cloud
• Securing AWS Infrastructure Services Part 2
• Securing AWS Container Services Part 1
• Securing AWS Container Services Part 2
• Lab 3: Using RDS security groups
• Securing AWS Abstracted Services
• Lab 4: Securing Amazon S3 buckets
• Using AWS Security Services Part 1
• Lab 5: Capturing logs
• Using Aws Security Products Part 2
• Lab 6: Using AWS Config
• Lab 7: Using AWS Service Catalog
• Data Protection in the AWS Cloud
• Building Compliant Workloads on AWS Case Studies
• Security Incident Management in the Cloud