IFCD39 DESARROLLADOR AWS

SCORM 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

SCORM 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

SCORM 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

SCORM 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

SCORM 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

SCORM 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

SCORM 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

SCORM 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