AWS Certified Solutions Architect - Associate (SAA-C03): Storage, Databases, Machine Learning, and Big Data Analytics
This course focuses on storage, databases, machine learning, and big data analytics in AWS, developing your skills and providing you with everything you need to apply your knowledge to the AWS Certified Solutions - Architect exam.
What you'll learn
Becoming an AWS Solutions Architect requires extensive knowledge of the entire AWS ecosystem, and an in-depth understanding of many storage, database, machine learning, and analytics services. In this course, AWS Certified Solutions Architect - Associate (SAA-C03): Storage, Databases, Machine Learning, and Big Data Analytics, you’ll learn to leverage many of these services within AWS. First, you’ll explore when to use the appropriate database technologies for your workloads. Next, you’ll discover how to leverage several of the machine learning and big data services for different scenarios. Finally, you’ll learn how to implement different services for migrations and analytics. When you’re finished with this course, you’ll have the skills and knowledge of AWS Solutions Architecture needed to pass exam objectives covering these different AWS services, as well as successfully implement them into real-world designs.
Table of contents
- Reviewing Relational Databases 5m
- Amazon Relational Database Service (RDS) 5m
- Amazon RDS Networking 5m
- RDS Backups and Maintenance 6m
- Demo: Create an RDS Instance and Enable Automated Backups 13m
- Amazon RDS Multi-AZ and High-availability 7m
- Demo: Creating a Multi-AZ RDS Instance Deployment 11m
- Offloading Read Traffic with Read Replicas 6m
- Demo: Creating an RDS Multi-AZ Cluster Deployment 8m
- Amazon RDS Authentication 3m
- Demo: Using AWS Secrets Manager with Amazon RDS 10m
- Amazon RDS Encryption 3m
- Cost Optimization for Amazon RDS 2m
- RDS Custom 2m
- RDS Proxy 4m
- Module Summary and Exam Tips 6m
- Amazon Aurora Overview 4m
- Amazon Aurora Storage 3m
- Replicas in Amazon Aurora 3m
- High-availability and Scaling 3m
- Backing up Amazon Aurora 4m
- Demo: Creating an Amazon Aurora Database - Part 1 11m
- Demo: Creating an Amazon Aurora Database - Part 2 8m
- Aurora Serverless 3m
- Demo: Creating an Amazon Aurora Serverless Database 4m
- Amazon Aurora Global Databases 3m
- Amazon Aurora Machine Learning 2m
- Module Summary and Exam Tips 6m
- Amazon DynamoDB Overview 5m
- Amazon DynamoDB High-availability and Monitoring 2m
- DynamoDB Capacity Modes 7m
- Demo: Creating an Amazon DynamoDB Table 13m
- DynamoDB Security 2m
- Demo: Using Different KMS Keys for DynamoDB Encryption 7m
- DynamoDB Global Tables 2m
- DynamoDB Streams 5m
- Demo: Triggering Lambda Functions via DynamoDB Streams 12m
- DynamoDB Accelerator (DAX) 4m
- DynamoDB Items Time to Live (TTL) 3m
- Amazon DynamoDB Backups 6m
- Module Summary and Exam Tips 6m
- AWS Snow Family 7m
- AWS Storage Gateway - File Gateways 5m
- AWS Storage Gateway - Volume Gateways 4m
- AWS Storage Gateway - Tape Gateways 4m
- AWS Lake Formation 10m
- AWS Transfer Family 7m
- AWS DataSync 8m
- AWS Backup 8m
- Demo: Creating Backups with AWS Backup 15m
- AWS Application and Server Migration Services 8m
- AWS Database Migration Service (DMS) 7m
- Database Schema Conversions 5m
- Module Summary and Exam Tips 14m
- Amazon SageMaker 7m
- Amazon Rekognition 8m
- Demo: Recognizing Images Using Amazon Rekognition 5m
- Amazon Polly 6m
- Demo: Generating Text-to-speech with Polly 5m
- Amazon Translate 4m
- Amazon Lex 3m
- Amazon Connect 2m
- Amazon Comprehend 5m
- Amazon Forecast 4m
- Amazon Kendra 4m
- Amazon Textract 3m
- Amazon Personalize 3m
- Amazon Transcribe 3m
- Amazon Fraud Detector 1m
- Module Summary and Exam Tips 7m