Instruction Mode: Online
Professor: N/A
Resource(s): | Type | Description | Required | Textbook | AWS Certified Solutions Architect Associate All-in-One Exam Guide, Joyjeet Banerjee, McGraw-Hill/Osborne © 2021, Second Edition, ISBN ISBN 9781260470185 |
Applicable student group(s): Students in the online class in the Continuing and Professional Studies.
Course Details: Module 1: Introduction to Cloud Computing
Why Cloud
Benefits of Cloud computing
Cloud computing paradigm
Cloud Architecture
Deployment models
Cloud service models
Cloud constraints
Module 2: Overview of Public Cloud Services
History
Comparative capabilities
Pricing
Migration
Multi-cloud strategy
Hybrid cloud
Module 3: AWS infrastructure
Regions, availability zones, local zones and outposts
Tools for managing AWS resources
Cloud Watch
Cloud Trail
Cost Explorer
(Quiz #1; 10%)
Module 4: Identity and Access Management
IAM terminologies
Root account, users, groups, and roles
Types of policies
Security token services
Amazon Resource Names (ARN’s)
Module 5: Amazon Storage
Data dimensions
Block, Object and file storage
EBS (Elastic Block Storage) and S3 (Simple Storage Solution)
Storage classes
Access control
(Quiz #2; 10%)
Module 6: Amazon Compute
Compute options
Amazon EC2 (Elastic Compute Cloud)
Categories of compute instances
Amazon Machine Images (AMI)
EC2 Storage
EC2 Auto scaling, accessing EC2 instances, monitoring and placement groups
Module 7: Databases in Amazon
Relational vs non-relational databases
OLTP vs OLAP
Scaling
DB Authentication and monitoring
DB selection criteria
(Quiz #3; 10%)
Module 8: Networking Services
Virtual private cloud: CIDR blocks, subnets, route tables
VPS Peering
Content Delivery Network: AWS CloudFront
AWS Web Application Firewall (WAF)
(Assignment #1; 20%)
Module 9: Security
Security Threats
Shared responsibility model
Data integrity and accountability
Data encryption
Availability and Auto-scaling
Infrastructure automation
Strategic security
Module 10: Big Data and the Cloud
Hadoop to the cloud
Data analytics tool set
Data lake requirements
Amazon Kinesis and Lambda services
Amazon Elastic MapReduce (EMR)
Big Data tools and AWS
(Assignment #2; 25%)
Module 11: Machine Learning and the Cloud
Data analytic patterns
Machine Learning infrastructure in AWS
Sagemaker
ML Algorithms
Module 12: Well-Architected Framework
Reliability
Performance
Security
Cost optimization
Operational excellence
Auto-scaling
(Assignment #3; 25%)