In this cloud computing training, you will evaluate and assess the business and technical benefits of cloud computing. Additionally, you will gain the foundational knowledge to analyze cloud applications for use in your organization and learn how cloud computing can supply efficient solutions to technical, business, and administrative challenges.
This introduction to cloud computing course includes 12 hours of ILT (Instructor-Led Training) or VILT (Virtual Instructor-Led Training) presented by a real-world cloud computing expert instructor.
Cloud Computing Training Delivery Methods
Cloud Computing Training Course Information
In this Introduction to Cloud Computing Training course, you will learn how to:
- Exploit the benefits of the modern cloud services such as data warehouses and analytics.
- Explore the services provided by the leading cloud providers.
- Apply tips and best practices when adopting and migrating to the cloud.
- Leverage continued support with after-course one-on-one instructor coaching and computing sandbox.
Before trying this course, attendees should have:
- Working knowledge of internet technologies.
- A background in cloud computing is not needed.
Cloud Computing Training Outline
Defining cloud computing
- Services provided by the Cloud
- Differentiating types of clouds: public, private, and hybrid
Delivering services from the cloud
- Categorizing service types
- Comparing vendor cloud products: Amazon, Google, Microsoft, and others
Key drivers of cloud computing solutions
- Instantaneous provisioning of computing resources
- Tapping into unlimited storage capacity
- Cost-effective pay-as-you-use billing models
Evaluating barriers to cloud computing
- Handling sensitive data
- Aspects of cloud security
- Assessing governance solutions
- Virtualization benefits and costs
- Creating VMs (Virtual Machines) in the Cloud
Managing Networking in the Cloud
- Cloud regions and zones
- Securing networks in the Cloud
- Accessing the Cloud – console access and command-line
- REST services
- Defining APIs for Cloud development and migration
- Provisioning servers on demand
- Hosting websites on Virtual Machines
- Tools and support for management and monitoring
Hosting and Migrating Containers in the Cloud
- Packaging applications as containers
- Hosting containers using Platform as a Service (PaaS)
Managing Data Growth
- Big Data – Volume, Velocity and Variety of data
- Why NoSQL – alternatives to traditional databases
- Why host data in the Cloud?
- Choosing the right Cloud data platforms
Using Cloud NoSQL
- Managing object storage
- Hosting static websites using object storage
- Other NoSQL platforms – document databases, columnar storage, and graph databases
- Denormalizing relational data for data analytics performance
Deploying Relational Databases in the Cloud
- Why host Databases using PaaS?
- Deployment options for databases for High Availability and resilience
- Autoscaling databases in the Cloud to meet demand
Hosting Data Warehouses in the Cloud
- Enabling data analytics and machine learning using data warehouses
- Exploring data warehouse hosting options
- Deploying a data warehouse
Managing Cloud costs
- Using Cloud Cost calculators
- Payment options for Cloud
- Managing risks of Cloud overspend
Architecting an Effective Cloud Solution
- Applying business goals and constraints to choosing Cloud platforms
- Using TOGAF best practices for Cloud deployment
- Deploying Cloud Landing Zones
- Design for failure to ensure High Availability
Securing the Cloud
- The Shared Responsibility model for Cloud Security
- Tools and techniques for securing data and applications in the Cloud
- Security standards compliance
DevOps in the Cloud
- Infrastructure as Code
- Applying Agile principles to Cloud operations
- Using DevOps tools in the Cloud
Cloud Adoption Strategies
- Managing Cloud adoption risks
- Best practices for Cloud adoption