This course is suitable for program managers and technical sales, with a general IT background. These students want to learn about our offers, see how components are implemented, and ask questions about products and features. This course is primarily lectures and demonstrations. This course will help prepare someone for introductory cloud activities.
Job role: Administrator, AI Engineer, Data Analyst, Data Engineer, Data Scientist, Database Administrator, Developer, Security Engineer
There are no prerequisites for taking this course. Technical IT experience is not required, however, some general IT knowledge or experience would be beneficial
After completing this course, students will be able to:
• Understand general cloud computing concepts
• Understand core services available with cloud technology
• Understand security, privacy, compliance, and trust with cloud technology
• Understand pricing and support models available with cloud technology
Module 1 – Introduction
· Getting started with the cloud technology
Module 2 – Microsoft Azure Fundamentals
· Microsoft Azure Management Tools
· Virtual Machines in Microsoft Azure
· Web Apps and Cloud Services
· Creating and Configuring Virtual Networks
· Cloud Storage
· Microsoft Azure Databases
· Creating and Managing Azure AD
Module 3 – Amazon Web (Aws) Services Business Essentials
· Leveraging AWS for competitive advantages
· Cloud economics
· Security and compliance
· Migrating to the cloud
Module 4 – Amazon Web (Aws) Services Technical Essentials
· Basic Services of AWS: EC2, VPC, S3, EBS
· Security, Identity and Access Administration on AWS: IAM
· Data Bases on AWS: RDS, DynamoDB
· AWS Administration Tools: Auto Scaling, CloudWatch, Elastic Load Balancing, Trusted Advisor
Module 5 – Google Cloud Platform Fundamentals
· Google Cloud Platform Services
· Examples of Using Google Cloud Platform
· Interacting with Google Cloud Platform
· Getting Started with Projects
· Google Compute Engine
· Google Container Engine
· Google App Engine.
· Google Cloud Datastore
· Google Cloud Storage
· Google Cloud SQL
· Google BigQuery
· Support and Resources
Click on the following link to see the current Course Schedule
Our minimum class-size is 3 for this course.
If there are no scheduled dates for this course, it can be customized to suit the time and skill needs of clients and it can be held online, at a rented location or at your premises.
Click on the following link below to arrange for a custom course: Enquire about a course date
Cloud computing is a method of providing shared computing resources, including applications, computing, storage, networking, development, and deployment platforms as well as business processes. Cloud computing makes computing resources easier to use by providing standardization and automation. louds come in different versions, depending on your needs. There are two primary deployment models of cloud: public and private. Most organizations will use a combination of private computing resources (data centers and private clouds) and public services, where some of the services exist in these environments interact with each other — which is what we call a hybrid cloud environment.
In addition, many organizations use a variety of public cloud services to support different developers and business units – called a multi-cloud environment. Multi-cloud has grown in popularity because developers want access to the platform of their choice, and businesses want the flexibility to move between vendors. Now that you have a context for the types of cloud environments, it’s important
to understand the common elements required to make clouds functional. The figure illustrates the related elements that come together to create clouds. On the bottom of the diagram is a set of resource pools that feed a set of cloud delivery services. On the top of the diagram are the common service elements needed to support these delivery models.
Additional Information and FAQs
CERTFICATE OF COMPLETION: Participants will receive a certificate of completion at the end of a course. This is not an official certification for the product and/or software. Our courses do indicate the appropriate certification exam(s) that the participant can sit. Data Vision Systems does not provide certification or deliver the certification exams. Participants are responsible for arranging and paying for the certification exams on the appropriate certification body.
CANCELLATION POLICY: There is never a fee for cancelling seven business days before a class for any reason. Data Vision Systems reserves the right to cancel any course due to insufficient registration or other extenuating circumstances. Participants will be advised prior to doing so.
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