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Private / Corporate Training
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Course Description
This IBM Cloud Training course will prepare you for the IBM Foundations of IBM Cloud V1 Certification exam. You will review many concepts covered on the exam, including Cloud concepts, architecting the IBM Cloud for IaaS, and PaaS, and SaaS solutions, as well as IBM Cloud Applications including Platform-as-a-Service and Software-as-a-Service, middleware, Watson Services, and modernization of applications.
Objectives
To prepare students to take this IBM Cloud Training certification exam, this class will review:
- Cloud computing and the IBM Cloud
- IBM Cloud Infrastructure-as-a-Service
- IBM Cloud Platform-as-a-Service
- IBM Cloud Software-as-a-Service
- Big Data
- Designing for the IBM Cloud
- IBM Cloud solutions
Audience
Prerequisites
Participants should have:
- An understanding of Cloud concepts
- Knowledge about defining IT Cloud architecture needs
- A working knowledge of IBM Cloud Service Management architecture
- A working knowledge of IBM Cloud architecture principles and patterns
- Working knowledge of designing a comprehensive IBM Cloud solution
- Working knowledge of how to implement IBM Cloud Infrastructure concepts
- Working knowledge of the various types of clouds and -as a service- offerings
- Working knowledge of the cloud infrastructure technologies: systems, storage, security, networking, virtualization technologies, etc. (functional and non-functional requirements)
Content
DevOps Principles:
- Describe the deployment options on IBM Cloud
- Explain the difference between SaaS, PaaS and IaaS
- Understand resiliency and availability concepts
- Describe backup and archive concepts
- Explain how to apply different Garage Architectures
- Articulate the advantages of both a single and multi-cloud approach
IBM Cloud Operations
- Describe the security services available in IBM Cloud
- Explain how Dev-Ops is implemented in IBM Cloud Public and IBM Cloud Private
- Understand networking concepts within IBM Cloud
- Explain monitoring capabilities within IBM Cloud
- Understand storage options within IBM Cloud
- Describe the compute platforms within IBM Cloud
- Understand the Cloud Managed Service offerings available within IBM Cloud
Big Data Design
- Understand Watson Artificial Intelligence/Machine Learning (AI/ML)
- Describe the use of Data Catalogs in IBM Cloud and IBM Cloud Private for Data
- Explain the Analytics options available within IBM Cloud
Application Design
- Describe microservice architecture
- Explain the development tools available in IBM Cloud
- Articulate how traditional and serverless architectures differ
- Describe how to design API Economy within IBM Cloud
- Explain the Enterprise Design Thinking (EDT) approach
- Explain the Garage Methodology within application design
- Explain how to migrate workloads to IBM Cloud
IBM Cloud Solutions
- Describe how the IBM Cloud for Skytap Solutons (ICSS) can be used for development
- Understand the different integration options on IBM Cloud
- Explain how Internet of Things (IoT) can be leveraged within IBM Cloud
- Explain how Mobile can be leveraged within IBM Cloud
- Describe the value of Blockchain
- Explain how VMWare can be leveraged within IBM Cloud
- Describe how Weather APIs can be used inside IBM Cloud