Cloud.U courses will give you in-depth knowledge of the cloud industry—the players, the components that serve as building blocks, the architectures, the services, and how they all tie together.
Cloud Industry 101 (1 Chapters)
Insight and education on the cloud industry and fundamentals. Topics include the overall cloud industry, cloud definitions and the value for enterprises moving to the cloud
Cloud Consumption Models (1 Chapters)
An overview of cloud consumption models and consumes in the cloud. Covered will be the various XaaS models including IaaS, SaaS, and PaaS; Virtualization, containers and big data.
Cloud Services Overview 101 (1 Chapters)
This module will provide information on the cloud services of networking and security. Topics covered include VPCs, Data security, Identity and Access management and cloud security and the shared security model
Security and Risk (1 Chapters)
Addressing security and risk concepts that apply both in the cloud as well as in on-premise environments. Topics covered include: security frameworks and models; security risk, governance and policy and the correlation between data assets and security.
Cloud Orchestration (1 Chapters)
Cloud Migration Principles (1 Chapters)
This course helps the learner to better understand cloud migration principles including the business reasons to migrate. Covered will be cloud migration essentials and the 6 R's of cloud migration
Data Foundations (1 Chapters)
This course aims to establish a strong foundation, and working knowledge of the fundamentals of data, including a primer on data and its mechanics. Topics covered include data pipeline information and some data terminology that is commonly used by Cloud providers
Databases and Data Stores (1 Chapters)
Covering critical introductory material on databases including categories of databases, database management systems and the role that memory and storage play within databases
Data Processing and Analytics (1 Chapters)
This training will address the evolution of data analytics and then dive into three primary categories of data analytics: Data warehousing, Big Data processing with Hadoop and Spark and finally Artificial Intelligence basics
Workload Placement (1 Chapters)
This training describes the key areas an enterprise must consider before they move to the cloud and helps describe the differences between public and private cloud computing from a workload perspective
A discussion around software progression from monolithic software architecture to cloud native software creation using microservices. Also a discussion around DevOpps and its applicability to cloud environments
This course provides insights on the enterprise considerations to get the most out of their cloud services. Covered will be: cloud trends driving decision making, conversation framework for driving customer conversations and Intel's role in helping customers navigate the complexity of cloud decisions
Introduction to Software Defined Networking (1 Chapters)
This course provides a comprehensive overview of Software Defined Networking (SDN). Covered in this course will be benefits and key components of SDN as well as the role Intel products play in helping to enable SDN in a cloud environment.
Software Defined Storage (1 Chapters)
This course is intended to give the viewer a good introductory perspective on Software defined storage including insights into the SDS benefits and challenges as well as a high level summary of SDS architecture.