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Intel
Increasingly Cloud Services are critical to driving many industries. The cloud utilizes foundational technologies such as higher-performing computing, larger-more capable storage, faster interconnect, robust security and networking, and artificial...
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Increasingly Cloud Services are critical to driving many industries. The cloud utilizes foundational technologies such as higher-performing computing, larger-more capable storage, faster interconnect, robust security and networking, and artificial intelligence. This trend towards cloudification requires both technical and business focused channel partner leaders to understand how the cloud is used to move, store and process information at a rapid pace. Gain a strong foundation to enhance your cloud learning abilities. Develop a broad understanding of cloud technologies that are impacted or driven by Intel to help you better position your cloud offerings to your customers including an overview about the cloud industry, types of cloud services, cloud usage models, cloud networking and artificial intelligence in the cloud.
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What's inside

Three courses

Cloud Essentials & Usage

(0 hours)
The Cloud Essentials portion of this course will assist the learner in identifying all the critical aspects of Cloud Architecture. At the end of the course they will demonstrate good comprehension of cloud technology and be able to define key XaaS offerings. In addition, key cloud consumption models will be addressed.

Cloud Technologies & Services

(0 hours)
The Cloud Technology course introduces learners to key cloud products and technologies, including compute, storage, and networking. It also covers concepts like containers, media, and telemetry. The Cloud Services module dives into cloud services, including VPC, networking, and security. Students will understand cloud supply lines and key players in the cloud channel.

Data Platform, Cloud Networking and AI in the Cloud

(0 hours)
The Data Platform course establishes a foundation in data fundamentals, including data mechanics, databases, and data processing. It covers data management elements, including relational taxonomy of data, data lifecycle, and fundamentals of databases and data processing and analysis. The course also covers the relevance of AI with respect to data in the cloud.

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