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ARTIFICIAL INTELLIGENCE, Deep Learning, Machine Learning, hyper converged, hdfs, edge computing, atlas, gaussdb, ceph distributed storage, sds

NewCondition 1400.00
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OBJECTIVES

On completion of this program, the participants will be able to:

Describe the current situation and challenges of the computing industry;
Understand the industry's countermeasures.
Distinguish technologies between general-purpose and heterogeneous computing;
Describe the working principles of acceleration components and common computing platforms.
Have general knowledge of the basic concepts, application scenarios, software and hardware architectures, and key technologies of the intelligent computing solution;
Describe the delivery process of typical solutions.
Understand basic methods and common tools for system optimization;
Have a good command of parameter optimization methods in typical application scenarios.

PREREQUISITES

Have good understanding of IT technology and network knowledge
Have mastered the content involved in HCIP-Intelligent Computing V1.0

WHO SHOULD ATTEND

Have good understanding of IT technology and network knowledge
Have mastered the content involved in HCIP-Intelligent Computing V1.0

TOPICS

Insight into computing industry ecosystem
1. Insight into Computing Industry Ecosystem
2. General-Purpose and Heterogeneous Computing Technologies
3. Accelerator Components and Computing Platforms
4. Solution Cases in Diversified Scenarios-Web
5. Solution Cases in Diversified Scenarios-SDS
6. Solution Cases in Diversified Scenarios-Big Data
7. Software Application Migration Solution Practice
8. Deep Learning Application Solution Practice
9. Hyper-Converged Application Solution-Private Cloud
10. Hyper-Converged Application Solution-Database
11. Introduction to System Optimization Solutions
12. System Optimization Solution Practice

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