Artificial Intelligence

TechNow has been training IT, programming, and Cyber Security for over 28 years. Artificial Intelligence skills are being developed across many enterprises.

Here is our list of Artificial Intelligence and Machine Learning related courses.

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TN-5320: Microsoft Modern Desktop Administrator

 

 

 

 

Course Overview:

Learn how a Modern Desktop Administrators deploys, configures, secures, manage, and monitors devices and client applications in an enterprise environment. This is a hands-on, instructor led Bootcamp focusing on the real world responsibilities of a Modern Desktop Administrator and covering the information needed for the certification exams, which are administered while attending.

If you’ve passed Exam 70-698: Configuring Windows 10 (retired March 31, 2019) you only need to take MD-101 to earn this new certification.

This certification is one of the workload administrator certification required for the Microsoft 365 Certified: Enterprise Administrator Expert certification.

Dates/Locations:

No Events

Duration: 10 Days

Course Content:

    • Module 01. Installing Windows
    • Module 02. Updating Windows
    • Module 03. Post-Installation Configuration and Personalization
    • Module 04. Configuring Peripherals and Drivers
    • Module 05. Configuring Networks
    • Module 06. Configuring Storage
    • Module 07. Managing Apps in Windows 10
    • Module 08. Configuring Authorization & Authentication
    • Module 09. Configuring Data Access and Usage
    • Module 10. Configuring Advanced Management Tools
    • Module 11. Supporting the Windows 10 Environment
    • Module 12. Troubleshooting the Windows OS
    • Module 13. Troubleshooting Files & Applications
    • Module 14. Troubleshooting Hardware and Drivers
    • Module 15. Planning an Operating System Deployment Strategy
    • Module 16. Implementing Windows 10
    • Module 17. Managing Updates for Windows 10
    • Module 18. Device Enrollment
    • Module 19. Configuring Profiles
    • Module 20. Application Management
    • Module 21. Managing Authentication in Azure AD
    • Module 22. Managing Devices and Device Policies
    • Module 23. Managing Security

 

Prerequisites:

      • Microsoft 365 Certified Fundamentals (M-MS900)

Target Audience:

IT professionals who perform installation, configuration, general local management and maintenance of Windows 10 core services. Candidates may also be familiar with enterprise scenarios and cloud-integrated services.

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TN-430: Elasticsearch Engineer (ELK)

Course Overview:

Getting started with the Elastic Stack (ELK), optimizing search performance and building efficient clusters. Ingest and process data, writing complex search requests and response utilization, scaling of clusters up or down, managing indices in large clusters and multiple clusters, management of clusters and troubleshooting recommendations.

Attendees to TN-430: Elasticsearch Engineer (ELK) will receive TechNow approved course materials, expert instruction, and prepare you to take ELK exam.

 

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Dates/Locations:

No Events

Duration: 5 Days

Course Outline:

Data Management

  • Define an index that satisfies a given set of requirements
  • Define and use an index template for a given pattern that satisfies a given set of requirements
  • Define and use a dynamic template that satisfies a given set of requirements
  • Define an Index Lifecycle Management policy for a time-series index
  • Define an index template that creates a new data stream

Searching Data

  • Write and execute a search query for terms and/or phrases in one or more fields of an index
  • Write and execute a search query that is a Boolean combination of multiple queries and filters
  • Write an asynchronous search
  • Write and execute metric and bucket aggregations
  • Write and execute aggregations that contain sub-aggregations
  • Write and execute a query that searches across multiple clusters
  • Write and execute a search that utilizes a runtime field

Developing Search Applications

  • Highlight the search terms in the response of a query
  • Sort the results of a query by a given set of requirements
  • Implement pagination of the results of a search query
  • Define and use index aliases
  • Define and use a search template

Data Processing

  • Define a mapping that satisfies a given set of requirements
  • Define and use a custom analyzer that satisfies a given set of requirements
  • Define and use multi-fields with different data types and/or analyzers
  • Use the Reindex API and Update By Query API to reindex and/or update documents
  • Define and use an ingest pipeline that satisfies a given set of requirements, including the use of Painless to modify documents
  •   Define runtime fields to retrieve custom values using Painless scripting

Cluster Management

  • Diagnose shard issues and repair a cluster’s health
  • Backup and restore a cluster and/or specific indices
  • Configure a snapshot to be searchable
  • Configure a cluster for cross-cluster search
  • Implement cross-cluster replication

 

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