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Here is our list of Artificial Intelligence and Machine Learning related courses.
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:
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- 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:
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- Microsoft 365 Certified Fundamentals (M-MS900)
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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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Course Overview:
This concentration was developed in conjunction with the U.S. National Security Agency (NSA) providing an invaluable tool for any systems security engineering professional. CISSP®-ISSEP is the guide for incorporating security into projects, applications, business processes, and all information systems. Security professionals are hungry for workable methodologies and best practices that can be used to integrate security into all facets of business operations. The SSE model taught in the IATF portion of the course is a guiding light in the field of information security and the incorporation of security into all information systems.
Attendees to TN-812: Information Systems Secuirty Engineering Professional (ISSEP) will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
- Systems Security Engineering
- Certification and Accreditation
- Technical Management
- U.S. Government Information Assurance Governance
Prerequisites:
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User: fsarisen
Instructor comments: Thank you Tim for all the great information! I am confident that I'll do well on the ICND exam.
User: storoy30
Instructor comments: The instructor, Tim Burkard, was very knowledgeable on the course material and skilled at explain more complex ideas.
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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.
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
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Write and execute a search query for terms and/or phrases in one or more fields of an index
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Write and execute a search query that is a Boolean combination of multiple queries and filters
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Write an asynchronous search
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Write and execute metric and bucket aggregations
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Write and execute aggregations that contain sub-aggregations
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Write and execute a query that searches across multiple clusters
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Write and execute a search that utilizes a runtime field
Developing Search Applications
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Highlight the search terms in the response of a query
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Sort the results of a query by a given set of requirements
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Implement pagination of the results of a search query
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Define and use index aliases
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Define and use a search template
Data Processing
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Define a mapping that satisfies a given set of requirements
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Define and use a custom analyzer that satisfies a given set of requirements
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Define and use multi-fields with different data types and/or analyzers
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Use the Reindex API and Update By Query API to reindex and/or update documents
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Define and use an ingest pipeline that satisfies a given set of requirements, including the use of Painless to modify documents
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Define runtime fields to retrieve custom values using Painless scripting
Cluster Management
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Diagnose shard issues and repair a cluster’s health
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Backup and restore a cluster and/or specific indices
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Configure a snapshot to be searchable
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Configure a cluster for cross-cluster search
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Implement cross-cluster replication
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