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.
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:
This course will be fast paced with in-depth and live demonstrations.
Date/Locations:
No Events
Duration: 1 day
Course Objectives:
- UEFI, SecureBoot, TPM, and Enterprise BitLocker
- Windows VPN in the Enterprise
- Windows Advanced Firewall
- Utilizing Windows WMI
- Administering Windows with Powershell
- Using Autopsy for Forensics
Prerequisites:
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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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