Course Overview:

This course covers the key elements required to understand and apply business analysis techniques in an IT-centric business environment.  It identifies key best practices to deal with the challenges of eliciting, analyzing, and specifying project requirements.  The key material in each section of this course is reinforced with a student driven lab scenario allowing each participant hands-on practice with the key business analysis concepts that are introduced in this course. At the end of the focused sections on business analysis techniques, the students will engage in a student-driven business analysis case study blending all the learned techniques into a finished product. This course is approximately 60% lecture and  40% lab time.

Attendees to TN-512: Essential Business Analysis Course will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Overview of Business Analysis Workshop
  • Eliciting Project Workshop
  • Case Study
  • Analyzing Requirements and Writing Case Studies
  • Case Study

Prerequisites:

  • None

 

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Course Overview:

This course engages students by providing in-depth knowledge of the most prominent and powerful attack vectors and an environment to perform these attacks in numerous hands-on scenarios. This course goes far beyond simple scanning for low-hanging fruit, and shows penetration testers how to model the abilities of an advanced attacker to find significant flaws in a target environment and demonstrate the business risk associated with these flaws.

Attendees to TN-919:Penetration Tester course will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

  • Advanced Hash Manipulation
  • Command Shell vs. Terminal Access
  • Enumerating Users
  • Exploitation Fundamentals
  • Injection Attacks
  • Legal Issues
  • Metasploit
  • Moving Files with Exploits
  • Obtaining and Passing Password Representations
  • Overview of Passwords
  • Penetration Testing Foundations
  • Penetration Testing Process
  • Penetration Testing via the Command Line
  • Profiling the Target
  • Reconnaissance
  • Scanning for Targets
  • Using a Proxy to Attack a Web Application
  • Vulnerability Scanning
  • Wireless Crypto and Client Attacks
  • Wireless Fundamentals

Course Prerequisites:

  • GSEC or equivalent experience
  • UNIX, Windows, networking, and security experience
  • This is a hands-on skill course requiring comfort with command line interaction and network communications

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User: kdwagoner

Instructor comments: Very knowledgeable. Kept class focused and on task

Facilities comments: Good


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Course Overview:

In this course, the students will implement various data platform technologies into solutions that are in-line with business and technical requirements, including on-premises, cloud, and hybrid data scenarios incorporating both relational and NoSQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.

The students will also explore how to implement data security, including authentication, authorization, data policies, and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing, and streaming data solutions.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

Attendees to DP-200: Implementing an Azure Data Solution will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 4 days

Course Outline:

  • Azure for the Data Engineer
  • Working with Data Storage
  • Enabling Team Based Data Science with Azure Databricks
  • Building Globally Distributed Databases with Cosmos DB
  • Working with Relational Data Stores in the Cloud
  • Performing Real-Time Analytics with Stream Analytics
  • Orchestrating Data Movement with Azure Data Factory
  • Securing Azure Data Platforms
  • Monitoring and Troubleshooting Data Storage and Processing

Prerequisites :

      • In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
      • AZ-900: Microsoft Azure Fundamentals

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