DP-201: Designing an Azure Data Solution

 

Course Overview:

In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, NoSQL, or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. The students will also explore how to design data security, including data access, data policies, and standards. They will also design Azure data solutions, which includes the optimization, availability, 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-201: Designing an Azure Data Solution will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 3 days

Course Outline:

  • Data Platform Architecture Considerations
  • Azure Batch Processing Reference Architectures
  • Azure Real-Time Reference Architectures
  • Data Platform Security Design Considerations
  • Designing for Resiliency and Scale
  • Design for Efficiency and Operations

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
      • DP-200: Implementing an Azure Data Solution

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TN-345: Python for Penetration Testers

 

Course Overview:

 

This Python for Penetration Testing course is designed to give you the skills you need for maintaining or developing Python Penetration Testing tools oriented towards offensive operations.  We have a suite of courses and certifications that help  understand a problem, this course prepares the student to rapidly develop prototype code to attack or defend against it.

The course concludes with a Capture the Flag event that will test both your ability to apply your new tools and coding skills in a Python Penetration Testing challenge.

This course is not intended to be an Advanced Python course, but to exemplify penetration techniques utilizing Python.  The course covers Threading, Sockets, OOP, and third party modules that facilitate the offensive operator’s objective.

This course utilizes the “Violent Python” text book.

Attendees to TN-345: Python for Penetration Testers Class will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 3 Days

Course Objectives:

  • Python Lanuage Refress
  • Network Sockets
  • Exception Handling
  • Hashes and Cracking Passwords
  • Threading
    • Concepts and Python Implementation
    • Queues and Synchronization
    • urlparse and httplib to probe URLs
    • Crack a password protected zip file
  • Port Scanner
    • Threading a Port Scanner
  • nmap integration
  • Deploying shellcode
  • Mechanize, BeautifulSoup
    • HTTP Form Password Guessing
    • HTTP Proxies (Burp Suite)
    • HTTP Cookies Session Hijacking
      • CookieMonster
  • Images and Metadata
  • Justniffer
  • SQL Injection
    • sqlmap
    • SQLBrute
  • Antivirus and IDS evasion
    • PyInstaller
    • Metasploit
  • Scapy
    • Deploy shellcode
    • DNS Cache Poisoning
    • Packety Violence

Prerequisites:

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AZ-400: Microsoft Azure DevOps Solutions

 

Course Overview:

This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.

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 AZ-400: Microsoft Azure DevOps Solutions will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Outline:

  • Planning for DevOps
  • Getting started with Source Control
  • Scaling Git for enterprise DevOps
  • Consolidating Artifacts & Designing a Dependency Management Strategy
  • Implementing Continuous Integration with Azure Pipelines
  • Managing Application Config and Secrets
  • Managing Code Quality and Security Policies
  • Implementing a Container Build Strategy
  • Manage Artifact versioning, security & compliance
  • Design a Release Strategy
  • Set up a Release Management Workflow
  • Implement an appropriate deployment pattern
  • Implement process for routing system feedback to development teams
  • Implement a mobile DevOps strategy
  • Infrastructure and Configuration Azure Tools
  • Azure Deployment Models and Services
  • Create and Manage Kubernetes Service Infrastructure
  • Third Party Infrastructure as Code Tools available with Azure
  • Implement Compliance and Security in your Infrastructure
  • Recommend and design system feedback mechanisms
  • Optimize feedback mechanisms

Prerequisites :

      • AZ-900: Microsoft Azure Fundamentals
      • Fundamental knowledge about Azure, version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software.

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Unix/Linux

Over twenty years experience in the area of Solaris, Linux, and Unix ensures that you are benefiting from a very mature and successful Solaris, Linux, and Unix training program.  TechNow offers the full suite of Solaris, Linux, and Unix courses utilizing real hardware.  This is not virtualized Solaris on Intel processors, or remote connection to a distant system.  The student learns to deal with real hardware taking advantage of Sparc T series processors. Solaris 10 and Solaris 11 is taught hands-on with data center skills as the focus.  We also offer Solaris 10 migration courses to Solaris 10 or Solaris 11.

The following is a list of our Unix/Linux training courses:

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TN-412: Artificial Intelligence Essentials (AI|E)

Course Description:

Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use

The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries

Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.

By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.

Course Outline: 

01. Introduction to Artificial Intelligence

02. Everyday AI Tools and Use Cases

03. Building Blocks of AI

04. Prompt Crafting AI-Driven Interactions

05. AI Ethics and Responsible AI

Dates/Locations:

No Events