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Course Overview:
Windows Forensic Analysis is a hands-on course that covers digital forensics of the Microsoft Windows operating system. The collection and analysis of data tracking user based activity that can be used for internal purposes or legal litigation. TechNow has the student analyze many data images for various Windows operating systems, as current as Windows 8.1, Windows 10 in an environment that uses many Cloud technologies such as Office365, Skydrive, Sharepoint, Exchange Online, and Windows Phone.
This is not death by power point. The course is aligned with digital forensic investigators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of Windows Forensic Analysis.
Attendees to TN-909: Windows Forensic Analysis will receive TechNow approved course materials and expert instruction.
Date/Locations:
Duration: 5 days
Course Objectives:
Course Prerequisites:
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Course Overview:
This course details how a well-educated Product Owner and a knowledgeable Scrum Master can work together to deliver a successful product with Agile principles using SCRUM approach. Designed specifically for students who want to learn the mechanics of an Agile / Scrum team being led by a Product Owner and a Scrum Master.
This course offers a firm grasp of Agile principles as they relate to new product development. If you need to learn what is required to lead or participate in an Agile effort using the SCRUM approach within your organization, this course covers the Agile adaptive life cycle framework and everything in between.
Attendees to PM-232: Product Owner and Scrum Master Roles in AGILE using SCRUM will receive TechNow approved course materials and expert instruction.
Dates/Locations:
Duration: 2 Days
Course Objectives: At the conclusion of this course, students will be able to:
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Course Overview:
In this course, administrators of medium-to-large network sites will learn to use advanced routing to provide scalability for Cisco routers that are connected to LANs and WANs. Networking professionals will learn to dramatically increase the number of routers and sites using these techniques instead of redesigning the network when additional sites or wiring configurations are added. Hands-on labs ensure you thoroughly understand how to implement advanced routing within your network.
Attendees to N-405: ROUTE-Implementing Cisco IP Routing will receive TechNow approved course materials and expert instruction.
Dates/Locations:
Duration: 5 days
Course Objectives:
Prerequisites:
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Instructor comments: Awesome
Facilities comments: Awesome
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
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