Course Overview: Clear and detailed discussion on the following course content:

  • What is the Agile Adaptive  Methodology versus the Predictive (waterfall) Methodology?
  • The Agile Value Proposition, by explanation of the Agile Manifesto and Agile Principles.
  • What is the Scrum Framework by explanation of Scrum Roles, Ceremonies and Artifacts?
  • What are the artifacts of Product Planning, Release Planning and Sprint Planning?
  • What are the Agile impacts to corporate team structures and stakeholder alignment?
  • What are Agile myths and why an Agile transformation will fail?
  • What are Agile (hybrid) tailoring considerations?


Attendees to PM-221: Agile Overview for Executives and Leaderswill receive TechNow approved course materials and expert instruction.

 

Dates/Locations:

No Events

Duration: 1 Days

Course Objectives: Are you and executive or leader in your organization and interested in learning about Agile principles? This course details the Agile framework that uses an adaptive life cycle, specifically related to using the Scrum approach.

Upon successful completion of this course, students will be able to:

  • Understand an overview of the main aspects that leadership must know to implement strategic opportunities with Agile principles for product quality and on-time product delivery
  • Participants will dive into understanding the strategic and tactical elements of implementing Agile and Scrum into their organization
  • Receive details on how to understand the organizational impact that the Agile transformation could have on the different aspects of your current business processes

Target Student:

  • Designed specifically for leaders and senior managers or anyone wanting to understand the high-level basics of the Agile Framework

 

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Course Overview:

CT-225: Network+ is a five-day course that teaches students the fundamentals of networking. Through hands-on training, students learn the vendor-independent networking skills & concepts that affect all aspects of networking, such as installing & configuring the TCP/IP client. The course also helps to prepare students for three popular certification examinations: CompTIA Network+, Microsoft Networking Essentials, and Novell Networking Technologies.

Attendees to CT-225: Network+ will receive TechNow approved course materials and expert instruction.

Dates/Locations:

Date/Time Event
08/03/2026 - 08/07/2026
08:00 -16:00
CT-225: Network+
TechNow, Inc, San Antonio TX
11/02/2026 - 11/06/2026
08:00 -16:00
CT-225: Network+
TechNow, Inc, San Antonio TX

Duration 5 days

Course Objectives:

  • Identify basic network theory concepts and major network communications methods
  • Describe bounded network media
  • Describe unbounded network media
  • Identify the major types of network implementations
  • Identify TCP/IP addressing and data delivery methods
  • Analyze routing and switching technologies
  • Identify the components of a TCP/IP implementation
  • Analyze network security
  • Implement network security
  • Identify the components of a WAN implementation
  • Identify the components used in cloud computing and virtualization
  • Identify the components of a remote network implementation
  • Manage networks
  • Troubleshoot network issues

Prerequisites:

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User: hanbri9

Instructor comments: Great instructor.

Facilities comments: BEST HOTEL!!!!!!! AMAZING LOCATION, GOOD FOOD, NICE SPACE. The location of the hotel is what is almost the best about it. Driving up hwy 10 in the morning is absolutely awful.



 

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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

 

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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