The introduction to SQL Databases training course is designed to train the learners on the fundamentals of database concepts. You will not only learn about the different types of databases, the languages and designs as well as describe important database concepts using SQL Server 2016. Anyone who is moving into a database role will benefit from taking this course.
Attendees to MS-5002: Introduction to SQL Databases will receive TechNow approved course materials and expert instruction.
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
This five-day instructor-led course provides IT professionals with the knowledge and skills required to Support and Troubleshoot Windows 11 PCs and devices in an on-premises Windows Server Active Directory domain environment.
Attendees to TN-5320: Supporting and Troubleshooting Windows 11 will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Describe the processes involved in planning and using a troubleshooting methodology for Windows 11
Troubleshoot startup issues and operating system services on a Windows 11 PC
Perform system recovery
Resolve issues related to hardware devices and device drivers
Administer Windows 11 devices
Troubleshoot issues related to network connectivity
Configure Windows 11 devices by using Group Policy
Configure and troubleshoot user settings
Configure and troubleshoot resource access
Implement remote connectivity
Deploy and troubleshoot applications
Maintain Windows 11 devices
Prerequisites:
Networking fundamentals, including Transmission Control Protocol /Internet Protocol (TCP/IP), User Datagram Protocol (UDP), and Domain Name System (DNS).
Microsoft Active Directory Domain Services (AD DS) principles.
Understanding of the Public Key Infrastructure (PKI) components.
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.
