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 two of a three course series to obtain a Server 2016 MCSA certification. This 5-day course provides the fundamental networking skills required to deploy and support Windows Server 2016 in most organizations. It covers IP fundamentals, remote access technologies, and more advanced content including Software Defined Networking.
The course leads directly to preparing for the(MCSA):Windows Server 2016 exam “70-741: Installation, Storage, and Compute with Windows Server 2016”. It also maps to Microsoft’s course 20741A, and is part of the Server 2016 MCSA certification.
Attendees to TN-5425: Networking with Window Server 2016 will receive TechNow approved course materials and expert instruction.
This course identifies how business analysts can elicit Agile requirements by writing user stories from use cases and personas of customer profiles. This leads to the processes of confirming the validity and usability for quality of the product development. An Agile Business Analyst has become a new recognized role within the other Agile Framework roles.
Attendees to PM-242:Defining Agile Requirements with User Stories will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 2 Days
Course Objectives: At the conclusion of this course, students will be able to:
Understand the Scrum Flow, the core components of the Scrum framework
Understand the scope of the Product Owner role in detail
Understand the scope of the Agile Business Analysis role in coordination with the Product Owner, Scrum Master and Development Team
Understand the scope of the Scrum Master role at a high level
Understand the scope of the Scrum Development Team roles
Document the interactions between the user of a system and the system itself
Dive into understanding the Agile principles for requirements using user stories in a card, conversation, and confirmation format
Target Student:
Designed specifically for Agile project team members, product owners, project leaders and business analysts or anyone wanting to understand the Agile Framework.
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: