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.
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:
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:
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 principles of empirical process control
Understand the scope of the Product Owner role in detail
Understand the scope of the Scrum Master role at a high level
Understand the scope of the Scrum team roles and why there is no project manager
Understand how the Scrum Master measures team velocity
Understand the importance of having the product vision as an overarching goal galvanizing the entire Scrum team
Understand the relationship between the vision and the product roadmap
Understand the different estimation levels in Scrum
Understand what the Product Backlog is and what it is not
Understand Product Backlog grooming
Understand that Scrum planning is adaptive, iterative, incremental, and collaborative
Target Student:
Designed specifically for Agile project team members, product owners, project leaders and senior managers or anyone wanting to understand the Agile Framework.
The focus of this course is managing Red Hat OpenStack Platform using the unified command-line interface, managing instances, and maintaining an enterprise deployment of OpenStack. This course also teaches the management and customization of an enterprise deployment of OpenStack (overcloud) and how to manage compute nodes with Red Hat OpenStack Platform director (undercloud).
Attendees to CL-345: Red Hat OpenStack Administration II will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Prerequisites:
This course is intended for Linux system administrators, cloud administrators, cloud operators, and infrastructure architects interested in, or responsible for, maintaining a private or hybrid cloud.
Prerequisites for this course is Red Hat Certified System Administrator (RHCSA), or demonstrate equivalent experience.
Attend Red Hat OpenStack Administration I: Core Operations for Cloud Operators (CL115), or demonstrate equivalent experience
Course Outline:
Navigate the Red Hat OpenStack Platform architecture
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.
