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.
This course gives students the knowledge and skills to configure Active Directory Domain Services in a distributed environment, implement Group Policies, perform backup and restore, and monitor and troubleshoot Active Directory related issues. This course includes material contained in Microsoft’s 6424, 6425, 6426 and is an aid to preparation for the 70-640 exam.
Attendees to TN-5125: Configuring and Troubleshooting Windows Server 2008 Active Directory Domain Services will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Installation
Administration
Users
Groups
Computers
Group Policy Infrastructure
Group Policy Settings
Domains and Forests
Prerequisites:
Basic understanding of networking
Intermediate understanding of network operating system
This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.
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 AZ-400: Microsoft Azure DevOps Solutions will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 5 days
Course Outline:
Planning for DevOps
Getting started with Source Control
Scaling Git for enterprise DevOps
Consolidating Artifacts & Designing a Dependency Management Strategy
Implementing Continuous Integration with Azure Pipelines
Managing Application Config and Secrets
Managing Code Quality and Security Policies
Implementing a Container Build Strategy
Manage Artifact versioning, security & compliance
Design a Release Strategy
Set up a Release Management Workflow
Implement an appropriate deployment pattern
Implement process for routing system feedback to development teams
Implement a mobile DevOps strategy
Infrastructure and Configuration Azure Tools
Azure Deployment Models and Services
Create and Manage Kubernetes Service Infrastructure
Third Party Infrastructure as Code Tools available with Azure
Implement Compliance and Security in your Infrastructure
Fundamental knowledge about Azure, version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software.
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:
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