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 comprehensive course provides you with an in-depth understanding of the current telecom landscape and how voice is migrating from a circuit- to a packet-switched network. You will learn how to evaluate existing technology options to determine which will best meet your organization's data and telephony requirements, from mature digital transport/access services to emerging voice and data services using voice over packet technologies.
Attendees to TN-245: Telecommunications Fundamentals will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 days
Course Objectives:
The Current State of the Telecom Industry
Telecom Service Providers
Digitalizing Voice
Communication Mediums and Multiplexing
Carrier Access: Customer-to-Carrier Connections
Broadband Access
Enterprise Networks
Carrier Transport Services
Data Communications and Packet-Switched Networks
Migrating Voice from Circuit-to-Packet-Switched Networks
Carrier Data Services
Ethernet Services
Remote Access Virtual Private Networks (VPNs)
Video Technology and Services
Current Mobile Wireless Services
Fixed Mobile Convergence (FMC)
Worldwide Interoperability for Microwave Access (WiMax)
Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure 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 AZ-204:Developing Solutions for Microsoft Azure will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 5 days
Course Outline:
Creating Azure App Service Web Apps
Implement Azure functions
Develop solutions that use blob storage
Develop solutions that use Cosmos DB storage
Implement laaS solutions
Implement user authentication and authorization
Implement secure cloud solutions
Implement API Management
Develop App Service Logic Apps
Develop event-based solutions
Develop message-based solutions
Monitor and optimize Azure solutions
Integrate caching and content delivery within solutions
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:
TechNow provides a wide variety of skills based computer training and testing. With our Headquarters in San Antonio, TX, we have provided services including computer training around the United States to many individuals and corporations.
Our products and services are designed for those who are seeking to expand their knowledge base, whether with one class or a series of classes to gain certification in specific areas of training.
Our talented and knowledgeable instructors enjoy teaching and sharing their skills; allowing you to expand and learn essential computer skills.
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