TechNow has been training IT, programming, and Cyber Security for over 28 years. Artificial Intelligence skills are being developed across many enterprises.
Here is our list of Artificial Intelligence and Machine Learning related courses.
Course Overview:
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.
Date/Locations:
No Events
Course Duration: 2 days
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TechNow is a mobile Pearson VUE Authorized Testing Center, and we can provide the testing right after your certification prep class; thus ensuring a higher pass rate on the certification exams.
Technow is also a mobile Prometric Testing Center.
We can deliver the on-site training and test all in the same week.
For more information, call us today at 800-324-2294
Course Overview:
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.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
- Plan and implement an IPv4 network
- Implement Dynamic Host Configuration Protocol (DHCP)
- Implement IPv6
- Implement Domain Name System (DNS)
- Implement and manage IP address management (IPAM)
- Plan for remote access
- Implement DirectAccess
- Implement virtual private networks (VPNs)
- Implement networking for branch offices
- Configure advanced networking features
- Implement Software Defined Networking
Prerequisites:
- A basic understanding of networking fundamentals
- Experience working with Windows Server 2008 or Windows Server 2012
- Experience working in a Windows Server infrastructure enterprise environment
- Knowledge of the Open Systems Interconnection (OSI) model
- Understanding of core networking topologies and architectures such as local area networks (LANs), wide area networks (WANs) and wireless networking
- Basic knowledge of the TCP/IP protocol stack, addressing and name resolution
- Experience with and knowledge of Hyper-V and virtualization
- Hands-on experience working with the Windows client operating systems such as Windows 8.1 or Windows 10
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Course Description:
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 Outline:
01. Introduction to Artificial Intelligence
02. Everyday AI Tools and Use Cases
03. Building Blocks of AI
04. Prompt Crafting AI-Driven Interactions
05. AI Ethics and Responsible AI
Dates/Locations:
No Events