Here are our Microsoft Programming courses:
Course Overview:
This course provides students with the knowledge and skills they need to develop C# applications for the Microsoft .NET Platform. The course focuses on C# program structure, language syntax & implementation details. C# was created to be the programming language best suited for writing enterprise applications for .NET. C# combines the high productivity of Microsoft Visual Basic with the raw power of C++. It is a simple, object-oriented and type-safe programming language that is based on the C & C++ family of languages.
Attendees to MS-2124: Programming with C# will receive TechNow approved course materials and expert instruction.
Dates/Locations:
Duration: 5 Days
Course Objectives:
- Overview of the Microsoft .NET Platform Overview of C#
- Using Value-Type Variables
- Statements & Exceptions
- Methods & Parameters
- Arrays
- Essentials of Object-Oriented Programming
- Using Reference-Type Variables
- Creating & Destroying Objects
- Inheritance in C#
- Aggregation, Namespaces & Advanced Scope
- Operators & Events Properties & Indexes
- Attributes
Prerequisites:
- Experience with programming in C, C++, Visual Basic, Java or another programming language
Comments
Latest comments from students
User: jdmccol
Instructor comments: Excelent instructor, covered topic in depth and modified course objectives to meet student own needs.
Facilities comments: Was OK, I am sure the Technow facilities when competed will be better.
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Course Overview:
Dates/Locations:
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: