Microsoft

The Microsoft platform is arguably the largest component in any IT architecture, and rate of change in this arena makes training in the Microsoft platform a must. TechNow can and does teach the entire gamut of Microsoft technologies, from Servers to application development.

Here is a list of all of our Microsoft courses:

AZ-400: Microsoft Azure DevOps Solutions

Course Overview:

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
Recommend and design system feedback mechanisms
Optimize feedback mechanisms

Prerequisites :

- - AZ-900: Microsoft Azure Fundamentals
  - 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.

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TN-413: Certified AI Program Manager (C|AIPM)

Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.

TN-412: Artificial Intelligence Essentials (AI|E)

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

TN-245: Telecommunications Fundamentals

Course Overview:

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)
Multimedia Subsystem (IMS)