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-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

DP-200: Implementing an Azure Data Solution

Course Overview:

In this course, the students will implement various data platform technologies into solutions that are in-line with business and technical requirements, including on-premises, cloud, and hybrid data scenarios incorporating both relational and NoSQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.

The students will also explore how to implement data security, including authentication, authorization, data policies, and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization 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-200: Implementing an Azure Data Solution will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 4 days

Course Outline:

Azure for the Data Engineer
Working with Data Storage
Enabling Team Based Data Science with Azure Databricks
Building Globally Distributed Databases with Cosmos DB
Working with Relational Data Stores in the Cloud
Performing Real-Time Analytics with Stream Analytics
Orchestrating Data Movement with Azure Data Factory
Securing Azure Data Platforms
Monitoring and Troubleshooting Data Storage and Processing

Prerequisites :

- - In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
  - AZ-900: Microsoft Azure Fundamentals

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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: