PM-221: Agile Overview for Executives and Leaders

 

Course Overview: Clear and detailed discussion on the following course content:

  • What is the Agile Adaptive  Methodology versus the Predictive (waterfall) Methodology?
  • The Agile Value Proposition, by explanation of the Agile Manifesto and Agile Principles.
  • What is the Scrum Framework by explanation of Scrum Roles, Ceremonies and Artifacts?
  • What are the artifacts of Product Planning, Release Planning and Sprint Planning?
  • What are the Agile impacts to corporate team structures and stakeholder alignment?
  • What are Agile myths and why an Agile transformation will fail?
  • What are Agile (hybrid) tailoring considerations?


Attendees to PM-221: Agile Overview for Executives and Leaderswill receive TechNow approved course materials and expert instruction.

 

Dates/Locations:

No Events

Duration: 1 Days

Course Objectives: Are you and executive or leader in your organization and interested in learning about Agile principles? This course details the Agile framework that uses an adaptive life cycle, specifically related to using the Scrum approach.

Upon successful completion of this course, students will be able to:

  • Understand an overview of the main aspects that leadership must know to implement strategic opportunities with Agile principles for product quality and on-time product delivery
  • Participants will dive into understanding the strategic and tactical elements of implementing Agile and Scrum into their organization
  • Receive details on how to understand the organizational impact that the Agile transformation could have on the different aspects of your current business processes

Target Student:

  • Designed specifically for leaders and senior managers or anyone wanting to understand the high-level basics of the Agile Framework

 

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DP-201: Designing an Azure Data Solution

 

Course Overview:

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:
      • AZ-900: Microsoft Azure Fundamentals
      • DP-200: Implementing an Azure Data Solution

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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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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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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)