Course Overview: 

This course details how a well-educated Product Owner and a knowledgeable Scrum Master can work together to deliver a successful product with Agile principles using SCRUM approach.  Designed specifically for students who want to learn the mechanics of an Agile / Scrum team being led by a Product Owner and a Scrum Master.

This course offers a firm grasp of Agile principles as they relate to new product development.  If you need to learn what is required to lead or participate in an Agile effort using the SCRUM approach within your organization, this course covers the Agile adaptive life cycle framework and everything in between.

Attendees to PM-232: Product Owner and Scrum Master Roles in AGILE using SCRUM will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 2 Days

Course Objectives: At the conclusion of this course, students will be able to:

  • Understand the Scrum Flow, the core components of the Scrum framework
  • Understand the principles of empirical process control
  • Understand the scope of the Product Owner role in detail
  • Understand the scope of the Scrum Master role at a high level
  • Understand the scope of the Scrum team roles and why there is no project manager
  • Understand how the Scrum Master measures team velocity
  • Understand the importance of having the product vision as an overarching goal galvanizing the entire Scrum team
  • Understand the relationship between the vision and the product roadmap
  • Understand the different estimation levels in Scrum
  • Understand what the Product Backlog is and what it is not
  • Understand Product Backlog grooming
  • Understand that Scrum planning is adaptive, iterative, incremental, and collaborative

 

Target Student:

  • Designed specifically for Agile project team members, product owners, project leaders and senior managers or anyone wanting to understand the Agile Framework.

 

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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

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)

Prerequisites:

  • None

 

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Course Overview:

Through hands-on labs, you will learn to automate system administration tasks on managed hosts with Ansible, learn how to write Ansible playbooks to standardize task execution, and manage encryption for Ansible with Ansible Vault. This course will also teach you how to deploy and use Red Hat® Ansible Tower to centrally manage existing Ansible projects, playbooks, and roles; perform basic maintenance and administration of the Ansible Tower installation; and configure users and teams and use them to control access to systems, projects, and other resources through role-based access controls. You will learn to use Ansible Tower’s visual dashboard to launch, control, and monitor Ansible jobs; use the Ansible Tower application programming interface (API) to launch jobs from existing templates; automatically schedule Ansible jobs; and dynamically update host inventories.

Course Objectives:

  • Install and troubleshoot Ansible on central nodes and managed hosts
  • Automate administration tasks with Ansible playbooks and ad hoc commands
  • Write effective Ansible playbooks
  • Protect sensitive data used by tasks with Ansible Vault.
  • Install and configure Ansible Tower for enterprise Ansible management
  • Use Ansible Tower to control access to inventories and machine credentials by users and teams
  • Create job templates in Ansible Tower to standardize playbook execution.
  • Centrally launch playbooks and monitor and review job results with Ansible Tower

 

Course Outline:

  • Introduce Ansible
  • Deploy Ansible
  • Implement playbooks
  • Manage variables and inclusions
  • Implement task control
  • Implement Jinja2 templates
  • Implement roles
  • Configure complex playbooks
  • Implement Ansible Vault
  • Troubleshoot Ansible
  • Install Ansible Tower and describe Ansible Tower’s architecture
  • Create users and teams for role-based access control
  • Create and manage inventories and credentials
  • Manage projects for provisioning with Ansible Tower
  • Construct advanced job workflows
  • Update inventories dynamically and compare inventory members
  • Maintenance and administration of Ansible Tower

 
Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

  • Become a Red Hat Certified System Administrator, or demonstrate equivalent experience

Target Audience:

This course is designed for Linux system administrators, cloud administrators, and network administrators needing to automate configuration management, application deployment, and intraservice orchestration at an enterprise scale.