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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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)

 

 

TechNow has been training IT, programming, and Cyber Security for over 28 years. To stay competitive and to adequately secure an enterprise, organizations need to move towards the DevOps Model. DevOps breaks down barriers between the developer and operations teams to improve collaboration and communication.

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