Generative AI Leader
In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.
2 d
Fundamental
GCPSPARKSAICHANGEMGMT
Change Management for an AI Mindset on Google Cloud Training
This course provides leaders and change agents with the structured frameworks and psychological insights necessary to drive a successful organizational shift toward Agentic AI. It moves beyond technical deployment to focus on diagnosing organizational readiness, mitigating adoption friction, and building a sustainable enablement ecosystem.
Learners will explore the psychological "friction forces" that stall AI transformation, such as identity threats and trust deficits, and learn to replace them with an empowerment narrative that emphasizes human augmentation over replacement. Through a series of practical modules and real-world scenarios, participants will learn to map stakeholder archetypes, design behavioral activation sequences, and establish a formal change governance loop to map behavioral indicators to tangible business value.
What you will learn
- Analyze the psychological and operational friction forces of AI transformation to diagnose organizational readiness.
- Apply a structured change management framework to shift employees from awareness to behavioral advocacy.
- Design an AI literacy and upskilling ecosystem that addresses workforce capability gaps.
- Evaluate change program effectiveness by mapping behavioral leading indicators to business value and establishing a formal change governance loop.
Prerequisites
- No prior change management experience required.
- This course is a direct companion to the Organizing for Success on Google Cloud: Building Your AI Center of Excellence Spark.
Target audience
- Primary audience. Transformation and enablement leads: change management professionals and CoE specialists responsible for the methodology and high-level execution of AI readiness., Primary audience. Strategic talent partners: HR and L&D leaders overseeing reskilling pathways and supporting employees through AI-driven workforce transitions., Secondary audience. Narrative and communication leaders: marketing and comms heads responsible for crafting the organizational AI story and managing stakeholder interest., Secondary audience. Operational people managers: leaders at the front lines who must manage team anxiety, ensure psychological safety, and integrate AI into daily workflows.
Training Program
6 modules to master the fundamentals
Objectives
- Analyze the unique psychological and operational friction forces of AI transformation to diagnose organizational readiness.
Topics covered
- →The future of work: The AI landscape
- →AI adoption friction forces
- →Assessing your organization's AI readiness
Activities
1x discussion to identify friction forces
1x activity to diagnose organizational readiness
Objectives
- Apply a structured framework to construct a change management plan that moves employees from awareness to behavioral advocacy.
Topics covered
- →Stakeholder mapping
- →The AI narrative: Crafting a communication strategy
- →Behavioral activation: Moving from awareness to advocacy
Activities
1x activity to map stakeholders
1x demo Gemini prompt
1x behavioral activation discussion
Objectives
- Design an AI literacy and upskilling ecosystem that addresses workforce capability gaps.
Topics covered
- →AI literacy
- →The components of AI enablement
- →Managing your workforce through the transition
Activities
1x workforce management discussion
Objectives
- Evaluate change program effectiveness by mapping behavioral leading indicators to business value and establishing a formal change governance loop.
Topics covered
- →What should you measure?
- →Establishing feedback loops
- →The virtuous cycle
Activities
1x value mapping discussion
1x Change Management framework demo prompt
Topics covered
- →Review of core concepts
- →Quiz
Activities
4x multiple choice quiz questions
Topics covered
- →AI change readiness diagnostic
- →"Change management framework generator" prompt
Activities
Resources for participants to use in their own time.
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Upcoming sessions
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We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.
Register for a custom dateQuality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
Teaching Methods Used
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Group Discussion — Open exchange among peers and the instructor on a specific topic.
- Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Frequently Asked Questions
It is designed for leaders, managers and change agents responsible for driving AI adoption within their organization. No technical background is required.
There are no technical prerequisites. The course suits anyone leading or supporting an AI transformation who wants a structured change management approach.
You will learn to diagnose organizational readiness, apply a structured change framework to move employees from awareness to advocacy, design an AI literacy ecosystem and measure change with behavioral indicators.
Yes. The module on AI and the changing organization explores psychological friction forces such as identity threats and trust deficits, and replaces them with a human-augmentation narrative.
The course lasts 3 hours and is delivered in an instructor-led format, alternating frameworks, real-world scenarios and group discussion.
Yes. This is an official Google Cloud Sparks course delivered by SFEIR Institute, a certified Google Cloud Training Partner.
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote
Cloud Sparks Program