AI-Driven Business Transformation: Essential Guide for Decision Makers
Duration
3 Days (6 hours per day)
Level
Basic Level
Design and Tailor this course
As per your team needs
This course is designed to empower business leaders and organizational decision-makers with a deep understanding of generative AI and its potential to revolutionize business operations. Participants will delve into the distinctions between generative AI and traditional AI/ML technologies, exploring real-world applications that can drive innovation and efficiency.
The course provides a comprehensive overview of the tools and services available on Google Cloud, including Google Workspace, Vertex AI Model Garden, and Agent Builder, enabling leaders to identify the most relevant AI solutions for their organizations. In addition to technical insights, the course emphasizes the importance of responsible AI practices, guiding participants on how to implement AI in a manner that aligns with ethical standards and Google’s AI principles. By the end of this course, attendees will be well-equipped to lead AI-driven transformation within their organizations, fostering a culture of innovation and strategic growth.
Outcomes:
Participants will leave the course with:
- A clear understanding of Generative AI and its differentiation from other AI technologies
- Insight into the potential business impact and applications of Generative AI
- Knowledge of responsible AI practices and Google’s AI principles
- The ability to identify, evaluate, and prioritize Generative AI use cases within their organizations
- Business users and leaders
- Organizational decision makers
- C-Level Executives
- Strategic Planners
- Professionals interested in AI-driven business transformation
- Module 1: Introduction to AI and Generative AI
-
-
- Overview of AI and Machine Learning (ML)
- Demo: AI vs. ML with Real-world Examples
- Defining Generative AI: Concepts and Capabilities
- Demo: Showcasing Generative Models and Tools
- Key Differences Between Generative AI and Traditional AI/ML Technologies
-
- Module 2: Exploring Real-World Applications
-
- Case Studies: How Generative AI is Revolutionizing Various Industries
- Group Activity: Analyze case studies and discuss the business impact
- Identifying Business Problems and Opportunities for Generative AI
- Interactive Discussion: Brainstorming Potential Applications in Your Organization
- Hands-On Exercise: Outline potential AI projects, including objectives, expected outcomes, and implementation strategies
- Addressing common misconceptions and queries.
- Module 3: Google Cloud Overview
-
-
- Introduction to Google Cloud Platform (GCP)
- Key Features and Services Relevant to AI
- Demo: Navigate through the GCP console
- Comparing GCP with other cloud platforms w.r.t. AI capabilities
-
- Module 4: Deep Dive into Google Workspace
-
-
- Enhancing Collaboration with Google Workspace Tools
- Leveraging AI Features in Google Workspace for Business Efficiency
- Demo: Using Google Docs, Sheets, and Drive with AI for productivity
- Hands-On Lab: Using AI tools to automate tasks, analyze data, and enhance productivity
-
- Module 5: Vertex AI Model Garden and Agent Builder
-
- Introduction to Vertex AI Model Garden: Managing and Training AI Models
- Demo: Managing and training models using Vertex AI
- Building and Deploying AI Solutions with Agent Builder
- Demo: Build a basic AI solution using Agent Builder
- Hands-On Lab: develop and deploy an AI agent for a specific use case
- Module 6: Ethical Considerations and Responsible AI
-
-
- Understanding Google’s AI Principles
- Implementing AI in a Responsible and Ethical Manner
- Case Study: Real-world ethical issues in AI and potential solutions
- Addressing Common Ethical Challenges in AI Implementation
- Group Discussion: Developing guidelines for responsible AI practices in participants’ organizations
-
- Module 7: Strategic AI Implementation
-
-
- Framework for Evaluating and Prioritizing AI Use Cases
- Developing an AI-Driven Transformation Strategy
- Workshop: Crafting a Personalized AI Implementation Plan for Your Organization
- Peer Review: Share and refine AI implementation plans with feedback
-
- Module 8: Conclusion and Q&A
-
- Recap of Key Takeaways
- Open Discussion: Addressing Participant Questions and Concerns
- Next Steps for Leading AI-Driven Transformation and Further Learning
- No prior AI knowledge required
- Suitable for professionals with varying levels of AI expertise
