GAIDMGOGoogleGO-GAIDM1.0<ul> <li>Define generative AI and distinguish between generative AI and other types of AI.</li><li>Explain the impact and potential application of generative AI</li><li>Understand the pillars of Responsible AI and how it relates to generative AI.</li><li>Define the potential personas affected by generative AI and how they can leverage this new technology</li><li>Survey applications of generative AI across different horizontals through a case study.</li></ul><p>There are no prerequisites for this course. The workshop aims to provide both introductory and advanced insights into Gen AI, making it suitable for individuals with varying levels of AI expertise.</p><h4>Module 1 - Understanding Generative AI</h4><p> <strong>Topics:</strong> </p> <ul> <li>Gen AI versus AI/ML</li><li>Gen AI Applications</li><li>Business Impact of Gen AI</li></ul><p><strong>Objectives:</strong> </p> <ul> <li>Define generative AI as a subset of AI.</li><li>Discuss the potential impact of AI on organizations.</li><li>Provide examples of generative AI applications.</li></ul><h4>Module 2 - Generative AI in your Organization</h4><p> <strong>Topics:</strong> </p> <ul> <li>Personas and products</li><li>Business audience: Google Workspace</li><li>Consumer AI products versus enterprise AI</li><li>AI practitioners: Vertex AI Model Garden</li><li>Developers: Vertex AI Studio and Vertex AI Agent Builder</li></ul><p><strong>Objectives:</strong> </p> <ul> <li>Define the different personas in your organization for generative AI.</li><li>Explore different services for the different personas in your organization.</li></ul><h4>Module 3 - Responsible AI</h4><p> <strong>Topics:</strong> </p> <ul> <li>AI and responsibility</li><li>Google&rsquo;s AI principles</li><li>Responsible AI practices</li><li>Data privacy at Google</li><li>Customers&rsquo; responsibilities</li></ul><p><strong>Objectives:</strong> </p> <ul> <li>How Google approaches Responsible AI</li><li>The pillars of Responsible AI at Google</li><li>Data privacy and generative AI</li><li>Customer&rsquo;s responsibilities using Gen AI</li></ul><h4>Module 4 - Generative AI Case Study</h4><p> <strong>Topics:</strong> </p> <ul> <li>Use case identification and scoping considerations</li><li>Use case prioritization evaluation</li><li>Generative AI project steps</li><li>Case study discussion</li></ul><p><strong>Objectives:</strong> </p> <ul> <li>Identify possible generative AI use cases</li><li>Evaluate and discuss generative AI use cases</li></ul>- Define generative AI and distinguish between generative AI and other types of AI. - Explain the impact and potential application of generative AI - Understand the pillars of Responsible AI and how it relates to generative AI. - Define the potential personas affected by generative AI and how they can leverage this new technology - Survey applications of generative AI across different horizontals through a case study.There are no prerequisites for this course. The workshop aims to provide both introductory and advanced insights into Gen AI, making it suitable for individuals with varying levels of AI expertise.Module 1 - Understanding Generative AI Topics: - Gen AI versus AI/ML - Gen AI Applications - Business Impact of Gen AI Objectives: - Define generative AI as a subset of AI. - Discuss the potential impact of AI on organizations. - Provide examples of generative AI applications. Module 2 - Generative AI in your Organization Topics: - Personas and products - Business audience: Google Workspace - Consumer AI products versus enterprise AI - AI practitioners: Vertex AI Model Garden - Developers: Vertex AI Studio and Vertex AI Agent Builder Objectives: - Define the different personas in your organization for generative AI. - Explore different services for the different personas in your organization. Module 3 - Responsible AI Topics: - AI and responsibility - Google’s AI principles - Responsible AI practices - Data privacy at Google - Customers’ responsibilities Objectives: - How Google approaches Responsible AI - The pillars of Responsible AI at Google - Data privacy and generative AI - Customer’s responsibilities using Gen AI Module 4 - Generative AI Case Study Topics: - Use case identification and scoping considerations - Use case prioritization evaluation - Generative AI project steps - Case study discussion Objectives: - Identify possible generative AI use cases - Evaluate and discuss generative AI use cases3 hours2500.00660.00790.00350.00485.00350.00290.00