Google Empower Decision Makers with Generative AI (GCP100GENAIDEMAKER)
- Code training GO8322
- Duur 1 dag
Andere trainingsmethoden
Ga naar:
Methode
Deze training is in de volgende formats beschikbaar:
-
Klassikale training
Klassikaal leren
-
Op locatie klant
Op locatie klant
-
Virtueel leren
Virtueel leren
Vraag deze training aan in een andere lesvorm.
Trainingsbeschrijving
Naar bovenThis course is designed for business users, business leaders, and decision makers who want to understand the transformative potential of generative AI and its impact on their organizations.
You'll gain a comprehensive understanding of this technology, learn how it can be leveraged to drive innovation and efficiency, and explore the range of generative AI services available on Google Cloud. By the end of this course, you'll be equipped to make informed decisions about implementing AI solutions.
Updated Sept. 2026
Virtueel en Klassikaal™
Virtueel en Klassikaal™ is een eenvoudig leerconcept en biedt een flexibele oplossing voor het volgen van een klassikale training. Met Virtueel en Klassikaal™ kunt u zelf beslissen of u een klassikale training virtueel (vanuit huis of kantoor )of fysiek op locatie wilt volgen. De keuze is aan u! Cursisten die virtueel deelnemen aan de training ontvangen voor aanvang van de training alle benodigde informatie om de training te kunnen volgen.
Data
Naar bovenDoelgroep
Naar boven- Business users, Business leaders, Decision makers, Customers
Trainingsdoelstellingen
Naar bovenAfter this course participants should be able to:
- Define generative AI as a subset of AI.
- Discuss AI's potential impact on organizations.
- Provide examples of generative AI applications.
- Define the different personas in your organization for generative AI.
- Explore different services for the different personas in your organization.
- Understand common business challenges across different industries.
- Explore use cases for generative AI across different industries.
- Identify Gen AI use cases for your organization.
- Evaluate and prioritize generative AI use cases.
- Learn how Google approaches Responsible AI.
- Define the pillars of Responsible AI at Google.
- Understand the relationship between data privacy and generative AI.
- Understand the importance of prompt design for generative AI.
- Write effective prompts for interacting with LLMs.
- Use prompt design strategies to improve output from LLMs.
Inhoud training
Naar boven1- Understanding Generative AI
- Generative AI vs. AI/ML
- Gen AI Use Cases
- Business Applications of Gen AI
2- Generative AI in your Organization
- Personas and products
- Business audience: Workspace
- Consumer AI products vs. Enterprise AI
- General Audience: Vertex AI Studio
- AI Practitioners: Model Garden
- Power Users: Vertex AI Agent Builder
3- Industry Use Cases
- Common business challenges
- Use cases across different industries
4- Generative AI Case Study
- Use case identification
- Scoping considerations
- Use case prioritization and evaluation
- Activity: Brainstorm Gen AI use cases for your organization
5- Responsible AI
- Data Privacy at Google
- AI and responsibility
- Google's AI principles
- Responsible AI best practices
6- Prompt Design
- What is prompt design and why is it important?
- Prompt content types
- Prompt design strategies
- Iterating prompts for improvement
- Lab: Introduction to Prompt Design
7- Improving Prompts
- Prompt design vs. prompt engineering
- Zero-shot and few-shot prompting
- Chain of thought prompting
- Overview of additional techniques
- Lab: Improving Your Prompts
- Optional Lab: Writing Prompts for Gemini Pro Vision
Voorkennis
Naar bovenBasic knowledge of Customer Relationship Management (CRM) concepts and business processes is recommended to effectively understand customer engagement, sales workflows, and data-driven decision making.
Examen
Naar bovenNone
