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Course Outline
Generative AI Fundamentals on Google Cloud
- Definition of generative AI and its role in business applications
- Common use cases for text generation, chat, summarization, and search assistance
- Overview of Google Cloud generative AI services and Vertex AI's role
- Key concepts including models, prompts, context, and application workflows
Working with Vertex AI Models
- Navigating the Google Cloud environment for generative AI projects
- Accessing and testing foundation models in Vertex AI
- Comparing model capabilities for various business scenarios
- Running simple experiments and reviewing model responses
Prompting and Output Quality
- Writing clear prompts with instructions, context, and examples
- Enhancing outputs for accuracy, format, tone, and consistency
- Addressing common prompt issues like vague responses and hallucinations
- Practicing iterative prompt refinement for business tasks
Building a Simple Generative AI Application
- Designing a basic application flow for chat, summarization, or content generation use cases
- Connecting prompts, user input, and model responses into a simple workflow
- Testing application behavior in a hands-on lab
- Reviewing practical implementation considerations for real projects
Grounding, Evaluation, and Responsible Use
- How grounding and enterprise context improve response quality
- Introductory concepts of retrieval-augmented generation for knowledge-based applications
- Basic evaluation methods for prompts and outputs
- Security, data privacy, access control, and responsible AI considerations on Google Cloud
From Prototype to Next Steps
- Transitioning from a proof of concept to a reliable business solution
- Monitoring usage, reviewing results, and refining prompts over time
- Identifying realistic next steps for adoption within a team or organization
- Course wrap-up and recommendations for further learning
Requirements
- Foundational understanding of cloud computing concepts and standard business application workflows
- Some experience using the Google Cloud Console or a comparable cloud platform
- Basic programming or scripting experience
Audience
- Developers and technical professionals creating AI-enabled applications
- Cloud engineers and solution architects working on Google Cloud projects
- Product teams and technical managers investigating practical generative AI use cases
7 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1300 € + VAT*
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Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
