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Course Outline
Generative AI Fundamentals on Google Cloud
- Understanding what generative AI is and its place in business applications
- Common use cases including text generation, chat, summarization, and search assistance
- An overview of Google Cloud generative AI services and the role of Vertex AI
- Key concepts such as 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 within Vertex AI
- Comparing model capabilities for various business scenarios
- Conducting simple experiments and reviewing model responses
Prompting and Output Quality
- Crafting 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
- Integrating prompts, user input, and model responses into a simple workflow
- Testing application behavior in a hands-on lab
- Reviewing practical implementation considerations for real-world projects
Grounding, Evaluation, and Responsible Use
- Understanding why grounding and enterprise context improve response quality
- Introduction to retrieval-augmented generation concepts 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 more reliable business solution
- Monitoring usage, reviewing results, and improving prompts over time
- Identifying realistic next steps for adoption within a team or organization
- Course wrap-up and recommendations for further learning
Requirements
- A fundamental understanding of cloud computing concepts and standard business application workflows
- Some prior experience using the Google Cloud Console or a comparable cloud platform
- Basic proficiency in programming or scripting
Audience
- Developers and technical professionals creating AI-enabled applications
- Cloud engineers and solution architects engaged in Google Cloud projects
- Product teams and technical managers exploring practical generative AI use cases
7 Hours
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)
