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Course Outline
Generative AI Fundamentals on Google Cloud
- What generative AI is and where it fits in business applications
- Common use cases for text generation, chat, summarization, and search assistance
- 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 in Vertex AI
- Comparing model capabilities for different business scenarios
- Running simple experiments and reviewing model responses
Prompting and Output Quality
- Writing clear prompts with instructions, context, and examples
- Improving outputs for accuracy, format, tone, and consistency
- Handling common prompt issues such as vague responses and hallucinations
- Practicing iterative prompt refinement for business tasks
Building a Simple Generative AI Application
- Designing a basic application flow for a chat, summarization, or content generation use case
- 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
- Why grounding and enterprise context improve response quality
- Introductory 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
- Moving 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
- Basic understanding of cloud computing concepts and common business application workflows
- Some experience using the Google Cloud Console or a similar cloud platform
- Basic programming or scripting experience
Audience
- Developers and technical professionals building AI-enabled applications
- Cloud engineers and solution architects working on Google Cloud projects
- Product teams and technical managers exploring practical generative AI use cases
7 Hours
Testimonials (3)
Excellect knowledge level of the trainer
Pawel Dykowski - LKQ Polska Sp. z o. o.
Course - Microsoft 365 Copilot Chat for Word, Excel, PowerPoint, and Outlook
1. Structured prompts and related technique to have it like this 2. working with practical examples - prompts already well prepared 3. Learned how to create an AI agent
Cosmina Naznean - Curs Public
Course - Boost Your Productivity with Microsoft Copilot 365
Trainers can answer all questions and accept any queries
