Course Outline
Generative AI Fundamentals on Google Cloud
- An overview of generative AI and its applications in business operations
- Common use cases for text generation, chat functions, summarization, and search assistance
- An introduction to Google Cloud's generative AI services, with a focus on the role of Vertex AI
- Key concepts including models, prompts, context, and application workflows for government
Working with Vertex AI Models
- Navigating the Google Cloud environment for generative AI projects for government
- Accessing and testing foundational models in Vertex AI for government applications
- Comparing model capabilities to address different business scenarios for government
- Conducting simple experiments and reviewing model responses for accuracy and relevance
Prompting and Output Quality
- Writing clear prompts with specific instructions, context, and examples for government tasks
- Enhancing outputs to ensure accuracy, appropriate format, tone, and consistency for government communications
- Addressing common prompt issues such as vague responses and hallucinations in a government context
- Practicing iterative prompt refinement to optimize business tasks for government
Building a Simple Generative AI Application
- Designing a basic application flow for chat, summarization, or content generation use cases for government
- Integrating prompts, user input, and model responses into a simple workflow for government applications
- Testing application behavior in a hands-on lab environment for government
- Reviewing practical implementation considerations for real-world projects for government
Grounding, Evaluation, and Responsible Use
- The importance of grounding and enterprise context in improving response quality for government
- Introduction to retrieval-augmented generation concepts for knowledge-based applications for government
- Basic evaluation methods for prompts and outputs in a government setting
- Security, data privacy, access control, and responsible AI considerations on Google Cloud for government
From Prototype to Next Steps
- Transitioning from a proof of concept to a more reliable business solution for government
- Monitoring usage, reviewing results, and iteratively improving prompts over time for government applications
- Identifying realistic next steps for adoption within a team or organization for government
- Course wrap-up and recommendations for further learning for government professionals
Requirements
- A foundational understanding of cloud computing concepts and typical business application workflows for government.
- Prior experience using the Google Cloud Console or a comparable cloud platform.
- Basic proficiency in programming or scripting.
Audience
- Developers and technical professionals engaged in building AI-enabled applications for government use.
- Cloud engineers and solution architects involved in Google Cloud projects for government agencies.
- Product teams and technical managers investigating practical generative AI use cases for government operations.
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
I really appreciated the examples, they were relevant to almost any industry. Kevin's calm demeanour and approachable manner really helped. His broad knowledge and suggestions about how to generate prompts was deeply appreciated.
