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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.
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)
