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Duration 7 hours
Course Outline
Generative AI Fundamentals on Google Cloud
- Defining generative AI and its role within business applications.
- Exploring common use cases such as text generation, chatbots, summarization, and search assistance.
- Reviewing Google Cloud generative AI services and the specific function of Vertex AI.
- Understanding core concepts including models, prompts, context, and application workflows.
Leveraging Vertex AI Models
- Navigating the Google Cloud ecosystem for generative AI initiatives.
- Accessing and testing foundation models via Vertex AI.
- Evaluating model capabilities across various business scenarios.
- Conducting basic experiments and analyzing model responses.
Prompt Engineering and Output Quality
- Crafting clear prompts that include instructions, context, and examples.
- Refining outputs for improved accuracy, formatting, tone, and consistency.
- Addressing common challenges like vague responses and hallucinations.
- Practicing iterative prompt refinement for specific business tasks.
Constructing a Basic Generative AI Application
- Designing a fundamental application flow for chat, summarization, or content generation.
- Integrating prompts, user inputs, and model responses into a cohesive workflow.
- Testing application behavior in a hands-on lab setting.
- Assessing practical implementation factors for real-world projects.
Grounding, Evaluation, and Responsible AI
- Understanding how grounding and enterprise context enhance response accuracy.
- Introducing retrieval-augmented generation (RAG) concepts for knowledge-based apps.
- Applying basic evaluation methods for prompts and outputs.
- Considering security, data privacy, access control, and responsible AI on Google Cloud.
Transitioning from Prototype to Production
- Advancing from proof of concept to a reliable business solution.
- Monitoring usage, reviewing outcomes, and optimizing prompts over time.
- Identifying feasible next steps for organizational adoption.
- Course conclusion and suggestions for continued learning.
Requirements
- A foundational grasp of cloud computing principles and standard business application workflows.
- Familiarity with the Google Cloud Console or comparable cloud platforms.
- Elementary programming or scripting experience.
Target Audience
- Developers and technical specialists developing AI-integrated applications.
- Cloud engineers and solution architects engaged in Google Cloud projects.
- Product teams and technical managers investigating practical generative AI use cases.
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
