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Course Outline
Generative AI Fundamentals on Google Cloud
- Understanding generative AI and its role in business applications
- Common use cases including text generation, chat, summarization, and search enhancement
- An overview of Google Cloud generative AI services and the function 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 across various business scenarios
- Conducting simple experiments and analyzing model responses
Prompting and Output Quality
- Crafting clear prompts that include instructions, context, and examples
- Refining outputs for improved accuracy, format, tone, and consistency
- Addressing common prompt challenges like vague responses and hallucinations
- Practicing iterative prompt refinement for specific business tasks
Building a Simple Generative AI Application
- Designing a basic application flow for chat, summarization, or content generation
- Integrating prompts, user input, and model responses into a cohesive workflow
- Testing application behavior in a hands-on lab setting
- Reviewing practical implementation considerations for real-world projects
Grounding, Evaluation, and Responsible Use
- Understanding how grounding and enterprise context enhance response quality
- Introduction to retrieval-augmented generation concepts for knowledge-based applications
- Basic methods for evaluating prompts and outputs
- Security, data privacy, access control, and responsible AI practices on Google Cloud
From Prototype to Next Steps
- Transitioning from a proof of concept to a robust business solution
- Monitoring usage, reviewing outcomes, and refining prompts over time
- Identifying realistic next steps for adoption within teams or organizations
- Course conclusion and recommendations for continued learning
Requirements
- Foundational knowledge of cloud computing concepts and typical business application workflows
- Familiarity with the Google Cloud Console or comparable cloud platforms
- Basic proficiency in programming or scripting
Audience
- Developers and technical specialists engaged in building AI-powered applications
- Cloud engineers and solution architects working on Google Cloud initiatives
- Product teams and technical managers investigating practical generative AI use cases
7 Hours
Testimonials (2)
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
