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Course Outline
Fundamentals of Generative AI on Google Cloud
- Definition of generative AI and its role in business applications.
- Common scenarios including text generation, chatbots, summarization, and search assistance.
- Survey of Google Cloud generative AI services and Vertex AI’s pivotal role.
- Essential concepts: models, prompts, context, and application workflows.
Working with Vertex AI Models
- Navigating the Google Cloud ecosystem for generative AI projects.
- Accessing and evaluating foundation models via Vertex AI.
- Comparing model capabilities across various business scenarios.
- Conducting basic experiments and analyzing model responses.
Prompt Engineering and Output Quality
- Crafting effective prompts with clear instructions, context, and examples.
- Enhancing outputs for accuracy, formatting, tone, and consistency.
- Addressing common challenges like vague responses and hallucinations.
- Practicing iterative prompt refinement for business tasks.
Developing a Basic Generative AI Application
- Designing application flows for chat, summarization, or content generation.
- Integrating prompts, user input, and model responses into a cohesive workflow.
- Testing application behavior through hands-on lab exercises.
- Reviewing practical implementation factors for real-world projects.
Grounding, Evaluation, and Responsible AI
- The impact of grounding and enterprise context on response quality.
- Introduction to retrieval-augmented generation for knowledge-based apps.
- Fundamental methods for evaluating prompts and outputs.
- Security, data privacy, access control, and ethical AI considerations on Google Cloud.
From Prototype to Production
- Transitioning from proof of concept to robust business solutions.
- Monitoring usage, reviewing results, and refining prompts over time.
- Identifying actionable next steps for organizational adoption.
- Course summary and recommendations for continued learning.
Requirements
- Fundamental knowledge of cloud computing principles and standard business application processes.
- Some familiarity with the Google Cloud Console or comparable cloud platforms.
- Basic proficiency in programming or scripting.
Target Audience
- Developers and technical specialists creating AI-powered applications.
- Cloud engineers and solution architects engaged in Google Cloud initiatives.
- Product teams and technical leaders exploring practical applications of generative AI.
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)
