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Course Outline
Fundamentals of Generative AI on Google Cloud
- Defining generative AI and its role within business applications.
- Exploring common use cases including text generation, chatbots, summarization, and search assistance.
- Overview of Google Cloud's generative AI services and the function of Vertex AI.
- Key concepts such as models, prompts, context windows, and application workflows.
Working with Vertex AI Models
- Navigating the Google Cloud environment for generative AI initiatives.
- Accessing and testing foundation models via Vertex AI.
- Comparing model capabilities across various business scenarios.
- Conducting simple experiments and analyzing model responses.
Prompt Engineering and Output Quality
- Crafting clear prompts that include instructions, context, and examples.
- Enhancing outputs for accuracy, formatting, tone, and consistency.
- Addressing common prompt issues such as ambiguous responses and hallucinations.
- Practicing iterative refinement of prompts for specific business tasks.
Developing a Basic Generative AI Application
- Designing fundamental application flows for chat, summarization, or content generation.
- Linking 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 importance of grounding and enterprise context in improving response quality.
- Introduction to Retrieval-Augmented Generation (RAG) concepts for knowledge-based apps.
- Fundamental methods for evaluating prompts and outputs.
- Considerations for security, data privacy, access control, and responsible AI on Google Cloud.
From Prototype to Next Steps
- Transitioning from proof of concept to robust business solutions.
- Monitoring usage, reviewing results, and continuously improving prompts over time.
- Identifying realistic next steps for organizational adoption.
- Course wrap-up and recommendations for further learning.
Requirements
- Foundational knowledge of cloud computing principles and standard business application workflows.
- Prior experience navigating the Google Cloud Console or comparable cloud platforms.
- Basic proficiency in programming or scripting.
Target Audience
- Developers and technical professionals creating AI-enhanced applications.
- Cloud engineers and solution architects involved in Google Cloud projects.
- Product teams and technical managers investigating practical generative AI use cases.
7 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1600 € + VAT*
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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)
