Introduction to Vertex AI Studio course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This beginner-friendly course provides hands-on experience with Google Cloud's Vertex AI Studio, introducing core concepts of generative AI and prompt engineering. Through a series of structured modules, learners will explore model interaction, application development, and responsible AI practices. The course spans approximately 4–6 weeks with 3–5 hours of study per week, combining theory, practical demonstrations, and a final project to build a foundational understanding of cloud-based generative AI tools.

Module 1: Foundations of Generative AI

Estimated time: 10 hours

Understand how generative models work
Explore large language model architecture basics
Learn real-world use cases across industries
Identify ethical considerations in AI usage

Module 2: Prompt Engineering and Model Interaction

Estimated time: 10 hours

Learn to craft effective prompts
Adjust temperature and token settings
Test and refine AI-generated outputs
Evaluate response quality and consistency

Module 3: Building Applications with AI Studio

Estimated time: 12 hours

Use the Google Cloud AI Studio interface
Integrate generative AI APIs into applications
Prototype simple AI-powered tools
Deploy basic generative workflows

Module 4: Model Parameters and Fine-Tuning Concepts

Estimated time: 8 hours

Explore model configuration options
Understand the role of hyperparameters
Learn the basics of fine-tuning LLMs
Compare pre-trained vs. customized models

Module 5: Responsible AI and Best Practices

Estimated time: 6 hours

Understand bias and safety mechanisms
Apply responsible AI guidelines
Evaluate content moderation strategies
Design ethical AI applications

Module 6: Final Project