Create Generative AI Apps on Google Cloud
Learn to build powerful generative AI applications using Google Cloud in this 4-hour intermediate course.
Learn to build powerful generative AI applications using Google Cloud in this 4-hour intermediate course.
This course teaches developers how to create generative AI applications on Google Cloud. It covers generative AI application types, prompt design techniques, and retrieval augmented generation (RAG) for building powerful applications using large language models (LLMs). Students learn about production-ready architectures for generative AI applications and gain hands-on experience building an LLM and RAG-based chat application.
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What you'll learn
Describe various types of generative AI applications and their use cases.
Design effective prompt templates to improve model response quality.
Understand and implement retrieval augmented generation (RAG) techniques.
Explore the multimodal capabilities of Google's Gemini model.
Build a production-ready architecture for generative AI applications on Google Cloud.
Develop an LLM and RAG-based chat application using Google Cloud tools.
Skills you'll gain
This course includes:
4 Minutes PreRecorded video
3 quizzes, 2 hands-on labs
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course provides a comprehensive introduction to building generative AI applications on Google Cloud. It covers four main areas: understanding generative AI applications and their use cases, designing effective prompts for improved model responses, implementing retrieval augmented generation (RAG) for enhanced accuracy, and building a practical LLM and RAG-based chat application. The curriculum includes theoretical concepts and hands-on labs using Vertex AI Studio, allowing students to experiment with Google's foundation models and multimodal capabilities. By the end of the course, learners will have practical experience in creating and deploying generative AI applications on Google Cloud.
Generative AI Applications
Module 1 · 26 Minutes to complete
Prompts
Module 2 · 26 Minutes to complete
Get Started with Vertex AI Studio
Module 3 · 1 Hours to complete
Retrieval Augmented Generation (RAG)
Module 4 · 26 Minutes to complete
Build an LLM and RAG-based Chat Application
Module 5 · 1 Hours to complete
Course Resources
Module 6 · 10 Minutes to complete
Fee Structure
Instructor
Course Instructor, Technology and Product Planning
Jasmine McNeil is a seasoned manager and course instructor affiliated with Johns Hopkins University, where she leads the Technology and Product Planning course on Coursera. With dual master’s degrees in Business Administration and Management, she specializes in product strategy, agile project management, and human-centered design. Her teaching focuses on guiding learners through the end-to-end process of building digital health products—from ideation and research to deployment—by integrating healthcare technology, stakeholder management, and design thinking. Through insights from industry leaders and real-world case studies, she helps professionals understand how to bring innovative health technology solutions from concept to implementation.
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