Create Generative AI Apps on Google Cloud

This course is part of Build and Modernize Applications With Generative AI Specialization

Instructor: Google Cloud Training

Access provided by Kalinga Institute of Industrial Technology

6 modules

Gain insight into a topic and learn the fundamentals.

13 reviews

Intermediate level

Some related experience required

8 hours to complete

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

13 reviews

Intermediate level

Some related experience required

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Describe generative-AI-based application types and use cases.
Describe how to build prompt templates to improve model response quality in applications.
Describe the subsystems of RAG-capable architectures for generative AI applications on Google Cloud.
Build an LLM and RAG-based chat application.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Build and Modernize Applications With Generative AI Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 6 modules in this course

Generative AI applications can create new user experiences that were nearly impossible before the invention of large language models (LLMs). As an application developer, how can you use generative AI to build engaging, powerful apps on Google Cloud?

In this module, you learn about generative AI applications, and types of applications that can use the power of generative AI. You also learn about foundation models provided by Google, and challenges that exist when using generative AI in your applications.

What's included

1 assignment5 plugins

In this module, you learn about generative AI prompts. A prompt is a natural language request submied to a language model to request a response back. You can design your prompts to improve the results being returned from a model.

What's included

1 assignment5 plugins

In this module, you experiment with Vertex AI Studio, which provides tools to rapidly prototype, tune models with your own data, and seamlessly deploy to applications. You explore multimodal capabilities of Gemini, design prompts, and generate conversations.

What's included

1 app item1 plugin

In this module, you learn how to improve the accuracy of foundation models. You learn about retrieval augmented generation, or RAG, a technique for grounding a foundation model with external sources of knowledge. You'll also see an example RAG-capable generative AI solution architecture on Google Cloud.

What's included

1 assignment6 plugins

In this module, you build a chat application that uses large language models (LLMs) and retrieval augmented generation (RAG) to create engaging and informative conversations.