This learning path is for application developers who want to enhance their projects with the power of generative AI. From understanding the core concepts of Gemini, Google's advanced language model, to building end-to-end applications on Google Cloud, this path will guide you through essential techniques and tools to seamlessly integrate gen AI capabilities into your development workflow. Finally, dive into a hands-on lab to learn how to build your own gen AI applications with Gemini and Streamlit.
Overview
Syllabus
- Gemini for Application Developers
- You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications.
- Gemini for end-to-end SDLC
- With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data.
- Create Generative AI Apps on Google Cloud
- Learn about Gen AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs.
- Website Modernization with Generative AI on Google Cloud
- Use Agent Search on Gemini Enterprise Agent Platform to provide your website users a generative search experience.
- Streamline App Development with Gemini Code Assist
- This course introduces you to the core features and functionalities of Gemini Code Assist, an AI-powered app development collaborator for Google Cloud.
- Accelerate App Development with Gemini CLI
- Learn about gemini CLI installation and configuration, and introduces use cases and security best practices
- Configure Gemini Code Assist for Organizations
- The course introduces the benefits of Gemini Code Assist and compares the features of the different Gemini Code Assist editions.
- Deploy and Scale AI Models with Cloud Run
- This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run.
Taught by
Google Cloud