Member since 2024
Orchestrating Gen AI Applications with LangChain
Earned дек. 11, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned дек. 10, 2024 EST
Orchestrate LLM solutions with LangChain
Earned дек. 10, 2024 EST
Explore Generative AI with the Gemini API in Vertex AI
Earned дек. 10, 2024 EST
Deploy, Test & Evaluate Gen AI Apps
Earned дек. 10, 2024 EST
This course equips full-stack mobile and web developers with the skills to integrate generative AI features into their applications using LangChain. You'll learn how to leverage LangChain’s capabilities for backend flows and seamless model execution, all within the familiar environment of Python. The course guides you through the entire process, from prototyping to production, ensuring a smooth journey in building next-generation AI-powered applications.
This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.
Learn to use LangChain to call Google Cloud LLMs and Generative AI Services and Datastores to simplify complex applications' code.
Complete the intermediate Explore Generative AI with the Gemini API in Vertex AI skill badge to demonstrate skills in the following: text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects.
All applications, including generative AI applications, should be deployed securely & have their performance monitored. In this course, you will explore a pattern for easily securing prototype generative AI applications for internal tool use or customer demos. Additionally, you will learn strategies to unit test generative AI applications and evaluate their performance with the Rapid Evaluation API.