קורסים
18844 קורסים
Gemini for Application Developers
Gemini for Application Developers
In this course, you will explore how Gemini, a generative AI-powered collaborator from Google Cloud, supports developers in building applications. Learn to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your projects. Through a practical hands-on lab, you will see firsthand.
Gemini for Network Engineers
Gemini for Network Engineers
In this course, you will discover how Gemini, a generative AI-powered collaborator from Google Cloud, aids network engineers in creating, updating, and maintaining VPC networks. You will learn how to prompt Gemini to provide specific guidance for your networking tasks, offering insights beyond what.
Incorporating Generative Features into Complex DFCX Agents
Incorporating Generative Features into Complex DFCX Agents
Incorporating Generative Features into Complex DFCX Agents
Join our comprehensive course where you will master the integration of multiple advanced generative capabilities within a Dialogflow CX agent. This essential learning opportunity, provided by Google.
Website Modernization with Generative AI on Google Cloud
Website Modernization with Generative AI on Google Cloud
Enhance the navigation experience of your website by using generative AI to provide a better search experience for your users. In this course, you learn how to use Vertex AI Search to provide your website users a generative search experience enabling them to discover content offered.
Unlocking Speech Recognition: Deep Learning in Acoustics
Unlocking Speech Recognition: Deep Learning in Acoustics
Unlocking Speech Recognition: Deep Learning in Acoustics offers a comprehensive dive into AI communication. This course is perfect for those looking to develop speech-to-text models using TensorFlow and PyTorch.
Throughout this course, you’ll master essential techniques required to.
Gemini for end-to-end SDLC
Gemini for End-to-End SDLC - An Interactive Course by Pluralsight
University: Provider: Pluralsight
Categories: Software Development Courses, Gemini Courses
Enroll in "Gemini for End-to-End SDLC" and discover how Gemini, a generative AI-powered collaborator from Google Cloud, helps you effectively use Google products and services to develop, tes.
Troubleshooting and Improving Neural Network Performance
Troubleshooting and Improving Neural Network Performance
This course will teach you neural network troubleshooting and performance tuning from a data scientist's perspective. Understand various troubleshooting techniques for neural networks and how to improve neural network performance effectively.
In this course, Troubleshooting and Improving.
Object Detection Recognition and Tracking
Object Detection Recognition and Tracking
Computer vision applications can automate and enhance the analysis and interpretation of visual data beyond human capabilities. This course will teach you how image classifiers can perform object detection, recognition, and tracking using Tensorflow.
In this course, Object Detection Recognition and Tracki.
Prompt Engineering for Developers with Google Gemini
Prompt Engineering for Developers with Google Gemini
This course will teach you the fundamental prompt engineering concepts in the context of the Gemini large language model. In Prompt Engineering for Google Gemini, you’ll learn to use the Gemini large language models efficiently through prompt engineering.
First, you’ll explore the basics of.
Azure AI Engineer Associate (AI-102): Computer Vision Solutions
Course Title: Azure AI Engineer Associate (AI-102): Computer Vision Solutions
Description: Learn how to leverage the vision capabilities of Azure AI to bring insight and additional interactions with images and video. In this course, "Azure AI Engineer Associate (AI-102): Computer Vision Solutions," you’ll learn to utilize all the vision capabil.
Neural Networks for Image Classification
Neural Networks for Image Classification
Unlock the potential of image classification with neural networks. This course will teach you to extract features, build, and evaluate models using TensorFlow, and explore advanced architectures with transfer learning.
In the digital age, the ability to categorize and understand images through.