Cursussen
18910 Cursussen
Deploy a Streamlit App Integrated with Gemini Pro on Cloud Run
Deploy a Streamlit App Integrated with Gemini Pro on Cloud Run | Coursera
Embark on a self-paced lab through the Google Cloud console and master the deployment of a Streamlit app integrated with Gemini Pro on Cloud Run. This lab is provided by Coursera and lies within several categories, including Artificial Intelligence, Pytho.
Coursera
Getting started with the Vertex AI Gemini 1.5 Pro Model
Getting Started with the Vertex AI Gemini 1.5 Pro Model
Getting Started with the Vertex AI Gemini 1.5 Pro Model
Immerse yourself in a self-paced lab within the Google Cloud console, designed to offer an introductory and practical experience with Generative AI on Google Cloud. This engaging lab is provided by Coursera.
Categories: A.
Coursera
Using Gemini in Education
Using Gemini in Education
Join our self-paced lab on the Google Cloud console to explore the potential of Gemini models in transforming educational experiences. This hands-on course, provided by Coursera, is designed for those eager to integrate cutting-edge AI and machine learning technologies into educational environments.
Offered by: Coursera.
Coursera
Uptraining with Document AI Workbench
Title: Uptraining with Document AI Workbench
Description: Embark on a self-paced lab within the Google Cloud console where you'll build an Invoice Parser processor, configure it for uptraining, label example documents, and enhance the processor’s capabilities.
University:
Provider: Coursera
Categories: Machine Learning Courses,.
Coursera
Using Specialized Processors with Document AI (Python)
Using Specialized Processors with Document AI (Python)
Course Title: Using Specialized Processors with Document AI (Python)
Description: This self-paced lab offers hands-on experience in the Google Cloud console. Learn to harness the power of Document AI Specialized Processors to classify and parse specialized documents using Python..
Coursera
Craft an AutoGPT Gen AI Instrument with Rust & GPT-4
Craft an AutoGPT Gen AI Instrument with Rust & GPT-4
In this course, you’ll build an advanced AutoGPT code generation tool using Rust and GPT-4. Starting with a solid foundation in Rust, you'll progress from basic syntax to advanced features like concurrency and memory management.
As you progress, you’ll dive deeper into Rust’s capabilities, lea.
Coursera
PyTorch Ultimate 2024 - From Basics to Cutting-Edge
PyTorch Ultimate 2024 - From Basics to Cutting-Edge
Embark on a transformative learning experience with our PyTorch Ultimate 2024 course. Begin with a solid foundation, understanding the key topics and objectives, and seamlessly transition through machine learning essentials and deep learning principles. From setting up your environment to master.
Coursera
Form Parsing with Document AI (Python)
Form Parsing with Document AI (Python)
Embark on this self-paced lab in the Google Cloud console where you will develop skills in using the Document AI Form Parser to parse handwritten forms using Python. Offered by Coursera, this lab is an essential resource for those interested in Python, machine learning, Google Cloud Platform, document AI, d.
Coursera
Build and Deploy an Agent with Reasoning Engine in Vertex AI
Build and Deploy an Agent with Reasoning Engine in Vertex AI
Engage in this self-paced lab through the Google Cloud console and gain hands-on experience in building and deploying an agent. Learn to utilize the Vertex AI SDK for Python effectively, including working with models, tools, and reasoning.
Categories:
Artificial Intelligence Cour.
Coursera
Call Gemini using the OpenAI Library
Call Gemini using the OpenAI Library
University:
Provider: Coursera
Categories: Python Courses, Machine Learning Courses, Google Cloud Platform (GCP) Courses, Gemini Courses, OpenAI Courses
This self-paced lab, hosted in the Google Cloud console, guides you through the process of calling Gemini using the OpenAI library. Enhance your skills an.
Coursera
Introduction to Vertex AI Embeddings: Text and Multimodal
Introduction to Vertex AI Embeddings: Text and Multimodal
Explore the comprehensive world of Vertex AI with our self-paced lab, Introduction to Vertex AI Embeddings: Text and Multimodal. Conducted through the Google Cloud console, this lab provides hands-on experience with the Vertex AI Embeddings API, catering to both Text and Multimodal (Image.
Coursera