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Google Gemini AI Masterclass - The Ultimate Guide - OneDDL - 12-18-2023
![[Image: 24b14361eda2b5db14f87d2075d2e1ff.jpeg]](https://i122.fastpic.org/big/2023/1218/ff/24b14361eda2b5db14f87d2075d2e1ff.jpeg)
Free Download Google Gemini AI Masterclass - The Ultimate Guide
Published 12/2023
Created by Renaldi Gondosubroto
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 34 Lectures ( 3h 52m ) | Size: 1.4 GB
From Basic to Advanced Generative Artificial Intelligence on Google Gemini
What you'll learn
Acquire a comprehensive understanding of Google Gemini AI and its integration with Google Cloud services to deploy generative AI applications.
Gain proficiency in utilizing the Google Gemini API to access and interact with the family of foundational models within it.
Master the techniques of prompt engineering to effectively communicate with Gemini Pro and obtain desired responses for various AI applications.
Develop skills to customize, build, and scale generative AI applications using Gemini Pro, ensuring privacy and without managing infrastructure.
Requirements
Proficiency in Python programming is essential.
A foundational understanding of artificial intelligence and machine learning concepts will be beneficial to grasp the advanced topics covered in the course.
A computer with internet access to utilize Google Cloud's services and to participate in the online course.
A Google Cloud account to practice and apply the concepts learned in the course.
Description
Embark on a transformative learning journey with the "Google Gemini AI Masterclass: The Ultimate Guide". This in-depth course is expertly crafted to arm you with essential knowledge, skills, and practical expertise necessary to excel in the rapidly advancing field of Multimodal Artificial Intelligence (AI) using Google's groundbreaking Gemini AI.The course begins with an insightful introduction to Google Gemini, laying the groundwork for a comprehensive understanding of its multimodal capabilities. As a next-generation foundation model, Gemini is designed to generalize and integrate various types of information, including text, code, audio, image, and video, offering an unparalleled scope of application. This initial module paves the way for an extensive exploration of Gemini's diverse features, facilitating a nuanced comprehension and effective application of the platform.Advancing through the course, you'll delve into the intricacies of working with the Gemini Pro API within your local environment and Google Colab. This segment is crucial for mastering the platform's wide-ranging functionalities, enabling you to leverage its potential to the fullest. The program then shifts focus to a hands-on approach, emphasizing the construction of multimodal AI applications using Gemini. You'll translate theoretical knowledge into practical skills, equipping you to design, develop, and deploy sophisticated AI applications efficiently, along with integrating the services provided by Google Cloud into it.Further, the course will highlight best practices and offer a detailed understanding of the cost model associated with using Gemini Pro on Vertex AI, ensuring informed and economical decision-making. The culmination of the masterclass is a Capstone Project, wherein you will apply your cumulative knowledge and skills in a real-world context, demonstrating your proficiency in utilizing Google Gemini for diverse AI applications. This project serves as a practical testament to your understanding and readiness to address real-world AI challenges using Google Gemini.The "Google Gemini AI Masterclass: The Ultimate Guide" is more than a mere course; it's a gateway to mastering multimodal AI on one of the most sophisticated platforms available today. Through structured modules, practical insights, and the capstone project, this masterclass offers a rich, engaging, and rewarding educational experience, propelling you towards becoming a proficient practitioner of multimodal AI with Google Gemini.
Who this course is for
Developers and AI Practitioners
Data Scientists and Machine Learning Engineers
AI Enthusiasts and Hobbyists
Technical Managers and Decision-makers
Educators and AI Researchers
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