Google Gemini AI Masterclass: The Ultimate Guide
Google Gemini AI Masterclass: The Ultimate Guide
Intermediate
4 Hrs
From Basic to Advanced Generative Artificial Intelligence on Google Gemini
From Basic to Advanced Generative Artificial Intelligence on Google Gemini
Overview
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 the essential knowledge, skills, and practical expertise necessary to excel in the rapidly advancing Multimodal Artificial Intelligence (AI) field 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 practical 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 fully leverage its potential. 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 of 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 is 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 toward becoming a proficient practitioner of multimodal AI with Google Gemini.
The necessary resources for this course are in the "Resources" section of Video 1.1. You can also access them through this direct link - https://github.com/ec-council-learning/Google-Gemini-AI-Masterclass-The-Ultimate-Guide
What You Will 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.
Prerequisites
- 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.
Content
Chapter 1: Introduction
5 Videos
Prerequisites for the Course What is Google Gemini? Parameters and Considerations Caution on Using LLMs Crafting Your Initial Prompt Chapter 1 Quiz
Preview
Chapter 2: Exploring Gemini Features
3 Videos
Foundational Models on Google Gemini Using Google Bard with Gemini Introduction to Using the Google Vertex AI Studio Playground for Gemini Chapter 2 Quiz
Preview
Chapter 3: Working with the Google Gemini API
7 Videos
Understanding Why We Use the API Installing Python and Jupyter Notebook Performing Text Generation using the Gemini API Using Parameters within Text Generation Introduction to Image Generation on Gemini Generating Code with the Gemini API Performing Image Generation using the Gemini API Chapter 3 Quiz
Preview
Chapter 4: Advanced Features with Google Gemini
8 Videos
Introduction to Creating a Context-Driven Chatbot with Gemini Working with a Chatbot with Context on Google Gemini Safety Ratings on Gemini Introduction to Retrieval Augmented Generation Setting Up Documents and Libraries for RAG with Gemini API Performing Text Searches with RAG on Gemini Searching for Images through RAG on Gemini Implementing RAG the Multimodal Way Chapter 4 Quiz
Preview
Chapter 5: Building Generative AI Applications with Gemini
4 Videos
Introduction to Building Generative AI Applications with Gemini Building the Backend of an AI Application Building the Frontend of an AI Application A Demo of the Application Chapter 5 Quiz
Preview
Chapter 6: Best Practices and Pricing
4 Videos
Best Practices Pricing Challenges Where to Go from Here? Chapter 6 Quiz
Preview
Chapter 7: Conclusion
1 Videos
Wrap-Up Chapter 7 Quiz
Preview
Instructor
Renaldi Gondosubroto
Renaldi Gondosubroto is a Software Engineer and an Instructor. Having spoken over 30 events and conferences, he has been an international speaker for the past six years, sharing his experiences and projects. He also currently holds all 13 AWS certifications. He aims to build open-source solutions that can both help people achieve more value in what they do and promote best practices for fellow developers.
Renaldi Gondosubroto is a Software Engineer and an Instructor. Having spoken over 30 events and conferences, he has been an international speaker for the past six years, sharing his experiences and projects. He also currently holds all 13 AWS certifications. He aims to build open-source solutions that can both help people achieve more value in what they do and promote best practices for fellow developers.
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