Udemy - Google Cloud Generative Ai Essentials

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Free Download Udemy - Google Cloud Generative Ai Essentials
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.25 GB | Duration: 3h 13m
A Comprehensive Guide to Building AI-Driven Applications

What you'll learn
Understand Generative AI Fundamentals
Gain hands-on experience with Google Cloud services like Vertex AI, AutoML, and BigQuery, which facilitate the development and deployment of AI models.
Learn how to create, train, and optimize generative models for tasks such as text generation, image synthesis, and audio creation.
Discover practical use cases of generative AI, including: Own Search Engine & LLM Chatbot using Vertex AI Agent Builder
AI Based projects with the provided source code for hands-on projects, enabling you to apply your learning immediately and explore further.
Requirements
A willingness to explore and learn about generative AI, along with an interest in applying AI technologies to real-world problems.
Description
Unlock the Power of Google Cloud Generative AIAre you ready to revolutionize your business with the power of generative AI? This comprehensive course is your gateway to mastering Google Cloud's suite of groundbreaking AI tools, including Duet AI, Gen AI Studio, and the revolutionary Gemini AI.What You'll Learn:Google Cloud Generative AI Fundamentals:Understand the core concepts and applications of generative AI.Explore the potential of AI to automate tasks, enhance creativity, and drive innovation.Mastering Gemini AI Chat ( former Duet AI):Learn how to leverage Duet AI to supercharge your productivity.Discover techniques for writing better code, creating stunning designs, and streamlining your workflow.Harnessing the Power of Gen AI Studioive into the world of Gen AI Studio and build custom AI models tailored to your specific needs.Explore a wide range of use cases, from natural language processing to image generation.Unleashing the Future with Gemini AI:Gain insights into the latest advancements in AI with Gemini AI.Learn how to apply Gemini AI to real-world problems and create innovative solutions.Hands-on Projects with Hansonut your knowledge into practice with hands-on projects using Hanson, a powerful AI framework.Build practical applications and gain valuable experience in AI development.
Overview
Section 1: Introduction
Lecture 1 Introduction to Generative AI
Lecture 2 Google Generative AI Studio - Older
Section 2: Google Gemini AI
Lecture 3 Gemini AI Introduction
Lecture 4 Gemini AI Chat ( Former Duet AI)
Lecture 5 Enable Gemini AI Chat in Google Cloud
Lecture 6 Gemini AI Chat in Cloud Console
Lecture 7 Gemini AI in VS Code
Lecture 8 Gemini AI for BigQuery
Section 3: Generative AI Projects
Lecture 9 Build GenAI Chatbots on Cloud Run
Lecture 10 AI Voice Assistant with python & Google's Generative AI
Lecture 11 Instagram Post Sentiment Analysis using Gemini Pro
Lecture 12 Personalized Search Engine with Vertex AI Agent Builder
Lecture 13 Customized LLM Chatbot on Your Own Data Using Vertex AI Agent Builder
Individuals looking to build a career in artificial intelligence and gain practical skills in generative AI technologies.,Those interested in leveraging cloud platforms to implement AI solutions, especially using Google Cloud services.,Professionals who want to expand their skill set by integrating generative AI into their applications or workflows.
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Google Cloud Generative Ai Essentials
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.25 GB | Duration: 3h 13m​

A Comprehensive Guide to Building AI-Driven Applications

What you'll learn

Understand Generative AI Fundamentals:

Gain hands-on experience with Google Cloud services like Vertex AI, AutoML, and BigQuery, which facilitate the development and deployment of AI models.

Learn how to create, train, and optimize generative models for tasks such as text generation, image synthesis, and audio creation.

Discover practical use cases of generative AI, including: Own Search Engine & LLM Chatbot using Vertex AI Agent Builder

AI Based projects with the provided source code for hands-on projects, enabling you to apply your learning immediately and explore further.

Requirements

A willingness to explore and learn about generative AI, along with an interest in applying AI technologies to real-world problems.

Description

Unlock the Power of Google Cloud Generative AIAre you ready to revolutionize your business with the power of generative AI? This comprehensive course is your gateway to mastering Google Cloud's suite of groundbreaking AI tools, including Duet AI, Gen AI Studio, and the revolutionary Gemini AI.What You'll Learn:Google Cloud Generative AI Fundamentals:Understand the core concepts and applications of generative AI.Explore the potential of AI to automate tasks, enhance creativity, and drive innovation.Mastering Gemini AI Chat ( former Duet AI):Learn how to leverage Duet AI to supercharge your productivity.Discover techniques for writing better code, creating stunning designs, and streamlining your workflow.Harnessing the Power of Gen AI Studioive into the world of Gen AI Studio and build custom AI models tailored to your specific needs.Explore a wide range of use cases, from natural language processing to image generation.Unleashing the Future with Gemini AI:Gain insights into the latest advancements in AI with Gemini AI.Learn how to apply Gemini AI to real-world problems and create innovative solutions.Hands-on Projects with Hansonut your knowledge into practice with hands-on projects using Hanson, a powerful AI framework.Build practical applications and gain valuable experience in AI development.

Overview

Section 1: Introduction

Lecture 1 Introduction to Generative AI

Lecture 2 Google Generative AI Studio - Older

Section 2: Google Gemini AI

Lecture 3 Gemini AI Introduction

Lecture 4 Gemini AI Chat ( Former Duet AI)

Lecture 5 Enable Gemini AI Chat in Google Cloud

Lecture 6 Gemini AI Chat in Cloud Console

Lecture 7 Gemini AI in VS Code

Lecture 8 Gemini AI for BigQuery

Section 3: Generative AI Projects

Lecture 9 Build GenAI Chatbots on Cloud Run

Lecture 10 AI Voice Assistant with python & Google's Generative AI

Lecture 11 Instagram Post Sentiment Analysis using Gemini Pro

Lecture 12 Personalized Search Engine with Vertex AI Agent Builder

Lecture 13 Customized LLM Chatbot on Your Own Data Using Vertex AI Agent Builder

Individuals looking to build a career in artificial intelligence and gain practical skills in generative AI technologies.,Those interested in leveraging cloud platforms to implement AI solutions, especially using Google Cloud services.,Professionals who want to expand their skill set by integrating generative AI into their applications or workflows.

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Google Ai Essentials
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.58 GB | Duration: 2h 21m​

Master AI Essentials: Learn Prompting, AI Integration, and Safe Practices for Future Growth

What you'll learn

Understand the foundational concepts of artificial intelligence and machine learning.

Explore real-world AI applications with insights from Google engineers.

Build and evaluate simple AI models using Python and TensorFlow.

Analyze ethical implications and future trends in AI technologies.

Requirements

No prior knowledge of AI is required; this course is beginner-friendly.

Description

Unlock the transformative power of artificial intelligence in this all-encompassing course, designed to provide you with essential AI knowledge and practical skills. Whether you're a beginner or looking to refine your understanding, this course will help you harness AI tools effectively to enhance your work, increase productivity, and maintain a competitive edge in today's fast-evolving technological landscape.Master the art of crafting precise and impactful prompts to optimize your interaction with AI systems. From generating creative content to solving complex problems and automating tasks, you'll acquire a skill that is both versatile and invaluable in personal and professional settings.This course also delves into the immense growth potential AI offers across various industries. You'll uncover how AI can streamline workflows, create innovative solutions, and open up new career opportunities, making it a powerful ally for success.Equally important is learning how to use AI responsibly. You'll gain insights into best practices for safeguarding data privacy, adhering to ethical guidelines, and minimizing risks associated with AI misuse. With a strong emphasis on safety, this course ensures you're equipped to navigate AI's capabilities confidently and securely.Designed to offer both foundational knowledge and practical applications, this course empowers learners to integrate AI into their lives and careers effectively. No prior experience is required-just curiosity and a desire to embrace the future. Start your journey into the world of AI today and unlock the tools to transform your career and life!

Overview

Section 1: Welcome to the exciting world of AI

Lecture 1 Introduction to Google AI Essentials

Lecture 2 AI and the future of work

Lecture 3 Learn from AI success stories

Section 2: Discover how AI works

Lecture 4 Explore how AI uses machine learning

Lecture 5 Foundations of generative AI

Lecture 6 Understand the capabilities and limitations of AI

Lecture 7 Vint: Use AI for positive change

Section 3: AI for professionals

Lecture 8 Use AI as a collaborative tool

Lecture 9 Aleck: Make daily tasks easier with AI

Lecture 10 Wrap-up

Section 4: Explore generative AI

Lecture 11 Module 2 introduction: Maximize productivity with AI tools

Lecture 12 Discover generative AI applications

Lecture 13 Tris: My favorite ways to use AI

Lecture 14 Understand how AI tools work

Lecture 15 Transform your work with generative AI

Lecture 16 Work with Gemini

Lecture 17 Manvinder: Ways I use AI in my work

Section 5: The importance of human involvement in AI

Lecture 18 Leverage the human-in-the-loop approach to AI

Lecture 19 Kathy: Explore how people improve AI models

Lecture 20 Determine if generative AI is right for the task

Lecture 21 Wrap-up

Section 6: Large language models and their output

Lecture 22 Discover the art of prompting

Lecture 23 Understand large language models

Lecture 24 Yufeng: Experiment with prompting

Section 7: Key principles of effective prompt writing

Lecture 25 Write clear and specific prompts

Lecture 26 Leverage an LLM's capabilities at work

Lecture 27 Improve AI output through iteration

Lecture 28 Discover few-shot prompting

Lecture 29 Rachna: Improve prompts through exploration

Lecture 30 Wrap-up

Section 8: Recognize data bias and AI harms

Lecture 31 Use AI responsibly

Lecture 32 Understand bias in AI

Lecture 33 Identify AI harms

Lecture 34 Emilio: My path to working in responsible AI

Lecture 35 Security and privacy risks of AI

Section 9: AI for social good

Lecture 36 Jalon: My work on the responsible AI team

Lecture 37 Shaun: Develop AI that works for everyone

Lecture 38 Wrap-up

Section 10: Stay informed about AI

Lecture 39 Stay ahead of the AI curve

Lecture 40 Sharbani: The future of AI

Lecture 41 Stay up to date with AI

Lecture 42 Anoop: Become AI-empowered

Section 11: Learn from AI innovation

Lecture 43 Take inspiration from AI innovation

Lecture 44 Reena: Find inspiration in how others have used AI

Lecture 45 Benefits of staying up to date with AI

Lecture 46 Greg: Keep exploring with AI

Lecture 47 Wrap-up

Lecture 48 Google AI Essentials Conclusion

Aspiring developers curious about artificial intelligence and its applications,Students and professionals seeking to explore AI fundamentals for career growth.,Beginners in programming looking for a structured introduction to AI.,Enthusiasts who want insights from Google engineers about the latest in AI.

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[0dayddl]

Google Ai Essentials
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.58 GB | Duration: 2h 21m​

Master AI Essentials: Learn Prompting, AI Integration, and Safe Practices for Future Growth

What you'll learn

Understand the foundational concepts of artificial intelligence and machine learning.

Explore real-world AI applications with insights from Google engineers.

Build and evaluate simple AI models using Python and TensorFlow.

Analyze ethical implications and future trends in AI technologies.

Requirements

No prior knowledge of AI is required; this course is beginner-friendly.

Description

Unlock the transformative power of artificial intelligence in this all-encompassing course, designed to provide you with essential AI knowledge and practical skills. Whether you're a beginner or looking to refine your understanding, this course will help you harness AI tools effectively to enhance your work, increase productivity, and maintain a competitive edge in today's fast-evolving technological landscape.Master the art of crafting precise and impactful prompts to optimize your interaction with AI systems. From generating creative content to solving complex problems and automating tasks, you'll acquire a skill that is both versatile and invaluable in personal and professional settings.This course also delves into the immense growth potential AI offers across various industries. You'll uncover how AI can streamline workflows, create innovative solutions, and open up new career opportunities, making it a powerful ally for success.Equally important is learning how to use AI responsibly. You'll gain insights into best practices for safeguarding data privacy, adhering to ethical guidelines, and minimizing risks associated with AI misuse. With a strong emphasis on safety, this course ensures you're equipped to navigate AI's capabilities confidently and securely.Designed to offer both foundational knowledge and practical applications, this course empowers learners to integrate AI into their lives and careers effectively. No prior experience is required-just curiosity and a desire to embrace the future. Start your journey into the world of AI today and unlock the tools to transform your career and life!

Overview

Section 1: Welcome to the exciting world of AI

Lecture 1 Introduction to Google AI Essentials

Lecture 2 AI and the future of work

Lecture 3 Learn from AI success stories

Section 2: Discover how AI works

Lecture 4 Explore how AI uses machine learning

Lecture 5 Foundations of generative AI

Lecture 6 Understand the capabilities and limitations of AI

Lecture 7 Vint: Use AI for positive change

Section 3: AI for professionals

Lecture 8 Use AI as a collaborative tool

Lecture 9 Aleck: Make daily tasks easier with AI

Lecture 10 Wrap-up

Section 4: Explore generative AI

Lecture 11 Module 2 introduction: Maximize productivity with AI tools

Lecture 12 Discover generative AI applications

Lecture 13 Tris: My favorite ways to use AI

Lecture 14 Understand how AI tools work

Lecture 15 Transform your work with generative AI

Lecture 16 Work with Gemini

Lecture 17 Manvinder: Ways I use AI in my work

Section 5: The importance of human involvement in AI

Lecture 18 Leverage the human-in-the-loop approach to AI

Lecture 19 Kathy: Explore how people improve AI models

Lecture 20 Determine if generative AI is right for the task

Lecture 21 Wrap-up

Section 6: Large language models and their output

Lecture 22 Discover the art of prompting

Lecture 23 Understand large language models

Lecture 24 Yufeng: Experiment with prompting

Section 7: Key principles of effective prompt writing

Lecture 25 Write clear and specific prompts

Lecture 26 Leverage an LLM's capabilities at work

Lecture 27 Improve AI output through iteration

Lecture 28 Discover few-shot prompting

Lecture 29 Rachna: Improve prompts through exploration

Lecture 30 Wrap-up

Section 8: Recognize data bias and AI harms

Lecture 31 Use AI responsibly

Lecture 32 Understand bias in AI

Lecture 33 Identify AI harms

Lecture 34 Emilio: My path to working in responsible AI

Lecture 35 Security and privacy risks of AI

Section 9: AI for social good

Lecture 36 Jalon: My work on the responsible AI team

Lecture 37 Shaun: Develop AI that works for everyone

Lecture 38 Wrap-up

Section 10: Stay informed about AI

Lecture 39 Stay ahead of the AI curve

Lecture 40 Sharbani: The future of AI

Lecture 41 Stay up to date with AI

Lecture 42 Anoop: Become AI-empowered

Section 11: Learn from AI innovation

Lecture 43 Take inspiration from AI innovation

Lecture 44 Reena: Find inspiration in how others have used AI

Lecture 45 Benefits of staying up to date with AI

Lecture 46 Greg: Keep exploring with AI

Lecture 47 Wrap-up

Lecture 48 Google AI Essentials Conclusion

Aspiring developers curious about artificial intelligence and its applications,Students and professionals seeking to explore AI fundamentals for career growth.,Beginners in programming looking for a structured introduction to AI.,Enthusiasts who want insights from Google engineers about the latest in AI.

RapidGator

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Google Cloud Essentials
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 5h 55m | 2.18 GB
Instructor: Dan Sullivan​

Overview:

Google Cloud expert and author Dan Sullivan walks you through the essential skills and services you need to get you up and running on the Google Cloud. Throughout the video training, Dan uses demos and labs to cement your understanding and provide you with hands on experience in the Google Cloud Platform.

By the end of the course, you will learn how to start using Google Cloud, how to decide which computing service is right for your needs, how to create virtual machines, and use serverless functions for event driven processing. You'll also learn about running containers in Cloud Run and Google Kubernetes Engine. It also covers hot topics like AI and machine learning on Google Cloud and explores using Google BigQuery for a wide range of analytics workloads.

Topics include:

• Google Cloud basics
• Deploying virtual machines
• Using serverless functions to build event driven workflows
• Using Google BigQuery to analyze data
• Identity management and network security on Google Cloud
• Networking, including working with virtual private clouds and firewall rules
• Deploying a relational database using a managed services
• Understanding the state of your infrastructure and services your services using Cloud Monitoring and Cloud Logging
• Using Cloud Marketplace to deploy pre-packaged software and infrastructure to your virtual private cloud

Skill Level: Beginner, Intermediate

Learn How To:

• Deploy virtual machines and serverless functions in Google Cloud
• Deploy a database using Cloud SQL
• Query a data in Google BigQuery, a managed data warehouse and analytics platform
• Create firewall rules and assign roles to grant permissions to users
• Create event driven workflows using Cloud Functions

Who Should Take This Course:

• You are new to cloud and want to quickly get hands on experience
• You are experienced with other clouds and want to learn more about Google Cloud
• You are a developer and want to deploy and maintain solutions in Google Cloud
• You are an architect and want to understand Google Cloud services and how to use them to develop enterprise-scale solutions
• You are a data analyst or data scientist and want to learn about the leading cloud for data management, analysis, and machine learning
• You are a manage and want to understand cloud technology, especially the breadth of services available and how to choose among them

Course Requirements:

• Familiarity with IT infrastructure concepts, such as servers, databases, and networking
• Ability to work with graphical user interface as well as a command line

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