Generative Ai | Your Artificial Intelligence Course For 2025

Full Gen AI Course: GPT Chat, Gemini, and 100+ AIs to Create Docs, Text, Voice, Music, Audio, Images, Videos, Apps.

What you'll learn

How to use Generative AI to create text, documents, audio, images, video, code, and applications

Which Tool to Use for Each Specific Task (+100 Tools Included)

How to Use ChatGPT, Gemini, Google AI Studio, and Microsoft Copilot, among others.

How to do in-depth research using ChatGPT, Perplexity, or Google Deep Research

How to Create and Customize Virtual Avatars

How to Use Open Source LLMs Locally, Without an Internet Connection and Using Your PC's Resources

Requirements

Internet access (except for using open source models)

Laptop. Mobile device is also useful.

Description

+70,000 students from 153 countries enrolled in our courses.+1,200 Reviews on Our Courses.This is the Generative Artificial Intelligence Course you've been looking for.Ready to Boost Your Productivity and Creativity Like Never Before?Not only will you understand the fundamentals and the current landscape of tools, but you'll also learn to communicate effectively with AI (LLMs) by engineering prompts to obtain results that are sure to surprise you.You'll immerse yourself in the practical use of the most influential tools such as ChatGPT, Google Gemini, Google AI Studio, and Microsoft Copilot. You'll learn about other LLMs such as Claude, Grok, or DeepSeek. You'll explore the power of open-source models such as Deep Seek, Stable Diffusion, or Llama (among many others) for local use. From Deep Research to Professional Generation and Editing of text, documents, voice, audio, music, images, video, and more!Boost your programming skills by generating, correcting, and debugging code to develop your own applications, while AI provides real-time assistance. Build web applications WITHOUT PROGRAMMING.You'll master an arsenal of more than 100 tools that use generative AI with practical applications in multiple business areas—marketing, sales, customer service, project management, content creation, HR, and robotic process automation, among others.We'll cover ethics, the impact on employment, current and future limitations, preparing you to adapt your skills and take full advantage of this technological revolution.Discover how these Large Language Models (LLMs) and other tools can revolutionize your personal and professional life.Are there any requirements to take the course?Personal computer. If you have a graphics card with at least 4GB of VRAM, you can also test image and video generation models locally (without an internet connection and using your PC's resources).Internet connection.Who is this course for?Professionals looking to enhance their careers by learning cutting-edge skills.Anyone who wants to use AI to build all types of content, including text, documents, images, audio, video, code, and web apps.Entrepreneurs looking to develop and manage business models using Generative AI.Proactive students looking to use AI to increase their productivity and efficiency.Anyone who wants to use AI to practice their creativity and boost their productivity.Anyone who wants to understand the use of Generative Artificial Intelligence.Anyone who wants to learn about Prompt Engineering.Anyone who wants to install Open Source LLMs locally and use these AIs with their PC's resources to create text, images, and videos, among other applications.Anyone who wants to build applications with supervised assistance from AI and solely from text, without programming.Anyone who wants to apply Generative AI to their personal and professional projects.With Udemy's 30-day money-back guarantee, you have a risk-free opportunity to explore all this knowledge. There's nothing to lose and so much to gain.Enroll now and let's begin this exciting journey into the future of Generative Artificial Intelligence together!

Overview

Section 1: Introduction to the Generative AI Revolution

Lecture 1 What You Will Learn in This Course

Lecture 2 Important! This course is dubbed from Spanish into English with AI

Lecture 3 What is Generative AI? Essential Concepts (LLM, Multimodal Models)

Lecture 4 Is Generative AI Really That Revolutionarily Useful?

Lecture 5 The Current Landscape: Main Players and Tools Used in this Course

Lecture 6 Understanding the Capabilities and Limits of Available Tools

Lecture 7 Key Considerations When Using Generative AI

Section 2: Prompt Engineering: The Language of AI

Lecture 8 Fundamental Principles for Effective Prompts

Lecture 9 Key Techniques of Prompt Engineering

Lecture 10 Strategies to Get Better Results

Lecture 11 Creativity Prompts vs. Analysis and Specific Task Prompts

Lecture 12 The Prompt Continuous Improvement Process

Section 3: Extra Content

Lecture 13 AI Tool Directories

Lecture 14 OpenAI+Microsoft vs Google+Anthropic

Section 4: Chat GPT

Lecture 15 How ChatGPT stands out from other LLMs

Lecture 16 Exploring the Interface

Lecture 17 Memory Testing

Lecture 18 Payment Plans and Features.

Lecture 19 Practical Excercises for Personal and Professional Projects

Section 5: Google Gemini – Google's Multimodal AI Ecosystem

Lecture 20 Introduction to Gemini

Lecture 21 Gemini Models and Web Access

Lecture 22 Web Interface and Custom Gems

Lecture 23 Practical Use Cases

Lecture 24 Google Workspace - Extensions, Apps, and Context Window

Lecture 25 NotebookLM with Integrated Gemini

Lecture 26 Additional Resources

Lecture 27 More Practical Exercises

Section 6: Google AI Studio - Google's AI Lab

Lecture 28 Introduction to Google AI Studio

Lecture 29 Accessing and Browsing the Web Interface

Lecture 30 Models Available in AI Studio

Lecture 31 Key Parameters

Lecture 32 Attach Files to Prompts.

Lecture 33 API

Lecture 34 Documentation and Resources

Lecture 35 Practical Activities - Streaming, Parameter Comparison, Media Creation

Lecture 36 Stream - Internet Browsing Parameters and Practical Cases

Lecture 37 Stream - Working on PC with AI Supervision, Troubleshooting, Feedback

Lecture 38 How to Build Apps Without Coding and with AI Supervision

Section 7: Microsoft Copilot

Lecture 39 Introduction to Microsoft Copilot

Lecture 40 Access and Modes of Use

Lecture 41 Access and Modes of Use - Part 2

Lecture 42 Copilot and Microsoft 365 in your pocket

Lecture 43 Nearest to Web Unlimited Image Creation - Usage Limits, Filters, and Biases

Lecture 44 Integration with Microsoft 365 Apps

Lecture 45 Alert! About GitHub Copilot!!

Lecture 46 GitHub Copilot: AI-Assisted Programming

Lecture 47 Copilot SubAgents (Personal, Web)

Section 8: Other Relevant LLMs

Lecture 48 Claude (Anthropic)

Lecture 49 Grok (xAI)

Lecture 50 Deep Seek (Web)

Section 9: Web Tools with Multiple LLMs

Lecture 51 POE

Lecture 52 Perplexity AI

Section 10: Open Source LLMs (Offline) and Available Tools

Lecture 53 Why Run LLMs Locally?

Lecture 54 Github Repositories and Cloud Services

Lecture 55 Llama.cpp

Lecture 56 Ollama

Lecture 57 vLLM

Lecture 58 LM Studio

Lecture 59 Jan

Lecture 60 GPT4All

Lecture 61 Cloud Services for LLM Use with External Resources

Lecture 62 OpenWebUI

Section 11: Deep Research with Artificial Intelligence

Lecture 63 Deep Investigation with AI

Lecture 64 Exercise - Plan a Trip

Lecture 65 Exercise - Create a Work of Fiction

Lecture 66 Exercise - Investigate Climate Change

Lecture 67 Exercise - LM Notebook - Wellness Habits

Lecture 68 Exercise - The future of work and automation

Lecture 69 Exercise - Mental Health in the Digital Age

Section 12: Important! If you value the effort and added value of this course

Lecture 70 About rating this course on Udemy

Section 13: AI Integrated into Smartphones and Generative AI Mobile Apps

Lecture 71 Introduction and Key Benefits of Mobile AI

Lecture 72 Native Assistants that use AI

Lecture 73 Generative AI in Mobile Apps

Lecture 74 AI in Messaging - WhatsApp AI Assistant/Meta AI

Lecture 75 Mobile-Exclusive Practical Examples

Section 14: Various Uses of Generative AI

Lecture 76 Writing Assistants

Lecture 77 Speech to Text (AI-Powered Automatic Transcription)

Lecture 78 Analysis and Generation of the Human Body with AI

Lecture 79 Text/Document Translation

Lecture 80 Subtitle Translation

Lecture 81 AI-Generated Presentations

Section 15: Create/Edit Audio with AI

Lecture 82 Voice Cloning

Lecture 83 Text to Speech (TTS)

Lecture 84 Translation

Lecture 85 Translation - Part 2

Lecture 86 Sound Generation (SFX)

Lecture 87 Music Generation

Lecture 88 Music Generation - Part 2

Lecture 89 Audio Editors/Enhancers

Section 16: AI Image Generation

Lecture 90 Free AIs with Higher Usage Limits

Lecture 91 Freemium Tools with Low Daily Usage Limits.

Lecture 92 Freemium Tools with Low Daily Usage Limits - Part 2

Lecture 93 Other Tools that require payment

Lecture 94 Open Source LLMs.

Lecture 95 Using Open Source with External Resources

Lecture 96 Image Generation with Integrated Quality Text

Lecture 97 Other Similar or Related Tools and Features

Lecture 98 Edited Generation of Images

Section 17: Image Editing and Enhancement with AI

Lecture 99 AI Image Enhancers

Lecture 100 Generative Fill (inpainting)

Lecture 101 Delete/Replace Backgrounds

Lecture 102 Scale Images

Lecture 103 Outpainting (uncrop)

Lecture 104 Other Tools and Various Functionalities

Section 18: Video Creation with AI

Lecture 105 PikaLabs AI (GIF, 2 seconds)

Lecture 106 Wan AI

Lecture 107 Google Veo

Lecture 108 VideoGen

Lecture 109 Kling AI

Lecture 110 Hailuo AI

Lecture 111 Pixverse AI

Lecture 112 Open Source - ComfyUI and Models

Lecture 113 Other Tools

Lecture 114 Other Tools - Part 2

Lecture 115 The Future of Video Generation: Feature Films, When?

Section 19: AI Video Editing

Lecture 116 ClipChamp

Lecture 117 Capcut

Lecture 118 AI Studios

Lecture 119 Vizard AI

Lecture 120 Fotor

Lecture 121 Filmora

Lecture 122 Pictory

Lecture 123 Vimeo and Kapwing

Lecture 124 Vidnoz

Lecture 125 Descript

Lecture 126 Veed.io and Flixier

Lecture 127 Other Payment tools

Lecture 128 Other Mobile Apps

Section 20: Generation of Virtual Avatars with AI

Lecture 129 Top Tools for Creating Avatars with AI

Lecture 130 Top Tools for Creating Avatars with AI - Part 2

Lecture 131 Other Tools Mobile, Desktop and Open Source.

Section 21: Multimodal Tools

Lecture 132 Giz AI

Lecture 133 AI Studio and Vizard AI

Lecture 134 Wondershare Virbo and Fotor

Lecture 135 Capcut

Lecture 136 Descript

Lecture 137 Kreado AI

Lecture 138 Paddle Paddle and Other Open Source Projects

Lecture 139 Other Multimodal Tools

Section 22: The New Art and its Dark Side

Lecture 140 Reflective Class: The New Art and Its Dark Side. Doubt as a Shield.

Section 23: RPA Combined with Generative AI

Lecture 141 Desktop Software and Examples

Lecture 142 Web software with API connections.

Lecture 143 Mobile Software

Lecture 144 RPA Desktop vs Web

Section 24: Free vs Paid Options

Lecture 145 Cómo usar la IA Generativa GRATIS para cada obtener los Mejores Resultados

Lecture 146 ChatGPT Plus vs Gemini Advance vs Copilot Pro

Section 25: The Future of Generative AI

Lecture 147 Current Limitations and Expected Evolution of Generative AI

Lecture 148 Generative AI and Augmented Reality: Transforming Our Interaction

Lecture 149 Generative AI in Virtual Reality

Lecture 150 Strategies and Resources to Discover New Tools and Techniques

Lecture 151 The Importance of Adaptability and Continuous Learning

Lecture 152 Reflections on the Impact on Employment and Future Skills.

Lecture 153 General Artificial Intelligence and the Technological Singularity.

Section 26: Conclusion / Additional Content

Lecture 154 Conclusion

Lecture 155 If you value this course and would like to contribute more with donations

Professionals looking to enhance their career by learning cutting-edge skills,Entrepreneurs looking to develop and manage business models using Generative AI.,Proactive students looking to use AI to increase their productivity and efficiency.,Anyone who wants to use AI to unleash their creativity and boost their productivity,Anyone who wants to understand and master the use of Generative Artificial Intelligence,Anyone who wants to learn about Prompt Engineering,Anyone who wants to install Open Source LLMs locally,Anyone who wants to build AI-assisted applications