We bring you a compilation 42 courses on artificial intelligence, learn what you need to know in depth. All of these courses are completely free, but in some cases you have the option to pay to obtain a certificate after completion.
We plan to divide the course into three different groups. One course on AI in general, one on ChatGPT, and one focused on machine learning. Almost all are in English, but some are in Spanish.
General AI course
Start with a small collection 16 courses on artificial intelligence in generalMost of them are introductory, to help you learn the uses and basic concepts. Many of these courses are a great starting point to begin learning how this technology works.
AI, business and the future of work: A free course from Lund University helps you understand the use of AI to efficiently improve your business or organization. Link: Coursera.org.
AI, Empathy, Ethics: A non-technical course that provides a general perspective on the benefits of AI and the ethical challenges it poses. Link: Coursera.org.
AI and Robotics: A Blessing or a Curse?: An introductory course in AI combined with robotics, a revolution with increasing social impact and creating new opportunities. Link: edx.org.
AI and the Illusion of Intelligence: Copenhagen Business School course. It’s not a technical look at where AI came from and where it’s going, or why you shouldn’t be afraid to expose it to your disadvantage. humans. Coursera.org.
AI applications in marketing and finance: A University of Pennsylvania course on AI-based applications that can improve customer experience and extend lifecycles. Link: Coursera.org.
AI essentials: A free course offered by Intel. Learn the basic and essential knowledge to understand and know artificial intelligence and conversation with artificial intelligence. Link: Coursera.org.
AI for everyone: mastering the basics: A free course from IBM that teaches the fundamentals of artificial intelligence by understanding applications and key concepts such as machine learning, deep learning, and neural networks. Link: edx.org.
AI Fundamentals for Non-Data Scientists: A free course at the University of Pennsylvania. In it, you’ll learn how machine learning is used to interpret big data and discuss some ways to create algorithms that work for your business. Link: Coursera.org.
Artificial Intelligence: Ethical and Social Issues: Course at Lund University. Over four weeks, explore the social and ethical dimensions of the increasing use of artificial intelligence technology. Link: Coursera.org.
Models and Limitations of Artificial Intelligence Algorithms: We live in an age dominated by algorithms. That is why it is important to know both existing models and their limitations in the real world. Link: Coursera.org.
Become an AI-powered engineer: ChatGPT, Github Copilot: Free, one-hour courses that teach you how to use artificial intelligence tools to help you code, including ChatGPT, GitHub Copilot, and Copilot Labs. Link: Udemy.com.
Business Impact of AI: The Full Course: A course for entrepreneurs who learn key strategies for adapting to AI and learn how to adapt by introducing AI into their business. Link: coursera.org
ChatGPT for Beginners: Sci-Fi Lighting by Dall-e: A course dedicated to ChatGPT, but also supported by DALL-E. His goal is to use both to improve creative writing and image making and aid story development. Link: Coursera.org.
Google AI for everyone: A free course created by Google to learn the fundamentals of artificial intelligence and machine learning. Everything is in English, but they will explain everything from scratch. Link: edx.org.
AI for everyone: A free, non-technical course that introduces the concepts of artificial intelligence. It teaches you to understand all the possibilities that artificial intelligence technology offers, what it can and cannot do. Link: Deeplearning.ai.
Language models at scale: Building foundational models from the ground up: A course that dives deep into the basic models of natural language processing (NLP). It is the technology of systems such as BERT, GPT, T5, and is the key to applications such as ChatGPT. Link: edx.org.
ChatGPT course
A series of 12 courses on ChatGPT. Learn how to improve your experience with prompts and artificial intelligence. Most focus on the free version, but some have a working knowledge of GPT-4. You can find it on Bing Chat or his paid ChatGPT Plus.
GPT Chat 101: Uses and Methods to Promote Your Business: Learn how to understand and effectively use ChatGPT in just 1.5 hours of free course. Also included are its features and benefits of generating various kinds of detailed texts. Link: Udemy.com.
ChatGPT in education: A small, free course to learn how to use ChatGPT with an educational focus, ask questions in natural language, and get answers that help you learn and learn. Link: Udemy.com.
ChatGPT for Beginners: The Ultimate Use Case for Everyone: A free course for beginners to learn all the uses of this tool from both a personal and business perspective. Link: Udemy.com.
ChatGPT for Beginners: Using AI for Market Research: Another guided project. Free for 1 hour only. For beginners, we’ll show you how to effectively use ChatGPT’s prompts to collect and analyze market data and summarize the results into a final report. Link: Coursera.org.
ChatGPT prompt engineering for developers: Free course Created by OpenAI itself. Now we’ll cover the basics of creating better prompts, the requests or commands you make to GPT to interact with AI. Link: Deeplearning.ai.
Build your own chatbot with ChatGPT API and React: A free course to learn how to create your own chat bot using the ChatGPT API. Learn how to access the API, configure it to your liking, and generate a bot to your liking. Link: Udemy.com.
ChatGPT Course – Basic Course from 0: A free course where you can learn the basics of ChatGPT from scratch, from how to register ChatGPT to how to use multiple functions. Link: Academiaseo.net.
Get started with the ChatGPT API: A course to learn how to use the ChatGPT API and integrate this artificial intelligence into your Nodejs project. Link: Udemy.com.
Overview of ChatGPT: Another introductory course to ChatGPT. Travel time is 1 or 2 hours. Learn how to use ChatGPT, customize it, and use it for productivity and chatbot creation. Link: edx.org.
ChatGPT Plan: Create a business plan with ChatGPT: A small free course of less than an hour to create a business plan, identify business characteristics and design helpful prompts using ChatGPT. Link: Udemy.com.
ChatGPT Rapid Engineering: A free course to learn how to design and improve prompt creation and optimization. This allows you to get more out of artificial intelligence tools. Link: Coursera.org.
Sell More on ChatGPT: Master the Revolution – The Basics: A free course focused on accelerating and improving your sales process by taking advantage of what ChatGPT has to offer. Link: Udemy.com.
machine learning course
I will continue with a series of 15 courses on machine learning, in English is called machine learning. These are techniques used to train artificial intelligence algorithms.
AI Skills for Engineers: Supervised Machine Learning: A free course that teaches the basics of machine learning so that you can successfully apply various machine learning-based algorithms to real-world problems using the Python scikit-learn toolbox. Link: edx.org.
Machine learning and data science: Free course at the Polytechnic University of Valencia. Learn how to evaluate data and extract knowledge from data using data analytics and machine learning techniques and tools. Link: edx.org.
IBM Machine Learning Professional Certificate: Develop hands-on skills in key areas of machine learning with a series of free courses taught by IBM. Link: Coursera.org.
Data Science: Machine Learning: A free course from Harvard University that serves as an introduction to machine learning techniques. Link: edx.org.
Introduction to machine learning on AWS: An introductory course in machine learning using Amazon Web Services, brought directly to you by Amazon. Link: Coursera.org.
Machine learning for everyone: A free course at the University of London. Learn all the fundamentals to master machine learning and its uses. Link: Coursera.org.
An introduction to machine learning for everyone: A three-module course from IBM that introduces everyone to machine learning and data science with a basic understanding of models. Link: Coursera.org.
Machine Learning with ChatGPT: Image Classification Model: This is a guided project to learn to develop and understand the features of ChatGPT, especially the ability to write code related to machine learning. Link: Coursera.org.
Machine learning predictive model: A course that teaches you the basics of machine learning and how to use Python to create prediction, regression, and classification models. Link: edx.org.
Specialized Program: Machine Learning: A free course for beginners to learn more about the basic concepts of AI and machine learning. Link: Coursera.org.
Specialized Program: Machine Learning: We have the same name, but we’re from the University of Washington. A hands-on course that teaches the fundamentals of machine learning. Link: Coursera.org.
Specialized Program: Deep Learning: A free course to become a machine learning expert. Learn the basics of deep learning to dig deeper into AI. Link: Coursera.org.
Specialized Program: Natural Language Processing: A free course to learn all the details related to natural language processing with artificial intelligence systems. Link: Coursera.org.
Random Forest: Classification and Regression: Machine Learning Course Using Random Forest Models. Learn how it works and build your own model. Link: Udemy.com.
Supervised Machine Learning: Regression and Classification: Starter courses in machine learning specialties. Learn how to build models in Python and how to build and train machine learning models. Link: Coursera.org.
Zataka Basics | 17 Free Online ChatGPT Courses and Tutorials to Improve Your Use of Prompts and Artificial Intelligence
