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What a wonderful time to be alive. And there's never been a better time to learn about generative AI, especially elements of AI such as his ChatGPT. Many people are interested in this field, but some need more knowledge on how to get there.
This blog provides a list of free courses from trusted educational institutions such as Harvard University, IBM, and DeepLearning.AI.
Let's get started.
Link: Harvard – Introduction to AI with Python
This is a 7-week, self-paced course that teaches you how to use machine learning in Python for artificial intelligence. In this course, you will learn about various concepts and algorithms of modern artificial intelligence. We'll take a closer look at real-world use cases such as handwriting recognition and machine translation.
Not only will you learn about it, but you will also have the opportunity to actually work on the project. This allows you to apply theory-based knowledge and how it applies to different aspects of machine learning and AI and integrate them. Your own Python program.
By the end of the course, you will have vast knowledge of the libraries used in machine learning and the principles of artificial intelligence, allowing you to build your own intelligent systems.
Link: IBM – AI for everyone: Master the basics
AI is everywhere and everyone is talking about it. If you don't know much about it, this course is for you. In this course, you will learn the basics of artificial intelligence, as well as its applications and key concepts such as machine learning, deep learning, and neural networks.
We will also delve into the ethical concerns surrounding AI, which is a very popular topic at the moment. Based on the knowledge gained in this course, you will also get expert advice on starting a new career in AI.
Link: Linux Foundation – Fundamentals of Data and AI
Linux is an operating system. This course, offered by Linux, provides an introduction to the fundamentals of artificial intelligence and the Linux Foundation AI & Data project ecosystem. This is his 10-week course that anyone interested in AI, regardless of their professional background or level of technical knowledge, can learn at their own pace.
This course provides an entry point into the Linux Foundation AI and data ecosystem related to open source tools to continue developing new data and AI skills. As mentioned earlier, this course is beneficial for people from various industries such as finance, manufacturing, etc.
This course will enable you to explore the different career options available in the AI technology family.
Link: DeepLearning – Fine-tuning language models at scale
Some of you may already have sufficient knowledge based on AI and large-scale language models (LLM) and are looking to perfect your skills or learn something new. yeah. In this course powered by DeepLearning.AI, he will learn the basics of LLM fine-tuning in a short 1-hour course.
Learn how fine-tuning differs from prompt engineering, when to use both, gain real-world experience using real data sets, and how you can apply these tools and techniques to your own projects. Learn about.
If you are familiar with the Python language and have a good understanding of deep learning frameworks such as PyTorch and fine-tuning applications, this course is for you.
Link: Artificial Intelligence Project
When it comes to the world of technology, there are lots of great resources to learn and develop new skills. However, the important thing to remember is that you need to apply these skills in a real-life scenario, i.e. in the form of a project.
This course is designed to help learners implement artificial intelligence solutions and models to problems. Learn about artificial neural networks (ANN), time series forecasting, chatbots, and more.
This blog is aimed at beginners in the world of AI, but it is not limited to just beginners. If you want to hone or adapt your current skills, you can kickstart them with these free courses without spending a dime.
Nisha Arya I'm a data scientist, freelance technical writer, editor and community manager at KDnuggets. She has a particular interest in providing advice and tutorials on careers in data science, as well as theory-based knowledge about data science. Nisha covers a wide range of topics and is interested in exploring the different ways in which artificial intelligence can benefit human longevity. An avid learner, Nisha aims to expand her technology knowledge and writing skills while helping to mentor others.
