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What a time to be alive. And what better time to learn about the elements of AI such as Generative AI, particularly ChatGPT than now! Many people are interested in the sector, but some need more knowledge on how to get there. 

This blog provides you with a list of FREE courses from trusted institutions such as Harvard, IBM, DeepLearning.AI, and more. 

Let’s get into it. 

Introduction to AI with Python (Harvard)

Link: Harvard - Introduction to AI with Python

This is a 7-week course, at self-paced learning to learn about using machine learning in Python for artificial intelligence. In this course, you will learn about the different concepts and algorithms of modern artificial intelligence. You will dive into real use cases such as handwriting recognition, and machine translation. 

Not only will you learn about it, but you will also have the opportunity to get hands-on with projects, which will allow you to apply the theory-based knowledge and how it applies to different aspects of machine learning and AI and incorporate them into your own Python program. 

By the end of the course, you will have immense knowledge of libraries used in machine learning and the principles of artificial intelligence, so that you can build your own intelligent system. 

AI for Everyone: Master the Basics (IBM)

Link: IBM - AI for Everyone: Master the Basics

AI is everywhere, and everybody is talking about it. And if you don’t know a lot about it - this course is for you. In this course, you will master the basics of Artificial Intelligence, as well as understand its applications and key concepts such as machine learning, deep learning and neural networks.

You will also dive into ethical concerns surrounding AI, which is a very popular topic at the moment. With the knowledge you receive from this course, you will also receive expert advice about starting a new career in AI. 

Data and AI Fundamentals (Linux)

Link: Linux Foundation - Data and AI Fundamentals

Linux is an operating system, and with this course that they provide, you will learn about the fundamentals of Artificial Intelligence as well as an overview of the Linux Foundation AI & Data projects ecosystem. This is a 10-week course, self-paced learning which is suited for anybody who has an interest in AI, regardless of the professional background and level of technical knowledge.

The course will offer you an entrance into the Linux Foundation AI & Data ecosystem, which is relevant for open-source tools to continue developing new data and AI skills. As mentioned prior, this course is beneficial to anyone who comes from a variety of industries such as finance, manufacturing, and more. 

With this course, you will be able to see the different career options that are available in the family of AI technologies. 

Fine Tuning Large Language Models (DeepLearning.AI)

Link: DeepLearning - Fine Tuning Large Language Models

Some of you may already have good knowledge based on AI and Large Language Models (LLMs) and may be looking into perfecting your skills or learning something new. This course with DeepLearning.AI will go through the fundamentals of fine tuning an LLM, in a quick 1-hour course.

You will learn about how finetuning differs from prompt engineering, and when to use both, as well as get practical experience using real data sets, and how you can apply these tools and techniques to your own projects. 

If you are familiar with the Python language and have a good understanding of deep learning frameworks such as PyTorch and the applications of fine-tuning, this course is for you. 

Artificial Intelligence Projects

Link: Artificial Intelligence Projects

When it comes to the tech world, there are a lot of great resources out there for you to learn and develop new skills. However, the important thing to remember is that you have to apply these skills in real-life scenarios - in the form of projects.

This course has been designed to help learners implement the solution and models of Artificial Intelligence to the problems. You will learn about Artificial Neural Networks (ANNs),  Time Series Forecasting, Chatbots, and more. 

Wrapping it up

This blog is aimed at newcomers to the AI world, however, it is not limited to newbies only. If you want to refine your current skills or adapt to your current ones - these FREE courses can give you that kickstart without having to spend a penny!
 
 

Nisha Arya is a data scientist, freelance technical writer, and an editor and community manager for KDnuggets. She is particularly interested in providing data science career advice or tutorials and theory-based knowledge around data science. Nisha covers a wide range of topics and wishes to explore the different ways artificial intelligence can benefit the longevity of human life. A keen learner, Nisha seeks to broaden her tech knowledge and writing skills, while helping guide others.