Image of DALLE 3
What a time to be alive. And what better time than now to learn about elements of ai, such as generative ai, in particular ChatGPT! Many people are interested in the sector, but some need more knowledge on how to get there.
This blog provides you a list of FREE courses from trusted institutions like Harvard, IBM, DeepLearning.ai, and more.
Let's get into it.
Link: Harvard – Introduction to ai with Python
This is a 7-week, self-paced course to learn how to use machine learning in Python for artificial intelligence. In this course, you will learn about the different concepts and algorithms of modern artificial intelligence. You'll dive into real use cases such as handwriting recognition and machine translation.
Not only will you learn about this, but you will also have the opportunity to participate in projects that will allow you to apply knowledge based on theory and how it applies to different aspects of machine learning and ai and incorporate it into your own Python program.
By the end of the course, you will have immense knowledge of the libraries used in machine learning and the principles of artificial intelligence, so that you can build your own intelligent system.
Link: ai-for-everyone-master-the-basics” rel=”noopener” target=”_blank”>IBM – ai for everyone: master the basics
ai is everywhere and everyone is talking about it. And if you don't know much 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.
It will also delve into the ethical concerns surrounding ai, which is a very popular topic right now. With the knowledge you receive from this course, you will also receive expert advice on how to start a new career in ai.
Link: ai-fundamentals” rel=”noopener” target=”_blank”>Linux Foundation: Data and artificial intelligence Fundamentals
Linux is an operating system and with this course they offer, you will learn about the fundamentals of artificial intelligence as well as an overview of the Linux Foundation's ecosystem of data and artificial intelligence projects. This is a 10-week, self-paced course suitable for anyone interested in ai, regardless of their professional background and level of technical knowledge.
The course will offer you an entry into the Linux Foundation's data and ai ecosystem, which is relevant for open source tools to continue developing new data and ai skills. As mentioned above, this course is beneficial for anyone coming from a variety of industries such as finance, manufacturing, and more.
With this course you will be able to see the different professional options that are available in the family of ai technologies.
Link: ai/short-courses/finetuning-large-language-models/” rel=”noopener” target=”_blank”>DeepLearning: fine-tuning large language models
Some of you may already have good knowledge based on ai and large language models (LLM) and are looking to hone your skills or learn something new. This course with DeepLearning.ai will look at the fundamentals of fine-tuning an LLM, in a quick 1-hour course.
You'll learn how fine tuning differs from rapid engineering and when to use both, as well as gain hands-on 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 like PyTorch and tuning applications, this course is for you.
Link: artificial intelligence Projects
When it comes to the world of technology, there are many great resources to learn and develop new skills. However, the important thing to remember is that you need to apply these skills in real-life scenarios, in the form of projects.
This course has been designed to help students implement artificial intelligence solutions and models to problems. You will learn about artificial neural networks (ANN), time series forecasting, chatbots, and more.
This blog is aimed at newcomers to the world of ai; However, it is not limited to beginners only. If you want to hone or adapt your current skills, these FREE courses can give you that boost without having to spend a dime!
nisha arya is a data scientist and freelance technical writer. She is particularly interested in providing professional data science advice or tutorials and theory-based data science insights. She also wants to explore the different ways in which artificial intelligence can benefit the longevity of human life. A great student looking to expand her technological knowledge and writing skills, while she helps guide others.