Mastering AI: 5 Free Courses and ChatGPT Journey from Novice to Expert
What a time to live. And what better time to learn about the elements of AI such as Generative AI, especially ChatGPT! Many people are interested in the area, but some need more information about how to get there.
This blog provides you a list of free courses from Harvard, IBM, DeepLearning.ai and other trusted institutes.
Introduction to AI with Python (Harvard)
This is a 7-week self-paced learning course to learn 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. You’ll dive deep into real use cases like handwriting recognition and machine translation.
Not only will you learn about it, but you will also get the opportunity to tackle projects that will allow you to apply theory-based knowledge and how it applies to different aspects of Machine Learning and AI and incorporate them into your work. 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 create your own intelligent systems.
AI for Everyone: Master the Basics (IBM)
AI is everywhere, and everyone is talking about it. And if you don’t know much about it – then this course is for you. In this course, you will master the fundamentals of Artificial Intelligence, as well as understand its applications and key concepts such as machine learning, deep learning, and neural networks.
You’ll also learn about the ethical concerns surrounding AI, which is a very popular topic at the moment. Along with the knowledge you gain from this course, you will also get expert advice on how to start a new career in AI.
Data and AI Fundamentals (Linux)
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 AI and Data Project ecosystem. This is a 10-week self-paced learning course that is suitable for anyone interested in AI, regardless of professional background and level of technical knowledge.
The course will provide you with entry into the Linux Foundation AI and Data ecosystem, relevant to open-source tools for developing new data and AI skills. As mentioned earlier, this course is beneficial for anyone who comes from a variety of industries such as finance, manufacturing and others.
With this course, you will be able to see the different career options available in the family of AI technologies.
Fine Tuning Large Language Models (DeepLearning.AI)
Some of you may already have good knowledge based on AI and Large Language Models (LLM) and you may be looking to improve your skills or learn something new. This course with DeepLearning.AI will introduce you to the fundamentals of improving LLM in a quick 1 hour course.
You’ll learn how finetuning differs from prompt engineering, and when to use both, as well as gain 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 and fine-tuning applications like PyTorch, this course is for you.
Artificial Intelligence Projects
When it comes to the world of technology, there are plenty 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 is designed to help learners solve problems and apply models of Artificial Intelligence. You will learn about artificial neural networks (ANN), time series forecasting, chatbots and much more.
Wrapping it up
This blog is for newcomers to the AI world, however, it is not limited to newcomers only. If you’re looking to brush up on your current skills or adapt your existing skills – these free courses can give you that kickstart without spending a penny!
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