Alveena Ahmad
A wonderful moment to be alive. There is no better moment than the present to learn about ChatGPT and other Generative AI components! Although a lot of people are interested in the field, some still need more information on how to pursue it.
You can find a list of free courses from reputable organizations like IBM, Harvard, DeepLearning.AI, and more on this blog.
Now let’s get started.
1. Introduction to AI with Python (Harvard)
This is a seven-week, self-paced course that teaches you how to use Python machine learning for artificial intelligence. You will study the various ideas and algorithms of contemporary artificial intelligence in this course. You will delve into practical use cases like machine translation and handwriting recognition.
You will not only gain knowledge about it, but you will also have the chance to work directly on projects that will enable you to apply theory-based knowledge to various facets of machine learning and artificial intelligence, all of which you can incorporate into your own Python program.
You will be able to create your own intelligent system by the end of the course with a vast understanding of artificial intelligence concepts and machine learning libraries.
Link: Harvard – Introduction to AI with Python
2. Data and AI Fundamentals (Linux)
An overview of the Linux Foundation AI & Data projects ecosystem and the principles of artificial intelligence will be covered in this course, which covers the Linux operating system. Anybody with an interest in AI, regardless of professional background or technical proficiency, can enroll in this 10-week, self-paced course.
You will get access to the Linux Foundation AI & Data ecosystem through this course, which is important for open-source tools to keep learning new data and AI techniques. As previously stated, anyone from a variety of industries, including manufacturing, finance, and more, can benefit from this course.
You will be able to see the various career options within the AI technology family with this course.
Link: Linux Foundation – Data and AI Fundamentals
3. AI for Everyone: Master the Basics (IBM)
AI is pervasive and a hot topic right now. And this course is for you if you don’t know a lot about it. You will learn the fundamentals of artificial intelligence in this course, along with its applications and important ideas like machine learning, deep learning, and neural networks.
You will also delve into the ethical issues that surround artificial intelligence, which is a hot topic right now. Along with the knowledge you gain from this course, you will also get professional guidance on how to launch a new AI career.
Link: IBM – AI for Everyone: Master the Basics
4. Artificial Intelligence Projects
There are many excellent resources available in the tech industry to help you learn and acquire new skills. But the most crucial thing to keep in mind is that these abilities must be used in projects that simulate real-world situations.
The purpose of this course is to assist students in applying artificial intelligence models and solutions to problems. A variety of topics will be covered, including chatbots, time series forecasting, and artificial neural networks (ANNs).
Link: Artificial Intelligence Projects
5. Fine Tuning Large Language Models (DeepLearning.AI)
Some of you may be interested in expanding your knowledge or learning something new, while others may already have a solid understanding of AI and Large Language Models (LLMs). This Deep Learning course will cover the principles of optimizing an LLM in a brief one-hour course.
Along with learning the differences between prompt engineering and finetuning and when to use each, you will also gain hands-on experience with real data sets and learn how to apply these tools and techniques to your own projects.
This course is appropriate for you if you are proficient in Python, have a solid understanding of deep learning frameworks like PyTorch, and know how to apply fine-tuning.
Conclusion
Although it is targeted at beginners in the field of artificial intelligence, this blog is not just for them. These FREE courses can help you get started without costing you a dime if you want to improve or adjust your current skills.
