Get started on a $22,000 a year job by learning AI in 2023. Check out these 9 free AI courses to help you become an AI developer.
This article will show you the best free courses for 2023.”
Start a new career without spending money. Find out about the best free courses to help you become an AI developer.
Earning $22,000 annually without spending too much on private college seems like a dream, right? In today’s era, where AI is replacing jobs, a huge salary package seems impossible.
However, AI is predicted to replace 300 million full-time jobs in the next three years. Many MNCs have already started replacing employees with AI. Yet, this same AI can unlock your fortune.
According to a Global Artificial Intelligence study, by 2030, AI’s share in the global economy will be worth $15.7 trillion. Tech giants like Amazon, Google, Nvidia, and Intel are hunting for AI talents because it’s currently the most in-demand skill-based industry.
Although there’s a shortage of companies hiring in this field, there’s no sector where AI experts or AI developers are not in demand. Hence, companies offer huge salaries even at the entry-level.
If you want to build your career in this future industry, this article is for you. Here, we will discuss the eleven best free courses to become an AI developer in 2023.
Before joining these courses, it’s essential to have basic knowledge about mathematics and Python language. Mathematics is fundamental in this industry, so you must revise linear algebra, matrices, determinants, multiplication, eigenvalues, eigenvectors, and statistics.
You can find all these mathematical concepts summarized in Jones’s YouTube playlist. Python is the most widely used programming language for machine learning, data science, and other computer-based programs.
Knowledge of Python is a must to grab AI-related jobs. You can find a free Python course on the freeCodeCamp YouTube channel.
Once you are comfortable with Python, you can move forward to Python libraries, which are different coding modules used to make AI and machine learning-related tasks easier.
You don’t have to learn all at once, but you must know at least three essential libraries: Numpy, Pandas, and Matplotlib. Their learning material is also available on the freeCodeCamp YouTube channel.
Now we come to the most important segment: machine learning. It is one of the most demanding job profiles in developed countries like the US and Europe, with a starting salary package of $20,000 to $38,000.
Machine learning is similar to teaching a child new things through images, text, and numbers. For example, parents use picture books to teach about dogs and cats.
After seeing those images, the child’s mind stores them, and the next time the child sees a dog, he recognizes it. Similarly, our mind has its algorithm, but it cannot identify or tell anything unless the data related to it is available in its algorithm.
In machine learning, you are taught how to train the algorithm. Although many universities offer machine learning-related courses, you can find a full free course on the Take with Tim YouTube channel.
This course includes methods like supervised learning, reinforcement learning, linear regression, k-nearest neighbors, support vector machines, and unsupervised learning. At the end of the course, you will get a demo of how you can build a happy birthday game using these methods.
Introduction to AI with Python
After all the basic courses, it’s time for AI advanced courses. Harvard University has designed a course, “CS50’s Introduction to Artificial Intelligence with Python,” available for free on edX.
However, if you want certification, you will have to pay a fee. In this course, a Harvard University professor provides complete detailed knowledge of how technology like game playing, engineers, handwriting recovery, fashion, and machine translation is built and how it works.
This course is beneficial for those who seriously want to make a long-term career in this field.
The next course is the TensorFlow Framework, a machine learning and AI model-based short course launched by Google. In this course, you will learn about Keras deep neural networks, validating sets, training sets, test matches, optimizers, and regression and classification.
Most companies are currently preparing their email and AI models on this framework, so this course can definitely help you in the job market.
AI for Everyone
If you are a non-technical learner who wants to know about AI and upgrade your job profile, “AI for Everyone” is the best course for you. It is designed for non-technical learners and is available for free on Coursera.
In this course, you will learn from industry experts about the overview of AI’s impact on the world and the concepts of machine learning, deep planning, and neural networks. However, you must have knowledge of Python to join this course.
Machine Learning Specialization
In the machine learning part, you learned how AI is trained. Now, if you want to understand the depth of machine learning and learn how AI tools solve day-to-day work problems through machine learning, you should try the “Machine Learning Specialization” by Andrew Ng of Stanford University.
This course is available on Deep Learning AI.
Natural Language Processing
You may wonder how AI reads and understands text. The answer is Natural Language Processing (NLP), through which the algorithmic text language learns to read and understand.
You can learn this entire course for free from Stanford Online’s CS224 YouTube playlist. In this course, you will learn how to work under transformation boards, large language models, and chats between bird-like AI programs.
Learning Generative AI
Today, AI tools are used daily to increase production in call centers, media, research, finance, medical, and transport. Many people use tools like ChatGPT, a multi-task tool, but 90% of people do not know how to use this AI tool.
If you are interested in learning ChatGPT, you can join the “ChatGPT prompt engineering for developers” course on the Deep Learning AI site. This course will help you learn how to use ChatGPT for prompt engineering and how to use the ChatGPT API.
Google Generative AI Courses
If you find the ChatGPT course long and time-consuming or are only interested in AI courses related to your interest or profile, Google offers ten different short courses related to generative AI. You can learn about generative AI basic language models, world transformers, and image generation.
Have you ever thought about how AI-based virtual assistants like Alexa identify our mood tone and answer us accordingly? How do they recognize and respond to anger, happiness, and fear?
Deep learning, entirely different from machine learning, is one of the most demanded profiles because it allows AI to respond and reply to any situation like a human brain. You can find a free course on Coursera under the name “Deep Learning Specialization.”
These were the eleven free AI courses that you should learn in 2023 to become an AI developer, machine learning engineer, or data analyst in the AI industry. Non-technical users who do not want to change their profile can upgrade themselves through these AI courses and increase their salary package.
So, go and learn these courses.