Programming is difficult as it is, but now having to compete with AI – things can be extremely difficult if you don’t adapt. Instead of being scared of the AI revolution, it’s highly recommended to keep up with technology. AI can’t do everything, and critical thinking is one of the examples. Therefore, as a programmer, you’re still of value, and with the help of AI, you can get more work done in a shorter time.
Thinking of AI as a helping tool, here are some of the best artificial intelligence courses that will help you take your programming to the next level!
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What is AI and how does it work?
Some people see AI as a tool that’s deleting jobs in many industries. However, AI isn’t as scary if you’re on the right side of it. This means you must keep up with technology to stay relevant in the industry. Besides your skillset, AI can be a great tool to help improve efficiency, accuracy, and productivity.
AI stands for artificial intelligence and it’s an open-source code that simulates human intelligence. It learns processes that humans do and it tries to simulate it with the help of information it “learns”. In simple terms, AI is an attempt to help machines have a similar or the same level of intelligence as humans.
If successful, this can have a huge impact on the way we do things, as it would help get things done faster, more precisely, and more efficiently. Right now, AI is already used in a variety of industries, including the finance and healthcare sectors, and it’s very popular in the programming industry. With the help of artificial intelligence, the solution can write code, streamline processes, and make things easier for developers by handling certain aspects of work for them.
So, why should you adapt and learn AI as a programmer?
AI can’t replace a skilled programmer, but it certainly can do simple programming tasks faster and better than a human at this point. That’s why it’s important to keep up with the AI, and instead of hating the change in the industry, use it to your advantage. Trust us, seeing changes in the industry is scary. Especially if you’re new at the job or aren’t certain of what the future holds.
But that’s one of the most important reasons why you should adapt and learn how to use AI as a software developer. Of course, you will still have to do a lot of work on your own, but you’ll get AI’s help to get the work done quicker. It’ll be as if you have a junior programmer who works with you on your projects. With that kind of help, you can have another set of hands and a pair of eyes to write better code and work on more projects at the same time.
Another big reason to learn how to use AI for programming is skill development. As a programmer, you can use your skills and the skills of AI in a variety of industries, filling the gaps at jobs you otherwise couldn’t handle on your own. While some believe AI is deleting jobs, it’s shaping the industry and if you learn how to use it to your advantage, you can get more work done.
How we select the best AI course for programming
The database of AI courses is increasing at a rapid speed, and while it would be extremely hard for us to test each one of them, our focus was on highly reputable course providers. These courts providers are known for providing some of the best courses on the market, including other fields outside of the AI. Therefore, while we’re being transparent, it’s important to note that we often update our articles whenever we come across a better or more appropriate pick, in this case, an AI course.
Therefore, down below, you can see a list of the best AI courses for programming that we currently have in TheSweetBits database of tested and checked courses.
Top artificial intelligence courses
We’re not talking about unknown courses that might not do much for you. Instead, we’re talking about certified and approved courses from the highest educational institutions, so you get the most accurate information up to date, so here’s what we’ve got for you.
If you’re just starting and don’t understand much about artificial intelligence, Google’s introduction to generative AI makes the ideal course. This course is frequently updated (3 months ago, at the time of writing) and it only lasts for 10 days. At the completion, you get a certificate, which you can use in your CV.
In Google’s course, you can learn paths and concepts you can utilize with the help of AI in programming. The information comes directly from the fundamentals of the language models used to build these AI concepts. Besides large language models, you can learn how other companies (such as Google) use AI to their advantage, you’ll learn more about Responsible AI use and how you can implement it in your work.
After that, you will have to pass an exam on these subjects by demonstrating understanding and skills. From there, Google will teach you how you can use this knowledge and pair it up with Google Cloud. While this course with 4 various paths is ideal for beginners, by the time you finish, you’ll know how to create advanced models and prototypes with the help of deep learning, but also how to customize open-source AI code.
If you’re a Python programmer and you’re a beginner, Microsoft’s course is the best place to get started. It introduces complex topics and it teaches it in a text-only way so you can go through 24 lessons in only 12 weeks. Besides learning the standard concepts behind AI technology, Microsoft takes things further by combining AI and Deep Learning to help you learn how AI processes data and how machine learning happens.
With this information, you’ll be able to grasp the concepts of artificial intelligence and artificial learning. From there, you can use alternative ways to approach AI to customize the open-source code to create your model, based on the two most popular core frameworks – TensorFlow and PyTorch.
The course is ideal for Python programmers, but you’ll also learn neural architectures that will show you how you can take advantage of AI for both images and text. The course will also cover less popular ways of approaching AI such as Genetic Algorithms and Multi-Agent Systems. While not many will use these approaches, Microsoft is diligent at covering the base of what’s behind the AI so you’re prepared to learn more and head in any specific direction you’d like.
If you’re a programmer with knowledge of Python language, CS50 is the right course that will introduce you to artificial intelligence with the help of Python. Just like every Harvard course, you can expect thorough lessons that will last for 7 weeks where you’ll dive right into the foundation of artificial intelligence.
With the in-course projects, you’ll learn how artificial intelligence works, and various bases, and even touch on machine learning and how it all can be combined. From other topics, people enrolled in the course will learn how to design artificially intelligent systems for various purposes.
The course touches on game engines, handwriting recognition, translation, and more. All of these principles and bases will help Python programmers understand what goes on “behind the scenes” to create or integrate AI models from scratch into systems. What’s even better is that Harvard’s CS50 course is free, but you can also get certified for a small price.
If you’re not an engineer and you’d like to learn how you can take advantage of your programming skills in combination with AI to fuel your business purposes, DeepLearning has the right course for you. The course goes further to explain common AI technology, including various models and principles. What’s great is that this course explains AI in a way even beginners will understand well.
Through various in-course projects, you’ll learn how to build AI projects that will help you understand realistic goals, and opportunities, learn ethical uses of AI, and how to build an AI model. The course also highlights the work within an AI team and strategy for an AI company, so you will most likely get ideas on how to apply the knowledge.
For visual learners, you’ll love examples of some of the biggest companies that took advantage of AI for business purposes, so you know exactly how to navigate AI within any business. DeepLearning course is free and it’s easy to apply to, so almost anyone can start straight away.
If artificial intelligence is hard to understand or if you’re new to programming, an introductory course to AI is a great place to start and that’s exactly what IBM offers.
What’s different about this course is that it still teaches the foundation of artificial intelligence, including deep learning, neural networks, and machine learning. However, it doesn’t feature any programming. Even though you’ll only learn everything about AI most simply, you’ll still learn how AI is used in industries.
This means that you’ll also learn about ethics, and jobs that AI does and can do, and you’ll even get a chance to do a mini AI project on your own. This is where you’ll demonstrate and apply the knowledge and skills you’ve learned in the course. The course comes from a reputable IBM company and it lasts for about 3 weeks.
Taking your programming skills to another level is possible and that’s what this course from IBM helps with. Besides basics and introduction to AI, this course focuses more on learning the knowledge and skills necessary to build and deploy your own AI models with the help of various libraries.
While this isn’t ideal for beginners, if you’re sure of your programming skills and would like to catch up with AI at the same level, this is the right course to take. Within the course, you’ll learn how machine learning with Python works in the AI world, how to scale machine learning, the connection between deep learning with the help of PyTorch, and learning models with TensorFlow. You’ll also need to complete in-course quizzes, assignments, and projects.
Programmers often learn better visually, so if you’re one of those programmers, a practical course that introduces you to AI by the University of Helsinki is a great choice. You will still learn to do almost anything within the AI’s limits through your projects, but you’ll learn all the skills and knowledge through real-life examples and methods.
The course starts with an introduction to an AI with real-time examples that are easy to understand. What’s significant about this course is that it also teaches about uncertainty and how machine learning and neural networks work and fit into the AI world.
Another thing that’s great for visual learners is that you’ll get to visualize and create a project you can use in real life. While this is an optional final step in the course, finishing it will give you a big advantage over students who don’t finish the optional task.
If you’re a big fan of math and want to learn how to use it in the AI world, KAIST’s AI math course is the right choice. In this 3-week course, you’ll learn how to use linear algebra for AI operations and combinations that will power certain AI models. On top of that, you’ll learn how to solve the digitalization problem of AI apps.
By the end of the course, you should know how to handle the basics behind AI apps that rely on linear algebra. You’ll even touch on the square matrix problem and various linearly independent situations
The course is free and lasts up to 8 hours, and the certificate is a paid option for students who would like to get certified, besides learning the knowledge. It’s one of the shortest courses but it covers all math uses in the AI apps, so you’ll know exactly how to handle such scenarios, besides using your Python knowledge for AI.
Whether you’re efficient in programming or you’re only getting started, looking down the road and focusing on AI is a great idea. It’s a part of the future and it’s getting interlinked with programming that is done behind the AI apps.
While AI apps are capable of doing a lot, as a programmer, you have to create custom models, connect AI tools with databases, and solve problems that might occur. If you are afraid of AI deleting programming jobs, these courses will teach you and show you how you can take advantage of your programming knowledge to focus on a completely new industry.