Artificial intelligence (AI) is one of the growing areas of technology due to its potential to transform the world. Given the possibilities ChatGPT has created, it’s amazing what innovations AI will bring in the future.
It’s a key component of many of the applications we use today. And it will become even more important in the future. According to Forbes, AI is expected to show an annual growth rate of 37.3% from 2023 to 2030. Therefore, studying AI technology will establish a career for future jobs.
Artificial Intelligence is a field concerned with enabling machines to learn from experience and adapt to new observations, just like humans do. It uses computer systems to perform tasks such as visual recognition, speech recognition, decision making, and translation between languages.
AI use cases span every industry. This revolutionary technology will impact most industries ranging from health (medical diagnostics), finance (fraud detection), e-commerce (demand forecasting), manufacturing (quality control) and transportation (route optimization). I guess.
There are many courses on the Internet for learning artificial intelligence, but due to the novelty, most of them are technical, even for programmers with many years of experience.
Fortunately, there are a growing number of online courses that cover everything from basics to advanced implementations. Here are some of the best online courses if you want to learn AI in 2023.
Elements of AI (University of Helsinki)
This is a completely free option offered through the University of Helsinki. This includes his two parts “Introduction to AI” and “Building AI”. Get started with what AI is and what it can do for you. The second course teaches you how to build AI algorithms.
This is a course for beginners who are just starting out. However, a basic knowledge of Python programming is useful for the AI building part.
This course includes modules on Machine Learning, Neural Networks, Artificial Intelligence Philosophy and Ethics, and Using Artificial Intelligence to Solve Problems.
Introduction to Artificial Intelligence by IBM
This course was created by IBM. This course explores use cases for AI and its concepts. This course can be completed individually or is part of a more detailed program such as the Applied AI Professional Certification Program.
This course is designed for those with no technical experience. You will also complete mini-projects to showcase your newly discovered AI skills.
artificial intelligence for business
This is a course by Kirill Eremenko and his team on how to solve real-world business problems with AI. If you are a curious business person who wants to know how AI can help your business, you should enroll in this course.
Complex topics of artificial intelligence and machine learning are presented in the best possible way without getting too technical. When it comes to social proof, the course is trusted by over 14,000 students with an average rating of 4.3.
Learn with Google AI
This newly launched resource is part of Google’s plan to broaden the understanding of AI among the general public. More content is being added over time, but it already includes a crash course in Machine Learning with TensorFlow (Google’s machine learning library).
The course begins with a basic introduction to machine learning. Next, we delved deeper into TensorFlow to design and train neural nets.
It’s designed to get people with no previous machine learning knowledge started quickly, people with some experience can pick modules they’re interested in, and machine learning experts can use it as an introduction to TensorFlow.
Stanford University – Machine Learning
The course is delivered through Coursera and taught by Andrew Ng, founder of Google Brain, Google’s deep learning research arm, and head of AI at Baidu.
This course covers a wide range of real-world machine learning implementations, from speech recognition to enhancing web search. We also did a deep technical dive into statistical topics such as linear regression, backpropagation “learning” with neural networks, and Matlab tutorials.
The entire course is free to study, but you also have the option to earn a paid certification. This certainly helps if you plan to use your understanding of AI to advance your career potential.
Introduction to Artificial Intelligence (Harvard University)
If you have experience with Python and are willing to dive straight into AI programming, you’ll love this course. This course teaches a theoretical framework while also providing practical experience in applying the techniques to work.
By the end of the course, you will be able to use machine learning as well as your own intelligent systems based on the AI principles taught in the course.
Digital Skills: Artificial Intelligence (Accenture)
This course is designed to give you a broad understanding of AI. It covers the past, present, and future of artificial intelligence, as well as interesting facts, trends, and insights about its use.
The course is divided into three sessions: Introduction to Artificial Intelligence, Artificial Intelligence in Industry, and Adapting Skills to Work with Artificial Intelligence.
This course explores the relationship between humans and AI and the predictive skills required to interact with AI technology. With this understanding, you can hone your skills and even adapt your career.
