AI technologies are currently transforming all spheres of life and have even invaded our personal space. Therefore, now is the time to learn AI skills if you are interested in mastering the technology. But where should you start? This article will come in handy for both beginners and professionals interested in expanding their knowledge.
How to Begin Your AI Training Journey
It’s critical to start with some basics if you want to learn AI successfully. Machine Learning is one of the core areas of artificial intelligence. Therefore, it would be helpful to know something about it. There is an impressive collection of Machine Learning Tutorials available online. The Machine Learning crash course offered by Google will introduce you to concepts like supervised and unsupervised learning, linear regression, and neural networks.
Moreover, you might be interested in checking out the Stanford University’s Machine Learning course taught by Andrew Ng. In fact, this tutorial provides a comprehensive introduction to the concept. Linear regression and logistic regression are among those concepts that are discussed thoroughly.
Advanced Tutorials and Case Studies for Studying AI
There is no denying that after you’ve studied the basics of artificial intelligence, it is time to dig deeper into the topic and study advanced theories. Deep Learning is another crucial concept in Machine Learning. Neural networks are used to analyze sophisticated datasets in Deep Learning projects. The Deep Learning Specialization tutorial designed by Andrew Ng is considered an excellent source of information about the topic.
Apart from this, it will also be worth studying the TensorFlow tutorials offered by Google. The tutorial will not only familiarize you with TensorFlow but also teach you how to create and train your own neural networks. You will learn to build a model, use Convolutional Neural Networks, and deploy them in the cloud.
Real-Life Cases of Application of Artificial Intelligence Technology
There is nothing more efficient than studying real-life cases of technology application if you need to get a grip on a new subject. As for AI, you can find a lot of useful tutorials related to real-life applications of the technology. For example, there are plenty of interesting tutorials provided by Google on AI technologies. They tell how different types of AI technologies work and influence different areas including healthcare, finance, and retail. Moreover, you could get to know how AI technologies are being used in Google’s medical diagnosis system.
The Harvard Business Review provides useful tutorials related to the adoption of AI in business and possible directions of further technological evolution. These case studies will give you an idea of how AI technologies work and what impact they have.
Tools and Technologies for Learning Artificial Intelligence
A variety of different tools are required for learning and working with AI technologies. First of all, one needs to master Python – one of the programming languages that is commonly used in developing machine learning algorithms. If you need some help with studying Python, you could consider taking part in the “Python for Everybody” tutorial provided by Coursera.
Another essential tool is TensorFlow. It is a powerful platform developed by Google and used in development of machine learning algorithms. There are plenty of tutorials by Google related to using TensorFlow.
Opportunities in Careers in Artificial Intelligence
The sphere of artificial intelligence is currently developing fast and offers many career opportunities for people with appropriate qualifications. If you are interested in learning about AI jobs and career development in the industry, feel free to consult the Indeed website.
Moreover, it might be helpful to study an article by Coursera, which tells how to become an AI engineer step by step.
Conclusion
Learning AI technology is a long-lasting process requiring a great deal of effort, persistence, and practice. I hope that this list of tutorials and case studies will assist you in understanding the technology better.
