Being involved in the ever-changing domain of artificial intelligence (AI) and its technologies is rather challenging and demanding. However, developing your expertise and learning new concepts and techniques may be necessary due to the increasing demand for AI in practice. Fortunately, many resources offer tutorials on creating various projects that contribute to the improvement of one’s skills. In this respect, it is possible to find AI tutorials dealing with machine learning, computer vision, natural language processing, robotics, and other AI branches.
Choosing AI Tutorials
Choosing AI tutorials is not an easy task to accomplish. Thus, before starting learning new skills, it would be reasonable to consider certain criteria, which will make it easier for you to find the right tutorials for you. Among others, the following criteria should be taken into consideration:
Tutorials for beginners: If you are a novice in the domain of AI, it is important to look for beginner-friendly tutorials. Such tutorials usually include a lot of information concerning AI and provide a good basis for further development in this sphere.
Tutorials that are based on projects: Project-based tutorials are the ones that allow learners to apply theoretical knowledge in practice. Therefore, such tutorials are worth considering when choosing tutorials for yourself.
Industry-oriented tutorials: In case you want to develop your expertise in a certain industry, you may try tutorials for that particular field, e.g. AI for marketing, AI for finance, etc.
Popular AI Resources
Many resources provide tutorials, courses, lessons, and other useful materials that facilitate learning processes in AI. Among others, the following resources deserve attention as they contain valuable materials:
Coursera: It is well-known that Coursera is a platform where one may find many courses on various topics. Among the offered courses, there are many AI-related courses that deal with machine learning, deep learning, and other AI concepts.
edX: Being another widely-used platform, it contains courses that focus on AI-related aspects. Many courses are offered by renowned universities, such as MIT and Microsoft.
Udemy: It is known that this resource offers plenty of courses, lessons, and even tutorials that teach students new things.
Kaggle: Being a popular platform among data scientists, it includes plenty of tutorials that discuss issues associated with data science and machine learning.
AI Tutorials for Beginners
Among various AI tutorials, there are many that cater to beginners and are intended for novices in AI. Below are several tutorials that will help you learn AI.
Python for Data Science: DataCamp offers a tutorial that introduces beginners to basic notions related to Python programming and data science.
Machine Learning with Scikit-Learn: It is another good tutorial, which explains how to use scikit-learn library for building machine learning models.
Natural Language Processing with NLTK: The tutorial that discusses basics of working with natural languages.
Advanced AI Tutorials
For those who have already learned basic concepts of AI and are able to implement their knowledge in practice, advanced tutorials are recommended to use. Below are listed several tutorials that cater to this category of people:
Deep Learning with TensorFlow: This tutorial covers deep learning basics, explaining what are neural networks and how to work with them.
Computer Vision with OpenCV: The tutorial describes basic concepts of computer vision, discussing different approaches towards working with pictures.
Robotics with ROS: This tutorial is oriented on teaching users how to work with robots, i.e. robot’s arms and sensors, etc.
AI Projects to Try Out
Working on certain AI projects is one of the most productive ways to learn this domain. There are numerous topics to choose from; therefore, one can easily find interesting topics to develop projects. Some examples are as follows:
Chatbot: Developing a chatbot is one of the easiest tasks to perform, especially when one uses such resources as Dialogflow or Rasa. The basic concepts of natural language processing and machine learning can be applied when creating this bot.
Image Classification: It involves building a classifier for images. In this case, TensorFlow or PyTorch should be used to create a classifier that will classify images.
Recommendation System: Building a recommendation system based on collaborative filtering and machine learning principles should be regarded as another interesting project to develop. To this end, Scikit-Learn and TensorFlow could be used.
Conclusion
To conclude, AI tutorials are an excellent source to learn AI and develop new skills in this area. There are many resources to learn AI and many tutorials to use; thus, finding tutorials that are helpful for you is not complicated at all.
