Top Online Courses To Learn Artificial Intelligence Quickly
One of the inventions that revolutionized the world is AI. Self-driving cars, recommendation systems, drones, and others – everything today works because of AI. As for students, learning AI is useful in many aspects as it opens numerous career paths. There are many interesting topics, such as computer vision, natural language processing, robotics, etc., that a person may want to learn and develop in. However, the best way to learn about AI would be to attend a course online.
The aim of this blog post is to introduce readers to the best online courses for fast learning of AI and explain some tips to use the acquired knowledge productively. Links to all mentioned courses are provided at the end for everyone who would like to learn AI online.
Courses
Course 1: AI For Everyone
Platform: Coursera
Course link: https://www.coursera.org/learn/ai-for-everyone
This is a good starting point for people new to AI. The instructor, Andrew Ng, explains how machine learning, neural networks, and AI influence businesses and society, introduces the main AI applications, and helps learners recognize AI opportunities in their own lives.
Interactive Tip: For each completed lesson think of an AI opportunity in your life.
Course 2: Machine Learning by Stanford University
Platform: Coursera
Course link: https://www.coursera.org/learn/machine-learning
For students, who would like to learn about AI deeper, there is a course of this topic taught by the professor of Stanford University. The course covers supervised and unsupervised learning, different algorithms, and neural networks. It is also equipped with practical tasks with programming (Octave/MatLab).
Tip: Try some tasks like predicting prices of houses or recognizing pictures.
Course 3: Deep Learning Specialization
Platform: Coursera
Course link: https://www.coursera.org/specializations/deep-learning
This specialization introduces students to neural networks, deep learning, and convolutional and sequence models. It includes projects implemented in Python with TensorFlow.
Interactive Tip: Start with creating a picture classifier.
Course 4: Artificial Intelligence Nanodegree
Platform: Udacity
Course link: https://www.udacity.com/course/artificial-intelligence-nanodegree-nd889
It is one of the most detailed nanodegrees. Students will acquire knowledge about basics of artificial intelligence and its elements such as search algorithms, probabilities, logic, and machine learning. As for projects, they require from students to create AI solutions in game development, chatbots, and autonomous vehicles.
Tip: Write down every stage of creating projects and analyze possible improvements.
Course 5: AI Programming with Python Nanodegree
Platform: Udacity
Course link: https://www.udacity.com/course/ai-programming-python-nanodegree-nd089
The main task of this course is teaching students to write programs using Python. It covers libraries for data analysis and machine learning. Also, students will have an opportunity to practice implementing hands-on projects on practical cases.
Interactive Tip: Use knowledge obtained during the course to create projects for predicting datasets with Python.
Benefits for Students Upon Completion
Students completing courses will be able to:
– Know basic principles of AI algorithms
– Learn to program in Python and TensorFlow
– Have project experiences to enrich portfolio
– Solve different problems with data
– Get a certificate that will help in finding a job
Making the Online Learning Interactive
While participating in a course on AI students should:
– Take notes about algorithms and models
– Implement small projects on AI
– Communicate in online communities with peers and exchange opinions
– Learn from mistakes and improve projects
Application of Lessons to Everyday Practice
It is recommended spending 1 to 2 hours for doing exercises, implementing models, and creating projects. Students should work with datasets to understand algorithms better. Moreover, it is necessary to keep a record of process and mistakes made during work. It is useful to discuss projects with fellow students and analyze each other’s code.
Impact on Students
Students will be able to discover the following thanks to AI learning:
– Improvements in problem-solving abilities
– Skills of creating AI models
– More confidence in work with algorithms and data
– Preparedness for future research projects, internships, and much more
Conclusion
There are a lot of different areas of interest in AI that can be discovered by students eager to get useful skills. All mentioned courses provide an opportunity to take benefit from projects and useful materials. Moreover, there are helpful tips that students may follow to improve their knowledge and skills in this field. Choose a course, apply lessons daily, and focus on projects.
