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November 14, 2024
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5 Best Courses to Study AI Technologies for Students

Discover the top 5 courses for students to master AI technologies, covering essential skills and tools for a successful career in artificial intelligence

5 Best Courses to Study AI Technologies for Students

More and more companies are using artificial intelligence to make decisions and automate processes. Data Science specialists create such systems - they work with big data and machine learning models and develop artificial intelligence technologies.

We have collected courses on artificial intelligence, where students will get acquainted with the basics of data analysis, computer vision, and machine learning. During the training, students will complete simple projects and receive instructions on further development in the industry.

If you decide to take the course simultaneously with your studies in college, it can be quite difficult. You may not have enough time to complete all the assignments in college while you are taking the course. But do not worry because you can get help with the writing assignments that take the most time. For example, you can get assistance from a literature review service and use the time saved to study AI.

Top 5 Courses on Artificial Intelligence in 2024

  1. AI Python for Beginners from DeepLearning.AI. They offer first steps in Data Science and Python, as well as creating a simple AI prototype in a short period of time without programming skills.
  2. Fundamentals of Artificial Intelligence from NPTEL. Study the basics of artificial intelligence, its operating principles, and its structure at a theoretical level.
  3. Python & TensorFlow: Deep Dive into Machine Learning from Udemy. They offer learning the development of artificial intelligence from scratch in Python and TensorFlow, which can recognize user images.
  4. AI for Everyone from Coursera. Study the basics of artificial intelligence from scratch in six hours with the completion of four practical tasks and obtaining a final certificate.
  5. Intro to AI: A Beginner's Guide to Artificial Intelligence from Udemy. Express training in the basics of artificial intelligence includes a 2.5-hour video, nine sections, and 42 lectures.

These courses allow you to learn the basics of artificial intelligence and decide whether to go into this profession. They contain theoretical materials in video format, tests, and interactive tasks. You can take courses without having programming skills.

AI Python for Beginners – DeepLearning.AI

During the course, students, even without programming skills, will develop a simple neural network using Python. Over the course of 4 hours and 15 minutes, you will learn how to create machine vision systems, train neural networks to solve applied problems, and write code in Python. The course includes hands-on projects that will help you reinforce your learning.

  • Duration: 4 hours 15 minutes.
  • Format: video lectures, hands-on projects, code examples.
  • Access: after registration.
  • Entry threshold: from scratch, without programming skills.
  • Document of completion: none.

Fundamentals of Artificial Intelligence – NPTEL

It is a theoretical course that lasts 12 weeks and provides an exam. Students will get acquainted with the basics of artificial intelligence, its capabilities, and operating principles. The result is obtaining broad knowledge about artificial intelligence, machine learning, and neural networks.

  • Duration: 12 weeks.
  • Format: lectures, exam.
  • Access: after registration.
  • Entry threshold: from scratch.
  • Document of completion: certificate after passing an exam successfully.

Python & TensorFlow: Deep Dive into Machine Learning – Udemy

It is a short video course, after which students will create a hands-on image classification project. It is suitable for beginners in programming, but you need to have basic knowledge of Python syntax. The course will give you a profound understanding of AI and equip you with knowledge and tools to work with TensorFlow, Python, and machine learning.

  • Duration: 3 hours at your own pace.
  • Format: articles and videos.
  • Access: after registration.
  • Entry threshold: basic knowledge of Python is required.
  • Completion document: certificate.

AI for Everyone – Coursera

It is an online course taught by a teacher from DeepLearning.AI. At the end of the course, students will receive a certificate - it can be added to a personal LinkedIn profile or attached to a resume for presentation to an employer. The course is also suitable for business owners - they will learn how to create artificial intelligence for specific business tasks.

  • Duration: 3 weeks, 2 hours per week.
  • Format: video lectures, self-assessment tests, additional materials.
  • Access: after registration.
  • Entry threshold: from scratch.
  • Document of completion: certificate.

Intro to AI: A Beginner's Guide to Artificial Intelligence – Udemy

A course on the basics of artificial intelligence, computer vision, and machine learning for beginner programmers. The teachers are specialists from 365 Careers, the company that has educated over 3 million students! The course program includes high-quality animations to help learn AI concepts in a more engaging way.

  • Duration: 2-5 hours.
  • Format: video lectures, tests, additional materials.
  • Access: after registration.
  • Entry threshold: basic programming skills are required.
  • Document of completion: certificate.

Additional courses on artificial intelligence

We have selected theoretical and practical courses for those who want to learn more about artificial intelligence and understand the principles of its operation. They are suitable for students without programming skills, and you can take them at your own pace.

The courses offer structured information on computer vision, machine learning, and other aspects of AI.

Which AI course to choose

Artificial intelligence is becoming increasingly popular in various fields, including medicine, business, and banking. Specialists who can work with data and machine learning models design smart homes, predict the dynamics of market factors, create access control and management systems, calculate the credit rating of a bank client, and automate business processes.

When choosing educational resources, it is worth paying attention to the invited teachers, the format and schedule of training, the availability of homework, and a final certificate.

In any case, you will go right if you choose one of the courses we have presented in the article.

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