9 Free Courses for Beginners to Learn AI

If you want to dig deeper into AI and expand your knowledge, there are plenty of free online courses available.

In this article, we explore nine incredible courses that offer incredible insights into different aspects of AI. Whether you're a beginner looking for a beginner's referral or an experienced practitioner with the aim of increasing expertise, these courses cover a wide range of topics.

Find everything from AI basics to advanced machine learning technology. So, jump in immediately and discover these exciting learning opportunities!

#1 – Anyone Google AI – Google (EDX)

Have you ever wanted to understand what AI is, without the need for a background in computer science or mathematics? Well, everyone is covered by a course called AI. This course will dive into the world of AI and machine learning, unlocking all the hype and reach the heart of the problem.

This course is designed for absolutely anyone! You don't need any prior knowledge or programming skills to participate. Whether you're a complete beginner or coming from a non-technical background, “AI for neeby” is here to make AI accessible and understandable for everyone.

You can get the course here.

#2 – Introducing CS50 Artificial Intelligence Using Python (EDX)

Why not explore the fascinating world of artificial intelligence (AI) and its basic concepts? Check out our introduction to CS50, artificial intelligence using Python! This course will embark on a journey through concepts and algorithms that form the backbone of modern AI.

From gameplay engines to handwritten recognition and machine translation, this course covers everything. We'll explore the ideas and theories that drive these amazing technologies. This course is accessible both on the Harvard website and on the EDX platform, providing flexibility in your learning journey. Get ready to embark on an exciting AI adventure with an introduction to CS50's artificial intelligence using Python.

You can get the course here.

#3 – AI for everyone -deeplearning.ai (coursera)

AI is no longer just engineers! If you want to be able to leverage the power of AI across your organization, this is a course you need to recommend to everyone, especially non-technical colleagues.

This course uncovers the meaning behind popular AI terms such as neural networks, machine learning, deep learning, and data science. It gives you a realistic understanding of what AI can and cannot do. Additionally, you will learn how to identify opportunities to apply AI within your own organization, opening the door to innovation.

But that's not all! You can also experience what it's like to build machine learning and data science projects. This course also explains if you want to work with your AI team or develop your company's AI strategy. It will help you dig into the ethical and social debates surrounding AI and navigate this important aspect of technology.

You can get the course here.

#4 – Learn the basics of AI (artificial intelligence) – Udemy

This course explores a wide range of topics that provide a comprehensive understanding of artificial intelligence (AI). It tells us what artificial intelligence is, the evolution of artificial intelligence, the types of artificial intelligence, the current and future applications of AI, and how AI is transforming the way we work.

This course features a solid foundation for AI, allowing you to grasp its concepts, understand its historical background, and imagine its future meaning. Get ready to embark on this enlightening journey into the world of AI

You can get the course here.

#5 – Introducing Artificial Intelligence – IBM (coursera)

This course offers an exciting introduction to Artificial Intelligence (AI). Explore real applications, learn important concepts, and gain a solid understanding of AI. Beyond the basics, this course covers important topics such as ethics, bias and job market impact. I also have hands-on experience in mini projects to see the AI working. Designed by anyone, regardless of their technical background, this course is perfect for those interested in AI. Additionally, once you complete your IT, you will be counted into a variety of programs, including IBM Applied AI Professional certificates.

You can get the course here.

#6 – Introducing Artificial Intelligence – udacity

Artificial intelligence (AI) has been an area that has existed for a while, but it is far from static. This is a dynamic and evolving field that continues to push boundaries and open up new possibilities. This course will explore the basics of modern AI. The field of AI is constantly evolving, and this course will showcase the vast opportunities ahead, while ensuring that it is fundamental.

You can get the course here.

#7 – IBM Applied AI -IBM (Coursera)

This course will give you a solid understanding of AI. Learn the definition of AI and explore its wide range of applications and use cases. It's easy to understand and understand terms such as machine learning, deep learning, neural networks, and more.

You will also acquire practical skills in AI development. Discover how to create AI chatbots and virtual assistants without programming knowledge. Imagine you can easily deploy your chatbot to your website.

Additionally, we'll delve into building AI-powered solutions using IBM Watson AI Services, APIs, and Python. Don't worry if you're not an expert coder – the course guides you through the process with the minimum required coding. You can gain practical experience in developing custom image classification models using Python, OpenCV, and Watson. Models can be deployed to the cloud for real use.

By the end of this course you will not only understand the core concepts of AI, but also have practical skills in creating AI chatbots, developing AI-powered solutions, and applying computer vision technology.

You can get the course here.

#8 – Data Science: Machine Learning – Harvard University

In this course you will learn normalization by building popular machine learning algorithms, principal component analysis, and film recommendation systems.

Learn about training data and how to use a set of data to discover potentially predictive relationships. Building a film recommendation system allows you to learn how to train algorithms using training data and predict future dataset outcomes. You will also learn about overtraining and techniques to avoid counter-verification and other such things. All of these skills are fundamental to machine learning.

You can get the course here.

#9 – Specialization in Machine Learning – Deep Learning + Stanford University (Coursera)

Machine Learning Specialization, a collaboration between Deeplearning.ai and Stanford Online, is a beginner's program that teaches the basics of machine learning and how to apply them to real-world AI applications.

Taught by the well-known AI visionary Andrew Ng, this updated three course specialization is based on his highly acclaimed machine learning courses, photographed by millions of learners around the world. It covers a wide range of topics, including supervised learning, unsupervised learning, and best practices used in Silicon Valley for AI and machine learning innovation.

Complete this specialization will allow you to gain a deeper understanding of key concepts, develop practical skills, and effectively apply machine learning to complex real-world problems. Whether you're entering the AI field or building a career in machine learning, machine learning specialization is the perfect starting point for your journey.

You can get the course here.

Bonus course

#10 – Artificial Intelligence: Prepare your career for ai-udemy

This course will give you valuable insights into various aspects of AI. You can get a glimpse of what you learn. Educate yourself about AI, upgrade your AI career, invest in the AI-first economy, use AI responsibly and ethically, and adapt to what comes next.

By the end of this course, you will have the knowledge and tools to educate yourself about AI, upgrade your career in AI, invest wisely in the AI-first economy, use AI responsibly and ethically, and adapt to the evolving landscape of AI. Be prepared to empower success in an AI-driven world.

You can get the course here.

Conclusion

These 9 Free Courses + Bonus Courses offer a great opportunity for beginners to explore the world of artificial intelligence (AI) and expand their knowledge. From AI fundamentals to building practical applications and AI-powered solutions, these courses cover a wide range of topics.

Gain insights into popular machine learning algorithms, deep learning techniques, neural networks, and real-world usage. Additionally, these courses address important considerations such as AI ethics, bias and social impact. We also provide guidance on learning AI, helping you advance your career and navigate the evolving AI landscape.

Accessible to learners of all levels, these courses offer a fascinating learning experience. Start AI learning now and open the door to a world of opportunity.

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