<img decoding="async" class="alignnone size-medium wp-image-174546" alt="5 free ai courses at Stanford” width=”100%” height=”100%” srcset=”https://technicalterrence.com/wp-content/uploads/2024/05/5-free-AI-courses-at-Stanford.png 300w, https://www.kdnuggets.com/wp-content/uploads/Wijaya_5_Free_Stanford_AI_Courses_1-1024×576.png 1024w, https://www.kdnuggets.com/wp-content/uploads/Wijaya_5_Free_Stanford_AI_Courses_1-768×432.png 768w, https://www.kdnuggets.com/wp-content/uploads/Wijaya_5_Free_Stanford_AI_Courses_1.png 1280w” data-lazy-sizes=”(max-width: 300px) 100vw, 300px” src=”https://technicalterrence.com/wp-content/uploads/2024/05/5-free-AI-courses-at-Stanford.png”/><img decoding="async" class="alignnone size-medium wp-image-174546" src="https://technicalterrence.com/wp-content/uploads/2024/05/5-free-AI-courses-at-Stanford.png" alt="5 free ai courses at Stanford” width=”100%” height=”100%” srcset=”https://technicalterrence.com/wp-content/uploads/2024/05/5-free-AI-courses-at-Stanford.png 300w, https://www.kdnuggets.com/wp-content/uploads/Wijaya_5_Free_Stanford_AI_Courses_1-1024×576.png 1024w, https://www.kdnuggets.com/wp-content/uploads/Wijaya_5_Free_Stanford_AI_Courses_1-768×432.png 768w, https://www.kdnuggets.com/wp-content/uploads/Wijaya_5_Free_Stanford_AI_Courses_1.png 1280w” sizes=”(max-width: 300px) 100vw, 300px”/>
Image generated with ideogram.ai
We are in an era in which artificial intelligence has been applied in many businesses and brings many values to ai tools. With so many benefits, there are numerous companies looking for ai experts who can offer these values.
Do you want to be one of these ai experts? Well, you can do it now. Free!
There are many courses from top universities, such as Stanford University, that are open to access.
So what are these free ai courses from Stanford University? Let's get into it.
StanfordOnline: Statistical Learning with Python
To get started with artificial intelligence in the modern era, you need to understand statistical methodology and Python programming.
Statistics would be important as the concepts are used in many fundamental ai tools and is an important field for understanding the mechanisms of ai. Indeed, statistical knowledge would lead you to build better ai.
On the other hand, Python is the programming language used to create modern artificial intelligence tools. That's why it's important to learn them too.
Stanford University Statistical Learning with Python Course I would teach you basic statistical methods and supervised learning while still dedicating your use of Python. You will become familiar with how statistical modeling works and it will also help you understand the upcoming course.
Stanford also offers free book material to accompany this course, which you can access on its website.
CS229: Machine Learning
Machine learning could be considered a subset of artificial intelligence, but modern ai tools require a solid machine learning foundation. To develop great ai, we need knowledge of machine learning as it allows us to direct where the ai would go and improve the outcome.
You will learn many fundamentals of machine learning in the CS229 Machine Learning Course at Stanford University. These include:
- Supervised learning
- Unsupervised learning
- Learning theory
- Reinforcement learning
- Adaptive theory
- Machine learning applications
This course would strengthen your bases in Machine Learning and, in turn, in artificial intelligence.
Introduction to artificial intelligence
Let's learn the basic concepts of artificial intelligence with the Introduction to artificial intelligence course from Stanford University. This course could kick start your ai learning as all the foundation you need is one course.
From 22 lessons and 9 practice exams, you will learn several concepts, including:
- Probability
- Machine learning
- game theory
- computer vision
- Robotics
- Natural language processing
These lessons will give you the confidence to explore artificial intelligence in depth.
CS221: artificial intelligence: Principles and Techniques
The next course is a deeper learning about ai as we would explore much more than the basics in the CS221: artificial intelligence: Principles and Techniques by Stanford University.
The course will provide you with many artificial intelligence techniques to implement various ai systems that you would need to know, including:
- Look for
- Markov decision processes
- playing game
- Constraint satisfaction
- Graphic models
- Logic
It is a fairly advanced course, so you may want to refresh many of the fundamental courses recommended by Stanford before taking this course.
The awakening of ai: implications for the economy and society
Lastly, we must learn about the impact of ai in becoming a great ai expert. We may understand the technical aspects, but knowing how to make a difference with ai separates us from other talents.
ai-awakening” target=”_blank” rel=”noopener”>The awakening of ai: implications for the economy and society through the Stanford University course would provide a different perspective for a technical person. Instead of learning how to develop them, the course would address more of the impact and risks.
It's a short course that you can finish in a day, but it would be important for an ai expert.
Conclusion
This collection from Stanford University will help you learn about ai and prepare you to become that expert.
If you are more interested in data science, read Stanford University's 5 Free Courses to Learn Data Science.
Cornellius Yudha Wijaya He is an assistant data science manager and data writer. While working full-time at Allianz Indonesia, he loves sharing data and Python tips through social media and print media. Cornellius writes on a variety of artificial intelligence and machine learning topics.
