Stanford offers a variety of educational options focused on artificial intelligence, ideal for improving job prospects since they grant certificates that can be added to your resume.
To access these online courses, Just enter the page https://online.stanford.edu/ and search for the course of interest. Some are free and some are paid.
1. Computer Science 101
To begin exploring the field of programming and artificial intelligence, it is essential to acquire a solid foundation in both theoretical and practical computer science.
Stanford offers a course designed for people with no prior experience that covers the fundamental concepts of computer science. Students can complete it at their own pace, facilitating self-directed learning and deep understanding of the topics covered.
In CS101, students interact and explore small fragments of “computer code” to understand both the capabilities and constraints of computers. All learning is done in the browser, eliminating the need to download or install additional software.
Some of the topics that are covered are:
– How computer hardware works: chips, CPU, memory, disk.
– Necessary jargon: bits, bytes, megabytes, gigabytes.
– How the software works: what is a program, what is “executed”.
– How digital images work.
– Computer code: loops and logic.
2. Specialization in machine learning
After completing the basic terms and practices course, participants are ready to start the machine learning specialization course at the Stanford University School of Engineering. This beginner-friendly program offers the fundamentals of machine learning and how to use these techniques to create AI applications.
This course is available on the Coursera platform. Course materials can be viewed for free or with the option to obtain a certificate at the regular cost of $49 per month.
Stanford courses offered through Coursera are subject to Coursera’s pricing structures. Some courses require payment, others can be audited for free, and others include a 7-day free trial, after which you can pay to get a verified certificate.
3. Relational databases and SQL
Among the professional vacancies related to artificial intelligence, people specialized in database management are highly sought after.
Besides, Stanford’s relational databases and SQL course relates to artificial intelligence in several wayssince the efficient management of large volumes of data is essential for the development and implementation of AI systems.
This course provides an introduction to relational databases and comprehensive coverage of SQL, the long-accepted standard query language for relational database systems.
Stanford University offers a series of paid virtual programs, ideal for those seeking more personalized and specialized training.
4. Artificial intelligence: principles and techniques
In this grade, Students will gain a broad understanding of the modern AI landscape. Additionally, they will learn how machines can engage in problem solving, reasoning, learning, and interaction, and apply their knowledge as they design, test, and implement new algorithms.
This course requires the student to have basic knowledge such as:
– Python Proficiency since the coding tasks will be carried out in this programming language. Some tasks will require familiarity with basic Linux command line workflows.
– Knows derivatives (multivariables) and understands notation and matrix/vector operations.
– Know the basic probability distributions (continuous, Gaussian, Bernoulli, etc.) and be able to define concepts for continuous and discrete random variables: expectation, independence, probability distribution functions and cumulative distribution functions.
5. Professional artificial intelligence program
Stanford provides a professional artificial intelligence program that, as the name suggests, grants a professional certificate.
This online program provides rigorous coverage of the most important topics in modern artificial intelligence, including:
– Deep learning.
– Natural language processing and understanding.
– Reinforced learning.
– Graph neural networks (GNN).
Individuals interested in starting this program must complete an application, which Stanford will evaluate.
