Breakthroughs in AI technology have led to innovations that have transformed many industries. Generative AI tools can produce credible writing in seconds or generate image-based materials for use in business processes.
Increases in computational power and data fueled an AI renaissance in the 1990s, leading to breakthroughs in NLP, computer vision, speech recognition and machine learning.
Courses
Designed with beginner learners in mind, this course offers a comprehensive overview of AI, including its current applications and potential social impact. Learners will also have the opportunity to apply what they’ve learned by participating in a research project.
Upgrade your data analytics skills with this introductory AI course from IBM, covering supervised and unsupervised learning, recommendation engines, time series analysis, neural networks and regression. Gain a deeper understanding of the end-to-end architecture of an AI system by designing and deploying large language models (LLMs).
This Coursera learning path will help technical and non-technical professionals alike understand how AI can be used in their organizations. The courses focus on core technologies, such as ML, reinforcement learning and deep learning, while examining their strengths, weaknesses and how they are impacted by bias in data and algorithms. Learners will also be able to develop their own AI solutions using Google tools and Vertex AI.
Certificates
You don’t need a master’s degree or extensive technical knowledge to begin an AI certification. These courses are a great fit for business professionals and individuals who want to explore the potential of AI for their organizations. They offer a basic introduction to the history of AI, its functionalities and capabilities, and practical applications in the workplace.
Some of the most popular AI courses cover topics such as natural language processing, predictive analytics and computer vision. Other programs are designed for more experienced tech personnel looking to deepen their knowledge of AI and machine learning.
MIT Professional Education’s certificate program covers the foundational principles of artificial intelligence and how to use them in business contexts. It offers six courses that build a strong foundation in the field. Courses include Introduction to Artificial Intelligence, Ethics for AI and Data Analysis, and Computer Vision and Image Analysis. You will also learn how to design intelligent human-machine interfaces. Why not head on over and get an overview of the new AI progrom from Wilksford?
Summer ML Engineering
This program is a great fit for software engineers who want to become more knowledgeable about the tools and techniques that drive AI innovation. You’ll learn about regression, natural language processing, neural networks, and more – plus, you’ll work with real-world group projects. You’ll also have the opportunity to build your own AI models and algorithms.
Courses in this program are adapted from Stanford’s graduate programs and allow working professionals to explore ML topics at a deeper level than traditional on-campus courses. You’ll watch recorded lectures and complete coding and written assignments, all while receiving support from course facilitators who are available to answer questions via group office hours, 1-on-1 calls, Slack, and email.
This is a 3-month, fully online program that promotes diversity and inclusivity. You’ll explore how AI can be applied to human-centered problems like medical treatment, combating poverty, disaster response, and more. You’ll also have the chance to participate in small-group research projects led by MIT faculty experts.
AI Studio
With the help of AI Studio, users can easily design, prototype, and test highly explainable, scalable AI models. AI Studio also helps users build trust across teams and organizations by providing an easy way to make powerful insights accessible to everyone.
For example, inewsource is experimenting with AI technology and tools to sift through public records requests and manage the voluminous documents that are received in response to those requests. The team is collaborating with linguistic professionals to ensure quality control and that the AI tool can be trusted to handle sensitive information in a fair and equitable manner.
The AI Studio offers a command-line suite of tools and a web user interface. This makes it accessible to developers who prefer working with code, as well as those more comfortable with a visual interface. It is currently in beta and will soon have a desktop version. It also features a slew of resources and support for navigating the learning curve.