A five-week course that dives into the essential concepts and hands-on skills needed to master RAG and apply them in AI engineering for real-world solutions. You will learn to build RAG systems from scratch and explore advanced topics like hybrid search and multimodal retrieval.
A six-week course on the impact of AI on real estate investment, housing prices, and mortgage calculations. Students will gain expertise in market analysis and making informed investment decisions.
This course teaches the fundamentals of modern Automatic Speech Recognition (ASR) systems. You will learn about the components of ASR, the theory behind speech recognition, and build your own speech recognition system using Python. The course is part of the 'Advanced and Applied AI on Microsoft Azure' ExpertTrack.
This course introduces the tools and techniques used in applied data science, including methods for data cleaning and preparation.
Introduces the role of AI in education and workplace learning, covering ethics, automation, and the future of teaching. Ideal for L&D managers, CLOs, and instructional leaders.
Learn how mathematics, particularly numerical linear algebra, underpins big data analysis.
This course teaches the fundamentals of data wrangling and cleaning using Python and the Pandas library, essential skills for any data scientist.
This beginner's course builds an understanding of the essential math required for data analytics.
This course covers key mathematical concepts for machine learning and AI, with a focus on implementation using R.
An introductory course that covers the principles of data analysis and data visualization. You'll learn how to use statistical analysis to guide business decisions.
This course from the University of Leeds provides an introduction to statistical thinking and data analysis using the R programming language. You will learn about data visualization, summary statistics, and hypothesis testing.
This course delves into the societal impact of facial recognition technology, which is increasingly a part of our daily lives. It covers the technical and design issues that can lead to biased performance across different societal groups and emphasizes the need for responsible deployment to mitigate these inherent biases.
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