Agile + DevOps East 2023 Tutorial: Getting Started with AI and Machine Learning


Tuesday, November 7, 2023 - 8:30am to 12:00pm

Getting Started with AI and Machine Learning

Are you a software professional who would like to learn to use AI and machine learning (ML), but don't know how to get started? One of the best ways to get into ML is by designing and completing small projects. Although you will ultimately need to understand the fundamentals of AI/ML, there's no reason why you can't learn foundational terms, concepts and principles as you put them into practice.  Join Dionny Santiago as he introduces you to the world of applied machine learning. Dionny will guide you through a series of ML projects end-to-end, enabling you to gain experience with creating and loading training data, summarizing and visualizing the datasets, evaluating various ML algorithms, and using the trained models to make predictions.

Dionny Santiago

Dionny Santiago is an Engineering Manager at Indeed and has 12+ years of industry experience working as an SW/QA/ML engineer, software/test architect, and engineering manager. Dionny completed his master's thesis on exploring the intersection between AI and test automation and is currently pursuing a Ph.D. in this problem space. One of Dionny's goals is to advance the current state of the art in software testing through Artificial Intelligence and Machine Learning. He has published and contributed to the design of test specification languages and AI-driven test generation approaches. Dionny also enjoys attending software testing conferences to both learn and share. Dionny is a member of the IEEE Computer Society and the ACM.