INET 4087
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Credits4
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Delivery MethodFully online
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Related Program
About This Course
This course is a hands-on introduction to the skills and knowledge necessary to understand and apply principles of data engineering, artificial intelligence, and machine learning tools and techniques, utilizing Amazon AWS as a primary platform. Students will be able to design, implement, and evaluate AI-based solutions, ensuring alignment with industry best practices and standards, with a focus real-world applications. Students will explore data processing, model training and inference, and AI implementation using industry-standard cloud platforms. Topics include data ingestion, supervised and unsupervised learning, AI-driven analytics, deploying AI solutions at scale, and ethical considerations.
Instructors
BA, history, with a minor in management information systems, University of Wisconsin-Whitewater
Daniel Stocker is senior director of infrastructure and production for the University of Minnesota, where he leads the backbone technologies that enable the University’s mission and strategic imperatives. His primary focus is the development of leaders and the creation of partnerships that support modernization of security, technology, and process, including site reliability engineering, DevOps, PAM, scaled Lean/Agile delivery, cybersecurity, hybrid cloud strategy, platforms, storage, databases, and PeopleSoft. Dan has held significant technology leadership roles at organizations such as Cargill and United Health Group, where his focuses included global IT resiliency, mission-critical lifecycle service, rollout of application server platforms, and technical resource development.
- INET 3102 – Web Infrastructure
- INET 3350 – Special Topics in IT Infrastructure (Intro to Cloud Data Engineering; Intro to AI and Machine Learning)
MS, computer science with specialization in data science, University of Illinois at Urbana-Champaign; Bachelor of Engineering, with specialization in computer science and engineering, Panjab University, Chandigarh, India
Ashish Kumar is a senior enterprise architect in artificial intelligence and machine learning (AI/ML) at Amazon Web Services (AWS), a subsidiary of Amazon, where he assists customers to build cutting-edge generative AI-based solutions to solve business challenges. Ashish has held leadership roles at organizations such as Change Healthcare, McKesson, and UnitedHealth Group. He was part of a team at Change Healthcare that was awarded a patent and published a medical imaging-related research paper. He holds multiple certifications from AWS, Google Cloud, and Microsoft Azure.
- INET 3101 – C Programming: Language and Applications
- INET 3102 – Web Infrastructure
- INET 3350 – Special Topics in IT Infrastructure (Intro to Cloud Data Engineering; Intro to AI and Machine Learning)