Upskill Your Team with
University-Led AI Training

 

Explore practical AI and data training programs from universities in Indiana designed for working professionals, technical teams, and business leaders.

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Find university-led AI and data training options for business leaders, technical teams, and working professionals. 

Artificial Intelligence (AI) Microcredentials

Purdue’s AI Micro-credentials Program offers quick and convenient online courses that cover the fundamentals of artificial intelligence and its applications. With an average completion time of only 15 hours, this program is an ideal upskilling opportunity for professionals who want to advance in their careers quickly.

Format: Online

Audience: any working professional

GenAI 101

Reflecting IU’s commitment to cultivating a future-ready workforce, GenAI 101 introduces practical skills in generative AI to students in all degree programs, providing a foundation in AI literacy that is applicable to each student’s chosen field.

Format: Online

Audience: IU students, faculty, staff, and alumni

Introduction to AI

This introductory course provides a comprehensive foundation in Artificial Intelligence (AI), empowering students to work confidently with AI tools, systems, and methodologies across diverse professional settings. They will explore the scope and key disciplines of AI, including data strategies, model architectures, and the complete AI lifecycle. By engaging with real-world scenarios and applied projects, students will learn to design, assess, and adapt AI solutions that are effective, fair, and sustainable.

Format: online, synchronous

Audience: any working professional

Master of Science in Artificial Intelligence

Purdue University’s online Master of Science in Artificial Intelligence provides a comprehensive education in one of the world’s most transformative fields. This program combines cutting-edge research with practical applications, preparing students to develop AI solutions that solve real-world problems. Designed for professionals looking to advance their careers, this degree allows students to choose from two majors tailored to their interests. The AI and Machine Learning major emphasizes programming, computer science and mathematics, while the AI Management and Policy major focuses on leadership, ethics and policy.

Format: Online

Audience: technical and business professionals

GenAI 201

GenAI 201: AI Skills in Business is an asynchronous course designed to help professionals apply generative AI to real-world business challenges. Participants will learn how to leverage AI for decision-making, quantitative analysis, risk and ROI evaluation, prototyping, and building effective AI teams, while gaining hands-on experience with agentic AI workflows. 

Format: online, synchronous

Audience: any student or working professional

Applied Artificial Intelligence Professional Certificate

The Applied Artificial Intelligence (AI) Professional Certificate provides students with a comprehensive foundation in the principles, tools, and applications of modern AI technologies. Students gain hands-on experience developing intelligent systems that solve real-world problems.

Format: Hybrid (online and in-person)

Audience: graduate students, working professionals, corporate teams/employer sponsored training

Applied Artificial Intelligence Technical Certificate

This program provides a strong foundation in computing, programming, data analytics, and cloud technologies before advancing into specialized courses in artificial intelligence, machine learning, natural language processing, and applied AI projects.

Format: Hybrid (online and in-person)

Audience: undergraduate students, business leaders/executives, operations and frontline workforce, educators or trainers, public/nonprofit sector professionals

Applied Artificial Intelligence AAS

Associate of Applied Science (AAS) degree builds on foundational computing and AI principles to prepare students for dynamic careers in intelligent systems, data-driven decision-making, and software innovation. Students develop a comprehensive understanding of data analytics, cloud technologies, and software development, progressing to advanced topics in artificial intelligence, machine learning, natural language processing, and applied AI projects.

Format: Hybrid (online and in-person)

Audience: undergraduate students, operations and frontline workforce, educators or trainers, public/nonprofit sector professionals

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