AI Adoption
This course provides a comprehensive guide for organizations looking to successfully adopt Artificial Intelligence technologies. It covers the key stages of AI adoption, from initial planning and evaluation to implementation, management, and scaling. Learners will gain insights into best practices and potential pitfalls to ensure a smooth and effective AI integration process. Duration ½ day
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AI Bootcamp
The AI Bootcamp is an intensive, guided, hands-on LLM application development program. Attendees will work in teams gaining direct experience building a working LLM application and leveraging LLM technology. At the outset, this program organizes attendees into teams of an appropriate size, to ensure each attendee gains experience with all aspects of the project’s development. […]
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AI Empowered Software Development
AI Empowered Software Development is an intensive three day hands on course exploring ways in which experienced software developers and teams can enhance their productivity dramatically through the use of modern AI tools including generative AI systems, coding assistants, co-pilots, development environment addons, simulated data generation tools, testing tools, deployment tools and collaboration tools – […]
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AI Essentials
This 4-hour course offers a well-rounded survey of Artificial Intelligence for relative newcomers to the field. It provides an overview of AI and Generative AI fundamentals, surveys public and open-source models, and explores multi-modal systems and prompt engineering. The course also examines AI applications in data analysis and visualization, and introduces other AI tools for […]
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AI for Leaders
This course equips leaders with the knowledge and skills to navigate AI adoption within their organization to improve productivity and performance, establish proper AI governance and risk management processes, and lead AI strategy and change management. Duration ½ day
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AI Governance & Responsible AI
This training introduces attendees to AI and ethics; AI governance and Responsible AI (RAI); RAI and risk management frameworks; and related topics of interest to organizations as they plan the safe, secure and trustworthy development, deployment, and use of AI systems. Duration ½ day
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AI Learning Subscription
To keep up with the rapid pace of change in the field of artificial intelligence, UMBC Training Centers has created a comprehensive learning subscription, providing subscribers with an unlimited series of instructor-facilitated 4-hour hands on workshops over the course of 12 months. This approach allows us to schedule and deliver AI-related content that is relevant […]
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AI Security, Compliance, and Explainability
This Artificial Intelligence (AI) course covers the essential principles of AI ethics, regulatory compliance, and the challenges of AI security. In this AI course, attendees learn AI’s role in various sectors, best practices for system security, and the intricacies of AI design and deployment. Students also explore the AI auditing processes and understand the importance […]
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AI Strategy Workshop
This all-day AI Strategy Workshop is designed to help organizations move from AI curiosity to concrete action. The workshop provides a structured approach to identify, prioritize, and plan the implementation of AI initiatives that align with business goals. Participants will gain a shared understanding of AI’s potential, assess their organization’s current state, and collaboratively develop […]
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AI-Augmented Logical Reasoning, Risk Analysis, and Critical Thinking
This course provides an overview of decision and risk analysis techniques, augmented by LLM AI tooling. It focuses on how to make rational decisions in the presence of uncertainty and conflicting objectives. AIs are employed to help discover unknown personal biases and exhaustively consider alternatives. Concepts will be illustrated through case studies and practiced by […]
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Building AI Skills for the Non-Technical Government Workforce
This course offers a well-rounded survey of AI for non-technical government staff. It provides an overview of AI and Generative AI fundamentals; examines the use of AI tools and co-pilots for expediting and automating common workplace tasks; presents AI applications in data analysis and visualization, and introduces other AI tools for image and media generation. […]
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Data Science with AI
Data Science with AI explores how modern AI tools—particularly Large Language Models (LLMs)—can supercharge the work of data professionals. This course demonstrates how AI can be leveraged to accelerate, automate, and enhance data analysis, from query generation and code writing to advanced visualization and storytelling. Participants will gain hands-on exposure to cutting-edge tools that are […]
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