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. This course is included in the AI Annual Learning Pass. Duration ½ day
AI
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. This course is […]
AI
Developing Agentic AI Systems
Developing Agentic AI Systems will help you stay on the cutting edge of AI. This course is an intensive three-day workshop designed for developers already proficient with LLM systems who are ready to take their skills to the next level. Participants will transcend conventional LLM applications, learning to architect, build, and deploy sophisticated autonomous agents. […]
AI
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 […]
AI
Prompt Engineering II
Prompt engineering is the practice of designing, testing, and refining the input text (or “prompt”) given to a language model or other AI system to produce a desired output. Prompt engineering involves understanding how to communicate clearly and effectively with AI models. Prompt Engineering II continues from our Prompt Engineering I class to introduce students […]
AI
Prompt Engineering I
Prompt engineering is the practice of designing, testing, and refining the input text (or “prompt”) given to a language model or other AI system to produce a desired output. Prompt engineering involves understanding how to communicate clearly and effectively with AI models. Prompt Engineering I introduces students to the core introductory as well as some […]
AI
Introduction to Agentic AI
Generative AI tools such as ChatGPT to provide responses based on a single interaction. A person makes a query (or “prompt”) and the AI uses natural language processing to respond. The next powerful wave of artificial intelligence is agentic AI, which uses advanced reasoning and iterative planning to autonomously solve complex, multi-step problems. Agentic AI […]
AI
AI Annual Learning Pass
To keep up with the rapid pace of change in the field of artificial intelligence, UMBC Training Centers has created a comprehensive learning pass, providing subscribers with an unlimited series of 4-hour instructor facilitated hands-on workshops over the course of 12 months. This approach allows us to schedule and deliver AI-related content that is relevant […]
AI
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. […]
AI