Developing Agentic LLM Systems
Developing Agentic LLM Systems is a comprehensive course covering the ecosystem of tools, architectures and techniques for developing LLM-based solutions and agentic applications. The course uses the latest in AI technology to develop applications with LLMs. This course covers essential topics, such as LLM solution architectures, choosing the right LLM, and tools for developing agentic […]

Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267)
An introduction to developing and deploying AI/ML applications on Red Hat OpenShift AI. Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) provides students with the fundamental knowledge about using Red Hat OpenShift for developing and deploying AI/ML applications. This course helps students build core skills for using Red Hat OpenShift AI to […]

Developing GenAI Applications
Developing GenAI Applications is a comprehensive course covering the approaches to Generative modeling, the ecosystem of tools for developing Generative models and in depth exploration of language models. The course uses the latest in AI technology to develop applications with LLMs. This course covers essential topics, such as LLM solution architectures, choosing the right LLM, […]

Fundamentals of Modern AI
This comprehensive AI training program aims to introduce entry-level individuals to the fundamentals of Artificial Intelligence (AI) and its various applications. Students will explore key AI concepts, tools, and ethical considerations. The course includes lectures, demonstrations, and hands-on labs, concluding with a final exam to assess understanding and readiness to apply AI knowledge in their […]

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 […]

Introduction to Artificial Intelligence for Government
Provides a foundational understanding of AI concepts, terminology, capabilities, and how AI is transforming public sector operations. Hands-on Activities Duration 2 days

Leading and Managing AI Transformation
Equips leaders with the knowledge and skills to navigate AI adoption within their agencies, fostering a culture of innovation and managing change effectively. Hands-on Activities Duration 2 days

Leveraging AI for Data Analysis and Visualization
This course examines how data analysts can utilize AI tools such as LLMs (Large Language Models) and other specialized tools to accelerate, automate and enhance their analyses, spreadsheets, programs, visualizations and presentations. Duration 2 days

Procuring and Managing AI Solutions
Artificial Intelligence (AI) is revolutionizing industries and government operations. However, procuring AI solutions for the federal government presents unique challenges, including navigating federal regulations, assessing vendor capabilities, and ensuring responsible deployment. This intensive, hands-on course provides federal procurement professionals, IT project managers, and contract managers with a comprehensive framework for acquiring, evaluating, and managing 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 […]

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 […]

Responsible AI and AI Risk Management Frameworks
This training introduces attendees to the many Responsible AI governance frameworks, risk management frameworks, and related resources that are available to organizations as they plan the safe and secure development, deployment, and use of AI systems. Duration 8 class hours (1 day)
