Developing Agentic AI Systems (with LangChain)
Developing Agentic AI Systems (with LangChain) will help you stay on the cutting edge of AI. This course is an intensive four-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 […]
AI
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 […]
AI
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, […]
AI
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 […]
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
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
AI
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
AI
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
AI
Leveraging AI for Increased Productivity
This one-day course introduces non-technical professionals to practical ways AI tools — especially Large Language Models (LLMs) and copilots — can increase productivity in the workplace. The course focuses on using AI to write faster, communicate better, manage tasks more efficiently, and streamline repetitive work. Duration 1 day
AI
MCP 101
MCP 101 is a half-day course that provides a concise overview of the Model Context Protocol (MCP), a new open standard for connecting AI assistants to real-world data and tools. As agentic AI systems move into production, interoperability becomes essential—MCP bridges this gap by linking models with content repositories, business systems, and development environments. Through […]
AI
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 […]
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