Pre-requisites
☆ Basic familiarity with AI agents and LLMs (e.g., ChatGPT, LangChain, AutoGen).
☆ Some experience with design tools (Figma, Miro, or similar) is helpful but not mandatory.
☆ Laptop with internet access for prototyping exercises.
Pre-requisites
☆ Basic familiarity with AI agents and LLMs (e.g., ChatGPT, LangChain, AutoGen).
☆ Some experience with design tools (Figma, Miro, or similar) is helpful but not mandatory.
☆ Laptop with internet access for prototyping exercises.
September 2025
This hands-on workshop explores the emerging field of AG-UI (Agent-User Interface) design, equipping participants with the skills to create intuitive, effective, and engaging interfaces for AI agents. Through a mix of theory, case studies, and practical exercises, learners will design AG-UIs that improve collaboration, decision-making, and productivity across real-world applications.
By the end of this course, participants will be able to:
☆ Understand the principles of AG-UI and its importance in human-agent collaboration.
☆ Design interfaces that optimize user experience with AI agents.
☆ Apply best practices for agent communication, feedback, and explainability.
☆ Prototype interactive AG-UIs for web, desktop, or mobile platforms.
☆ Evaluate and iterate designs based on usability and agent performance metrics.
☆ UX/UI designers interested in AI.
☆ Product managers & developers building AI-driven products.
☆ AI enthusiasts who want to bridge the gap between models and humans.
☆ Startups & enterprises designing agent-based solutions.
Upcoming Batches
☆ What is AG-UI and why it’s the next frontier in AI
☆ Human-agent collaboration principles
☆ Examples of effective and poor AG-UIs in current tools
☆ Interaction patterns for AI agents
☆ Feedback loops: how agents communicate decisions and suggestions
☆ Hands-on: Analyze and critique existing agent interfaces
☆ Wireframing & designing agent dashboards
☆ Integrating AI outputs into user-friendly visualizations
☆ Hands-on: Build your first AG-UI prototype using Figma or Streamlit
☆ Explainable AI (XAI) in agent interfaces
☆Personalization & context-aware UI for agents
☆ Multi-agent interface design (for systems with more than one agent)
☆ Usability testing for AG-UIs
☆ Metrics to evaluate agent-user interaction effectiveness
☆ Hands-on: Test prototypes, gather feedback, iterate
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☆ AG-UI in customer service, productivity tools, research assistants
☆ Emerging trends & future directions
☆ Showcase: Participant prototypes
Certificate of Completion For The Program
Post course Support if required
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