XTCT-810 - Applied GenAI for Enhanced Team Performance
Course Description
This seven-week certificate program equips non-technical professionals with practical, immediately applicable skills to transform team performance using Generative AI and agentic AI tools. Students will examine challenges that hinder team effectiveness, including ambiguous roles, shifting priorities, and communication breakdowns. Through applied learning and instructor-led activities, they will develop and implement AI-supported strategies to enhance team clarity, coordination, and performance without the need for programming expertise..
Professional learners will utilize prompt engineering to enhance team communications, implement AI-assisted tools for meeting effectiveness and feedback systems, and develop strategic approaches to team formation and increased collaboration. The program includes hands-on experience with data analysis for business insights, enabling participants to leverage AI for decision-making and performance measurement.
Participants will engage with real-world scenarios and practical projects designed for immediate workplace application. By the end of the program, students will be equipped to identify AI integration opportunities, implement comprehensive team improvement strategies, and develop sustainable systems that address multiple organizational challenges simultaneously. The curriculum ensures participants gain the adaptability to leverage evolving AI technologies for sustained team excellence in their professional environments.
Course Outline
- Week 1: AI‑Enhanced Communication & Trust
Participants interact with a GenAI tool using a set persona to explore support for professional tasks. They apply prompt engineering techniques to craft concise team updates and use AI meeting assistants to produce clear summaries with follow‑up items. They test AI tools for communication barriers, generate visual content and design icebreakers that build trust. - Week 2: AI‑Powered Goal Setting & Role Clarity
Learners design SMART objectives with AI templates to set measurable goals. They build RACI matrices using AI prompts that clarify team roles. They use AI‑driven gap analyses and feedback loops to refine objectives and role definitions. - Week 3: AI‑Supported Decision Making & Leadership
Participants analyze decision bottlenecks with AI frameworks and build decision matrices to compare options. They run scenario simulations with generative models and craft AI‑driven leadership prompts for strategic communication. They explore ethics in AI decision making and use AI to generate actionable business insights. - Week 4: AI‑Driven Collaboration & Resource Optimization
Learners identify resource constraints and apply AI strategies to automate workflows and optimize team effort. They create AI‑generated change roadmaps and design collaboration rituals that boost efficiency. They use AI scanners to spot resource gaps and plan transitions that ease resistance. - Week 5: Agentic AI Design & Workflow Automation
Participants learn core ideas of agentic AI and spot workflows ripe for no‑code automation. They prototype simple agentic workflows with no‑code tools and map out multi‑step automations. They set ethical guardrails and plan how to share and deploy agents within teams. - Week 6: AI‑Coached Conflict Resolution & Feedback
Learners diagnose team conflict types with AI‑assisted frameworks and design interventions using mediation and management strategies. They create AI‑driven mediation scripts and structured feedback frameworks. They apply AI to role‑play tough interactions and solve complex case studies. - Week 7: AI Synthesis & Continuous Improvement ( Capstone )
Participants combine ChatGPT tools to tackle interconnected team challenges and develop AI‑generated action plans. They present improvement strategies to stakeholders and weave integrated workflows for communication, goal setting, decisions and conflict resolution. They reflect on successes and limits of their AI‑assisted approach.
Course Objectives
Learning Outcomes:
- Design and evaluate AI-supported frameworks that define clear team membership, clarify roles and responsibilities, and establish team authority to support accountability and stability.
- Analyze the role of a Compelling Direction in motivating team performance, and develop prompts, workflows, and communication strategies using GenAI that reinforce shared goals, vision, and purpose.
- Design team structures aligned with task complexity and team goals, and propose GenAI-enabled solutions to optimize processes and performance, streamline task execution, and adapt team workflows in real time.
- Apply GenAI tools to improve team access to learning, communication, information, and reinforcement systems within a supportive organizational context and formulate GenAI-enhanced strategies to improve knowledge sharing, data access, and team recognition.
- Design AI-augmented coaching and feedback mechanisms that foster continuous learning and capability development across the team, supported by practical examples such as role-play scenarios, feedback scripts, or personalized coaching plans.
- Evaluate and construct AI-supported strategies to improve team decision-making and diagnose, classify, and resolve workplace team conflicts by applying conflict frameworks, communication models, and feedback techniques to improve team effectiveness and interpersonal dynamics.
- Deploy agentic AI systems to enhance team effectiveness and decision-making processes by implementing AI-assisted workflows with appropriate human oversight.