TeamQuest- Mission AI Possible

SKU: NTV-QATGTWS3

208.626 kr.

TeamQuest – Mission AI: Possible is a one-day, high-engagement capability accelerator that combines competitive, team-based gamification with deep, modern prompting and agent design skills in Microsoft Copilot Studio. Learners are immersed in a retro-futuristic operational headquarters where they are briefed on “The Fog,” a behavioural pattern that emerges when vague briefs, thin context, drifting requests, and human–AI misalignment undermine Copilot outcomes.

Across four structured missions, each set in a different department of HQ, teams learn how to cut through The Fog by improving clarity, intent, and collaboration with AI. The course is memorable because it is gamified, but transformative because it focuses on applied thinking, disciplined prompting, and real-world automation patterns. Learners leave with sharper communication habits, stronger AI outputs, and practical skills they can apply immediately in their organisation.

Forkröfur

Participants should have:

  • Completed Microsoft’s Applied Skills Workshop for PL-7008
  • A working knowledge of Copilot Studio, Power Automate, and Dataverse
  • Familiarity with Microsoft 365 services, including Outlook, SharePoint, and Teams

Target audience

This course is ideal for:

  • Technical professionals and business users with foundational Copilot Studio experience
  • Digital transformation teams applying AI to workflow automation
  • Solution architects, low-code developers, and Microsoft Power Platform practitioners seeking applied, scenario-based learning

Nemandi mun læra eftirfarandi

By the end of this course, learners will be able to:

  • Craft purposeful prompts that balance tone, clarity, and scenario-based intent
  • Configure Copilot agents with distinctive communication styles aligned to organisational context
  • Control agent knowledge boundaries to ensure accurate, compliant, and trustworthy outputs
  • Connect Copilot agents to data sources using Power Automate and Dataverse
  • Build and test logic-driven interactions for secure data capture and retrieval
  • Design event-driven and autonomous agents that respond to real operational triggers
  • Operate effectively under time pressure, making informed trade-offs between speed, accuracy, and automation depth

Samantekt

Mission briefing and operational context

  • Introduction to TeamQuest – Mission AI: Possible and the applied learning approach
  • Understanding The Fog and its impact on AI effectiveness in organisations
  • Overview of the team-based, gamified format and scoring criteria
  • Setting expectations for collaboration, experimentation, and instructor guidance

Mission 1: The Spy Swagger

  • Mission focus: Voice, tone, and personality in AI agents
  • Designing an agent with a clearly defined character and communication style
  • Creating concise, engaging one-liners based on random prompts and scenarios
  • Exploring how prompt specificity influences consistency and creative output
  • Evaluating agents against voice fidelity, creativity, clarity, and impact

Mission 2: The Knowledge

  • Mission focus: Knowledge control and scope discipline
  • Configuring an agent to use a single, authorised knowledge source only
  • Preventing hallucinations by restricting access to external or unauthorised data
  • Designing graceful, in-character refusals for out-of-scope questions
  • Assessing accuracy, clarity, technical compliance, and voice authenticity

Mission 3: The New Source

  • Mission focus: Secure data capture and retrieval
  • Designing an agent-driven challenge and response workflow
  • Validating user input and managing identity using a secure Dataverse-backed store
  • Implementing conditional logic for new and returning users
  • Delivering structured interactions with clear starts, ends, and mission-appropriate tone

Mission 4: The Hazard Equation

  • Mission focus: Autonomous agents and analytical reasoning
  • Designing an agent that triggers automatically from Dataverse events
  • Applying an official scoring protocol to calculate operational risk
  • Producing structured, concise analytical summaries for HQ consumption
  • Updating records programmatically with calculated scores and rationale
  • Ensuring the entire process runs autonomously without user interaction

Final debrief and reflection

  • Review of mission outcomes, design decisions, and agent behaviour
  • Group discussion on prompt quality, trade-offs, and AI collaboration patterns
  • Instructor feedback and identification of transferable workplace practices

Exams and assessments

There are no formal exams included in this course. Assessment is continuous and practical, based on instructor observation and feedback during each mission. Optional knowledge checks and peer scoring are used to encourage reflection and reinforce learning throughout the day.

Hands-on learning

This course includes:

  • Scenario-driven labs that simulate real-world use of Copilot Studio and the Power Platform
  • Timed, mission-based challenges requiring practical application of agent design and automation
  • Guided support options that encourage strategic decision-making under pressure