AI Private

Working with Agentic AI: Delegating Real Work to AI (BUR-AGAI50)

3 hours
AIAI WorkshopsAgentic AI

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  • Private class for your team
  • Live expert instructor
  • Online or on‑location
  • Customizable agenda
  • Proposal responses same day as request
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Course Overview

Course Benefits

  • Understand what makes agentic AI different from chat-based AI, and recognize which type of tool fits a given task
  • Scope a task by selecting files, folders, and connections thoughtfully, and describe an outcome rather than a single instruction
  • Delegate multi-step work — organizing files, building spreadsheets, drafting reports — and review a finished deliverable instead of managing each step
  • Apply responsible use practices specific to agentic AI, including permission boundaries, approval checkpoints, and when to require confirmation before AI acts
  • Use scheduling and remote task handoff to extend agentic AI's usefulness beyond a single sitting at your desk
  • Apply agentic AI to a realistic multi-step workflow through a hands-on case study tailored to your organization's tools and use cases

Delivery Methods

Private Class
Delivered for your team at your site or online.

Course Outline

  1. Introduction to Agentic AI
    1. What agentic AI is and how it differs from chat-based AI
    2. A tour of the agentic AI platform(s) used in this workshop
    3. Where agentic tools fit into your daily workflow
  2. Setting Up and Scoping a Task
    1. Choosing what files, folders, and connections AI can access
    2. Describing an outcome instead of a single prompt
    3. Understanding the approval workflow: plans, checkpoints, and confirmations
  3. Working with Files, Data, and Applications
    1. File and data types agentic AI can read, edit, and create
    2. Turning messy inputs into finished deliverables
    3. When and how AI interacts directly with apps or a browser on your behalf
  4. Automating and Extending Agentic AI
    1. Scheduling recurring tasks and setting a cadence
    2. Assigning and checking on tasks remotely
    3. Customizing agentic tools with skills, connectors, or specialized agents
  5. Responsible Use and Case Study
    1. Permission boundaries: what to grant access to, and what to keep out
    2. Reviewing, redirecting, and correcting AI mid-task
    3. Case study: delegate a multi-step task and review the result
    4. Discussion: identifying high-value tasks to delegate in your own role

Class Materials

Each student receives a comprehensive set of materials, including course notes and all class examples.

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