AI & Agentic AIComing Soon
Agentic AI: From Prompts to Execution
Move beyond single prompts to AI agents that plan, use tools, and complete multi-step work.
Overview
This program explains how agentic AI differs from a chat assistant and shows how to design, supervise, and evaluate agents that carry out multi-step tasks. The emphasis is on practical task design and keeping people in control.
Who it is for
- Professionals already comfortable with generative AI
- Developers and technical leads
- Product and project managers exploring automation
Learning objectives
- Differentiate agents from chat-based AI assistants
- Break a goal into tasks an agent can execute
- Decide where human review is required
- Evaluate agent results and failure modes
Topics and modules
Module 1
What makes AI agentic
- Goals, plans, and actions
- Tools and context
- Where agents fit
Module 2
Designing agent tasks
- Scoping a task
- Writing instructions
- Defining done
Module 3
Supervision and safety
- Human-in-the-loop checkpoints
- Permissions
- Handling errors
Module 4
From experiment to workflow
- Evaluating results
- Measuring value
- Adopting in a team
Practical exercises
- Decompose a real business goal into an agent plan
- Run a multi-step task with an AI agent and review each step
- Design human checkpoints for a higher-risk workflow
Expected learning outcomes
- Identify tasks well suited to agentic AI
- Specify agent work clearly and supervise it effectively
- Assess agent results before relying on them
Bring this program to your group
Each program can be shaped around your learners, their experience, and your goals.