• views: 212
• date: 21 September 2026
• posted by: 0nelove

Agentic Ai For L&d Leaders: From Prompts To Action
Published 9/2026
Created by Educational Engineering Team
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 18 Lectures ( 58m ) | Size: 120.3 MB
Use AI agents to automate L&D workflows, personalize learning, apply guardrails, and design a low-risk pilot.
What you'll learn
⚡ Distinguish traditional generative AI from goal-driven agentic AI.
⚡ Explain how AI agents use goals, triggers, tools, planning, execution, evaluation, and adjustment.
⚡ Identify Learning and Development workflows that are suitable for agentic AI.
⚡ Map an L&D objective into a basic multi-step agentic workflow.
⚡ Evaluate use cases such as skills-gap analysis, personalized learning, learning operations, content maintenance, engagement monitoring, and learning-impact meas
⚡ Define appropriate guardrails, permissions, escalation paths, and human review points for AI agents.
⚡ Identify the workforce skills required to supervise and collaborate effectively with AI agents.
⚡ Design a controlled low-risk agentic AI pilot with measurable outcomes.
Requirements
❗ No programming experience is required.
❗ No AI engineering experience is required.
❗ Basic familiarity with generative AI tools is helpful but not required.
❗ Familiarity with common Learning and Development activities such as onboarding, training assignments, learner engagement, or reporting is helpful.
❗ No specific AI-agent platform or software subscription is required.
Description
Generative AI can create content.
Agentic AI can pursue goals, coordinate multiple steps, use tools, evaluate results, and continue working toward an outcome.
That difference creates an important opportunity for Learning and Development teams.
Instead of using AI only to write training content, generate quiz questions, or summarize policies, L&D teams can begin designing workflows where AI agents help coordinate learning activities, personalize development, monitor engagement, maintain content, and support learning operations.
But increased autonomy also introduces new questions about permissions, human involvement, data access, monitoring, suitable workflows, and low-risk experimentation.
This beginner-friendly course gives Learning and Development leaders a practical introduction to agentic AI.
You'll start by understanding how agentic AI differs from traditional generative AI, then learn core concepts (goals, triggers, tools, guardrails, autonomous tasks, workflow agents, human-in-the-loop, multi-agent systems).
Next, you'll explore the Agent Loop: Goal → Plan → Execute → Evaluate → Adjust → Complete, applied to real L&D workflows (skill gaps, learning pathways, personalization, content maintenance, enrollments/reminders, engagement, learners at risk, linking learning to performance).
Finally, you'll examine governance and workforce capabilities, define permissions and escalation, and design a low-risk agentic AI pilot.
No programming or AI engineering experience is required.
By the end, you'll have a practical framework for evaluating where agentic AI can support L&D workflows while maintaining appropriate human accountability.
What you'll learn
✅ Distinguish generative AI from agentic AI
✅ Understand the Agent Loop
✅ Identify practical L&D use cases
✅ Define guardrails and human oversight
✅ Design a low-risk pilot
Who this course is for
⭐ Learning and Development leaders exploring AI-enabled workflows.
⭐ L&D professionals responsible for training programs and learning operations.
⭐ Talent-development professionals exploring AI adoption.
⭐ HR professionals involved in employee development.
⭐ Training managers responsible for onboarding or mandatory learning.
⭐ Learning operations professionals managing enrollments, reminders, reporting, or content.
⭐ Managers responsible for workforce capability development.
⭐ Business leaders who need a practical introduction to AI agents without programming.
⭐ Professionals responsible for designing responsible human-AI workflows.
Homepagehttps://www.udemy.com/course/agentic-ai-for-ld-leaders-from-prompts-to-action




   
   
   

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