- Promoted by: Anonymous
- Platform: Udemy
- Category: Management
- Language: English
- Instructor: Eduardo Aponte, PhD
- Duration: 1 hour(s) 31 minute(s)
- Student(s): 593
- Rate 0 Of 5 From 0 Votes
- Expires on: 2025/12/27
-
Price:
54.990
AI workflows: use-case discovery, pilot design, team norms, performance dashboards.
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for the "AI Implementation for People Managers" course by Eduardo Aponte, PhD on Udemy.
This course, boasting a 0.0-star rating from 0 reviews
and with 593 enrolled students, provides comprehensive training in Management.
Spanning approximately
1 hour(s)
31 minute(s)
, this course is delivered in English
and we updated the information on December 23, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
Welcome to “AI Implementation for People Managers.” If you lead a team and want AI to cut busywork, speed decisions, and improve quality—without risking brand, data, or trust—this course is for you. We stay practical and tool-agnostic: no coding, no hype, just playbooks you can use next week.
You’ll start by learning what GenAI can and cannot do for everyday teamwork, then map high-ROI opportunities using simple workflow diagnostics and ICE scoring so you pick smart, safe starters. From there, we put AI to work in your real flow—meetings, email, and documents—turning SOPs and wikis into answerable knowledge, adding lightweight automations with a human in the loop, and tracking results with a clear dashboard for throughput, quality, cycle time, and rework.
Because change is about people, you’ll get talk tracks by role, address common fears around quality, jobs, and ethics, and build a practical upskilling rhythm with micro-learning and office hours. You’ll also establish team norms—acceptable use, data hygiene, prompt logs, and review sign-offs—so outputs stay consistent and safe.
Finally, you’ll run lightweight governance from intake to retirement, set privacy and security defaults that prevent shadow AI, and prove impact with fair pilots, A/B tests, and benefit tracking. By the end, you’ll have a one-page pilot brief with OKRs, a starter prompt library, and a repeatable operating model to scale what works—safely, measurably, and fast.