Udemy - The Leader ' s Guide to Generative AI

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Udemy - The Leader ' s Guide to Generative AI (Size: 3.2 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  1 - Introduction & Foundations
  1. Introduction to Generative AI for Leaders.mp4 226.2 MB
  2 - Generative AI Landscape & Trends
  3 - Applications Across Business Functions
  4 - Strategy Ethics and Case Studies
  10. Integrating Generative AI into Business Strategy and Culture.mp4 247.4 MB
  11. Ethical Legal and Governance Considerations.mp4 259 MB
  12. Case Study Morgan Stanley’s Generative AI Journey.mp4 246.9 MB
  13. Recap and Guidance for Continued Learning.mp4 204.5 MB
  6. Marketing and Sales Applications of Generative AI.mp4 256.9 MB
  7. Customer Service and Support with Generative AI.mp4 281.2 MB
  8. Operations HR and Finance – Internal Uses of Generative AI.mp4 289.7 MB
  9. Product Development and Innovation with Generative AI.mp4 261.5 MB
  4. The Generative AI Tool Landscape.mp4 273.6 MB
  5. Key Trends and Business Implications of Generative AI.mp4 280.1 MB
  2. AI and Machine Learning Basics.mp4 233.9 MB
  3. How Generative AI Works.mp4 239.1 MB

Description


The Leader’s Guide to Generative AI

https://WebToolTip.com

Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 48m | Size: 3.22 GB

Lead genAI adoption: pick use cases, run pilots, manage risk, and scale responsibly

What you'll learn
Explain what generative AI is, how it differs from predictive AI, and what it can reliably do in business contexts.
Identify high-value genAI use cases by mapping AI capabilities to business goals and workflow friction points.
Design and launch low-risk pilots with clear success metrics (time saved, quality, CSAT, conversion, cost-to-serve).
Implement practical guardrails: human review, source grounding, privacy rules, and escalation paths for sensitive cases.
Create an adoption plan: training, AI champions, communication, and change management that reduces fear and resistance.
Choose a build/buy approach and understand when RAG/internal knowledge assistants beat fine-tuning for enterprise needs.

Requirements
There are no pre-requisites for this course

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