Free Download Planning for AI Disruption Generative AI & AutomationPublished 4/2026
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Language: English |
Duration: 1h 29m |
Size: 3.27 GB
Build scenarios, manage risk & ethics, upskill teams, and create an AI roadmap for generative AI and automation.
Explain generative AI, automation, and intelligent automation in plain English
Create 3-4 AI disruption scenarios and define early warning indicators
Apply the NIST AI Risk Management Framework to map and reduce AI risk
Design Responsible AI guardrails for bias, privacy, and transparency
Build an AI strategy and roadmap aligned to business goals and readiness
Plan upskilling/reskilling and lead culture change for AI adoption
RequirementsThere are no prerequisites for this course
DescriptionGenerative AI and automation aren't "coming someday"-they're already reshaping knowledge work. Consider what leaders are seeing right now
• Nearly three-quarters of executives expect generative AI to create significant or disruptive change within ~3 years.
• Studies suggest ~30-45% of today's work tasks could be automated with current AI capabilities.
• Companies are already pausing or reshaping hiring in roles they believe AI will automate.
If you're a leader being asked, "What's our AI plan?" and you don't yet have a clear, credible answer-this course is built for you.
This course is not a technical deep dive and it won't try to turn you into a machine learning engineer. Instead, you'll learn a practical leadership playbook to plan for the transformative and disruptive impact of Generative AI and Automation-so you can make smarter decisions, reduce risk, and guide your people through change with confidence.
In this course, you'll learn how to
• Understand generative AI vs. automation (and why the combo is so disruptive)
• Spot real-world trends and use cases across functions and industries
• Use scenario planning to prepare for multiple AI futures (not one forecast)
• Identify and mitigate AI risks (hallucinations, bias, privacy, legal exposure)
• Apply governance and Responsible AI principles to build trust and accountability
• Upskill and reskill teams so adoption accelerates instead of stalling
• Lead cultural change so AI becomes a capability-not a source of fear
• Build an AI strategy and roadmap aligned to business goals and readiness
By the end, you'll have a repeatable framework you can bring into leadership meetings, planning cycles, and transformation initiatives-so your organization can move faster than the disruption, not behind it.
Who this course is forManagers, directors, and team leaders responsible for operational performance
Strategy, transformation, and innovation leaders building AI roadmaps
HR and L&D professionals planning workforce upskilling/reskilling
Product, operations, and customer experience leaders evaluating AI use cases
Risk, compliance, legal, audit, and governance professionals supporting AI rollout
Consultants and business analysts advising organizations on AI disruption
Non-technical executives who need an AI plan without deep technical jargon
Founders and small-business leaders preparing for AI-driven competition
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