| File Name: | Generative AI for business leaders – an introduction |
| Content Source: | https://www.udemy.com/course/introduction-genai-businessleaders/ |
| Genre / Category: | Other Tutorials |
| File Size : | 1.6 GB |
| Publisher: | udemy |
| Updated and Published: | June 04, 2025 |
What you’ll learn
- Understand how generative AI works and where models like LLMs, GANs, or diffusion models can create value in business.
- Learn the difference between discriminative and generative AI to make informed tech and process decisions.
- Discover practical AI use cases for content creation, automation, and customer communication.
- Assess costs, benefits, and ROI of AI projects with a structured approach tailored for decision-makers.
- Understand legal risks, copyright issues, GDPR, and upcoming AI regulations relevant to your business.
- Learn how to identify AI risks like deepfakes, over-automation, and hallucinations—and how to mitigate them.
- Prepare your company for AI with clear roles, cross-functional teams, and a realistic implementation strategy.
- Build an internal AI governance system with defined responsibilities, review cycles, and ethical standards
- Understand how AI will change job roles—and how to upskill your team for future-proof operations.
- Explore future trends and disruptions in AI to make proactive, strategic business decisions.
Generative AI for Business Leaders – A Strategic Introduction
Artificial intelligence – especially generative AI – is reshaping business models, processes, and leadership roles at an accelerating pace. From automated content generation to language processing and decision support, AI systems are increasingly handling tasks that were once managed exclusively by humans.
For today’s businesses, managing AI is no longer just a technical issue – it’s a strategic priority. And it’s at the executive level that clear guidance is most urgently needed.
This course is designed for business leaders, senior executives, and decision-makers who want to understand how generative AI works, what it enables, and where the key risks lie.
What you’ll gain from this course:
- A clear, non-technical overview of generative AI and its capabilities
- A practical understanding of key concepts, terms, and use cases
- Strategic insight into how AI fits into leadership, governance, and corporate culture
- A realistic view of opportunities, limitations, and organizational challenges
- Tools for evaluating, implementing, and overseeing AI systems effectively
You’ll learn:
- How foundation models work and what makes them powerful
- Why data quality, transparency, and accountability matter
- What to consider when bringing AI into your company
- How to perform a cost-benefit analysis for AI initiatives
- What legal, ethical, and compliance issues to address
- How to prepare your organization step by step for AI integration
This course is ideal for:
- Business leaders and executives exploring AI adoption
- Division heads launching pilot projects
- Entrepreneurs seeking a solid entry into the world of generative AI
- Anyone who wants to understand the strategic impact of AI without needing a technical background
What this course is not:
- No programming or technical skills required
- No tool comparisons or live demos
- No hype – just a clear, actionable perspective grounded in business reality
Why take this course now?
Generative AI is not a passing trend – it’s becoming foundational to how businesses operate. Those who act now gain clarity, readiness, and a strategic edge. Those who wait risk falling behind.
This course gives you the tools to understand, evaluate, and lead in the age of AI.
Who this course is for:
- Business owners and CEOs who want to understand the strategic impact of generative AI
- Executives and managing directors looking to integrate AI into their company’s digital strategy
- Entrepreneurs aiming to build a competitive edge through responsible AI adoption
- Non-technical decision-makers who need a solid, practical introduction to AI without coding
- Innovation leaders and digital transformation managers evaluating AI opportunities
- Department heads and team leads preparing for their first AI use cases
- Professionals in corporate governance, compliance, or legal roles monitoring AI risks
- Strategy consultants and advisors who want to guide clients on AI readiness
- HR and operations leaders looking to understand how AI will affect roles and processes
- Anyone responsible for aligning AI projects with business goals and long-term value creation
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