Generative AI For Managers and Leaders
Learn Generative AI, adoption in business processes, GenAI challenges and leading Generative AI projects
4.54 (2505 reviews)

9 958
students
3.5 hours
content
Feb 2024
last update
$59.99
regular price
What you will learn
Foundational knowledge - What is Generative AI, AI, Machine Learning, Deep Learning
Integrating GenAI into business strategy
Be GenAI conversant with your teams, peers, stakeholders
Creating a GenAI culture, starting a project and managing it
Key terminologies that you hear a lot - LLM, Prompt Engineering, Fine tuning and more
Responsible AI
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Rating & Reviews
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Our Verdict
This Generative AI For Managers and Leaders course serves as an insightful and engaging gateway for business leaders looking to strategically leverage GenAI capabilities and navigate the challenges of integrating this cutting-edge technology into their organizations. While expanding on real-world applications across various industries could enhance learning, the course already stands out with its accessible explanations, practical strategies, and focus on responsible leadership in an AI-driven world.
What We Liked
- In-depth exploration of Generative AI (GenAI) fundamentals, enabling strategic leverage of its capabilities.
- Wide range of real-world applications and use cases discussed, offering insights into GenAI's cross-industry impact.
- Practical strategies for integrating GenAI into organizational decision-making processes and cultivating an AI-driven culture.
- Focus on leadership challenges and responsible AI usage, critical for managing future GenAI projects.
Potential Drawbacks
- Lack of diverse real-world business cases hindering deeper understanding of GenAI applications in specific industries.
- Quiz questions could be more challenging to better assess knowledge acquisition.
- Some content repetition could be minimized for a more efficient learning experience.
- Occasional tendency to focus on specific AI tools over broader GenAI concepts.
5737100
udemy ID
31/12/2023
course created date
08/01/2024
course indexed date
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