Generative AI for Business Leaders: A Quick Overview
- Description
- Curriculum
- FAQ
- Reviews
Generative AI for business leaders:
Don’t Get Left Behind. Embrace the AIÂ Revolution and Harness the Transformative Power of Generative AIÂ in the Workplace (a short course for beginners)
Master simple Gen AI frameworks and strategies that help you transform your AIÂ leadership skills.
This short, 70-minute course is designed for beginners who do not have a technical background,
making it perfect for team managers and leaders who want to quickly get up to speed on the power
of implementing Generative AI with their teams or organizations.
Why You Should Sign Up
- Learn the basics about AI and Generative AI (no tech background needed)
- Understand the impact of AIÂ on knowledge worker productivity through real-world studies
- Cut through the overwhelming information on AI and learn the stuff that matters
- Understand how to prioritize AIÂ use cases in the workplace
- Learn how to conduct a quick cost/benefit analysis of the different Gen AIÂ tools &Â their pricing models
- Get up to speed on a rapidly evolving technological landscape
- Gain a competitive edge by understanding and implementing AIÂ effectively
- Improve your decision-making skills by identifying tasks where AIÂ can be most effective
- Learn about the risks and ethical considerations of using AIÂ at work
Course Content
The course includes several video lessons about implementing Generative AIÂ in business.
Here’s a sneak peek into what you’ll learn:
Introduction to Generative AI
- AÂ quick overview of the different AIÂ terms for business leaders (AI, Generative AI, Machine Learning, etc.)
- The impact of AI on knowledge worker productivity through real-world studies.
- What Generative AIÂ can do for you, including generating text, images, audio, and video.
- Practical use cases of using Generative AIÂ in business
- The concept of the “Jagged Technological Frontier” and its implications
- Five things you should know as an AIÂ leader
- Key players in the Generative AIÂ space and their relationships with larger organizations, including OpenAI, Anthropic, Cohere, Microsoft, Google, Amazon, and others
- The main AIÂ tools used in the Gen AIÂ space, including ChatGPT, DALLE, Claude, Copilot, Coral, Bard, and more
Prioritization Frameworks that Help You Implement Generative AIÂ Solutions
- How to analyze the different stages of an organization’s Generative AIÂ journey
- How to assess the different dimensions of Generative AIÂ use cases
- (e.g., by function, role, organization, task, industry, technology, or data)
- How to calculate the return on investment (ROI)Â of generative AIÂ solutions (metrics, KPIs, and time to value)
- How to analyze the different layers of Generative AIÂ adoption and where it makes sense to invest
Strategies to Successfully Implement Generative AIÂ Solutions
- Conduct pricing analysis and assess the different pricing models of Generative AIÂ solutions
- Understand the different  risks and ethical considerations of implementing Generative AI in the workplace
- Follow Generative AIÂ implementation best practices to maximize success
Student Testimonials
★★★★★ “Great course that provides a very complete summary on what a business leader should expect and know about AI” – Gerardo Ramirez Zamudio
★★★★★ “Straightforward, and concise. I like that the instructor gave us practical information on its use, especially for those new to Gen AI,
and how it can be implemented. It gives the opportunity to explore more from a business standpoint.
I recommend this to people who are new and may need a bit of a road map. Made things a lot more clear for me!” – Daniel Maidich
★★★★★ “Great course – the fact that it is to the point and short on time works with my busy schedule. Thank you!” – Yevgeny Spektor
30 Day Money Back Guarantee
If you are not satisfied with the course for any reason, you may return the course within 30 days of the purchase date.
Ready to Start?
Click on the “Enroll Now” or “Buy Now” button in the top right corner of this page to take the
first step towards becoming a Generative AIÂ business leader.
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1Pre-Introduction (How Useful is Generative AI in the Workplace?)
Discover the impact of Generative AI on productivity and uncover the power of generative AI's influence on knowledge worker productivity. Learn how to identify tasks within the technological frontier, harness the power of AI for increased efficiency, and navigate its limitations effectively.
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2Introduction to Generative AI for Business Leaders
Designed for business leaders and managers, this course equips you with essential skills to thrive in an AI-driven world. Learn to leverage generative AI, save time by focusing on the essentials, and gain practical frameworks for immediate implementation.
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35 Things You Should Know as an AI Leader
Learn the 5 key insights to navigate the Generative AI landscape. Discover the importance of experimentation, stay updated in this fast-moving field, and understand when Gen AI is the right solution. Ensure responsible AI implementation for success and compliance.
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4Generative AI Basics for Leaders
An overview of the different AI terms. What is AI and how is it different from Generative AI? What do terms like Machine Learning and Automated Reasoning mean?
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5What Can Generative AI do for You
How Generative AI can help you in the workplace, including four Gen AI tool examples of practical use cases that create text, images, audio, and video files.
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6Key Players in the Generative AI Space
The main key players in the generative AI space that every leader should know. Companies include OpenAI, Anthropic, Cohere, Google, Microsoft, Amazon, and others. Tools include ChatGPT, DALLE, Claude, Brad, Coral, Copilot, and others.
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7Introduction to the Four Gen AI Frameworks
A quick introduction to the four frameworks that will help you prioritize on Gen AI solutions.
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8Framework 1: Stage in the Generative AI Journey
How to prioritize on the stage in the Gen AI journey: rest, crawl, walk, run, and sprint.
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9Framework 2: Dimensions of Generative AI Use Cases
The different dimensions of Gen AI use cases and how to prioritize on them by task, role, function, organization, industry, technology, or data
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10Framework 3: Return on Investment of Generative AI Solutions
How to think about the ROI of Generative AI solutions, including metrics, KPIs, and time to value
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11Framework 4: Layers of Generative AI Adoption
The three layers of Gen AI adoption, including their relative cost and time to value. Understand where it makes sense to invest based on your requirements.
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12Introduction to the Three Gen AI Strategies
A quick introduction to the three strategies that will help you successfully implement Gen AI solutions.
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13Strategy 1: Conduct Pricing Analysis of Generative AI Solutions
Understand the different pricing models of text Gen AI tools and solutions, and what variables you should consider, including: quality, speed, input, output, and context length.
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14Strategy 2: Understand Risks and Ethical Considerations of Generative AI
Learn about the 8 risks of using Gen AI at work, including bias, hallucinations, dependence, and more. Also learn about the different ethical considerations and what questions to ask before implementing AI.
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15Strategy 3: Follow Generative AI Implementation Best Practices
6 best practices that help you improve the chance of success when implementing Generative AI in the workplace.