• views: 104
• date: 22 November 2023
• posted by: voska89

What you'll learn
Understand how to use AI to improve and speed up analysis
Learn how to effectively prompt AI for valid responses on logic
Understand how to structure logical analysis effectively
Learn how to test decisions for quality using AI
Requirements
No prerequisites, but completing the course Think Sharper with the Logical Thinking Process adds value.
Description
The ability to effectively communicate with Large Language Models is fast becoming the single most important skill to have, and there is little doubt it is already starting to distinguish between winners and losers in the workplace. The danger of losing out to AI is real. But if we use it correctly, it can help us become better at thinking and make better decisions.Decision-making and analysis in complex situations calls for rigorous cause-effect analysis. Until now, the drawback of such analysis has been the time and effort it calls for. With the new natural language AI models, this is now fundamentally changing. In this course, I explain step-by-step how to prompt AI for valid responses on cause-effect relationships. When you finish, you will be able to take advantage of AI to transform your thinking and take your decision-making and problem-solving skills to a new level. In the course, you will also learn the basics of the Logical Thinking Process framework, which is the most powerful methodology available for sound cause-effect analysis and decision-making. It is based on the groundbreaking work of management pioneer Dr. Eliyahu M. Goldratt, author of the best selling business novel The Goal.Note: This is NOT a generic prompt engineering course. It is highly specialized and intended for those who understand the threats and opportunities brought by the new Large Language Models, and who are ready to take advantage of this new technology to transform their own thinking.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Decision making
Section 2: Decision-making and analysis
Lecture 3 Decisions and tacit and explicit information
Lecture 4 Qualitative decision-making
Section 3: Structured logical analysis
Lecture 5 Structured logical analysis - The Logical Thinking Process
Lecture 6 The Logical Thinking Process
Section 4: Using Large Language Models in qualitative decision-making
Lecture 7 Introduction to Large Language Models
Lecture 8 Validating cause-effect analyses using Chat GPT - Part 1
Lecture 9 Validating cause-effect analyses using Chat GPT - Part 2
Lecture 10 Validating necessity-based analysis using Chat GPT
Section 5: Conclusion
Lecture 11 Conclusion
Professionals,Executives,Consultants,Academics


Homepage

https://www.udemy.com/course/think-sharper-with-ai/

   
   
   

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