About the Course
Learning Objectives
- Comprehend the basics of Large Language Models (LLMs) and their utility in diverse business scenarios.
- Apply different types of prompts to optimize the outcomes in your business tasks.
- Demonstrate the ability to combine various prompting techniques for effective communication with LLMs.
- Critically evaluate AI outputs for quality and refine them using advanced prompting strategies.
- Develop strategies to collaborate effectively with AI, leveraging its strengths to enhance productivity, communication, personal and professional growth, and creativity.
- Exhibit understanding and adherence to data privacy and ethical considerations while interacting with AI.
Delivery Type
Self e-Learning
Modules
Module 1: Introduction
Module 2: Introduction to Large Language Models (LLMs)
Overview of LLMs (ChatGPT, Microsoft Bing, Google Bard)
Strengths and Limitations of LLMs
Use cases and Applications in Business Settings
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Module 3: Basics of Prompting and Experimentation
Open-ended, Specific, and Goal-oriented Prompts
Good vs. Bad Prompts: How to Think Like a Bot
Combining Prompt Techniques
Hands-on Experimentation with Basic Use CasesÂ
Prompt Settings and Model Tuning
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Module 4: Formatting and Iterative Refining of Prompts
Setting the Tone and Voice of Your Responses
Defining Formats for Your Responses
Iterative Refining of Prompts
Module 5: Advanced Prompting Techniques
Introduction to Zero-shot, Few-shot, and Chain of Thought Prompting
Role-playing for Specialized Responses
Making Prompts Dynamic with Variable Inputs
Discovery-based and Mega-prompting
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Module 6: A Day in the Life of a Business User Collaborating with LLMs
Enhancing Productivity
Powering Communication
Igniting Personal and Professional Growth
Initiating Projects
Sparking Creativity
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Module 7: Wrap-up
Ethics, Bias, and Future of AI
Summary