Understanding Large Language Models in Business

Instructors: Soheil Haddadi, Reza Moradinezhad +1 more

What you'll learn

  •   Evaluate the opportunity of LLMs and utilize their capabilities for their business.
  •   Review the opportunities provided by current LLMs, as well as current limitations in certain business applications.
  •   Develop a roadmap to design and implement new business ideas using LLMs.
  •   Analyze current trends of LLMs and work to “cut through the noise.”
  • Skills you'll gain

  •   Business Modeling
  •   Prompt Engineering
  •   Software Development
  •   ChatGPT
  •   Artificial Neural Networks
  •   Application Programming Interface (API)
  •   Trend Analysis
  •   Customer experience improvement
  •   Business Marketing
  •   Large Language Modeling
  •   Artificial Intelligence
  •   Analytics
  •   Real Time Data
  •   Content Marketing
  •   Natural Language Processing
  •   OpenAI
  •   Business Strategy
  •   Generative AI
  •   Technology Roadmaps
  • There is 1 module in this course

    Today, major organizations use related LLM technologies such as Customer Support Chatbots, Marketing Content Generation, and Software Development tools. The impact of these technologies combined with real-time Data Analytics has transformed a wide range of industries, from airlines, advertising agencies, legal firms, and health care, just to name a few. Overall, Generative AI is changing the landscape faster than ever. As we dive into the lessons of this course, we will frame our discussions through several cases for marketing, software programming, content creation, and analytics. This course provides a 360° overview of the current abilities of state-of-the-art LLMs for businesses. Moreover, through this course, you will learn to identify some of the trends behind LLMs such as Neural Networks, Transformers, source models, and APIs. This program is designed for: 1- Entrepreneurs, business executives, and employees in general, will be able to evaluate how LLMs could affect their business. 2- Non-technical participants who can detect areas in which LLMs can improve their productivity. 3- Technical participants who will generate ideas to apply their skills and use LLMs to their advantage. 4- Learners who will have an opportunity to foresee what areas of business are likely to be impacted by LLMs. Learners should ideally possess the following prerequisite skills: Basic knowledge about business and startups; Curiosity for the field of AI; and General interest in machine learning and AI-related technologies.

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