Understanding Large Language Models in Business
Master the implementation of LLMs in business operations, from customer support to content generation, driving innovation and efficiency.
Master the implementation of LLMs in business operations, from customer support to content generation, driving innovation and efficiency.
This comprehensive course explores Large Language Models (LLMs) and their transformative impact on business operations. Students learn about LLM capabilities, applications, challenges, and future potential through theoretical insights and practical examples. The course covers key concepts like Neural Networks, Transformers, and APIs, while examining real-world applications in marketing, programming, and analytics.
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What you'll learn
Evaluate LLM opportunities and capabilities for business
Review current LLM applications and limitations
Develop implementation roadmaps for LLM solutions
Analyze current trends in LLM technology
Master prompt engineering techniques
Understand key concepts in LLM technology
Skills you'll gain
This course includes:
87 Minutes PreRecorded video
1 assignment
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FullTime access
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There is 1 module in this course
This course provides a comprehensive introduction to Large Language Models (LLMs) and their business applications. Students learn about LLM evolution, key concepts like tokens and embeddings, and practical applications in programming and marketing. The curriculum covers prompt engineering, implementation strategies, and current challenges. Through case studies and practical examples, participants gain insights into how LLMs are transforming various industries and learn to develop roadmaps for implementing LLM solutions in their businesses.
Understanding LLMs and their Business Application
Module 1 · 2 Hours to complete
Fee Structure
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Instructors
AI Educator | Human-Centered Interaction Researcher | Promoting Trustworthy AI
Reza Moradinezhad is an AI educator and researcher specializing in human-centered interaction and trustworthy AI. He offers a range of courses on Coursera
Data Scientist | AI & ML Research Scientist | Interested in LLMs and GenAI
I am a Postdoctoral Researcher specializing in Artificial Intelligence, with a distinguished academic background in Control and Automation Systems Engineering. My expertise spans Data Science, Machine Learning, LLMs, Deep Learning.
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