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
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Instructors
Global Leaders in Professional & Technology Education
For decades, we at Starweaver have partnered with hundreds of the world’s leading organizations and reached millions of learners, delivering unparalleled professional education. Our global team of over 750 practitioners, instructional designers, producers, program managers and creative experts from six continents brings real-world experience and academic rigor to every program, ensuring learners build skills that are hands-on and practical while founded in intellectual and academic rigor. With unmatched expertise and a dynamic ability to inspire, our team is committed to shaping the future of work and equipping learners to thrive in today’s rapidly changing business and technology ecosystem.
Data Scientist and AI & ML Research Scientist, Coursera Instructor Network
Soheil Haddadi and Reza Moradinezhad are data scientists and AI researchers known for making advanced machine learning and large language models accessible for business and practical use. They teach "Fine-tuning Language Models for Business Tasks," focusing on customizing generative AI, LLMs, and trustworthy, human-centered interaction for business innovation. Their courses present practical strategies for fine-tuning AI models, fostering responsible AI adoption and impactful business solutions in diverse industries.
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