Foundations and Enterprise Applications of LLM

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off

One annual plan covers every course and certificate on Coursera. 40% off for a limited time.

In this course, you'll dive into large language models (LLMs) and explore their significant role in transforming enterprise applications. You’ll learn how LLMs are revolutionizing industries like healthcare and education, enhancing user interfaces, and driving innovation in business workflows. Through a combination of theoretical knowledge and practical insights, you'll gain the tools to identify LLM deployment opportunities within your organization and understand how to integrate them for business advantage. The course provides real-world examples and expert guidance to give you a comprehensive view of LLMs' potential in enterprise environments. What sets this course apart is its blend of foundational principles with real-world use cases, ensuring you not only understand the theory but can apply it to solve practical problems. This course is perfect for professionals working in fields such as AI, machine learning, or enterprise software development, looking to expand their knowledge of LLMs. Some prior experience in machine learning or AI concepts will be helpful. This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Syllabus

Introduction to Large Language Models

This module explores the development and impact of large language models (LLMs), tracing their evolution from rule-based systems to advanced AI capable of natural conversation. Learners will examine the training processes behind models like GPT, clarify common misconceptions, and consider future directions in objective-driven AI. By the end, you'll gain foundational knowledge of how LLMs are built, refined, and applied.

LLMs in Enterprise: Applications, Challenges, and Design Patterns

This module explores how large language models (LLMs) are transforming key enterprise sectors such as healthcare and education, while addressing the technical and operational challenges of deploying these models at scale. Learners will examine strategies for improving model efficiency, reliability, and return on investment, as well as best practices for integrating LLMs into business workflows.

Advanced Fine-Tuning Techniques and Strategies for Large Language Models

This module explores advanced methods for fine-tuning large language models, including dataset curation, prompt engineering, and integration strategies for business applications. Learners will gain hands-on experience with techniques such as K-shot prompting, LoRA configuration, and Retrieval-Augmented Generation (RAG) to optimize LLM performance for specific organizational needs.