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Coursera – Quick Start Guide to Large Language Models (LLMs) Specialization 2025-11

Updated August 10, 2026 6.46 GB
Coursera – Quick Start Guide to Large Language Models (LLMs) Specialization 2025-11

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Descriptions

Quick Start Guide to Large Language Models (LLMs) Specialization, Quick Start Guide to Large Language Models (LLMs) Specialization is designed to help you master the fundamentals and practical skills needed to work with modern LLMs. Through three focused units, you’ll learn how LLMs like ChatGPT and Llama work, how to use them for real-world tasks, and how to build your own LLM-powered applications. The course covers essential concepts such as prompt engineering, model selection, fine-tuning, and evaluation, providing hands-on experience with popular tools and frameworks. By the end, you’ll be able to confidently apply LLMs to solve business, research, and creative problems, and understand the ethical considerations and future trends shaping this fast-moving field.

What you’ll learn

  • Understand the architecture and functioning of large language models like ChatGPT and Llama.
  • Apply prompt engineering techniques to optimize LLM outputs for various tasks.
  • Select, fine-tune, and evaluate LLMs for business, research, and creative applications.
  • Build and deploy LLM-powered applications using popular frameworks and tools.
  • Recognize ethical considerations and future trends in the field of large language models.

Who this course is for

  • Developers and data scientists seeking practical LLM skills.
  • Business professionals interested in leveraging LLMs for automation and innovation.
  • Researchers and students aiming to understand and apply large language models.
  • Anyone curious about the future of AI and natural language processing.

Specificatoin of Quick Start Guide to Large Language Models (LLMs) Specialization

  • Publisher : Coursera
  • Teacher : Pearson
  • Language : English
  • Level : Intermediate
  • Number of Course : 3
  • Duration : 4 weeks to complete at 5 hours a week

Content of Quick Start Guide to Large Language Models (LLMs) Specialization

Quick Start Guide to Large Language Models (LLMs) Specialization

Requirements

  • Python 3 proficiency, interactive Python environments, Pandas library and either Tensorflow/PyTorch, understanding of ML/deep learning fundamentals

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Quick Start Guide to Large Language Models (LLMs) Specialization

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Course 1 – Quick Start Guide to Large Language Models (LLMs): Unit 1

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Download Part 2 – 1 GB

Download Part 3 – 3 MB

Course 2 – Quick Start Guide to Large Language Models (LLMs): Unit 2

Download Part 1 – 1 GB

Download Part 2 – 334 MB

Course 3 – Quick Start Guide to Large Language Models (LLMs): Unit 3

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Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 141 MB

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Course 1 – Quick Start Guide to Large Language Models (LLMs): Unit 1

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 3 MB

Course 2 – Quick Start Guide to Large Language Models (LLMs): Unit 2

Download Part 1 – 1 GB

Download Part 2 – 334 MB

Course 3 – Quick Start Guide to Large Language Models (LLMs): Unit 3

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 141 MB

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6.46 GB