Description
Generative AI with Large Language Models, a course on Generative AI with Large Language Models; published by Coursera Academy. In Generative AI with Large Language Models (LLMs), you will learn the fundamentals of how generative AI works and how to apply them to real-world applications. By completing this course, you will learn to: Understand generative AI in depth Describe the key steps in an LLM-based generative AI lifecycle, from data collection and model selection to performance evaluation and deployment Describe in detail the transformer architecture that powers LLMs, how they are trained, and how fine-tuning enables LLMs to adapt to a variety of specific use cases Use empirical scaling rules to optimize the model objective function across dataset sizes, computational workloads, and inference requirements Apply advanced training, tuning, inference, tooling, and deployment methods to maximize the performance of models within the constraints of your specific project. After hearing stories from researchers and industry experts, you will explore the challenges and opportunities that generative artificial intelligence poses for businesses.
Developers who have a good fundamental understanding of how LLMs work, as well as best practices for training and deploying them, can make better decisions for their companies and build working prototypes faster. This course will help students build practical concepts on how to best utilize this exciting new technology. This is an intermediate course, so you should have some coding experience in Python to get the most out of it. You should also be familiar with machine learning fundamentals such as supervised and unsupervised learning, loss functions, and splitting data into training, validation, and test sets. If you have earned the Machine Learning or Deep Learning specialization from DeepLearning.AI, you will be ready to take this course and delve deeper into the fundamentals of generative AI.
What you will learn
- Gain fundamental knowledge, practical skills, and a practical understanding of how generative artificial intelligence works.
- To understand how companies are creating value with cutting-edge technology, see the latest research on Gen AI.
- Training AWS AI professionals who are actively applying AI to business cases today
Who is this course suitable for?
- This course is perfect for anyone with a background in Python and ready to delve deeper into large language models and generative AI.
Generative AI with Large Language Models Course Details
- Publisher: Coursera
- Instructor: Antje Barth , Chris Fregly
- Language: English
- Education level: Intermediate
- Number of lessons: 4
- Training duration: Approximately 16 hours to complete the entire course
Generative AI with Large Language Models Course Topics
Course prerequisites
- This is an intermediate course, so you should have some experience coding in Python to get the most out of it.
Pictures
Sample video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Version 2023/11 compared to 2023/6: The number of text files has increased by 18. (Also, the lab 2 walkthrough video in the second week of the second season has been corrected)
Version 2025/1 compared to 2023/11: The number of text files has increased by 2.
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File size
851 MB
