Enroll Course: https://www.coursera.org/learn/generative-ai-engineering-and-fine-tuning-transformers
Introduction
In today’s rapidly evolving tech landscape, the demand for professionals skilled in generative AI is skyrocketing. Businesses are on the lookout for AI engineers who can effectively work with large language models (LLMs). If you’re looking to enhance your career in this exciting field, the Generative AI Engineering and Fine-Tuning Transformers course on Coursera is an excellent choice. This course not only equips you with essential skills but also prepares you for the challenges of the AI industry.
Course Overview
The course dives deep into the world of transformers, model frameworks, and platforms like Hugging Face and PyTorch. It starts with a foundational understanding of optimizing LLMs and quickly transitions into the practical aspects of fine-tuning generative AI models.
Syllabus Breakdown
The course is structured into two main modules:
- Transformers and Fine-Tuning: This module introduces you to the concept of fine-tuning. You will explore generative models and compare the Hugging Face and PyTorch frameworks. Additionally, you will learn about model quantization and how to utilize pre-trained transformers effectively.
- Parameter Efficient Fine-Tuning (PEFT): Here, you will delve into parameter efficient fine-tuning techniques, including adapters like LoRA (Low-Rank Adaptation) and QLoRA (Quantized Low-Rank Adaptation). The hands-on labs will allow you to train a base model and pre-train LLMs using Hugging Face.
Why You Should Enroll
This course is perfect for anyone looking to break into the AI field or enhance their existing skills. The hands-on approach ensures that you not only learn theoretical concepts but also apply them in real-world scenarios. By the end of the course, you will have a solid understanding of how to fine-tune transformers, making you a valuable asset in the job market.
Conclusion
If you’re eager to advance your career in AI and gain practical skills that are in high demand, the Generative AI Engineering and Fine-Tuning Transformers course on Coursera is highly recommended. With its comprehensive syllabus and hands-on labs, you’ll be well-prepared to tackle the challenges of working with large language models.
Enroll Course: https://www.coursera.org/learn/generative-ai-engineering-and-fine-tuning-transformers