Units
3.0 QUARTER UNITS
Cost
$980

Skills you will gain

  • Supervised Learning for NLP: Develop Python code to train algorithms for various natural language processing tasks.
  • Transformer Architecture Mastery: Evaluate and apply Transformer models in real-world NLP applications.
  • Understanding Large Language Models: Gain insight into the latest advancements, including GPT, GPT-3, and ChatGPT.
  • Generative Model Fine-tuning: Fine-tune open-source generative language models for customized NLP solutions.
  • Practical Deep Learning for NLP: Combine deep learning techniques with NLP to tackle complex language understanding and generation problems.

Course Description

Explore the technology behind ChatGPT and beyond. This advanced course covers natural language understanding and generation, from traditional NLP methods to modern transformer architectures and the GPT and BERT model families. With hands-on labs in Hugging Face and PyTorch, you'll fine-tune your own language models and gain broad, practical NLP experience in Python.

Prerequisites / Skills Needed

Prerequisites:

  • AISV.X401: Deep Learning and Artificial Intelligence
  • Live-Online Attend via Zoom at scheduled times.
Schedule
Date Start Time End Time Meeting Type Location
Sat, 01-23-2027 9:00am 12:00pm Live-Online REMOTE
Sat, 01-30-2027 9:00am 12:00pm Live-Online REMOTE
Sat, 02-06-2027 9:00am 12:00pm Live-Online REMOTE
Sat, 02-13-2027 9:00am 12:00pm Live-Online REMOTE
Sat, 02-20-2027 9:00am 12:00pm Live-Online REMOTE
Sat, 02-27-2027 9:00am 12:00pm Live-Online REMOTE
Sat, 03-06-2027 9:00am 12:00pm Live-Online REMOTE
Sat, 03-13-2027 9:00am 12:00pm Live-Online REMOTE
Sat, 03-20-2027 9:00am 12:00pm Live-Online REMOTE
Sat, 03-27-2027 9:00am 12:00pm Live-Online REMOTE
 

This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.

To see all meeting dates, click "Full Schedule" below.

You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.

Required Tools & Materials: Google Colab

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Prerequisites / Skills Needed

Prerequisites:

  • AISV.X401: Deep Learning and Artificial Intelligence
Demo