Course Overview
This intensive one-day course is designed for individuals who are eager to deepen their understanding and application of machine learning technologies in their respective fields. By focusing on technical skills for real-world applications, this course will enable participants to implement machine learning models in a trustworthy and appropriate way using Python, Google Colab, and PyTorch.
From Machine Learning to Large Language Models - An Introduction
Instructor
The course offers not just upskilling opportunities to individuals who want to transition their career in AI and learn how AI can benefit companies and pioneer advancements in the field, but also serves as a platform to network and engage with experts and peers. Lunch will be served and there will be opportunities to meet and connect with other participants throughout the day.
This Course is for You if You
- Want to start applying machine learning and AI in your career
- Want to transition into a machine learning related field
- Want to incorporate machine learning into your business models or products and leverage machine learning for better decision-making and insights
- Are looking to expand your knowledge in machine learning and network with experts and peers in the field
In This Class You Will
- Learn how to set up and cross-validate machine learning models
- Demystify Large Language Models (LLMs) and run a local LLM
- See how Pytorch is used for deep learning tasks
- Understand models, weights, and fine-tune models on Google Colab
Course Prerequisites/Skills Needed
- Basic ability to code in Python
- Familiarity with linear algebra and statistics
- Need access to Google Colab, typically via a Gmail account (Instructions for setting up and accessing Google Colab will be sent prior to the workshop. Technical support will be available before and during the workshop.)
- Must bring a personal laptop
Dates and Location
Cancellation Policy
Requests for refunds must be sent by email to customer service and will be issued in accordance with the following:
- Cancellation on or before September 18: $100 Cancellation Fee
- After September 18: No Refund
Contact Us
If you have questions or need additional information, contact SIAM.
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