9.6
(19 ratings)
6 Weeks
·Cohort-based Course
Gain a thorough understanding of the world of Machine Learning Deployment with a special focus on SOTA Language Models
Hosted by
Hamza Farooq
AI Specialist & Adjunct Professor | 15+ years | Google | Stanford | UCLA
This course is popular
4 people enrolled last week.
Course overview
After our sold out first three Cohorts [cumulative of 120 students!], we are ready for Cohort 4.
Learning Outcome:
Upon completing this course, students will undergo a transformation in their understanding of machine learning with a focus on production and LLMs. They will gain practical skills in building and deploying machine learning models in a production environment.
Additionally, students will gain a comprehensive understanding of the end-to-end machine learning pipeline, allowing them to construct and deploy robust and effective models in real-world settings using Large Language Models. Overall, students will emerge with greater confidence in their abilities to tackle practical machine learning problems and deliver results in production.
Class begins 2nd December
01
You are intrigued about LLMs and would like to learn more!
02
You are ready to deploy your own SOTA AI Models and like to see how they work
03
You want to go beyond Jupyter Notebook and develop batch or real-time prediction
Building LLM Applications from scratch into Production
Victor Calderon
Tiffany Teasley
Darshil Modi
Tony Dupre
Nicole Lovold-Egar
Dan Kellen
Ex-Google Adjunct Professor @Stanford | @U of Minnesota
I have over 15 years of experience of leading and building ML teams and have been teaching for the past three years.
Cohort 4
$700 USD
Dates
Dec 2—Jan 7, 2024
Application Deadline
Nov 27, 2023
01
Introduction to Natural Language Processing
02
Foundational Knowledge of Transformers & ML System Design
03
Retrieval Systems
04
Building a search engine from bare bones and deploying it on Huggingface using server-less inference
05
Knowledge Graph, Generative AI, Alpaca,Llama and Dolly 2.0 and World of langchain on larger corpus of Data
06
Fine tuning Models using PeFT and QLoRa
07
Demo Day
Teams get to present their learnings through a capstone project
8am - 10:00am PST
We will go through each module during this class
9:00 - 09:30am PST
Office Hours: online
2-4 hours per week
Students will spend time building projects with their team members or individually
this course with a focus on production and LLMs is designed to equip students with practical skills necessary to build and deploy machine learning models in real-world settings. Be part of the first 20 people cohort. More in email link..
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
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Cohort 4
$700 USD
Dates
Dec 2—Jan 7, 2024
Application Deadline
Nov 27, 2023