Who is this intended for?
-
1. Those interesting in the white hot field of ML and want
to learn by doing.
-
2. Those in financial technology who want to search large
swaths of data faster than their competition.
By the end of this course both audiences will have a usable
MVP they can use to build off of.
Curriculum
-
Week 1: Train -
Experimenting with
different ML models on
Replicate
-
Week 2: Parse - Extracting
multimedia
contents with Python
-
Week 3: Deploy - Serverless
GPU
deployment using
Modal
-
Week 4: Engine - Vector
search using
MongoDB
and
Weaviate
-
Week 5: Backend - Wrapping
it all
together with Flask
-
Week 6: Frontend -
Javascript, dynamic
search experience
Prerequisites
We will assume you already have
Python 3.8+
and
Jupyter Notebooks
installed, in addition to several pip packages. See this
GitHub Readme.
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