landscape is evolving fast, though these are still early days for AI. The focus
of AI has been more on building models and analyzing data, while users were
asking for crisp outputs and self-use interactive applications. It’s not that
the data science and AI community was not aware of these needs. The lack of web
scientists too since data science and web technologies are two separate streams
of specializations. So, only a large team with a mix of data science and web
technology specialists could build an AI app that users were looking for.
summary, end users wanted a simple web app to view the results of AI algorithms
and data scientists wanted a platform to build AI web apps easily & faster.
Streamlit addressed both these needs perfectly.
am going to demonstrate how to build a healthcare AI app (and few other
examples) in less than 50 lines of code using streamlit platform. This covers
AI/ML code as well as code for the app including the user interface. We will
start with the functionalities of streamlit and then cover how to build and
host web applications.
those who are new to AI, Machine Learning, Deep Learning, Natural Language
Processing (NLP) and Exploratory Data Analysis (EDA) are included in the
program. Python is also covered extensively to assist those who are looking for
a refresher on python topics or new to python itself.
all, this program can be pursued by both experienced professionals as well as
those who are new to the world of AI.
build stunning web based AI apps!
Who this course is for:
Experienced data scientists
Data scientists who
are starting their career
Web application developers
IT professionals who
want to switch their career to AI.