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Build a Python Chatbot for EdTech Support
Deepthi Peri
Deepthi Peri
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Build a Python Chatbot for EdTech Support

Learn how to use Python to build an NLP Chatbot that answers EdTech support questions.

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Thursdays
 at
7:30
P.M.
 ET /
4:30
P.M.
PT
8 weeks, 2-3 hours per week
Intermediate
No experience required
No experience required
Some experience required
Degree and experience required

Description

By the end of the Build Project, you'll prepare two Chatbots in the form of working code on GitHub repository / PRD - A very simple rule based Chatbot and a Predictive Chatbot using ML. You will also learn about how to use large language models to build an advanced Chatbot that builds upon the previous two. Your solution should have working code, emulate a real-life chatbot that can answer questions, and have a PRD that meets industry standards). In the final project session, you'll present your results to the Build Fellow in a format that mimics a job interview (so you’re ready to discuss your work in real-life interviews).

Session timeline

  • Applications open
    May 27, 2024
  • Application deadline
    June 23, 2024
  • Project start date
    Week of July 8, 2024
    Week of
    July 8, 2024
  • Project end date
    Week of

What you will learn

  • Use advanced Python for pre-processing data, creating a usable GUI and train an ML model
  • Learn howchatbots and Large Language Models work
  • Build an end-to-end Software Development project through PRD, Design, Development, Deployment and Testing process
Build Projects are 8-week experiences that operate on a rolling basis. Selected participants engage in weekly live workshops with a Build Fellow and 2-15 other students.

Project workshops

1
Introductions
2
Requirements and Design
3
Data
4
Chatbots
5
ML Models
6
Testing and Metrics
7
Deployment Strategies
8
Final Presentations

Prerequisites

  • Basic knowledge of NLP: you should be able to do basic text preprocessing (tokenization, stemming, etc.) and should have basic understanding of text models and machine learning concepts like supervised learning, model evaluation, and training data preparation.  
  • Basic knowledge of Python: you should understand basic Python syntax, data structures (lists, dictionaries, etc.), functions, and control flow. You should be also familiar with fundamental Python libraries (NumPy, Pandas) and their usage for data manipulation.  
  • Other prerequisites: before the project starts, you'll need to have Python 3.5/3.6 installed on your computer, as well as VS Code (or another code editor of your choice).  
  • Interest in AI and Large Language Models

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About the expert

Deepthi Peri is a Software Product Manager at MarchingOrder and a Computer Science Fellow at Open Avenues. She has a Masters in Computer Science from Virginia Tech with a specialization in NLP and Machine Learning. At MarchingOrder, Deepthi works on developing new AI-based products to enhance the commencement and graduation experience for Students and Coordinators alike. In her free time, she enjoys reading, karaoke and digital art.

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