Track Details

AI Developer

Overview

Build and ship ML demos: Python/Colab, pandas, train/test, baselines, intro Keras, Git/GitHub, and a simple Streamlit/Gradio UI; ethics in context.

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8 Levels

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40 Assessment

Tracks Overview

Certification partners

In collaboration with University of Delaware and Academy of Leeds, aligned to their education quality frameworks.

Tracks Overview

Modules

Levels

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Pro Dev Practices

Notebooks, Git flow, reviews.

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20 Hours

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20 Lectures

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8 Assessment

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Classic ML → Intro NN

Baselines; Keras starter.

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20 Hours

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20 Lectures

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8 Assessment

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Product & Ethics

Problem framing, eval, safe use.

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20 Hours

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20 Lectures

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8 Assessment

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UI & Deployment Basics

Streamlit/Gradio demo + README.

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20 Hours

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20 Lectures

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8 Assessment

Track Projects

  • End-to-End Mini App: Students build a complete application with training and testing components.
  • Neural Net Mini-Lab: Students create a simple neural network model using the Keras framework.
  • Usability + Ethics Review: Students conduct user testing and create ethical guidelines for their applications.

Capstone

AI Application Development: Students build a complete AI application with comprehensive documentation and a demonstration video. This project demonstrates their technical proficiency and ability to communicate their work effectively.

Work smart not hard

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