Machine-Learning Advanced Premium

Explainable AI Development Virtual Internship

In this advanced virtual internship, students will learn to build interpretable machine learning models and develop techniques to explain model decisions. The goal is to improve trust and transparency in AI systems, which is crucial as these technologies become more prevalent. Students will gain hands-on experience with state-of-the-art explainable AI methods and apply them to real-world machine learning problems. Upon completion, students will be equipped with the skills to develop AI systems that are more understandable and trustworthy.

weeks
8 tasks
0 enrolled
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Track price: $49.00

Track Overview

This track provides hands-on experience and real-world projects to build your skills.

Tasks & Milestones

Understand Explainable AI Techniques

Advanced

In this task, you will learn about the key explainable AI techniques and their underlying principles.

8 hours

Implement a Simple Explainable AI Model

Advanced

In this task, you will implement a simple machine learning model and apply an explainable AI technique to understand its decision-making process.

12 hours

Implement an Interpretable Decision Tree Model

Advanced

In this task, you will implement a decision tree model and apply techniques to improve its interpretability.

15 hours

Implement an Interpretable Linear Model

Advanced

In this task, you will implement a linear model and apply techniques to improve its interpretability.

15 hours

Implement SHAP for Interpreting Neural Networks

Advanced

In this task, you will use the SHAP (Shapley Additive Explanations) technique to interpret the predictions of a neural network model.

20 hours

Implement LIME for Interpreting Image Classification Models

Advanced

In this task, you will use the LIME (Local Interpretable Model-Agnostic Explanations) technique to interpret the predictions of an image classification model.

20 hours

Create Visualizations to Explain Model Decisions

Advanced

In this task, you will create visualizations to effectively communicate the decisions and explanations of your machine learning models.

15 hours

Develop a Narrative to Explain Model Decisions

Advanced

In this task, you will create a narrative to effectively communicate the decisions and explanations of your machine learning models to stakeholders.

15 hours

Prerequisites

  • • Strong programming skills in Python
  • • Familiarity with machine learning concepts and algorithms
  • • Experience with popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)

Certificate

Certificate of Completion

Earn a certificate upon successful completion