Course Catalog 
Resources 
Shareable Certificate
Earn a sharable certificate upon completion
Explainable AI (XAI)
This learning track introduces a highly efficient approach for understanding the predictions of any model through Explainable AI methods LIME and SHAP, their working principles, outcomes, and application on relevant business problems.
-
3 Courses
-
4 Projects & Case Studies
-
Difficulty: Advanced
Prior knowledge or professional experience is highly recommended
-
Duration: Approximately 5 Weeks
Suggested learning pace is 5hr/week
Course Overview
- Learn the fundamental concepts, working principle and applications of Explainable AI – LIME and SHAP methods.
- Learn how to apply LIME methodology to obtain a detailed understanding of model predictions further used for model comparison and model selection.
- Learn how to apply SHAP methodology to obtain a detailed understanding of model predictions further used for model comparison and model selection.
- Learn how to apply the concepts learned on live data across industries and interpret the modelling results.
What’s included
Lifetime Access
Access this learning track for life once completed
Flexible Scheduling
Start learning online immediately, at your own pace
Desktop Only
We recommend completing this learning track on a desktop
Skills You Will Learn
- Introduction to Explainable AI (XAI) using LIME
- Introduction to Explainable AI (XAI) using SHAP
- Introduction to Explainable AI (XAI) for Text using LIME & SHAP
- Predicting Car Price using XAI
- Credit Risk Modelling – Probability of Default: Model Comparison & XAI
- Analyzing House Sales Using XAI
- Predicting Income Using Adult Census Data – Supervised ML Model Comparison & Explainable AI
How it Works
Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.
With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.
Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.
Learner Outcomes
Complete learning tracks to earn sharable certificates and badges. These awarded items will look great in your portfolio as you showcase your skills, projects, and experience to employers and colleagues.
- Develop a working understanding of Explainable AI, its importance and its application through the LIME and SHAP methods.
- Ability to apply LIME methodology to thoroughly understand the modelling results further used to compare models’ performance and model selection.
- Ability to apply SHAP methodology to thoroughly understand the modelling results further used to compare models’ performance and model selection.
- Interpret and visualize the outcome of the various applied techniques.
“Rolai provides contextual upskilling opportunities … on one single platform.”
“An excellent tool for anyone who wants to quickly learn the ropes.”
“Rolai is the best program available for someone looking to enhance their skills”
“Great way to learn data analytics and data science”
“The courses were excellent and covered topics that I didn’t expect”
Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.
Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.
No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.
- We have internal SMEs across industries and domains that we work with to develop relevant content and assure quality datasets and problem statements.
- We also work with enterprises and universities to develop new content directed towards their industry and expertise.
