About Predictive AI

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The Predictive AI course provides an overview of predictive concepts, models, and best practices, exploring their application across diverse business scenarios. It also offers practical insight into model training, learning methods, and data preparation techniques, enabling predictive technologies to be applied with confidence and precision.

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Program Structure  

• 100% online  

• Self-paced  

• 3 modules (30 hours total)  

• Includes video lessons and quizzes  

• Certificate of Completion provided  

 

Modules

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Fundamental Predictive AI  

• Predictive AI drivers, benefits, and challenges

• Business applications and use cases

• Types of predictive AI and learning approaches

• Model training, data preparation, and learning processes

• Functional designs: computer vision, NLP, robotics, speech recognition

• AI models and neural networks

 

Advanced Predictive AI  

• Supervised and unsupervised learning fundamentals

• Core analytics techniques and processes

• Data preparation: feature encoding, imputation, and wrangling

• Dimensionality reduction methods

• Model evaluation, optimization, and overfitting prevention

• Transfer learning basics

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Predictive AI Lab  

• This module will provide hands-on lab exercises to apply predictive AI techniques, test models, and reinforce practical understanding in real-world scenarios.