Certified AI Practitioner
Solving business challenges through Artificial Intelligence and Machine Learning
Course Overview
10 Half Days as a Virtual Classroom
Attend the 10 half days virtual classroom and you will be able to:
○ Solve a business problem that uses applied AI and ML
○ Collect & refine a dataset to prepare it for training and testing
○ Train and tune a machine learning model
○ Finalise a machine learning model
○ Present the results to the appropriate audience
○ Build linear regression models
○ Build classification models
○ Build clustering models
○ Build decision trees and random forests
○ Build support-vector machines (SVMs)
○ Build artificial neural networks (ANNs)
○ Promote data privacy & ethical practices within AI & ML projects
Programme Agenda:
Lesson 1: Solving Business Problems Using AI and ML
Lesson 2: Collecting and Refining the Dataset
Lesson 3: Setting Up and Training a Model
Lesson 4: Finalizing a Model
Lesson 5: Building Linear Regression Models
Lesson 6: Building Classification Models
Lesson 7: Building Clustering Models
Lesson 8: Building Advanced Models
Lesson 9: Building Support-Vector Machines
Lesson 10: Building Artificial Neural Networks
Lesson 11: Promoting Data Privacy and Ethical Practices