Certified Artificial Intelligence Practitioner (CAIP) Certification Training

a)    Identify AI and ML Solutions for Business Problems
b)    Formulate a Machine Learning Problem
c)    Select Appropriate Tools 

a)    Collect the Dataset
b)    Analyze the Dataset to Gain Insights
c)    Use Visualizations to Analyze Data
d)    Prepare Data

a)    Set Up a Machine Learning Model
b)    Train the Model 

a)    Translate Results into Business Actions
b)    Incorporate a Model into a Long-Term Business Solution

a)    Build a Regression Model Using Linear Algebra
b)    Build a Regularized Regression Model Using Linear Algebra
c)    Build an Iterative Linear Regression Model

a)    Train Binary Classification Models
b)    Train Multi-Class Classification Models
c)    Evaluate Classification Models
d)    Tune Classification Models

a)    Build k-Means Clustering Models
b)    Build  Hierarchical  Clustering  Mode

a)    Build  Decision Tree Models
b)    Build Random Forest Model Lesson

a)    Build SVM Models for Classification
b)    Build SVM Models for Regression

a)    Build Multilayer Perceptrons (MLP)
b)    Build Convolutional Neural Networks (CNN)

a)    Protect Data Privacy
b)    Promote Ethical  Practices
c)    Establish Data Privacy and Ethics Policies