Certified Artificial Intelligence (AI) Practitioner (CAIP)
Who Should Attend
The skills covered in this course converge on three areas—software development, applied math and statistics, and business analysis. Target students for this course may be strong in one or two or these of these areas and looking to round out their skills in the other areas so they can apply artificial intelligence (AI) systems, particularly machine learning models, to business problems.
Specify a general approach to solve a given business problem that uses applied AI and ML.
Collect and refine a dataset to prepare it for training and testing.
Train and tune a machine learning model.
Finalize a machine learning model and 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 and ethical practices within AI and ML projects.
Identify AI and ML Solutions for Business Problems Follow a Machine Learning Workflow Formulate a Machine Learning Problem Select Appropriate Tools
Collect the Dataset Analyze the Dataset to Gain Insights Use Visualizations to Analyze Data Prepare Data
Set Up a Machine Learning Model Train the Model
Translate Results into Business Actions Incorporate a Model into a Long-Term Business Solution
Build Regression Models Using Linear Algebra Build Regularized Regression Models Using Linear Algebra Build Iterative Linear Regression Models
Train Binary Classification Models Train Multi-Class Classification Models Evaluate Classification Models Tune Classification Models
Build k-Means Clustering Models Build Hierarchical Clustering Models
Build Decision Tree Models Build Random Forest Models
Build SVM Models for Classification Build SVM Models for Regression
Build Multi-Layer Perceptrons (MLP) Build Convolutional Neural Networks (CNN) Build Recurrent Neural Networks (RNN)
Protect Data Privacy Promote Ethical Practices Establish Data Privacy and Ethics Policies
Enroll in this course
Select a start date for your 5 Day course
This course begins at 9:00 Eastern
And ends at 17:00 Eastern
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