Certified Artificial Intelligence (AI) Practitioner (CAIP)

Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands on activities for each topic area.

Course Details

Price:

$3,495.00

Days:

Location:

Virtual

Course Overview

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.

A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus® Certified Artificial Intelligence (AI) Practitioner (Exam AIP-110) certification.

1 – Data Analysis Fundamentals

Introduction to data science
Create and modify tables
Sort and filter datasets

2 – Visualizing Data with Excel

Create charts to represent trends and comparisons
Format and style visualizations for clarity
Apply best practices in chart design

3 – Analyzing Data with Formulas and Functions

Use formulas and named ranges for efficient analysis
Apply logical and lookup functions
Build forms, use data validation, and automate inputs

4 – Analyzing Data with PivotTables

Build PivotTables from raw data
Analyze, filter, and summarize results

5 – Building Dashboards in Excel

Use PivotCharts to visualize dynamic data
Add slicers and timelines for interactivity
Combine visual elements into a dashboard

6 – Geospatial Visualizations

Create map charts to show data by location
Customize and interpret map-based visuals

7 – Performing Statistical Analysis

Use sparklines and trendlines to show patterns
Apply the Data Analysis ToolPak for statistical insights

8 – Getting and Transforming Data

Connect to outside data sources with queries
Clean, combine, and shape raw data for analysis

9 – Modeling Data with Power Pivot

Enable Power Pivot and load data models
Use DAX formulas for advanced calculations
Create relationships between datasets

10 – Presenting Insights with Reports (Optional)

Plan and build formatted Excel reports for stakeholders

Class Dates & Times


02/16/2026 - 02/20/2026 Virtual 09:00:00 to 17:00:00 EST Enroll Now $3,495.00
06/15/2026 - 06/19/2026 Virtual 09:00:00 to 17:00:00 EST Enroll Now $3,495.00
11/10/2025 - 11/14/2025 Virtual 09:00:00 to 17:00:00 EST Enroll Now $3,495.00

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