Login / Register

Shopping cart

Pearson VUE IT Specialist: Artificial Intelligence

Last Update:

October 7, 2025

Accredited by:

Course Description:

Artificial Intelligence (AI) is one of the fastest-growing areas of information technology today, transforming the way we think, learn, and work. A certification in AI can help open a world of high-paying opportunities in industries everywhere.

The Artificial Intelligence course — part of the IT Specialist Certification — covers the entire field of AI. From defining the AI problem that needs to be solved, managing the data, and building an AI model to solve it, to producing, deploying, and monitoring the model in an application. The course is specifically designed to train you for the IT Specialist Artificial Intelligence Certification.

An IT Specialist Artificial Intelligence Certification is proof of your ability to understand AI concepts and use the tools necessary to create AI applications.

Course Objectives:

In this course, you will prepare for the professional use of AI by identifying how AI can be used to solve problems. You will:

  • Describe the fundamentals of AI
  • Define the problem you want to resolve with AI
  • Extract and transform data to be ready to be analyzed
  • Analyze and visualize prepared data
  • Design an ML approach and test your hypothesis
  • Train and evaluate a classification model
  • Train and evaluate a regression model
  • Train and evaluate a cluster model
  • Launch an AI/ML project
  • Deploy and monitor an AI/ML model in production

Target Audience:

This course should appeal to any student with the motivation to become an AI-enabled learner, as well as those who are curious about the professional applications of AI, ML, and associated technologies, and their use in research and career fields.

Prerequisites:

None

 

Training Content

Lesson 1: Reviewing AI Fundamentals
  • Topic A: AI Concepts.
  • Topic B: Uses for AI.
  • Topic C: Benefits of AI.
  • Topic D: Challenges of AI.
Lesson 2: Defining the Problem for AI
  • Topic A: Machine Learning Workflow.
  • Topic B: Formulate the Machine Learning Problem.
  • Topic C: Select AI/ML Tools.
Lesson 3: Accessing and Managing Data for AI
  • Topic A: Collect and Assess Data.
  • Topic B: Extract Data.
  • Topic C: Transform Data.
  • Topic D: Load Data
Lesson 4: Analyzing Data
  • Topic A: Examine Data.
  • Topic B: Analyze Data Distribution.
  • Topic C: Visualize Data
  • Topic D: Preprocess Data for AI and ML.
Lesson 5: Designing a Machine Learning Approach
  • Topic A: Identify ML Algorithms.
  • Topic B: Test a Hypothesis.
Lesson 6: Developing Classification Models
  • Topic A: Select, Train, and Tune Classification Models.
  • Topic B: Evaluate Classification Models.
Lesson 7: Developing Regression Model
  • Topic A: Train Regression Models.
  • Topic B: Regularize Regression Models.
  • Topic C: Evaluate Regression Models.
Lesson 8: Developing Cluster Models
  • Topic A: Train and Tune Cluster Models.
  • Topic B: Evaluate Cluster Models.
Lesson 9: Launching an AI/ML Project
  • Topic A: Security and Privacy in AI/ML Projects.
  • Topic B: Considerations for Ethical Use of AI/ML.
  • Topic C: Communicate Results.
Lesson 10: Deploying and Monitoring an AI/ML Model in Production
  • Topic A: Communicate Model Capabilities and Limitations.
  • Topic B: Deploy and Test Models in Apps.
  • Topic C: Support and Monitor AI/ML Solutions.

Price From:

RM995.00

Enquire for More Info

Courses You May Like

CERTIFICATION

CERTIFICATION

Huawei HCIA-Cloud Service v3.5

5 Days

Intermediate

RM5,500.00

CERTIFICATION

CERTIFICATION