Pearson Vue Certified IT Specialist Artificial Intelligence Training

Topic 1: AI Problem Definition 

Identify the problem you are trying to solve using AI

Classify the problem

Identify the areas of expertise needed to solve the problem

Build a security plan

Ensure that AI is used appropriately

Choose transparency and validation activities

Topic 2: Data Collection, Processing, and Engineering

Choose the way to collect data

Assess data quality

Ensure that data are representative

Identify resource requirements

Convert data into suitable formats

Select features for the AI model

Engage in feature engineering

Identify training and test datasets

Document data decisions

Topic 3: AI Algorithms and Models 

Consider applicability of specific algorithms

Train a model using the selected algorithm

Select specific model after experimentation

Tell data stories

Evaluate model performance

Look for potential sources of bias in the algorithm

Evaluate model sensitivity

Confirm adherence to regulatory requirements

Obtain stakeholder approval

Topic 4: Application Integration and Deployment

Train customers on how to use the product and what to expect

Plan to address potential challenges of models in production

Design a production pipeline, including application integration

Support the AI solution

Topic 5: Maintaining and Monitoring AI in Production 

Engage in oversight

Assess business impact

Measure impacts on individuals and communities

Handle feedback from users

Consider improvement or decommission on a regular basis