Program Name:
Artificial Intelligence
Duration:
40 hrs
- Identify the problem we are trying to solve using AI (e.g., user segmentation, improving customer service)
- 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
- 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 data sets
- Document data decisions
- Consider applicability of specific algorithms
- Train a model using the selected algorithm
- Select specific model after experimentation, avoiding Overengineering
- 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
- Train customers on how to use product and what to expect from it.
- Plan to address potential challenges of models in production
- Design a production pipeline, including application integration
- Support the AI solution
- Engage in oversight
- Assess business impact (key performance indicators)
- Measure impacts on individuals and communities
- Handle feedback from users
- Consider improvement or decommission on a regular basis
