IT Specialist – Artificial Intelligence

Deskripsi
Learning Outcomes:
After joining this course, participants will understand how to:
- Identify the problem we are trying to solve using AI (e.g., user segmentation, improving customer service)
- Classify the problem (e.g., regression, unsupervised learning)
- 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.
- Assess data quality.
- Ensure that data are representative.
- Select features for the AI model.
- Identify training and test data sets.
- Consider the applicability of specific algorithms.
- Train a model using the selected algorithm.
- Evaluate model performance (e.g., accuracy, precision)
- Look for potential sources of bias in the algorithm.
- Obtain stakeholder approval.
- Plan to address potential challenges of models in production.
- Design a production pipeline, including application integration.
- Support the AI solution.
- Assess business impact (Key performance indicators)
- Measure impacts on individuals and communities.
- Consider improvement or decommission on a regular basis.
Investment:
Items |
Online |
Offline* |
Notes |
Training | RP2.300.000 | 3 Days |
|
|
Training & Certification |
RP4.500.000 | 6 Days |
|
Tag
Kurikulum
Curricula:
- AI Problem Definition
- Data Collection, Processing, and Engineering
- AI Algorithms and Models
- Application Integration and Deployment
- Maintaining and Monitoring AI in Production