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Do you want to take this course remotely or in person?
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Course Description: Artificial Intelligence Applied to Business
This course is taught in online mode and consists of 4 units.
The approximate duration of the course is 100 hours distributed between content and collaboration tools. Upon completion, students will receive a certificate of completion.
The training is carried out through our Virtual Campus. With this option, you will have access to all the educational content on the course platform and it will be accessible, from the day the course starts, 24 hours a day, every day of the week. Students will also have access to participation forums, as well as continuous tutoring.
The course fee applies to the Distance learning modality (100% bonus option) In-person and distance learning training actions can be carried out on demand.
Course objectives
- Acquire knowledge about the technologies associated with the company as well as their use.
- Gain knowledge about AI applications in business.
- Implement AI-based applications for use in the enterprise.
Course content
Unit 1: Introduction to AI
- Definition. History
- Branches of AI. Algorithms
- Machine/Deep Learning
- Big data: the change in AI
Unit 2: Reinforcement learning
- Deep learning models
- Examples with Weka/Orange
Unit 3: Applications in the company
- People Analytics
- Prediction: stocks, demands, behaviors
- Segmentation: offer analysis. Identify trends
- Customer loyalty using reinforcement learning
- Web recommenders
- Process improvement
Unit 4: Designing and Implementing an Azure AI Solution (Exam AI-102)*
- Publishing a Machine Learning Experiment with Microsoft Azure Machine Learning Studio
- Evaluating text with Azure Cognitive Language Services
- Speech processing and translation with Azure Cognitive Speech Services
- Building intelligent bots with Azure Bot Service
- Image processing and classification with Azure Cognitive Vision services
(*) Additional content for the preparation of Microsoft AI_102 certification
Laboratory AI-102
Final evaluation
Quality Questionnaire
Prerequisites
There are no technical prerequisites required to take this course. However, basic computer skills and knowledge of environments related to Information Technology are recommended.
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