The course offers opportunities for professionals from various business fields to specialize in the implementation of artificial intelligence (AI) and machine learning (ML) projects. The course is also addressed to companies that want to increase their capabilities to generate projects and solutions in the field of AI by specializing business managers in this field so that they are the driver of change and adaptation of the company to new technologies.
This course aims to:
• Familiarity with key concepts of AI and ML and their use in various industries
• Identify improvements through the implementation of ML in the participants' activities
• Lead the implementation of ML in their area of activity
• Documentation of the first problem statement for a ML project
• Interpreting and using model results even without a solid statistical background
- Familiarity with key AI and ML concepts and their use in various industries
- Identifying improvements by implementing ML in participants' activities
- Lead the implementation of ML in their area of activity
- Documenting the first finding of a problem for an ML project
- Interpreting and using model results even without solid statistical training
There are no certification prerequisites for this course.
• Key concepts
• AI Transformation Playbook
• Need for AI Product Owner
• AI strategy
• Selection of AI solutions
• Building teams in the delivery of AI projects
• Life cycle of an Artificial Intelligence project
• Rapid experimentation in AI
• Defining your own project
• Identify your data and how you can use it
• Analysis of business requirements
• Key metrics in evaluating model performance and building custom metrics
• Integrate machine learning models into your existing workflow
• Responsibilities of the AI Product Owner
There are no recommendations at this time.
After this course, you will receive a certificate of completion.
