Machine learning is not just a single task or even a small group of tasks; it is an entire process, one that practitioners must follow from beginning to end. It is this process—also called a workflow—that enables the organization to get the most useful results out of their machine learning technologies. No matter what form the final product or service takes, leveraging the workflow is key to the success of the business's AI solution.
This course is part of the CertNexus Certified Artificial Intelligence Practitioner Professional Certificate
Offered By

About this Course
General knowledge of AI is required, as is experience with Python or similar languages. Basic knowledge of math and statistics is also recommended.
What you will learn
Collect and prepare a dataset to use for training and testing a machine learning model.
Analyze a dataset to gain insights.
Set up and train a machine learning model as needed to meet business requirements.
Communicate the findings of a machine learning project back to the organization.
Skills you will gain
- Artificial Intelligence (AI)
- Machine Learning
- Data Analysis
- Modeling
- Process Management
General knowledge of AI is required, as is experience with Python or similar languages. Basic knowledge of math and statistics is also recommended.
Offered by
Syllabus - What you will learn from this course
Collect the Dataset
Analyze the Dataset
Prepare the Dataset
Set Up and Train a Model
About the CertNexus Certified Artificial Intelligence Practitioner Professional Certificate

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