Ementorhub

What you'll 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'll gain

Statistical Analysis

Machine Learning

Algorithms

Solution Delivery

Exploratory Data Analysis

Artificial Intelligence and Machine Learning (AI/ML)

Data Analysis

Workflow Management

Data Modeling

Application Deployment

Predictive Modeling

Applied Machine Learning

MLOps (Machine Learning Operations)

Data Collection

There are 6 modules in this course

This second course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate explores each step along the machine learning workflow, from problem formulation all the way to model presentation and deployment. The overall workflow was introduced in the previous course, but now you'll take a deeper dive into each of the important tasks that make up the workflow, including two of the most hands-on tasks: data analysis and model training. You'll also learn about how machine learning tasks can be automated, ensuring that the workflow can recur as needed, like most important business processes. Ultimately, this course provides a practical framework upon which you'll build many more machine learning models in the remaining courses.

Analyze the Dataset

Prepare the Dataset

Set Up and Train a Model

Finalize the Model

Apply What You've Learned