Follow a Machine Learning Workflow
This course is part of CertNexus Certified AI Practitioner.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full CertNexus Certified Artificial Intelligence Practitioner Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(12 ratings)
2,532 already enrolled
Instructors:
English
Powered by
What you'll learn
Collect and prepare datasets for machine learning
Analyze data for meaningful insights
Set up and train models to meet business requirements
Optimize model performance through iteration
Deploy models in production environments
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
7 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 6 modules in this course
This comprehensive course covers the complete machine learning workflow, from initial data collection to final model deployment. Students learn to prepare and analyze datasets, set up and train models, and implement machine learning solutions in production environments. The curriculum includes hands-on practice with statistical analysis, feature engineering, model optimization, and results communication. Special emphasis is placed on practical implementation and business integration.
Collect the Dataset
Module 1 · 2 Hours to complete
Analyze the Dataset
Module 2 · 3 Hours to complete
Prepare the Dataset
Module 3 · 1 Hours to complete
Set Up and Train a Model
Module 4 · 4 Hours to complete
Finalize the Model
Module 5 · 1 Hours to complete
Apply What You've Learned
Module 6 · 6 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: CertNexus Certified AI Practitioner
Instructor
AI Ethics Pioneer Renée Cummings Champions Justice and Equity in Technology
Renée Cummings stands at the forefront of AI ethics as a distinguished criminologist, Columbia University community scholar, and influential thought leader who combines her expertise in criminal psychology with artificial intelligence advocacy. Her groundbreaking work focuses on developing diverse, equitable, and inclusive AI systems while addressing their unintended consequences through justice-oriented design principles. As a dynamic speaker and mentor, she has established herself as a powerful voice in transforming how organizations and governments approach AI implementation, specializing in AI for social good and policy governance. Through her role as Data Activist-in-Residence at the University of Virginia's School of Data Science and co-director of the AI Equity Lab at the Brookings Institute, Cummings employs creative storytelling to make complex technological concepts accessible, while consistently advocating for AI solutions that empower underserved communities and promote social justice
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.