Solve Business Problems with AI and Machine Learning
Learn to identify, implement, and manage AI/ML solutions for business challenges while ensuring ethical practices and data privacy.
Learn to identify, implement, and manage AI/ML solutions for business challenges while ensuring ethical practices and data privacy.
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.
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What you'll learn
Identify suitable AI/ML applications for business problems
Formulate effective machine learning approaches
Select appropriate tools for ML implementation
Implement data privacy and ethical practices
Develop practical AI solutions for business challenges
Manage AI projects with ethical considerations
Skills you'll gain
This course includes:
2.1 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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 4 modules in this course
This comprehensive course focuses on applying artificial intelligence and machine learning to solve real business problems. Students learn to identify appropriate AI/ML applications, formulate machine learning approaches, and select suitable tools while maintaining ethical practices and data privacy. The curriculum covers the complete machine learning workflow, from problem identification to solution implementation, with emphasis on practical business applications and responsible AI development.
Apply AI and ML to Business Problems
Module 1 · 3 Hours to complete
Select Appropriate Tools
Module 2 · 1 Hours to complete
Promote Data Privacy and Ethical Practices
Module 3 · 3 Hours to complete
Apply What You've Learned
Module 4 · 2 Hours to complete
Fee Structure
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
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Frequently asked questions
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