Leveraging AI Technologies for Business Micro-Certificate

Ready to harness the power of Artificial Intelligence to drive business innovation? This micro-certificate equips you with the essential knowledge and practical skills to understand, apply, and evaluate AI technologies across a wide range of industries.

You’ll dive into key topics like Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision—learning how these technologies work and how they’re transforming business operations. You’ll also explore how to apply AI tools to real-world business problems, analyze datasets for insights, and evaluate the ethical implications of AI in business settings.

Through hands-on projects, case studies, and exposure to popular AI platforms, you’ll gain the confidence and skills to make informed decisions and lead responsibly in an AI-driven world.

This micro-certificate includes 3 micro-courses:

Foundations of AI Technologies: Define key concepts and terminologies in Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. Explain the fundamental principles of algorithms and neural networks used to train AI models.

Applying AI Techniques in Business: Identify appropriate AI technologies for specific business use cases. Apply basic Machine Learning techniques to analyze datasets and draw business insights. Describe the capabilities and limitations of Natural Language Processing and Computer Vision in business applications.

AI in Business Contexts and Ethical Considerations: Discuss the ethical considerations surrounding the use of AI in business settings. Analyze real-world case studies of AI applications in various business domains, such as marketing, finance, operations, and customer service.

Some of the skills that you will gain are:
 Machine Learning (ML), Natural Language Processing (NLP), AI, Computer Vision Applications, Deep Learning, Neural Networks

Competencies:

• Explain key concepts and terminologies in Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision and explain the fundamental principles of algorithms and neural networks to train AI models.
• Identify appropriate AI technologies for business use cases, apply basic machine learning techniques to analyze datasets, and describe the capabilities and limitations of Natural Language Processing and Computer Vision in business.
• Analyze ethical considerations surrounding AI use in business and evaluate real-world AI applications in various business domains.

Learning Objectives:

1. Define key concepts and terminologies in Machine Learning, Deep Learning, Natural Language Processing and Computer Vision
2. Explain the fundamental principles of algorithms, neural networks and how they are used to train AI models
3. Identify appropriate AI technologies for specific business use cases
4. Apply basic Machine Learning techniques to analyze datasets and draw business insights
5. Describe the capabilities and limitations of Natural Language Processing and Computer Vision in business applications
6. Discuss the ethical considerations surrounding the use of AI in business settings
7. Analyze real-world case studies of AI applications in various business domains, such as marketing, finance, operations, and customer service