Big Data and AI Integration in Business Strategy Micro-Certificate

Ready to transform data into strategic advantage? This micro-certificate empowers you with the advanced skills and knowledge to harness big data and artificial intelligence for business innovation and problem-solving.

You’ll dive into key topics like predictive analytics and data management, where you'll learn to collect, process, and analyze massive datasets. You'll also explore how to integrate machine learning models with big data pipelines to generate actionable insights and intelligent solutions. Finally, you'll critically examine the ethical dimensions of AI and big data, learning how to address privacy concerns and mitigate bias in real-world applications.

This is a micro-certificate for everyone! It starts at the beginning and takes you through a thorough understanding of AI and Data. No computer science background required.

By the end of the program, you’ll be equipped to design scalable, responsible AI-driven strategies that make a measurable impact across industries.

This micro-certificate includes 3 micro-courses:

• Foundations of Big Data Technologies: Describe advanced big data tools and platforms for collecting, storing, and processing massive datasets. Differentiate between structured and unstructured data at scale to generate actionable business and operational insights.
• AI Integration with Big Data: Explain machine learning models with big data pipelines to develop predictive and prescriptive solutions. Discuss the process of developing and implementing AI-driven applications that process and interpret large-scale datasets, including text and image data.
• Ethics and Applications of Big Data and AI: Identify and mitigate ethical challenges, data privacy concerns, and potential biases in big data and AI systems. Create and present a proposal for a solution to a real-world big-data and AI problem. Critically assess the scalability, efficiency, and impact of big data and AI solutions across various domains.

Some of the skills that you will gain are:
Predictive Analytics, Data Management, Data Visualization, Intelligence Extraction, Big Data

Competencies:

• Evaluate big data tools and platforms and analyze structured and unstructured data to generate business insights and assess the scalability and impact of big data and AI solutions.
• Design and implement AI-driven applications that integrate machine learning models with big data pipelines to process, interpret, and generate predictive and prescriptive solutions from large-scale datasets. (No computer science background required.)
• Develop a proposal for a real-world big data and AI solution that addresses ethical challenges, data privacy concerns, and potential biases.

Learning Objectives:

1. Describe advanced big data tools and platforms for collecting, storing, and processing massive datasets.
2. Differentiate between structured and unstructured data at scale to generate actionable business and operational insights.
3. Explain machine learning models with big data pipelines to develop predictive and prescriptive solutions.
4. Discuss the process of developing and implementing AI-driven applications that process and interpret large-scale datasets, including text and image data.
5. Identify and mitigate ethical challenges, data privacy concerns, and potential biases in big data and AI systems.
6. Create and present a proposal for a solution to a real-world big-data and AI problem.
7. Critically assess the scalability, efficiency, and impact of big data and AI solutions across various domains.