ONLINE COURSE
Data Leadership: AI, Cloud & Governance
Lead with Data. Deliver Impact.
Overview
This 8-week online program from MIT Professional Education equips professionals with practical tools to turn data into strategic action across industries. Designed for business leaders, managers, and technical professionals, it blends data strategy, modern technologies, and leadership skills for impactful results.
Why Enroll in This Course?
Drive digital transformation in your organization by connecting business strategy with data capabilities.
Architect data-driven solutions to improve operational efficiency and competitive edge.
Build a culture of data-driven decision-making across teams and business functions.
Explore cloud data platforms, AI integrations, and modern data architectures for business success.
Join two live sessions with MIT instructors, plus up to eight interactive sessions with industry experts, learning facilitators, and global peers.
Gain access to curated supplementary resources that deepen your understanding and extend your learning beyond the core modules.
What Will You Learn?
Data governance and its application in organizations to maximize the value of data assets.
To build an organizational culture that incorporates the use of technology
To extract information and insights from various sources of raw data
Successful data-based decision-making skills to drive strategic growth and operational efficiency
To apply DevOps to optimize data systems for organizational advancement
To use current tools to leverage the data overseen by the organization
To understand how cloud, machine learning, and data storage technologies enhance the speed and scalability of contemporary data systems.
Course Outline
The overarching goal of data leadership is to make relevant data accessible to decision-makers at every level of the organization. Data leadership serves to recognize and anticipate market changes, and therefore respond quickly to trends and changes in customer preferences.
Gain Experience with Essential Data Leadership Tools
ChatGPT – Generate insights and automate text with conversational AI
Google Cloud – Scale data processing and storage in the cloud
Power Apps – Build custom business applications with low-code
Power BI – Create interactive dashboards and visual analytics
Tableau – Visualize and explore complex datasets intuitively
Snowflake – Manage and query data efficiently on the cloud
BigQuery – Perform fast SQL-based analytics on large datasets
Databricks – Accelerate machine learning and data engineering workflows
Apache Kafka – Stream and process real-time event data
GitHub Actions – Automate CI/CD workflows and data pipelines
Note: Tools listed are indicative and may be updated as per curriculum enhancements.
Who Is This Online Course For?
Management level professionals and executives looking to champion a data-driven approach in their organizations to be able to make informed decisions.
More established organizations as well as younger start-ups seeking to improve data management and processing.
Professionals and executives in data management roles Chief of Data Analytics, Chief of Data, Chief of Machine Learning.
Organizations with a medium to high number of databases and medium-high data volumes that need to integrate and connect their sources with their databases to better leverage their use.
Other roles with significant responsibility wanting to improve their data analytics and optimize their utilization.
Organizations that operate with legacy systems, such as SAP, need to update their data structure.
Instructors
Executive Director of MIT’s Geospatial Data Center, Research Scientist; Center for Complex Engineering Systems, Sociotechnical Systems Research Center, under the Schwarzman College of Computing.
Professor of Information Engineering, Civil and Environmental Engineering and Director of MIT Geospatial Data Center, and a faculty member in the Center for Computational Science and Engineering part of the Schwarzman College of Computing.
Past Participants Profile
Work Experience
Top Industries
Top Countries
Participant Testimonials
Certificate
All the participants who successfully complete their program will receive an MIT Professional Education Certificate of Completion, as well as Continuing Education Units (CEUs)*.
To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.
*The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program.
To understand whether or not these CEUs may be applied toward professional certification, licensing requirements, or other required training or continuing education hours, please consult your training department or licensing authority directly.
MIT Professional Education in Numbers
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