MIT Professional Education Offers Courses on Emerging Tech
April 13, 2022

Emerging technologies and advanced analytics take the spotlight in MIT Professional Education’s new 2022 short courses.

These cutting-edge professional development opportunities are available to individuals and organizations looking to upskill key talent, enhance their companies’ effectiveness in dealing with pressing challenges, and promote lifelong learning.

“Data-driven transformation is happening across industries; in response, AI and analytics are a key focus in our new offerings. We are seeing fast evolution and new advances taking shape, especially in the areas of no-code AI, graph analytics, sustainability and smart manufacturing. Our goal is to enable more organizations to upscale their workforce and take advantage of these timely opportunities,” said Malgorzata Hedderick, Director of Short Programs at MIT Professional Education.

Registration is now underway. The new course offerings include:

1. No Code Analytics and AI – July 25-28, 2022

- Master key data science concepts and learn frameworks for translating organizational challenges into data science questions without code

- Build predictive machine learning models in no-code environments, anticipate model pitfalls and shortcomings, and lead efforts to make data science more accessible within your organization

2. Graph Algorithms and Machine Learning – August 1-2, 2022

- Broaden your understanding of graph analytics and learn the critical tools and techniques needed for modeling complex relationships

- Enhance your ability to extract valuable insights from large and structured data sets to inform business decisions, accelerate scientific discoveries, increase business revenue, improve quality of service, detect fraudulent behavior, and defend against security threats

3. Advanced Data Analytics for IIoT and Smart Manufacturing – July 18-21, 2022

- Acquire core strategies and frameworks for using data-driven analysis, simulation, automation, and optimization techniques to improve manufacturing processes and deploy Industrial IoT (IIOT) systems

- Put advanced data tools into action by designing, simulating, and testing system improvements based on information extracted from process and production data

“As disruptive technologies continue to evolve and progress, organizations need to advance their knowledge to capitalize on these shifts. We are excited to add new MIT faculty and researchers to our programs to make their invaluable insights more accessible to industry at this pivotal time in global business. These courses will undoubtedly enable organizations and learners to be more competitive and succeed into the future,” said Bhaskar Pant, Executive Director of MIT Professional Education.

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