Ai Applications For Data Mining And Engineering Certificate

Bonisiwe Shabane

-Dec 3, 2025, 6:34 PM

ai applications for data mining and engineering certificate

As artificial intelligence (AI) and machine learning (ML) become ubiquitous across industries, workers at all levels are seeking practical knowledge about AI: its implications, limitations, and uses across various domains. Northeastern’s Graduate Certificate in AI Applications for Data Mining and Engineering is designed for professionals seeking to harness the power of AI within their respective industries who may not have prior programming experience. The program will introduce AI tools, explore how to use AI responsibly, analyze the foundational principles of human-centered AI, and introduce data mining concepts and statistics/machine learning techniques for analyzing and discovering knowledge from... Students from a broad spectrum of academic and professional backgrounds will gain a comprehensive understanding of AI fundamentals and learn effective ways to apply AI applications to their own contexts and products. Through a blend of theoretical knowledge and practical skills development, students will be equipped with the tools to make informed decisions about when and how to leverage AI technologies. By the end of the program, students will gain skills in leveraging AI technologies responsibly, ethically, and effectively within their organizations.

They will be equipped to advocate for the responsible use of AI and mitigate risks associated with AI deployment while also understanding the human-centered aspects of AI development and implementation. Students in the AI Applications for Data Mining and Engineering track will be introduced to data mining concepts and statistics/machine learning techniques for analyzing and discovering knowledge from large data sets in engineering domains... Drawing from data mining case studies, students will explore data reduction, data exploration, data visualization, concept description, mining association rules, classification, prediction, and clustering. This program is available at the Boston and Silicon Valley campuses. Purdue University’s online data and AI graduate certificate programs equip professionals with cutting-edge skills grounded in both academic excellence and real-world application. Designed to bridge the gap between research and industry, these flexible, accelerated certificate programs empower learners to master artificial intelligence and data science tools and techniques.

Both certificates deliver the same academic rigor and expert instruction as Purdue’s on-campus programs, while offering the convenience of fully online learning and the opportunity to build meaningful, career-advancing connections in the field. This certificate is designed for current graduate students who want to add data science coursework to their plan of study or professionals who want to make fast career advancement accessible and affordable. Learn in-demand skills in big data tools, data analytics, and visualization in less time than a traditional master’s degree. This certificate is tailored for current graduate students who want to add in-demand artificial intelligence skills to their plan of study or professionals who want to make fast career advancement accessible and affordable. This certificate will teach skills in large language models, machine learning, architectures and system integration. Complete the form below to learn more about Purdue’s online Data & AI Graduate Certificates.

The form below will be shared with a Purdue enrollment specialist. Purdue University’s 100% online Foundations of Data Science Graduate Certificate offers a flexible path for professionals and graduate students to build essential data science skills without committing to a full master’s program. Through just three graduate-level courses (nine credit hours), students gain hands-on experience in data analysis, programming, machine learning and ethical data practices. Designed for career advancement, the certificate can be completed in as little as one semester and may be applied toward Purdue’s Master of Science in Data Science. With expert faculty, real-world tools and a fully online format, the program delivers a rigorous, affordable credential from a top-ranked university. The Artificial Intelligence for Engineering Data Analytics capstone certificate equips practicing engineers with specialized expertise in AI-driven data analysis as well as design, development, and deployment of AI applications.

Developed by world-class faculty in the UW–Madison College of Engineering, this nine-credit program also provides a pathway for students wishing to apply for admission to the online Master of Engineering in Data Analytics (MEDA)... Designed to meet the growing demand for AI expertise in engineering, the capstone certificate prepares students to apply AI techniques in their professional roles and advance their careers in data analytics and intelligent systems. This fully online certificate accommodates working professionals and can be completed in two or three consecutive semesters. Equivalency to an ABET-accredited program: Applicants who do not have bachelor’s degree from an ABET-accredited program may also qualify for admission to the program. Such applicants must have a BS in science, technology, or a related field with sufficient coursework and professional experience to demonstrate proficiency in engineering practice. Applications are accepted for admission to all three terms (fall, spring, summer).

Note: Adult Career and Special Student Services (ACSSS) is the admitting office for all University Special students. However, the department offering the Capstone Certificate program makes the final admission decision upon review of all applicant materials. NEXT START DATE: Fall 2026 DEADLINE: June 1, 2026 Applications open in January 2026 The Graduate Certificate in Artificial Intelligence (AI) and Machine Learning (ML) for Engineering equips engineers to use modern data-driven AI and ML methods. This certificate can be completed independently or combined with other eligible data-intensive certificates in the College of Engineering to create a stacked Master of Science in Artificial Intelligence and Machine Learning for Engineering. Learn how to use AI and ML methods tailored towards physical, chemical, and engineered systems.

Online, part-time 16-credit graduate certificate with courses that can be adapted to your skills and engineering discipline. You can choose to combine the certificate with another eligible certificate to create a stacked master's degree. Harness the power of artificial intelligence to deliver results—with a clear understanding of growth potential and risk. Choose an industry-specific track to build the AI knowledge you need. Students from a broad spectrum of academic and professional backgrounds will gain a comprehensive understanding of AI fundamentals and learn effective ways to apply AI applications to their own contexts and products. By the end of the program, students will gain skills in leveraging AI technologies responsibly, ethically, and effectively within their organizations.

They will be equipped to advocate for the responsible use of AI and mitigate risks associated with AI deployment while also understanding the human-centered aspects of AI development and implementation. Students from a broad spectrum of academic and professional backgrounds will gain a comprehensive understanding of AI fundamentals and learn effective ways to apply AI applications to their own contexts and products. By the end of the program, students will gain skills in leveraging AI technologies responsibly, ethically, and effectively within their organizations. They will be equipped to advocate for the responsible use of AI and mitigate risks associated with AI deployment while also understanding the human-centered aspects of AI development and implementation. Learn the principles of effective data engineering. Build your skills in the high-demand field of data engineering and learn how you can deliver real business value by applying a core set of principles and strategies for developing data systems.

This program is for beginners in the field of data engineering. The only prerequisite knowledge is intermediate Python programming skills. This program is for beginners in the field of data engineering. The only prerequisite knowledge is intermediate Python programming skills. Develop a mental model for the field of data engineering as a whole, including the data engineering lifecycle and its undercurrents. Learn a framework for approaching any data engineering project you work on so you can effectively create business value with data.

Do you wish to be an AI engineer? You must understand very well that the demand for Artificial Intelligence engineers is increasing day by day. After the launching of ChatGpt and Brand – Google AI tool, most software developers and IT engineers are switching their careers to AI and machine learning. Artificial Intelligence is an exciting term to understand as it was developed and being used to help human work efficiently by taking some of their tasks. AI robots are programmed and created to handle tasks which take a lot of time to complete by humans. If you are interested in building one, check out our article of the Best Artificial Intelligence Courses and Certifications.

With the exponentially growing market of Artificial Intelligence, the market value reached approximately $100 billion in 2023. As per a report from Grand View Research, It assumes that the AI market is expected to reach around $ 2 trillion by 2030. With 10 years of experience, AI engineers charge up to $100 per annum, despite the fact that AI engineering is still a relatively new career path. The average salary for AI engineers in the US is $110K.There are various industries such as aerospace, healthcare, automotive, and manufacturing that have adopted AI. To become a part of the AI world, you should check the compiled list of Best AI Courses Online. Our product recommendations are unbiased and based on an independent review process.

We may receive a commission for links to recommended partners. See our advertiser disclosure for more information. AI is transforming industries from software development and data science to finance, healthcare, transportation and entertainment. Our Artificial Intelligence BSc is designed to address the transformational challenges and opportunities presented by this technology to modern businesses and society. You’ll learn to design, develop and deploy intelligent systems across domains such as robotics and game design. The course equips you with technical skills in computer science, such as programming and data processing, while also building your communication and problem-solving abilities for the modern workplace.

This course blends fundamental theory with practical experience to equip you with the cutting-edge skills needed to build and apply AI systems. You’ll study core principles such as logic, statistics, and algorithms, and apply them in real-world contexts like computer vision and natural language processing. Your learning will span established areas such as programming and database management, alongside emerging topics like large language models and prompt engineering. You’ll also gain hands-on experience through a short-term work-based project, often set by an external organisation, allowing you to apply what you’ve learned to a real-world business problem. In addition, you can choose to complete a year in industry after your second year, giving you valuable work experience and furthering your career prospects. Our Careers and Employability Service, alongside the course team, will support you in finding and securing placement opportunities in AI-related roles.

Ai Applications For Data Mining And Engineering Certificate

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As Artificial Intelligence (AI) And Machine Learning (ML) Become Ubiquitous

They Will Be Equipped To Advocate For The Responsible Use

Both Certificates Deliver The Same Academic Rigor And Expert Instruction

The Form Below Will Be Shared With A Purdue Enrollment

Developed By World-class Faculty In The UW–Madison College Of Engineering,