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AI Applications in Engineering
Solve modern engineering problems with AI. Build smarter simulations, boost performance, and drive innovation through predictive tools and NLP strategies.
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Course description
Artificial intelligence is accelerating the pace of change in engineering. From streamlining documentation to predicting system failures, AI is transforming how engineers solve problems and improve performance. This course helps learners harness AI to model complex scenarios, analyze performance metrics, and develop tools for more efficient communication and safer systems.
You'll build engineering simulations that integrate neural networks, explore the use of natural language processing (NLP), and design predictive maintenance strategies. Along the way, you’ll also learn how to overcome data quality challenges, evaluate AI outputs, and embed ethical decision-making into your engineering workflow.
This flexible, high-impact course gives professionals the tools they need to thrive in AI-integrated environments. Whether you're enhancing your individual career or equipping your team to innovate with confidence, this course offers the applied skills and forward-looking mindset needed to lead in today's rapidly evolving engineering landscape.
Course outcomes
- Design AI-Driven Simulations
Create engineering simulations using neural networks to improve system accuracy and responsiveness. - Apply NLP in Technical Settings
Use natural language processing to streamline requirements gathering, documentation, and team communication. - Enhance AI Model Performance
Evaluate model outputs with techniques like confusion matrices to improve reliability in applied settings. - Deploy Predictive Maintenance Tools
Use AI to detect anomalies, schedule maintenance, and boost operational efficiency. - Navigate Implementation Challenges
Identify and manage common hurdles such as poor data quality, system integration, and algorithmic bias. - Integrate AI with Engineering Workflows
Strategically embed AI into legacy systems and processes to increase scalability and productivity.
The learning experience
This course is designed for engineers who want to lead innovation in AI-enabled environments. You do not need prior AI experience, but basic familiarity with engineering systems and processes is recommended. You’ll engage with case studies, hands-on projects, and self-paced content in a fully online format, with optional live sessions available for support.
Cost
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This course is designed by RIT and delivered on the edX platform. Enrollment is available exclusively at edx.org. Please visit the edX website to explore more detailed information about pricing options, start dates, time commitment and more.
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Ready when you are
This course is not currently open for enrollment, but that doesn’t mean the opportunity has to wait.
If this course aligns with your goals or your team’s needs, let us know. Your interest helps us plan future sessions and may even accelerate the timeline. We also offer custom options for organizations looking to run tailored versions of this experience.
Hear from the experts
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Insight
Value
Flexible. Applied. Built for business.
Exploring this for your team, not just yourself? You're in the right place. RIT Certified courses and certificates deliver high-impact ROI whether used off the shelf or tailored with our team to align with your workforce strategy. Each offering builds in-demand skills that help teams grow, retain talent, and stay ahead in a world of constant change. We don’t just deliver training. We help you plan for what’s next.
Pathways and certificates
This course is part of a broader mastery certificate.
Explore how it fits into a full learning journey.
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