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AI Applications in Engineering

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Blueprint for impact

Get a look at the pillars shaping this course.

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Flexible. Applied. Built for business.

Exploring this for your team, not just yourself? You’re in the right place. This course is still in development, making it an ideal time to explore how it could support your workforce goals. Whether you're planning ahead or seeking a strategic fit, we’ll help tailor the experience so it delivers value for your team from day one.

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AI Applications in Engineering

RITx Course
CE-AIAP-1000

Solve modern engineering problems with AI. Build smarter simulations, boost performance, and drive innovation through predictive tools and NLP strategies.

Online
8 Weeks
Entry Level

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

Why this course matters
Employer Demand
Employer Demand
This demand score is based on real-time job posting data from Lightcast. It reflects employer demand for the skills taught in this course, drawn from millions of job listings across industries and regions.
Enroll now

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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Skills taught in this course
Generative Artificial Intelligence
Artificial Intelligence Risk
PyTorch (Machine Learning Library)
Machine Learning Algorithms
Machine Learning Model Training
Pandas (Python Package)
Top job titles using these skills
Job Titles
These top job titles and salary ranges are based on real-time job posting data from Lightcast. They reflect roles that commonly seek the skills taught in this course, drawn from millions of listings across industries and locations.
General Managers
$
80256
k
/yr
Network and Systems Engineering
$
131968
k
/yr
Software Development / Engineering Manager
$
193280
k
/yr
IT Managers
$
131968
k
/yr
Engineering Managers
$
181120
k
/yr
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Badge awarded upon completion.
Credly Badge
Upon successful completion, you’ll earn a digital badge from RIT Certified via Credly. It’s shareable, verifiable, and showcases your skills to employers on LinkedIn, resumes, and more.

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This course may have multiple start dates.
Choose the one that works best for you.

AI Applications in Engineering
CE-AIAP-1000
-
25FA8.001
Online
Drop request deadline
Oct 7, 2025
$
1500.00

You will be directed to our secure course registration and payment system.

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.

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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.

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