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Building a No-Code or Low-Code AI Application

This course is still in development, but the foundation is set.
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Blueprint for impact

Get a look at the pillars shaping this course.

While development is still underway, these highlights offer an early look at the skills and outcomes you’ll be working toward:

"This is where everything comes together. In this final studio, you take the tools, ideas, and fluency you've built across the certificate and apply them to a self-directed project with real impact. Whether you're automating a workflow, launching a new product concept, or building a decision-support system, you'll design, prototype, and present a solution that matters in your world.”

Lori Mazor
Course Developer

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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Building a No-Code or Low-Code AI Application

RITx Course
CE-AIAP-5000

Build and deploy a functional AI app without writing code. Gain real-world skills in application design, testing, and integration using industry-standard tools.

Online
12 Weeks
Mid Level

Course description

In this hands-on capstone experience, you’ll design, build, and deploy a fully functional AI application using no-code or low-code tools. Whether you’re using ChatGPT, Claude, or an open-source LLM, this course gives you the opportunity to create an AI solution tailored to a real business challenge. You’ll move from concept to launch, learning how to structure a use case, map a user journey, and develop a guided interaction that delivers meaningful value.

With support from instructors and peer reviews, you’ll refine your app through structured development sprints. You’ll also explore essential Python concepts for prompting and debugging AI-generated code and build a Retrieval-Augmented Generation (RAG) app using open-source frameworks. Final projects will be presented to a professional jury, giving you the opportunity to showcase your skills in a real-world context.

Whether you’re advancing your career or exploring a new role in AI product development, this course gives you the confidence and skills to build usable, scalable AI applications that meet today’s business needs.

Course outcomes

  • Design AI-Driven Solutions
    Use industry tools to structure an AI application based on a defined use case and business need.
  • Build Functional AI Apps
    Develop and deploy a no-code or low-code AI application using large language models and/or open-source platforms.
  • Integrate into Workflows
    Map user experience flows and determine how the AI app supports or enhances an existing business process.
  • Collaborate Effectively
    Engage in peer reviews and apply constructive feedback to improve the performance and usability of your application.
  • Evaluate AI Risks
    Assess the ethical, legal, and operational risks of AI use, integrating safeguards into your application.
  • Use Python for Debugging
    Learn the fundamentals of Python to generate, test, and modify AI-generated code within a development environment.
  • Test and Iterate
    Pilot your app with other learners, analyze results, and refine based on real-time feedback.
  • Present with Confidence
    Deliver a final presentation that clearly articulates the value, functionality, and design choices behind your AI solution.

The learning experience

This course is designed for professionals who want to build real-world AI solutions without needing a background in coding. Prior completion of Applied Generative AI or equivalent experience is recommended. You’ll need a high-speed internet connection, a computer, and the ability to access and subscribe to a tool like ChatGPT or Claude (under $100/month). Expect weekly live sessions, team collaboration, and peer reviews in a structured but creative environment.

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
Application Design
Application Development
Project Documentation
Python (Programming Language)
Sprint Planning
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.
Demand Planner
$
82688
k
/yr
Marketing Manager
$
112384
k
/yr
Product Manager
$
150272
k
/yr
Data Scientist
$
145280
k
/yr
Business Analyst (General)
$
98688
k
/yr
Business Analysis Manager
$
129280
k
/yr
Analytics Manager
$
150272
k
/yr
IT Manager / Director
$
93568
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.

No open sections.

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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Hear from the experts

Watch an introduction by the creator of this course, [name]

Insight

"This is where everything comes together. In this final studio, you take the tools, ideas, and fluency you've built across the certificate and apply them to a self-directed project with real impact. Whether you're automating a workflow, launching a new product concept, or building a decision-support system, you'll design, prototype, and present a solution that matters in your world.”

Lori Mazor
Course Developer

Value

“This is not just a final assignment—it’s a launchpad for your next move as an AI leader."

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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