Designing and Building AI Projects

Ready to master the end-to-end AI project lifecycle? This immersive course equips you with the know-how to prep data, engineer powerful features, evaluate models, and deploy AI solutions at scale—all while upholding ethical and responsible standards. Ideal for aspiring AI engineers, data scientists, and tech leaders, you’ll gain both theoretical insights and hands-on experience. Walk away with the confidence to build fair, reliable AI systems and tackle real-world challenges head-on.

$3,000.00

This course is IMAP eligible — free to eligible Ohioans

Ohio IMAP Eligible Course

Ohio’s Individual Microcredential Assistance Program covers this course in full for eligible Ohioans. That includes tuition, materials, and your certification exam voucher where one applies. You won’t be charged for any part of it.

You likely qualify if you are a U.S. citizen, 18 or older, and currently living in Ohio. You can’t be an employee of the State of Ohio or of We Can Code IT.

Apply for IMAP funding — the application takes a few minutes, and there is no checkout step.

High school juniors and seniors may also qualify, though the State attaches a condition about whether the same credential is available through College Credit Plus. Email admissions@wecancodeit.org and we’ll work out whether it applies to you.

Businesses: this course is TechCred eligible

Ohio TechCred Eligible Course

Ohio employers can be reimbursed by the State for upskilling their teams through TechCred. TechCred reimburses the employer, not the individual, so it isn’t a checkout option — your business applies to the State directly, and we help you build the training plan that goes with the application.

The next application period is October 1–30, 2026.

Schedule a TechCred planning call or email admissions@wecancodeit.org.

Description

Designing and Building AI Products and Services

Master the end-to-end AI project lifecycle from data preparation through deployment. Aligned with all five AWS AI Practitioner exam domains. Includes capstone project.

  • 30 hours
  • Virtual Instructor-led and In-person options
  • Goal(s): Design, build, and evaluate AI solutions. Content prepares students for the AWS Certified AI Practitioner exam.
  • Audience: Aspiring AI developers, tech leaders, and professionals transitioning into AI roles.
  • Prerequisites: Python PCEP certification or equivalent technical background.

Master the complete AI project lifecycle from data collection and preparation to model deployment and monitoring. Course content is aligned with all five AWS Certified AI Practitioner exam domains, covering AI/ML fundamentals, generative AI concepts, foundation model applications, responsible AI principles, and security/governance frameworks. Develop expertise in feature engineering, prompt engineering, and model evaluation using accuracy, precision, recall, and F1 score. Includes a capstone project where you design, implement, and evaluate an AI model for a specific business problem.

Syllabus

Why We Can Code IT?