Harness the Power of AI in Mechanical Engineering. Safely, Ethically, and on Your Schedule
Fulfill Up to 15 Hours of Your State Board PDH Requirements with Cutting-Edge Content Build Specifically for Today's Professional Engineer.
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The Reality: AI is Rewriting Mechanical Engineering
Artificial intelligence is changing how mechanical engineers research requirements, evaluate concepts, prepare calculations, review code, analyze test data, develop reports, and manage technical documentation. Tasks that once required hours of manual searching, drafting, or repetitive analysis can now be accelerated. But faster output does not automatically mean reliable engineering.
For mechanical engineers, the opportunity is significant. Used well, AI can reduce administrative effort and create more time for engineering judgment, design refinement, verification, and communication.
The risk is equally real. AI systems can produce convincing but incorrect calculations and fabricate technical references. Proprietary drawings, client information, and intellectual property may also be exposed when engineers use unapproved tools or enter sensitive information without appropriate controls.
The engineers who benefit most from AI will not be those who simply generate answers faster. They will be those who know how to direct the tools, challenge the results, protect sensitive information, and integrate AI into disciplined engineering workflows.
Select the Package That Fits Your Renewal Needs
Whether you need a quick ethics credit or want to knock out your entire annual requirement in one afternoon, we have you covered.
Master Practical, Responsible AI Use in Professional Engineering (15 Hour Bundle)
Our AI Engineering Modules
This 15-hour bundle of courses gives professional engineers a comprehensive framework for using artificial intelligence effectively, securely, and ethically across research, drafting, calculations, coding, design development, documentation, reporting, and project workflows. Learners will develop practical AI skills while strengthening the verification, cybersecurity, recordkeeping, responsible-charge, and professional-judgment controls needed to protect the public and maintain accountability.
Practical AI Applications Use AI to support engineering research, technical writing, calculations, code review, design alternatives, specifications, reports, and routine project tasks.
Prompting and Workflow Design Create structured prompts and staged workflows that define objectives, sources, assumptions, constraints, units, outputs, and review requirements.
Verification and Quality Control Evaluate AI-generated information through authoritative sources, independent calculations, testing, reasonableness checks, peer review, and documented approval.
Ethics, Security, and Confidentiality Recognize and manage ethical, cybersecurity, privacy, intellectual-property, bias, conflict-of-interest, and sensitive-data risks associated with AI tools.
Professional Responsibility and Career Adaptation Maintain competence, responsible charge, truthful communication, documentation, and human accountability while preparing for changes in engineering practice, education, supervision, and licensure.
This bundle includes courses US-PE-AI-101, US-PE-AI-102, US-PE-AI-103, US-PE-AI-104, US-PE-AI-105, and US-PE-AI-106 at a discounted rate saving $141 off the individual prices.
The 5-Hour AI Engineering Masterclass
Master the Practical Use of AI in Professional Engineering. Save $37 compared to individual courses.
Course Curriculum & Breakdown
This 5-hour course helps professional engineers build a practical, repeatable approach for selecting AI tools, designing effective prompts, applying AI to common engineering tasks, verifying outputs, protecting sensitive information, and maintaining professional accountability. Learners will strengthen both productivity and quality control while keeping qualified human judgment at the center of engineering decisions.
Select the Right AI Tool Compare major AI platforms and choose tools based on the task, available features, privacy controls, source access, and workflow requirements.
Design Better Prompts and Workflows Create structured prompts and staged processes that clearly define objectives, constraints, assumptions, sources, units, and expected outputs.
Apply AI to Engineering Work Use AI to support research, drafting, calculation setup, code review, design exploration, technical reports, specifications, and project administration.
Verify and Control AI Output Apply authoritative-source checks, independent calculations, testing, reasonableness reviews, and documented quality-control steps before relying on AI-assisted work.
Protect Professional Responsibility Manage confidentiality, cybersecurity, documentation, responsible charge, and final approval so that AI supports rather than replaces engineering competence and judgment.
Save $37 compared to individual courses.
Individual 2-hour course curriculums below
US-PE-AI-101: Artificial Intelligence in Engineering Practice (2 Hours)
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Course Summary
Artificial Intelligence in Engineering Practice provides professional engineers with a practical introduction to using AI as a support tool for research, drafting, calculation setup, code review, design-option development, technical reporting, and workflow efficiency. The course explains both the opportunities and limitations of AI-generated content, including inaccurate information, fabricated citations, hidden assumptions, calculation errors, confidentiality concerns, and overreliance on automated output. Throughout the course, emphasis is placed on authoritative-source verification, independent technical review, documentation, responsible charge, and the engineer’s continuing accountability for final work products.
US-PE-AI-102: Engineering Ethics in the Age of AI (2 Hours)
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Course Summary
Engineering Ethics in the Age of AI examines how established professional engineering duties apply when artificial intelligence is used to support research, calculations, coding, design development, technical communication, and project decision-making. The course addresses public protection, competence, responsible charge, truthfulness, confidentiality, conflicts of interest, fairness, transparency, documentation, and accountability. Learners develop a practical framework for recognizing ethical risks, verifying AI-assisted work, documenting material decisions, and ensuring that qualified professional engineers retain control over final engineering judgments and deliverables.
US-PE-AI-103: Prompting, Documentation, and Recordkeeping for AI-Assisted Engineering Work (2 Hours)
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Course Summary
Prompting, Documentation, and Recordkeeping for AI-Assisted Engineering Work provides professional engineers with a practical framework for creating effective prompts, controlling source information, verifying AI-generated output, and preserving appropriate project records. The course explains how prompts, inputs, outputs, assumptions, revisions, reviews, and approvals can affect the reliability and defensibility of engineering work. Emphasis is placed on risk-based documentation, confidentiality, source verification, version control, responsible charge, and the engineer’s continuing accountability for final technical decisions and deliverables.
US-PE-AI-104: Cybersecurity and Confidentiality Risks of AI Tools in Engineering (2 Hours)
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Course Summary
Cybersecurity and Confidentiality Risks of AI Tools in Engineering examines the information-security, privacy, and professional risks created when engineers use artificial intelligence systems for research, drafting, calculations, code review, document analysis, and workflow automation. The course addresses sensitive-data classification, authorized-tool selection, account and vendor controls, file uploads, integrations, prompt injection, insecure outputs, excessive permissions, incident response, and professional accountability. Emphasis is placed on using AI productively while protecting client information, proprietary data, credentials, project systems, and the integrity of engineering work.
US-PE-AI-105: AI, Automation, and the Future of Engineering Licensure (2 Hours)
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Course Summary
AI, Automation, and the Future of Engineering Licensure examines how artificial intelligence and increasingly automated engineering systems may affect professional competence, responsible charge, supervision, education, examinations, continuing professional development, and regulatory oversight. The course distinguishes automation of engineering tasks from transfer of professional responsibility and explains why licensed engineers remain accountable for understanding, reviewing, and approving work performed with AI-assisted tools. Learners consider how professional engineers, employers, educators, examination organizations, and licensing boards may adapt while preserving public protection, technical competence, and meaningful professional accountability.
Secure Your Credits Now & Protect Your License
The Complete 15-Hour PE Automation & Ethics Bundle (Best Value)
The 5-Hour AI Engineering Masterclass
Individual 2-Hour Technical Modules
The "Board-Accepted" Guarantee
Every hour of this course is meticulously structured to comply with NCEES Model Rules for Professional Development Hours (PDHs). Content focuses directly on technical competency, objective engineering analysis, and professional ethics.
Our Promise: If your state engineering board does not accept these hours for any reason, simply send us their notice, and we will issue a 100% refund immediately.
Don't Risk a Last-Minute Audit Crunch
State board renewal deadlines are approaching fast. Avoid the stress of scrambling for credits or buying outdated, dry courses you will click through on mute.
Invest your time in a subject that satisfies your board, protects your license, and instantly upgrades your professional market value.
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US-PE-AI-101 Artificial Intelligence in Engineering Practice
CourseArtificial intelligence is becoming part of everyday engineering work. Engineers can use AI to support research, organize technical information, draft documents, calculations, compare design options, and reduce repetitive administrative tasks
$29
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US-PE-AI-102 Engineering Ethics in the Age of AI
CourseAI tools can help engineers complete routine tasks more efficiently, but useful results depend on careful task definition, relevant context, technical review, and professional judgment.
$29
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US-PE-AI-103 Prompting, Documentation, and Recordkeeping for AI-Assisted Engineering Work
CourseArtificial intelligence can accelerate research, drafting, analysis, code review, and project administration. This course presents a practical framework for moving from an initial prompt to a reviewed and defensible engineering work product.
$29
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US-PE-AI-104 Cybersecurity and Confidentiality Risks of AI Tools in Engineering
CourseThis course provides a practical framework for identifying and controlling AI-related cybersecurity risks. Learners will examine data classification, tool authorization, account settings, retention, prompt injection, and access control.
$29
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US-PE-AI-105 AI, Automation, and the Future of Engineering Licensure
CourseAs AI changes how engineering work is learned, performed, and reviewed, licensing systems may also need to evolve. This course explores possible effects on engineering education, supervised experience, and continuing competence.
$29