RAAI ACADEMY · COURSES, CERTIFICATES & PROFESSIONAL DEVELOPMENT
Build the competence to apply AI responsibly where decisions matter most.
Develop the professional judgment, technical confidence, and governance capability to apply, evaluate, govern, and assure AI across real-world management, engineering, and operational practices.
Beyond generic prompt engineering. RAAI Academy delivers profession-specific, application-led education for professionals whose decisions affect people, operations, and organizational risk.
THE RAAI DUAL-LENS LEARNING MODEL
Both lenses operate together across the Academy learning architecture.
Apply AI to strengthen hazard identification, risk assessment, system safety, incident learning, occupational health, ergonomics, human performance, critical-control assurance, and professional decision-making.
Identify, assess, and control risks introduced by AI, automation, algorithmic management, robotics, computer vision, intelligent sensors, wearable technologies, and AI-assisted decisions.
Use AI responsibly. Keep people accountable. Assure AI-enabled work systems.
PROFESSIONAL PRACTICE AREAS
COURSE PORTFOLIO
Move from foundational AI competency through applied safety and risk practice to governance and assurance.
Registration is open for the published 2027 course dates.
Build practical AI knowledge, responsible-use judgment, and decision-making skills for professional practice.
Practical AI Use, Workplace Risk Assessment, and Evidence-Based Decision-Making
Apply AI to hazard and risk management, critical controls, predictive analytics, causal analysis, and organizational learning.
SIF Prevention, Risk Intelligence, and Critical Control Assurance
Leading Indicators, Causal Analysis, and Organizational Learning
Strengthen AI governance, safety assurance, and human oversight for AI-enabled operations.
Managing AI Risk, Safety Assurance, and Human Oversight in AI-Enabled Operations
ACADEMY UPDATES
Receive future course announcements, schedule updates, and news about the RAAI Academy portfolio.
Academy Updates are optional and are not required before registering for an available course.
CERTIFICATE PATHWAY AND ARCHITECTURE
Choose a course bundle that matches the depth and governance focus of your professional-development goals.
INSTRUCTIONAL & ASSESSMENT MODEL
The academy should be application-heavy and designed for working professionals.
60-70 percent
Concepts, frameworks, demonstrations and case discussion: 30-40 percent.
No-code and low-code tools, spreadsheets, business intelligence tools, approved generative AI platforms and vendor applications. Programming is not a prerequisite.
Optional Python, APIs, data pipelines, model evaluation and advanced analytics for learners who need deeper technical implementation capability.
Confirm terminology, principles, limits and standards awareness.
Demonstrate tool use, verification and domain-method integration.
Assess risk reasoning, ethics, worker impact and escalation decisions.
Produce a usable artifact evaluated against a published rubric.
Learners should not upload identifiable health records, confidential incident information, employee data, intellectual property or regulated information into unauthorized public AI tools. Labs should use synthetic, public or properly de-identified data.
Each course should be supported by dual-qualified instruction: a domain subject-matter expert and an AI, analytics, governance or assurance expert. Industry practitioners should contribute implementation successes and failures to keep the curriculum operationally credible.
ENTERPRISE INQUIRY
LEARNER INFORMATION
Registration is open for four live online courses in the 2027 Academy portfolio.
Published prices and dates apply to the listed 2027 offerings. Registration closes at the published course start time. RAAI does not claim third-party accreditation or external CEU-provider approval.
