Achieving Responsible AI with SAFe (Instructor-Led Online Only)
Earn your Achieving Responsible AI with SAFe® (RAI) micro-credential. This AI-focused course prepares professionals to implement ethical, compliant, and trustworthy AI practices within a SAFe enterprise. It integrates governance, risk management, and AI-enabled decision-making to ensure responsible innovation while aligning business objectives with Agile execution.
Description
Achieving Responsible AI with SAFe® (RAI) is a specialized course designed to help organizations implement ethical and responsible AI practices within the Scaled Agile Framework® (SAFe®). The course focuses on integrating Responsible AI principles into Lean-Agile ways of working to ensure that AI-enabled systems are transparent, fair, and aligned with organizational values.
Participants learn how to identify and mitigate risks associated with AI, including bias, lack of transparency, and compliance challenges. The course emphasizes governance, accountability, and cross-functional collaboration to ensure AI systems are developed and deployed responsibly across Agile Release Trains (ARTs).
A key component of this course is the integration of AI governance frameworks into Agile delivery. Participants explore how to embed Responsible AI practices into backlog prioritization, solution design, and delivery processes, ensuring that ethical considerations are incorporated throughout the lifecycle.
Organizations benefit from improved trust in AI systems, reduced regulatory risk, enhanced compliance, and stronger alignment between AI initiatives and business objectives. This course enables enterprises to scale AI responsibly while maintaining agility and innovation.
1. Who will benefit?
This course is designed for professionals involved in AI development, governance, risk management, and Agile delivery.
Key roles include:
- Product Managers responsible for AI-enabled product strategy
- AI/ML Engineers developing and deploying AI solutions
- Risk and Compliance Leaders ensuring regulatory adherence
- Scrum Masters facilitating Agile teams delivering AI solutions
- Business Leaders aligning AI initiatives with business outcomes
Professionals across business functions:
Human Resources: HR Leaders, Ethics and Compliance Specialists
Marketing: Customer Data and Privacy Leaders
Sales: Customer Success and Data Governance Leaders
Procurement: Vendor Risk and Compliance Managers
Operations: Operational Risk and Governance Leaders
R&D: AI Researchers, Innovation Leaders
Manufacturing: Quality and Compliance Managers
Strategic Planning: Strategy and Risk Leaders
Change Management: Organizational Change and Ethics Leaders
This course is ideal for individuals responsible for ensuring AI solutions are ethical, compliant, and aligned with business objectives.
2. What is the associated certification?
Certification: RAI Micro-credential
3. What are the exam details?
Assessment Details:
- Format: Knowledge check and participation-based assessment
- Delivery: Online and facilitated session
- No formal proctored exam required
4. What are the learning goals?
Upon completion of this course, participants will be able to:
- Describe the principles of Responsible AI
- Identify and mitigate risks associated with AI systems
- Align AI initiatives with ethical and regulatory requirements
- Integrate Responsible AI into SAFe practices
- Establish governance frameworks for AI initiatives
- Collaborate with stakeholders to ensure responsible AI delivery
- Monitor and evaluate AI outcomes
- Promote a culture of ethical AI within the organization
You will learn:
- How to apply Responsible AI principles in Agile environments
- How to identify bias and risk in AI systems
- How to align AI initiatives with governance frameworks
- How to integrate Responsible AI into backlog and delivery processes
- How to collaborate across teams to ensure ethical AI outcomes
- How to monitor AI performance and compliance
- How to use AI responsibly within enterprise environments
- Methods for fostering a culture of ethical AI and continuous improvement
5. What topics are covered?
- Introduction to Responsible AI
- Ethical considerations in AI
- AI risk identification and mitigation
- Governance and compliance frameworks
- Integrating Responsible AI into SAFe
- Stakeholder roles and responsibilities
- Monitoring and evaluating AI systems
- Applying AI responsibly in Agile environments
- Continuous improvement and ethical innovation
6. What will you receive?
- Digital course materials
- Access to SAFe Studio resources
- Practical tools and templates
- Micro-credential upon completion
7. Prerequisites
- Basic understanding of Agile concepts is helpful
- Familiarity with AI or data-related work is beneficial
- No prior SAFe certification required
8. Professional Development Units (PDUs) & Scrum Education Units
Claim Code: (Internal / Not PMI Standardized)
PMI PDUs: 4–6 PDUs
PMI Certification Breakdown (Estimated):
|
Certification |
Technical |
Leadership |
Strategic |
Total |
|
PMP® |
1.00 |
2.00 |
2.00 |
5.00 |
|
PgMP® |
1.00 |
2.00 |
2.00 |
5.00 |
|
PMI-ACP® |
0.00 |
2.00 |
2.00 |
4.00 |
|
PfMP® |
0.00 |
2.00 |
2.00 |
4.00 |
Other credits may be applicable depending on governing body.