Certified Artificial Intelligence Steward (CAIS™)
Course Run Dates
- 19th Apr 2025 – 20th Apr 2025
- 30th Aug 2025 – 5th Sep 2025
- 19th Sep 2025 – 5th Oct 2025
Course Instructor
Dr. S. Hasnain Rizvi
Dr. Hasnain Rizvi is an industry thought leader who delivers customized value-driven workshops and training. He helps leaders, managers, and their teams target what is needed to become even more effective.
Hasnain is an expert in strategic and business leadership; he is considered a leader in the industry with extensive knowledge and expertise in strategic thinking, organizational development, and team building. He has coached leaders, senior management, and teams through tailor-made workshops and interventions to engage in High-Performance collaborative work.
He has managed mission-critical complex programs and projects for Global 2000 and Fortune 500 clients. Hasnain has led the recovery of troubled projects and programs for key clients. His recent engagements have focused on enterprise-wide Agile and Digital Transformation.
Hasnain has facilitated value-added leadership development training after a comprehensive horizontal and vertical leadership needs analysis for Executives, Directors, Managers, Division Heads, Supervisors, Team members, and Emerging Leaders.
Course Description
The Certified Artificial Intelligence Steward (CAIS) program equips professionals with the foundational knowledge and skills needed to oversee and manage ethical, responsible, and effective AI implementation in organizations.
This certification emphasizes understanding AI technologies, governance frameworks, risk mitigation strategies, and ethical considerations, ensuring organizations align AI initiatives with their values and compliance requirements.
Key Learning Outcomes:
• AI Fundamentals and Ecosystem
Gain a comprehensive understanding of core AI technologies, their applications, and the evolving AI ecosystem, including machine learning, natural language processing, and predictive analytics.
• Ethical and Responsible AI Governance
Learn to design and implement frameworks to ensure the ethical use of AI,
mitigate biases, and align AI solutions with societal values and
organizational principles.
• Risk Management and Compliance
Develop strategies for identifying, assessing, and mitigating risks associated with AI deployment, including data privacy, regulatory compliance, and operational challenges.
• Stakeholder Communication and Change Management
Build skills to effectively communicate AI-related initiatives and insights
to diverse stakeholders, driving adoption and alignment across technical
and non-technical teams.