Course : Certified Artificial Intelligence Manager, PECB Certification
Practical course - 5d
- 35h00 - Ref. AIG
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 | Explain how AI governance, leadership, and risk management are interconnected, and apply these insights to support compliant and responsible operations |
| Strategically align AI initiatives with organizational objectives and stakeholder requirements to ensure clear accountability and measurable results |
| Evaluate and prioritize AI opportunities using simple assessment tools to identify high-value, feasible projects |
| Design and Implement Interactive Dashboards in Power BI |
| Create automated workflows by building and orchestrating AI agents directly in n8n to increase operational efficiency and consistency |
| Develop a structured communication and change management plan to support the smooth adoption of AI across teams and functions |
Intended audience
AI project managers and product managers, executives and transformation program managers, risk, compliance, and governance managers, business unit managers involved in AI projects, IT managers, consultants, and digital transformation stakeholders.
Prerequisites
A general understanding of business processes, data, or digital tools is helpful but not required.
Certification
The exam consists of 80 questions in English and must be completed within 3 hours as an open-book exam. Upon completion of the course, a certificate of completion for 31 CPD (Continuing Professional Development) credits will be issued. Candidates who have completed the training but failed the exam may retake it once free of charge within 12 months of the original exam date.
Course schedule
1 AI Fundamentals and Strategy
- Key Concepts in Artificial Intelligence.
- Business Use Cases.
- Identifying and prioritizing AI opportunities.
- Alignment with business objectives and ROI.
2 AI Governance and Risk Management
- Establishment of an AI governance framework.
- Risk management, bias, compliance, and ethics.
- Transparency, data security.
- Internal policies and regulations.
3 Data and Decision-Making (Data & BI)
- Data Maturity Assessment.
- Definition of KPIs and performance metrics.
- Data Visualization with Power BI.
- Data-driven decision support.
4 Prompt Engineering & Generative AI
- Using generative models (such as GPT).
- Prompt engineering (AI query optimization).
- Business Use Cases for Generative AI.
5 Automation and AI Agents (No-code)
- Creating automated workflows.
- Design of AI agents (e.g., n8n).
- Business Process Automation.
6 Operational Management of AI Projects
- Management of the entire lifecycle of an AI project.
- Communication with Stakeholders.
- Change Management.
- Performance Measurement and Reporting.
7 Areas of expertise covered by the exam:
- Area 1: Fundamentals, Strategy, and Management of Opportunities in AI.
- Area 2: Governance, Policy, and Risk Management Related to AI.
- Area 3: Rapid Engineering, Decision Intelligence, and Power BI.
- Area 4: Fundamentals of AI-Driven Automation.
- Area 5: Use Cases for Generative AI and Automation.
PARTICIPANTS
AI project managers and product managers, executives and transformation program managers, risk, compliance, and governance managers, business unit managers involved in AI projects, IT managers, consultants, and digital transformation stakeholders.
PREREQUISITES
A general understanding of business processes, data, or digital tools is helpful but not required.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
AI project managers and product managers, executives and transformation program managers, risk, compliance, and governance managers, business unit managers involved in AI projects, IT managers, consultants, and digital transformation stakeholders.
PREREQUISITES
A general understanding of business processes, data, or digital tools is helpful but not required.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.
Dates and locations
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Remote class
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Date garantie en présentiel ou à distance
Session garantie
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.