Supporting your teams in integrating AI
Satisfaction rate
4.8
Success rate
4.8
The target audience for training
- Managers,
- Managers
- Management.
What you will learn
At the end of the course, trainees will be able to mobilise their teams around the uses of Artificial Intelligence (AI).
Training programme
- Duration: 2 days
Day 1
Day 1 - Morning: Understanding the fundamentals of AI and its implications
- Introduction to artificial intelligence: definitions, key concepts and families of technologies (symbolic AI, machine learning, generative AI).
- An overview of current and future uses in different business sectors.
- Strategic opportunities for the company: productivity gains, innovation, new business models.
- Practical exercise: group analysis of concrete examples of successful uses of AI.
- Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.
Day 1 - Afternoon: Opportunities, limits and challenges of AI
- Identify the limits and risks associated with AI: technological dependence, algorithmic biases, loss of human skills.
- Ethical issues: transparency, fairness, explainability.
- Legal and regulatory issues: RGPD, AI Act, applicable compliance framework.
- Organisational impact: business transformation, team reorganisation, change management.
- Case study: analysis of an AI project in a company and identification of points to watch out for.
- Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.
Day 2
Day 2 - Morning: Leadership and management of AI projects
- The position of the manager in the integration of AI: enlightened leadership without technical expertise.
- Managing an AI project: scoping phases, working with experts, stakeholder management.
- Strategies to support employee skills development.
- Practical exercise: simulation of an AI project steering meeting with different profiles (technical, business, legal).
- Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.
Day 2 - Afternoon: Security, trust and adoption
- Digital trust and cyber security: data confidentiality, system protection and detection of manipulation.
- Developing a responsible IA culture: awareness-raising, training, internal communication.
- Drawing up the main principles of an internal AI usage charter.
- Practical exercise: co-construction of a plan for integrating AI into your organisation.
Intersession: virtual classroom (2 hours, 2 weeks after the course)
- Feedback from participants: implementation of the first actions to raise awareness and support teams since the training.
- Collaborative workshop: case study on the integration of an AI tool or use case in a company (opportunities, limits, ethical and organisational issues).
- Sharing good managerial practice to instil a culture of responsible innovation and strengthen digital confidence.
- Collective development of a mini-action plan to mobilise teams around a concrete IA project.
- Closing and final assessment.
- Attendance certificates are handed out and participants evaluate the course.
Trainer profile
Expert consultant-trainer in artificial intelligence, whose technical, professional and teaching skills have been rigorously assessed and validated as part of our internal selection procedures.
Teaching methods and resources
The course is based on a balanced combination of theoretical and practical approaches, guaranteeing both the acquisition of knowledge and its operational application:
- Structured theoretical input, illustrated by practical examples tailored to the participants' professional context.
- Practical exercises at each stage to help you assimilate the knowledge you have acquired.
- A case study linking the different skill blocks.
- Strong interaction between trainers and trainees, making exchanges more concrete and in correlation with trainees' expectations.
- Full educational documentation, supplied in digital format.
- Course evaluation questionnaire at the end of the course, analysed by our teaching team.
- Certificate of acquired skills sent to the trainee at the end of the course.
- End-of-training certificate sent at the same time as the invoice to the company or funding organisation, confirming that the trainee has fully attended the session.
Training objectives
- Understanding the fundamentals of artificial intelligence and its implications for businesses.
- Identify the opportunities, limits and ethical, legal and organisational issues associated with the use of AI.
- Adopt an enlightened leadership posture to steer projects incorporating AI, even without technical expertise.
- Strengthen digital confidence by integrating issues of security, data confidentiality and detection of manipulation.
Assessment method
- Practical exercises at every stage of the course.
- A case study linking the different skill blocks.
- Quiz at the end of each day's training.
- Self-assessment of knowledge acquired by the trainee via a questionnaire.
Training prerequisites
There are no pre-requisites for this course.
- Language : French
- Level : Fundamental
- Certification body : ACG CYBERACADEMY
- Certification: No
- Accessibility : Yes
- Duration: 2 days
Important information:
Our courses are not registered with the Répertoire National des Certifications Professionnelles (RNCP), but they do comply with the requirements of the Répertoire Spécifique (RS).