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Becoming an Artificial Intelligence (AI) product manager

Becoming an Artificial Intelligence (AI) product manager requires a deep understanding of technologies and management strategies. This role involves leading multidisciplinary teams, defining product priorities, and ensuring the success of AI projects. You will be responsible for product vision, planning, and optimizing development processes. Acquiring these skills will allow you to play a key role in the innovation and evolution of AI solutions.
- Reference : 1420
- Next session : May 8, 2026
- Duration : 2 Days
- location : Hybride - Casablanca
- Visitors : 37482

What you will learn
- Master the syntax, data structures and paradigms of the studied language
- Design and develop functional end-to-end applications
- Apply coding best practices and SOLID or equivalent principles
- Use versioning, debugging and testing tools in your projects
- Integrate APIs, databases and external services into your developments
- Complete a full project demonstrating the skills acquired during training
About this course
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Our AI Product Manager training is designed to equip you with the key skills needed to lead AI projects strategically and effectively. You will learn to understand the basics of AI, manage technical teams, and oversee the development of AI products from concept to implementation.
Training Program:
Introduction to Artificial Intelligence:
- Understand the fundamental concepts of AI (Machine Learning, Deep Learning, Natural Language Processing, etc.).
- Explore different types of AI and their applications in products.
Role of the AI Product Manager:
- Master product management in a highly technical environment.
- Learn to work with AI teams, developers, and data scientists to align product and technical goals.
- Develop a clear and strategic product vision.
Development and Launch of AI Products:
- Acquire techniques for defining effective product specifications for AI products.
- Learn to manage Agile development cycles in AI projects.
- Ensure product quality and relevance throughout their lifecycle.
Managing AI Challenges:
- Identify technical, ethical, and regulatory challenges related to AI.
- Implement strategies to overcome these challenges while respecting norms and user expectations.
- Manage risks associated with the large-scale deployment of AI products.
Collaboration and Communication in a Multidisciplinary Environment:
- Develop communication skills to work effectively with diverse teams.
- Learn to translate complex technical concepts for non-technical stakeholders.
- Maximize collaboration between product, marketing, and development teams.
Monitoring and Optimizing AI Products:
- Use methods to track the performance of AI products post-launch.
- Learn how to optimize products based on user feedback and technological advancements.
The training includes real-world case studies, hands-on workshops, and AI project management simulations to provide you with direct experience in the field. By participating in this training, you will be ready to take on the role of AI product manager and guide your projects to success while developing in-demand skills in the technology innovation sector.
Who is this course for?
Target profiles and expected levels
Developers looking to deepen their technical skills in a language or framework
Computer science students looking to complement their academic training with practice
Professionals transitioning to software development roles
Data scientists and analysts looking to automate their data processing
IT engineers looking to modernise their skills with the latest technologies
Anyone looking to develop a concrete application or IT project
Course Program
Introduction and Fundamentals of AI Product Management
1 modules- 01Introduction and Fundamentals of AI Product Management- Welcome and Introduction (1 hour) Introduction of the instructor and participants. Training objectives and overview of the program. The importance of AI in the development of modern products. - Introduction to Artificial Intelligence (2 hours) Understanding the basics of AI (Machine Learning, Deep Learning, Natural Language Processing, etc.). Applications of AI in various sectors (healthcare, finance, industry, etc.). Discussion on current and future AI trends. - The Role of the AI Product Manager (1 hour 30 minutes) Key responsibilities of an AI product manager. How to coordinate technical teams and stakeholders. Case studies of AI product managers in renowned companies. - Agile Product Management for AI Projects (2 hours) Introduction to Agile methodologies and their adaptation to AI projects. How to define an AI product backlog. Techniques for maintaining good communication with technical teams. - Defining a Product Vision for AI (1 hour 30 minutes) Establishing a clear and strate
Why Choose Our Course?
What sets us apart from other training centers
Project-oriented training with concrete exercises at each stage of learning
Expert trainers actively practising in the software development industry
Preconfigured development environment provided to get started immediately
Small groups enabling personalised follow-up and quality exchanges
Access to additional resources and an active community after training
Programme constantly updated to reflect current industry standards
Our Next Sessions
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What our learners say
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