Online or in-house trainings within Europe
All workshops in English or German
Full days or half days
Content and schedule adapted to your needs

Learn how to successfully manage AI products from conception to market, navigating unique challenges and opportunities in AI product development.

This is why you should participate in the workshop (for developers)

• Avoid months of learning through costly mistakes and understand AI product specifics from the start
• To learn on your own is not for everyone, instead join an interactive session with an expert trainer and a group of participants
• Boost your career and stay up-to-date with the latest methodologies for managing AI-powered products

This is why you should participate in the workshop (for decision makers)

• Thinking about launching AI products in your company? Learn proven frameworks and avoid common pitfalls that derail AI initiatives
• Build realistic roadmaps and set appropriate expectations for AI product development timelines and capabilities
• Educate your product team with specialized knowledge to successfully compete in the AI market

Schedule

1 full day or 2 half days

Description

In this course, you’ll master the unique aspects of managing AI-based products that differ significantly from traditional software products. We’ll explore how to define product requirements when dealing with probabilistic rather than deterministic systems, and how to communicate AI capabilities and limitations effectively to stakeholders and customers. AI products aren’t just traditional software with AI features bolted on, but require fundamentally different approaches to planning, development, and market positioning.

We will examine the complete AI product lifecycle, from identifying suitable use cases and defining success metrics to managing data requirements and model performance over time. You’ll learn how to work effectively with data scientists and ML engineers, translating business needs into technical requirements and vice versa. We’ll cover essential topics like bias mitigation, explainability requirements, and regulatory compliance that are crucial for AI product success.

You will also learn how to build and execute go-to-market strategies specifically for AI products, including how to educate users, manage expectations around AI behavior, and iterate based on real-world performance data. We’ll study successful AI product launches and analyze common failure patterns to help you avoid typical mistakes. Risk management and ethical considerations will be integrated throughout, as these are fundamental to sustainable AI product development.

Contact me for a quote

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