AI+ Product Manager™

Price
Net: 397,00 €
VAT.: 75,43 €

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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A modern introduction shows how intelligent product development works today: data-focused, adaptive, and closely interlinked with AI-supported methods. The course combines current trends in product strategy, AI innovation, and user-centered value creation to provide a clear understanding of productive working with AI.

Key topics

AI-based product decisions
Data-driven prioritization
Agile product architectures
Responsible use of AI
Trend observation and market signals
Sharpening product visions with machine learning

Prerequisites
Basic knowledge of digital products and openness to AI-supported working methods.

Target group
Professionals from the product environment, innovation, digitalization, or AI strategy who want to strengthen modern product development with AI.

A future-oriented framework that opens up new perspectives for productive, AI-supported decisions and paves the way for sustainable, intelligent product solutions.

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course content

Fundamentals of artificial intelligence for product managers

Understanding the fundamentals of artificial intelligence.
Significance of AI

Fundamentals of machine learning

Introduction to machine learning.
Data preparation in the ML model.

Life cycle of AI product development

How AI can be used in brainstorming and conceptualization.
Prototyping and testing: Methods for effective prototyping and testing of AI-driven products.

AI ethics and bias

Understanding ethical considerations: Examining the ethical implications of AI products and the responsibility of product managers.
Reducing bias: Learning strategies for identifying and combating bias in AI algorithms and products.

Strategies for implementing AI

Integration into existing products: Explore methods for seamlessly integrating AI capabilities into existing products.
Stakeholder management: Understand how AI initiatives can be effectively communicated to stakeholders to gain their support.

AI metrics and performance evaluation

Key performance indicators (KPIs): Identifying relevant metrics for measuring the success of AI-driven products.
Performance evaluation techniques: Learning methods for evaluating the performance of AI models and products.

AI regulation and compliance

Regulatory environment: Analysis of current regulations and framework conditions for AI products.
Compliance strategies: Development of strategies to ensure AI products comply with regulatory requirements.

Future trends in AI and product management

New technologies: Discussion of upcoming trends and technologies that will shape the future of AI and product management.
Strategic planning: Information on how to anticipate and adapt to future changes in the AI landscape in order to drive product innovation.

Optional module: AI agents for product management

Understanding AI agents
Case studies
Practical exercises with AI agents

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What do you learn in the AI+ Product Manager™ course?

The course covers the fundamentals of AI, use cases, data comprehension, prompt techniques, roadmap creation, team leadership, and ethical aspects in the context of AI.

Who benefits from AI+ Product Manager™?

Ideal for anyone who wants to take on responsibility in product development, innovation, data strategy, or digital transformation.

What prior knowledge is required for the course?

A basic understanding of products, digital processes, and business contexts is sufficient. Technical expertise is not required.

What tools are used in AI+ Product Manager™?

The course covers important AI tools such as ChatGPT, AI Fairness 360, Power BI, and IBM Watson OpenScale to support product insights, ethical evaluation, analysis, and AI integration in product management.

How does this course differ from traditional product management?

The focus is on AI integration: using data, writing prompts, understanding machine learning, and strategically managing AI processes.

What role does prompt engineering play in the course?

A key topic. The presentation shows how prompts can be used precisely in product management to control AI results in a targeted manner.

Which industries benefit particularly from this course?

Tech, finance, healthcare, logistics, retail, HR, marketing—anywhere where data-based products and AI applications are in demand.

Is AI+ Product Manager™ future-proof?

Yes. The content is based on the latest developments, trends, and market requirements relating to AI and digital product responsibility.

Do you have any further questions? Please contact us.

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0800 258 258 055

website@newhorizons.de

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