AI+ Product Manager™ - eLearning (exam included)
225,00 EUR
- 15 hours
The AI+ Product Manager Certification provides product managers with a strong foundation in Artificial Intelligence (AI). It breaks down key AI concepts—such as Machine Learning (ML), neural networks, and expert systems—while explaining their evolution and real-world impact. The program highlights how AI can drive efficiency, innovation, and personalized user experiences, underscoring the connection between emerging technologies and market-focused solutions.
Key Features
Language
Course and material in English
Level
Intermediate level (Category: AI+ Professional)
Access
1 year access to the platform 24/7
8 hours of video lessons & multimedia
15 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
Tools You’ll Master
ChatGPT, AI Fairness 360, Power BI, IBM Watson OpenScale
About the course
Accelerate Product Development with AI-Powered Management
- AI-Driven Innovation: Utilize AI to streamline product creation and align with market demands
- From Idea to Launch: Apply AI in real-world product lifecycle processes
- Competitive Edge: Connect emerging technologies with user expectations
- Leadership Skills: Equip yourself for leadership in dynamic product environments
Participants will build both technical and strategic capabilities, including data preparation, ethical considerations, and bias mitigation to ensure responsible AI use. Through practical exercises, learners apply AI throughout the product development process.
This certification also emphasizes AI’s role in gaining a competitive edge—enabling managers to use data-driven insights in ideation, design, prototyping, and testing. Modules on AI ethics, stakeholder engagement, and regulatory frameworks prepare learners to address the wider implications of AI integration. Additionally, the course explores future AI trends and strategic planning, empowering product managers to adapt, innovate, and lead in a rapidly evolving landscape.
Why This Certification Is Important
Build a strong foundation in AI to streamline development and improve strategic decisions.
Learning Outcomes
At the end of this course, you will be able to:
Mastery of AI-Driven Product Development
Acquire in-depth knowledge to manage the full lifecycle of AI-integrated products—from concept to launch—boosting efficiency and impact.
Strategic Use of AI in Products
Learn to plan and apply AI technologies effectively, choosing the most suitable tools to enhance product value and user satisfaction.
Responsible AI & Compliance
Understand how to navigate ethical concerns and comply with regulations when implementing AI in product management.
Evaluating AI Performance
Gain the skills to define, track, and interpret key performance indicators for AI features, ensuring optimal functionality and value.
Course timeline
Introduction to Artificial Intelligence (AI) for Product Managers
Lesson 1
- 1.1 Understanding the Basics of artificial intelligence
- 1.2 Importance of AI
Fundamentals of Machine Learning
Lesson 2
- 2.1 Introduction to Machine Learning
- 2.2 Data Preparation in ML model
AI Product Development Lifecycle
Lesson 3
- 3.1 Exploring How AI Can Be Leveraged in Ideation and Conceptualization
- 3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively
AI Ethics and Bias
Lesson 4
- 4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
- 4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products
AI Implementation Strategies
Lesson 5
- 5.1 Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
- 5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support
AI Metrics and Performance Evaluation
Lesson 6
- 6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven Products
- 6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products
AI Regulation and Compliance
Lesson 7
- 7.1 Regulatory Landscape: Explore Current Regulations and Frameworks Relevant to AI Products
- 7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements
Future Trends in AI and Product Management
Lesson 8
- 8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and Product Management
- 8.2 Strategic Planning: Learn How to Anticipate and Adapt to Future Changes in the AI Landscape to Drive Product Innovation
AI Agents for Product Management
Optional
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Industry Growth
Advancing Innovation Through Intelligent Product Management
- 85% of organizations are channeling resources into AI-powered product development. (Source: McKinsey)
- As AI shapes core business decisions, there’s a growing need for professionals capable of managing AI-integrated products.
- Demand for AI Product Managers is rising rapidly across sectors like technology, retail, and manufacturing.
- Leveraging AI in product development strengthens competitive edge and boosts market performance.
Who Should Enroll in this Program?
Experienced Product Managers: Advance your expertise by embedding AI into product workflows to fuel innovation.
Future Product Managers: Build a solid understanding of AI-powered strategies to launch your career confidently.
Tech-Savvy Professionals: Use AI tools to refine product planning and deliver exceptional user experiences.
Business Analysts: Integrate AI to improve development efficiency and support data-informed decisions.
More Details
Prerequisites
- Familiarity with fundamental digital technologies and how they impact modern work environments.
- Curiosity about how AI can be applied in the product development process.
- A willingness to embrace new ideas and stay current with evolving tech trends.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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