Opleiding: AI+ Product Manager Fundamentals™
Formerly known as AI+ Product Manager™
Innovate Products Faster with AI-Enabled Management
- Product Innovation: Leverage AI to drive product development and market fit
- Concept to Execution: Explore AI applications in real product lifecycle scenarios
- Market Advantage: Bridge the gap between tech innovation and customer needs
- Leadership Ready: Prepare for leading roles in fast-evolving product ecosystems
Product Managers: Enhance your skills by integrating AI into product development processes and drive innovation.
Aspiring Product Managers: Gain a strong foundation in AI-driven product management strategies to kickstart your career.
Technology Enthusiasts: Leverage AI tools to optimize product strategies and create impactful product experiences.
Business Analysts: Apply AI to streamline product development processes and enhance decision-making for better product outcomes.
Students & Fresh Graduates: Prepare for a successful career in AI product management by mastering the skills that top companies demand.
- AI in Product Management Essentials:Learn foundational AI concepts to optimize product development and enhance decision-making.
- AI-Driven Product Innovation:Master AI tools and techniques to drive product innovation, improve customer experience, and accelerate time-to-market.
- Data-Driven Product Strategies:Utilize AI to analyze data, predict trends, and create personalized product strategies for targeted customer engagement.
- Ethical AI in Product Development:Understand ethical AI practices, mitigate biases, and ensure transparency and compliance in product management.
- Course Introduction Preview
- 1.1 Understanding the Basics of artificial intelligence
- 1.2 Importance of AI
- 2.1 Introduction to Machine Learning
- 2.2 Data Preparation in ML model
- 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
- 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
- 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
- 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
- 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
- 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
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
- ChatGPT
- AI Fairness 360
- Power BI
- IBM Watson OpenScale
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badgeDe OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.
Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.
