GenAI for Product Management
Unlock the potential of Generative Artificial Intelligence in your product management career with our expertly designed course. Dive deep into cutting-edge methodologies that leverage AI for market research, ideation, design optimization, user experience personalization, and ethical considerations. Gain hands-on experience with leading tools and platforms while learning strategic planning for seamless AI integration into your business objectives. Propel your skills forward by mastering data management practices essential for privacy compliance and effective collaboration within cross-functional teams. Join us to stay ahead of future trends in this dynamic field.
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
What you'll learn
- Apply GenAI tools for market research to derive customer insights and predict market shifts.
- Develop innovative product concepts using AI-driven brainstorming techniques.
- Address ethical considerations such as bias mitigation and transparency in AI applications.
- Strategically plan for integrating GenAI solutions aligned with business goals.
- Understand the fundamental concepts of Generative AI and its distinction from discriminative models.
- Manage data effectively for privacy compliance in AI projects.
- Monitor and evaluate the performance of AI-integrated products using key metrics.
- Enhance user experience through personalized interactions powered by AI.
Why should you attend?
This course provides an in-depth exploration of Generative AI (GenAI) and its transformative impact on product management. Participants will begin by understanding the foundational concepts and evolution of GenAI, distinguishing it from discriminative AI models. This knowledge sets the stage for leveraging AI in market research, where learners will gain insights into customer behavior and trends through predictive analytics. A hands-on exercise will allow participants to apply these techniques using a GenAI tool to analyze datasets and identify emerging market trends. The course further delves into enhancing product ideation with AI-driven brainstorming techniques, supported by case studies of successful AI-augmented products. Participants will engage in group assignments to develop innovative product concepts utilizing GenAI tools, culminating in brief presentations. The journey continues with AI applications in design and prototyping, focusing on automated design generation and rapid prototyping to accelerate development cycles. User experience enhancement through personalized UX and real-time feedback analysis is another critical area covered. Ethical considerations are addressed, emphasizing bias mitigation, transparency, and user trust. Learners will explore leading GenAI tools for product management, criteria for selecting appropriate solutions, and strategic planning for AI integration aligned with business objectives. Data management is crucial for GenAI applications; thus, participants will learn about data curation, privacy compliance, and anonymization techniques. Collaborative development fosters cross-functional teamwork between AI and product teams. Finally, the course covers monitoring AI performance through key metrics and continuous improvement strategies while exploring scaling solutions across product lines. Case studies provide real-world insights into successful AI implementations and challenges faced. The course concludes with future trends in GenAI and product management, preparing participants for upcoming innovations. Teams will present their AI-integrated product concepts as a final project, showcasing their understanding of design prototypes and implementation strategies.
Course Syllabus
Day 1 - GenAI Fundamentals & Applications
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Strategic AI Implementation
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
FAQs
Why should you attend?
This course provides an in-depth exploration of Generative AI (GenAI) and its transformative impact on product management. Participants will begin by understanding the foundational concepts and evolution of GenAI, distinguishing it from discriminative AI models. This knowledge sets the stage for leveraging AI in market research, where learners will gain insights into customer behavior and trends through predictive analytics. A hands-on exercise will allow participants to apply these techniques using a GenAI tool to analyze datasets and identify emerging market trends. The course further delves into enhancing product ideation with AI-driven brainstorming techniques, supported by case studies of successful AI-augmented products. Participants will engage in group assignments to develop innovative product concepts utilizing GenAI tools, culminating in brief presentations. The journey continues with AI applications in design and prototyping, focusing on automated design generation and rapid prototyping to accelerate development cycles. User experience enhancement through personalized UX and real-time feedback analysis is another critical area covered. Ethical considerations are addressed, emphasizing bias mitigation, transparency, and user trust. Learners will explore leading GenAI tools for product management, criteria for selecting appropriate solutions, and strategic planning for AI integration aligned with business objectives. Data management is crucial for GenAI applications; thus, participants will learn about data curation, privacy compliance, and anonymization techniques. Collaborative development fosters cross-functional teamwork between AI and product teams. Finally, the course covers monitoring AI performance through key metrics and continuous improvement strategies while exploring scaling solutions across product lines. Case studies provide real-world insights into successful AI implementations and challenges faced. The course concludes with future trends in GenAI and product management, preparing participants for upcoming innovations. Teams will present their AI-integrated product concepts as a final project, showcasing their understanding of design prototypes and implementation strategies.
What you'll learn
- Apply GenAI tools for market research to derive customer insights and predict market shifts.
- Develop innovative product concepts using AI-driven brainstorming techniques.
- Address ethical considerations such as bias mitigation and transparency in AI applications.
- Strategically plan for integrating GenAI solutions aligned with business goals.
- Understand the fundamental concepts of Generative AI and its distinction from discriminative models.
- Manage data effectively for privacy compliance in AI projects.
- Monitor and evaluate the performance of AI-integrated products using key metrics.
- Enhance user experience through personalized interactions powered by AI.
Course Syllabus
Day 1 - GenAI Fundamentals & Applications
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Strategic AI Implementation
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
FAQs
Our Offers
Become a Trainer
Teach what you love. Abundent Academy gives you the tools you need to run your own trainings! We provide you with the platform, the students, the materials, and the support you need to succeed!
- Higher trainer payouts
- Ready-made course materials
- Student management system
- AI digital marketing assistant
Academy for Business
Get unlimited access to all of Abundent Academy's carefully curated courses for your team, all organized according to job category and role! Perfect for companies looking to upskill their workforce and stay ahead in the tech industry.
- Carefully curated courses
- Role-based learning paths
- Team progress tracking
- Gap Identification and Analysis
Top companies choose Academy for Business
201601037204 (1208145-P)
