Advanced AI+ Product Manager™

Your first step toward a promising career as an Advanced AI+ Product Manager™

Why is this certificate important?

Fundamentals of AI in Product Management: Learn the core AI concepts to enhance product development and improve decision-making.

Product Innovation with AI: Master AI tools and techniques to drive product innovation, enhance customer experience, and accelerate time-to-market.

Data-Driven Product Strategies Leverage AI to analyze data, predict trends, and develop personalized product strategies to engage target customers.

Ethical AI in Product Development Understand ethical AI practices, avoid biases, and ensure transparency and compliance in product management.

 

 

 

Quick Overview: Course and Assessment Snapshot

Program Name:

AI+ Product Manager™

Included Content:

Instructor-Led or Self-Paced Course + Official Exam + Digital Badge

Duration:

  • Instructor-Led Course: One Day (In-Person or Virtual)

  • Self-Paced Course: 8 Hours of Content

Prerequisites:

  • Fundamentals of Digital Technologies

  • Openness to Learning New Concepts

  • Fundamental Concepts in Artificial Intelligence and Machine Learning

Exam Format:

  • 50 Questions

  • Passing Score: 70%

  • Exam Duration: 90 Minutes

  • Online Proctored Exam

How to Apply:


Projects and Case Studies

Outcome:

  • Industry-Recognized Certificate

  • Hands-On Practical Experience

Who Should Enroll in the Program?

  • Product Managers: Enhance your skills by integrating AI into product development processes and driving innovation.

  • Aspiring Product Manager Candidates: Build a strong foundation in AI-driven product management strategies to kickstart your career.

  • Tech Enthusiasts: Leverage AI tools to enhance 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 and Recent Graduates: Prepare for a successful career in product management with AI by mastering the skills demanded by top companies.

Job Roles and Industry Outlook

AI Integration Specialist


Collaborate with cross-functional teams to integrate AI technologies into existing products, aiming to enhance product features and improve customer experience.

AI Solutions Engineer


Design and implement AI-driven product solutions, ensuring seamless integration into new or existing products.

AI Product Manager


Oversee the development and integration of AI technologies, managing AI-powered products to meet market needs and drive business growth.

Head of AI Product Strategy


Lead AI-based product strategy development, identify market trends, and leverage AI to create innovative product solutions.

Industry Growth: Driving Innovation Across the Product Lifecycle

  • 85% of companies invest in AI-driven product development (Source: McKinsey).

  • As AI becomes integral to decision-making processes, companies seek skilled professionals to manage AI-powered products.

  • The role of AI Product Manager continues to evolve, with growing demand across technology, retail, and manufacturing sectors.

  • AI-driven product development strengthens competitive advantage and market positioning.

Skills You Will Acquire

  • Exploring AI domains

  • AI applications in product management

  • The role of the AI Product Manager

  • Bridging technology with market solutions

  • Using AI in product development

  • Competitive advantages of AI

  • AI-driven product development processes

Entry Requirements

  • Understanding of basic digital technologies and their impact on professional life

  • Interest in learning how to integrate AI technologies into product development

  • An open mindset to learn new technological concepts and advancements

Exam Details

  • Duration: 90 minutes

  • Passing Score: 70% (35 out of 50)

  • Format: 50 multiple-choice / multiple-response questions

  • Delivery: Online via proctored testing platform (flexible scheduling)

Exam Breakdown:

  • Introduction to AI for Product Managers – 11%

  • Machine Learning Fundamentals – 11%

  • AI Product Development Lifecycle – 13%

  • AI Ethics and Bias – 13%

  • AI Implementation Strategies – 13%

  • AI Metrics and Performance Evaluation – 13%

  • AI Governance and Compliance – 13%

  • Future Trends in AI and Product Management – 13%

Choose the Format That Fits Your Schedule

Included Content (1-year subscription + all updates):

  • High-quality videos, eBook (PDF & audio), and podcasts

  • AI mentor for personalized guidance

  • Quizzes, Assessments, and Course Resources

  • Online proctored exam with one free retake

  • Comprehensive exam study guide

  • Access via tablet and mobile devices

 
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Self-paced Online Learning

8 hours of on-demand video lessons, eBook, and podcasts Learn anytime, anywhere with modular quizzes designed to track your progress

Instructor-Led Training (Live Virtual / Classroom)

One full day of intensive training featuring live demonstrations, real-time Q&A sessions, and peer collaboration. Delivered by certified AI instructors through authorized training partners.

Tools You Will Explore

Frequently Asked Questions (FAQ)

This course equips you with the knowledge and skills needed to leverage AI in product development, enabling you to confidently integrate advanced technologies into practical, market-driven solutions.

This course is designed for current Product Managers and aspiring Product Managers who want to integrate AI into their product development processes. It is suitable for individuals with a basic understanding of digital technologies and a strong interest in artificial intelligence.

Absolutely. The principles and applications of AI in product management are applicable across a wide range of industries, from technology and healthcare to finance, retail, and beyond.

 
Yes, participants who successfully complete the course and any required assessments will receive a certificate. AI+ Product Manager™.
 
 
 
 
 

While there are no strict prerequisites, having a basic understanding of product management concepts and a strong interest in leveraging AI technologies will be beneficial.

What Will You Learn?

  • 1.1 Understanding AI Fundamentals

  • 1.2 The Importance of AI

 
 

 

  • 2.1 Introduction to Machine Learning

  • 2.2 Data Preparation for Machine Learning Models

  • 3.1 Exploring How to Leverage AI for Ideation and Concept Design

  • 3.2 Prototyping and Testing: Exploring Methods for Effectively Creating and Testing AI-Powered Products

 
 
 
 
 
  • 4.1 Understanding Ethical Considerations: Examine the ethical implications of AI-powered products and the responsibilities 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 seamlessly incorporating AI features into current products.
  • 5.2 Stakeholder Management: Understand how to communicate effectively about AI initiatives with stakeholders and gain their support.
 
 
 
  • 6.1 Key Performance Indicators (KPIs): Identify the right metrics to measure the success of AI-powered products.

  • 6.2 Performance Evaluation Techniques: Learn methods for assessing the performance of AI models and products.

 
 
 
  • 7.1 Regulatory Landscape: Explore current regulations and frameworks related to AI-powered products.

  • 7.2 Compliance Strategies: Develop strategies to ensure AI products meet 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 future changes in AI and adapt to drive product innovation.

  1. Understanding AI Agents

  2. Case Studies

  3. Hands-On Training with AI Agents

 
 
 
 
 
 

Start your future now

Step into the World of AI Fundamentals with a Move That Can Transform Your Career.