Canada Maple Leaf Icon Canadian Owned and Operated

Courses

Products > AI+ Product Manager
AI+ Product Manager

AI+ Product Manager

$995.00

This course focuses on integrating AI into product management, helping participants develop AI driven products that meet market needs,

Categories: , ,

Description

Why This Certification Matters

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.
What You’ll Learn

  1. 1.1 Understanding the Basics of artificial intelligence
  2. 1.2 Importance of AI

  1. 2.1 Introduction to Machine Learning
  2. 2.2 Data Preparation in ML model

  1. 3.1 Exploring How AI Can Be Leveraged in Ideation and Conceptualization
  2. 3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively

  1. 4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
  2. 4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products

  1. 5.1 Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
  2. 5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support

  1. 6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven Products
  2. 6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products

  1. 7.1 Regulatory Landscape: Explore Current Regulations and Frameworks Relevant to AI Products
  2. 7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements

  1. 8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and Product Management
  2. 8.2 Strategic Planning: Learn How to Anticipate and Adapt to Future Changes in the AI Landscape to Drive Product Innovation

  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

Prerequisites

  • Understanding the basics of digital technologies and their influence on various aspects of professional life.
  • Interest in learning about the integration of AI technologies within product development.
  • Participants should have an open mindset towards learning new concepts and technological developments.

Course + Exam Overview

Included: Instructor-led OR Self-paced course + Official exam + Digital badge
Duration: Instructor-Led: 1 day (live or virtual) or Self-Paced: 8 hours of content
Prerequisites: Basics of digital technologies, open mindset towards learning new concepts, fundamental AI/ML concepts
Exam Format: 50 questions, 70% passing, 90 minutes, online proctored exam
Delivery: Projects & case studies
Outcome: Industry-recognized credential + hands-on experience

Related products