IBM
IBM AI Product Manager Professional Certificate
IBM

IBM AI Product Manager Professional Certificate

Launch your career as an AI Product Manager. Build in-demand product management and generative AI skills to get job ready in 3 months or less.

Daniel C. Yeomans
Matt Versdahl
Skill-Up EdTech Team

Instructors: Daniel C. Yeomans

Sponsored by ARS SCINet/AI-COE

14,070 already enrolled

Earn a career credential that demonstrates your expertise
4.6

(433 reviews)

Beginner level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.6

(433 reviews)

Beginner level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply key product management skills, tools, and techniques to engage and manage key stakeholders and clients

  • Develop a working knowledge of Agile and adaptive methodologies used to expedite product solutions to market

  • Evaluate real-world case studies showcasing the successful integration of AI into existing product management systems

  • Demonstrate the skills and tools knowledge required to be a successful AI Product Manager

Details to know

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Taught in English

See how employees at top companies are mastering in-demand skills

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Prepare for a career in Product Management

  • Receive professional-level training from IBM
  • Demonstrate your proficiency in portfolio-ready projects
  • Earn an employer-recognized certificate from IBM
  • Qualify for in-demand job titles: Product Manager, AI Product Manager
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$82,000+
median U.S. salary for Product Management
¹
145,000+
U.S. job openings in Product Management
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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

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Professional Certificate - 10 course series

Product Management: An Introduction

Course 113 hours4.6 (438 ratings)

What you'll learn

  • Summarize the roles, responsibilities, skills, competencies, and knowledge requirements for a product manager’s success.

  • Examine the end-to-end product management lifecycle and the role the product manager plays that drives product success.

  • Investigate “value creation” and the contributions of the product manager that potentially add value to a product.

  • Compare and contrast possible career paths in product management and the certifications that will help you progress in the field.

What you'll learn

  • Apply essential communication and collaboration skills critical to product success

  • Develop interpersonal and business skills essential for product management

  • Analyze various product management communication challenges and identify the impact of communication styles

  • Examine a case study and evaluate both its strengths and areas for improvement and then offer actionable recommendations

Product Management: Initial Product Strategy and Plan

Course 318 hours4.5 (70 ratings)

What you'll learn

  • Identify the product concept using tools and techniques

  • Perform a product external assessment and internal assessment and record your findings in a SWOT template

  • Analyze market and solution requirements and develop a market requirements document (MRD)

  • Develop a product roadmap and perform a financial analysis using a business case

What you'll learn

  • Develop a comprehensive product development and launch checklist to enhance success potential

  • Define the required key pre-launch and post launch planning activities to ensure market readiness

  • Review a beta testing checklist to effectively acquire customer feedback and determine key issues that must be addressed

  • Use a checklist to determine overall launch readiness and steps that must be taken to move to the Deliver phase

Introduction to Artificial Intelligence (AI)

Course 513 hours4.7 (15,358 ratings)

What you'll learn

  • Describe what AI is and explain the core concepts related to AI

  • Demonstrate how AI applications and use cases can transform our lives and our work

  • Recognize the potential and impact of AI to transform businesses and careers

  • Describe the issues, limitations, and ethical concerns surrounding AI

Skills you'll gain

Category: Algorithms
Category: Applied Machine Learning
Category: Artificial Neural Networks
Category: Computer Vision
Category: Deep Learning
Category: Human Learning
Category: Machine Learning
Category: Machine Learning Algorithms
Category: Critical Thinking

Generative AI: Introduction and Applications

Course 66 hours4.7 (1,386 ratings)

What you'll learn

  • Describe generative AI and distinguish it from discriminative AI.

  • Describe the capabilities of generative AI and its use cases in the real world.

  • Identify the applications of generative AI in different sectors and industries.

  • Explore common generative AI models and tools for text, code, image, audio, and video generation.

Generative AI: Prompt Engineering Basics

Course 77 hours4.8 (2,352 ratings)

What you'll learn

  • Explain the concept and relevance of prompt engineering in generative AI models.

  • Apply best practices for creating prompts and explore examples of impactful prompts.

  • Practice common prompt engineering techniques and approaches for writing effective prompts.

  • Explore commonly used tools for prompt engineering to aid with prompt engineering.

Generative AI: Foundation Models and Platforms

Course 86 hours4.7 (139 ratings)

What you'll learn

  • Describe the fundamental concepts of generative AI and its core models

  • Explain the concept of foundation models in generative AI

  • Explore the capabilities of pre-trained models for AI-powered applications.

  • Explore the features, capabilities, and applications of different generative AI platforms, such as IBM watsonx and Hugging Face

Product Management: Building AI-Powered Products

Course 97 hours4.4 (44 ratings)

What you'll learn

  • Explain the roles of an AI product manager and the required skills to manage a product lifecycle, and explore their daily routine.

  • Conduct a skills analysis, examine AI opportunities and challenges, and use AI tools in product development and market reach expansion.

  • Describe the AI value proposition, methods for communicating with stakeholders, the AI process, stages of AI product development, and the ROI of AI.

  • Discuss AI integration into the product management lifecycle, AI’s impact and use cases, and strategies for commercializing AI products.

Generative AI: Supercharge Your Product Management Career

Course 1010 hours4.6 (52 ratings)

What you'll learn

  • Explain the fundamental concepts and benefits of using Generative AI in product management

  • Demonstrate proficiency in using different generative AI tools, such as ChatGPT, Gemini, Copilot, and DALL-E, for product management

  • Analyze the ethical considerations when using generative AI to conceive, plan, and launch products

  • Apply generative AI techniques to improve performance across the product lifecycle

Instructors

Daniel C. Yeomans
SkillUp EdTech
24 Courses70,072 learners
Matt Versdahl
SkillUp EdTech
2 Courses43,569 learners
Skill-Up EdTech Team
SkillUp EdTech
66 Courses117,035 learners

Offered by

IBM
SkillUp EdTech

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¹Lightcast™ Job Postings Report, United States, 7/1/22-6/30/23.