Accelerate your career with the globally recognized BrainStation AI Product Manager Certification (PMC™), a comprehensive AI product manager course led by industry leaders. Earn your AI product management certification through real-world projects, live instruction, and AI-augmented workflows. Gain the core fundamentals, strategic frameworks, and AI understanding needed to excel in modern product management, and become a certified product manager.
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Gain essential Product Manager skills with hands-on instruction from industry leaders working at the best global tech companies like Amazon, Meta, and Microsoft.
BrainStation helped me better understand product, marketing, entrepreneurship. And all of those different skills led me to Shopify.
Maxime
Product Management at Shopify
BrainStation helped me better understand product, marketing, entrepreneurship. And all of those different skills led me to Shopify.
Maxime
Product Management at Shopify
AI Product Manager Certification (PMC™) Course Overview
PMC-2026Q3
Concepts
Product Development Lifecycle (PDLC)
Product Discovery
Opportunity Discovery
Product Strategy
Product Vision
Value Proposition
Product-Market Fit
Customer Research
User Personas
Market Analysis
Artificial Intelligence (AI)
Generative AI
Research Synthesis
Minimum Viable Product (MVP)
Product Requirements Documents (PRDs)
Product Roadmaps
Product Prioritization
Stakeholder Collaboration
Agile Product Development
Scrum
Sprint Planning
Wireframing
Rapid Prototyping
Usability Testing
Go-to-Market (GTM) Strategy
Product Analytics
Key Performance Indicators (KPIs)
Validation & Iteration
Product Development Lifecycle (PDLC)
Artificial Intelligence (AI)
Scrum
Product Discovery
Generative AI
Sprint Planning
Opportunity Discovery
Research Synthesis
Wireframing
Product Strategy
Minimum Viable Product (MVP)
Rapid Prototyping
Product Vision
Product Requirements Documents (PRDs)
Usability Testing
Value Proposition
Product Roadmaps
Go-to-Market (GTM) Strategy
Product-Market Fit
Product Prioritization
Product Analytics
Customer Research
Stakeholder Collaboration
Key Performance Indicators (KPIs)
User Personas
Agile Product Development
Validation & Iteration
Market Analysis
Frameworks
Lean Product Development
Agile Methodology
Scrum Framework
Kanban
Jobs-To-Be-Done (JTBD)
Kano Model
Root Cause Analysis
How Might We Statements
Objectives & Key Results (OKRs)
Product Development Process
Stakeholder Communication Framework
Lean Analytics
Risk Assessment Framework
Lean Product Development
Kano Model
Stakeholder Communication Framework
Agile Methodology
Root Cause Analysis
Lean Analytics
Scrum Framework
How Might We Statements
Risk Assessment Framework
Kanban
Objectives & Key Results (OKRs)
Jobs-To-Be-Done (JTBD)
Product Development Process
Skills
Product Decision Making
Problem Space Analysis
Customer Interviews
Research & Insight Synthesis
Product Prioritization
Roadmap Planning
Writing PRDs
Writing User Stories
Defining Acceptance Criteria
Defining Epics
Backlog Grooming
Sprint Planning
Standups & Retrospectives
Agile Ceremonies
Cross-Functional Collaboration
Wireframing
Rapid Prototyping
AI-Assisted Prototyping
Usability Testing
Go-to-Market Strategy
Product Analytics & Reporting
Communicating Product Metrics
Customer Acquisition Cost (CAC)
Customer Lifetime Value (CLV)
Net Promoter Score (NPS)
Retention Metrics
AI-Assisted Product Workflows
Industry tools
Gemini
Claude
ChatGPT
Copilot
Perplexity
NotebookLM
Figma Make
Jira
Canva
This professional development course does not require approval under the Ontario Career Colleges Act, 2005.
Why Get Certified as a Product Manager
Taught By Leaders From Top Global Tech Companies
Receive hands-on training from product management leaders working at companies like Amazon, Meta, and Microsoft.
Build Your Product Management Portfolio
Build a product management portfolio that demonstrates your unique expertise and experience.
Globally Recognized By Top Companies
BrainStation certifications are globally recognized by top companies for the most advanced and up-to-date skills.
Product Manager Success Stories
The program included a final product presentation reviewed through detailed instructor assessments. Its structured and in-depth curriculum, combined with high-quality feedback, created a learning experience that was focused, practical, engaging and outcome-driven.
Derya Aydın
Principal Technical Program Manager at Microsoft
The Product Management course was truly engaging, offering a wealth of real-world examples and hands-on practice sessions.
The instructors generously shared their professional experiences, openly discussed best practices, and provided valuable feedback on group assignments. It was also a fantastic opportunity to connect with peers - both current Product Managers and those looking to transition into the field.
Thanks to this course, I gained essential knowledge and practical frameworks that will be useful in my current role and will support my future career steps.
Denis Piliaev
Project Manager at Meta
Within my Product Management course, I learned new tools that I could apply directly to my work.
The classes were interactive, and the conversations we had enriched the learning experience, making it both insightful and enjoyable.
Karla Paola Giacinti Mora
Manager, Enterprise Design & Delivery at Scotiabank
I work in the tech strategy team at a global bank. The top benefit I got from the course is great connections to the industry.
My instructors are established product managers in big tech - there is no better way to learn than a dedicated space and time every week for 2 months to ask unfiltered questions, with people who have spent years of effort achieving great things in the space.
Highly recommend for those who are learning and exploring what the PM role and career may look like.
Jin Na Sun
Senior Associate at J.P. Morgan
The Product Management Certification (PMC) at BrainStation has been an incredible learning experience - connecting all the puzzle pieces to visualize how a Product Manager starts with a problem statement, navigates through structured steps, and ultimately builds an MVP product to test the hypothesis.
I was seeking a more experience-driven approach to learning Product Management, beyond just Agile and Scrum frameworks and my instructors’ mentorship, insights, and candid experiences, made this journey both enriching and rewarding.
Their willingness to answer every question with honesty and depth truly made a difference.
Baran Raju
Product Owner | Senior Business Analyst at Cognizant
From attending in-person classes and gaining insights from industry experts to spending weekends building our own project, it was an incredibly productive and inspiring experience.
One of the highlights was connecting with such a diverse group of classmates, all from different industries and cultural backgrounds.
Through this experience, I gained hands-on understanding of the full product development lifecycle, including defining an MVP, writing user stories, positioning a product, and tracking key metrics.
Gabriela Zaia Rocha
Senior Supply Chain Account Manager at Bosch
Miguel Gentile
VP of Product at PolicyMe
Palwasha Ghani
Lead Digital Product Owner at RBC Insurance
Strachan Gould
Senior Product Manager at Bumble Inc.
Reza Hussain
Senior Manager, Product Management at Lowe’s
Bianca Kamper
Senior Digital Product Manager at Red Bull Media House
Brit Mackey
Product Designer, Growth at Zapier
Zoya-Aleah Abrams
Digital Product Manager at BMO
Yara Abuhudra
Innovation Project Manager at DHL
Udeaku Adekunle
Senior Manager (Product) at Visa
Elias Adum
Staff Software Engineer at Shopify
Himanshu Aggarwal
Director at Sun Life
Saayed Agha
Manager, Industrial Engineering at Walmart
Heba Ahmed
Senior Product Manager at PwC
Katherine Radojewski
Implementation Specialist at SurveyMonkey
Miguel Gentile
VP of Product at PolicyMe
Palwasha Ghani
Lead Digital Product Owner at RBC Insurance
Strachan Gould
Senior Product Manager at Bumble Inc.
Reza Hussain
Senior Manager, Product Management at Lowe’s
Bianca Kamper
Senior Digital Product Manager at Red Bull Media House
Brit Mackey
Product Designer, Growth at Zapier
Zoya-Aleah Abrams
Digital Product Manager at BMO
Yara Abuhudra
Innovation Project Manager at DHL
Udeaku Adekunle
Senior Manager (Product) at Visa
Elias Adum
Staff Software Engineer at Shopify
Himanshu Aggarwal
Director at Sun Life
Saayed Agha
Manager, Industrial Engineering at Walmart
Heba Ahmed
Senior Product Manager at PwC
Katherine Radojewski
Implementation Specialist at SurveyMonkey
AI Product Management Course Start Dates
Take the AI Product Management Certification online or in-person at any of BrainStation's global spaces.
Select a time that fits your schedule.
Learn in-person from experienced industry leaders, for 3 hours a week for 8 weeks.
Learn live from experienced industry leaders
John Lang is an experienced professional who brings years of experience into the classroom to teach you essential skills.
AI Product Management Certification Course Curriculum
Unit 1
Product Discovery & Strategy
Explore the end-to-end Product Development Lifecycle (PDLC) and learn how Product Managers guide products from concept to market. Through real-world product case studies, build the foundational product management skills enabling you to identify the right opportunities and align your team on a clear product vision. Use AI to accelerate discovery activities including customer and market research, along with user interview synthesis and analysis as you work towards refining your strategy.
Gemini
Claude
ChatGPT
Copilot
Perplexity
NotebookLM
Key Skills:
Product Development Lifecycle (PDLC)
Product Discovery
Opportunity Discovery
Customer Research
Product Strategy
Market Analysis
Competitive Analysis
Product Thinking
Stakeholder Communication
AI-Assisted Product Workflows
Conduct Customer Discovery and Market Research
Learn how a Certified AI Product Manager performs effective customer research, leveraging conversational AI engines to synthesize user feedback at scale. Define your target customers as rich user personas to inform your customer-centric strategy.
Problem Space vs Solution Space
Learn to separate the problem you're solving from the solution you're building: a distinction that shapes every downstream product decision. Apply structured frameworks and AI-assisted analysis to evaluate opportunities and move into the solution space with confidence.
Define the Product Vision and Strategy
Translate your research and customer insights into a product vision and strategy that connects customer needs to business goals. Learn to set a clear product direction and align your team around what to build.
Unit 2
Product Planning & Agile Execution
Move from identifying opportunities to defining and executing on solutions. Discover how Agile and Lean methodologies work in tandem to enable cross-functional product teams to move quickly and iterate toward product-market fit. Learn how a Certified AI Product Manager collaborates with engineering teams while leveraging AI to accelerate planning, prioritization, and documentation at every step.
Gemini
Claude
ChatGPT
Copilot
JIRA
Key Skills:
MVP Definition
Product Requirements Documents (PRDs)
Product Roadmapping
Product Prioritization
OKRs & KPIs
Agile Product Development
Sprint Planning
Stakeholder Collaboration
Cross-Functional Communication
AI-Assisted Product Planning
Scrum Frameworks
Sprint Planning
Define Product Solutions & MVPs
Learn how Product Managers apply the build-measure-learn Lean framework to scope efficient Minimum Viable Products (MVPs). Explore how AI can let you rapidly test hypotheses and iterate toward an MVP.
Create PRDs & Roadmaps
Develop practical skills writing PRDs with AI, prioritizing features, and understanding how product roadmaps align teams, communicate product direction, and guide product development over time.
Unit 3
AI-Powered Prototyping, Testing & Validation
Move from planning to building by turning product requirements into wireframes, user flows, and prototypes. Leverage iterative product development processes to validate product decisions and learn how AI Product Managers work cross-functionally with design and engineering to bring ideas to execution. Explore how AI is transforming the prototyping process, helping product teams move from concept to testable prototype faster.
Gemini
Claude
ChatGPT
Copilot
Figma Make
Key Skills:
Rapid Prototyping
Wireframing
User Flows
User Testing
Cross-Functional Collaboration
Iterative Product Development
Rapid Prototyping with AI
Explore how AI tools can accelerate product prototyping by generating wireframes, prototypes, interface concepts, user flows, and early-stage product ideas.
Test & Validate Product Ideas
Learn how product teams gather user feedback, validate assumptions, and evaluate product experiences through testing and iteration. Explore how validation helps reduce risk and improve product decisions.
Design & Engineering Collaboration
Explore how AI Product Managers work cross-functionally with designers and engineers to communicate product requirements, align priorities, and support product execution.
Unit 4
Go-to-Market Strategy & Product Analytics
Complete the Product Development Lifecycle (PDLC) by learning how AI Product Managers develop go-to-market (GTM) strategies that connect product positioning, customer needs, marketing, and business goals, supported by modern AI tools. Build the product analytics skills to measure adoption, engagement, and business impact after launch, and use performance data to guide future decisions.
Gemini
Claude
ChatGPT
Copilot
Canva
Key Skills:
Go-to-Market (GTM) Strategy
Product Positioning
Product Launch Planning
Stakeholder Alignment
Product Analytics
KPIs & Success Metrics
Product Performance Reporting
Data-Driven Product Decisions
AI-Assisted Product Analytics
Develop a Go-to-Market Strategy
Learn how Product Managers plan and support successful product launches by aligning positioning, target audiences, messaging, and business goals. Explore the key components of an effective GTM strategy.
Measure Product Success
Discover how product teams track product performance using KPIs, analytics, and customer feedback. Learn how Product Managers evaluate adoption, engagement, and business impact to guide future product decisions.
Leverage AI Tools for Product Analytics
Explore how AI tools can support product workflows by analyzing feedback, identifying trends, generating insights, and accelerating product reporting and decision-making.
Earn Your AI Product Manager Certification (PMC™)
Successfully completing BrainStation’s AI Product Management Certification course will earn you the globally recognized BrainStation AI Product Manager Certification (PMC™), demonstrating your mastery of the latest cutting-edge skills and tools. Add this credential to your LinkedIn profile and resume or CV.
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View the Product Manager Course Package to Learn More.
View the Course Package to access:
Tuition details
Financing options
Employer sponsorship
Program Package Request
Thank you, your submission has
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will be in touch.
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With a BrainStation Certification, you'll join our global alumni network: a community of accomplished professionals with BrainStation Certifications across a range of critical tech skills, including Product Management.
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Industry-Led Product Management Certification
BrainStation's globally recognized certifications are created by industry professionals, for industry professionals. Our network of experts from leading tech companies provide insights and guidance to ensure each certification demonstrates the latest cutting-edge skills and tools.
Welcome to
BrainStation Torontoat The Well
Learn in the Center of Toronto's Tech Hub
Located in the heart of Toronto's Tech Alley, BrainStation is at the center of Toronto's tech scene, surrounded by the best tech companies in Toronto. In addition to courses, BrainStation Toronto offers training sessions, industry events, expert panel discussions, and more.
What does it mean that the AI Product Management course is "AI-augmented"?
This course teaches foundational, industry-standard Product Management, but with a massive competitive edge: you will learn to use AI tools at every stage of the product lifecycle. Instead of relying on manual workflows alone, you will use generative AI and automation to conduct market research, synthesize user feedback, write PRDs, and build roadmaps in a fraction of the time.
Do I need to know how to code or understand data science to take this course?
Not at all. You do not need any coding, engineering, or data science experience. This course is about Product Management methodology, not building AI models. You will learn how to use existing AI tools to strengthen your strategic thinking, writing, and analytical work as a PM.
How exactly will I use AI during the product lifecycle in this course?
You will integrate AI tools into the core pillars of PM work:
Discovery
Use conversational AI to synthesize customer and market research and user interviews at scale, extracting key insights and pain points.
Strategy
Use AI-assisted analysis to evaluate opportunities and shape a product vision and strategy that connects customer needs to business goals.
Definition
Use AI to write PRDs, scope MVPs, and prioritize features into a clear roadmap.
Optimization
Use AI-driven product analytics to measure performance and surface trends and insights from KPIs and customer feedback to guide decisions.
What specific AI tools will I learn to use in my PM workflow?
You will get hands-on experience with leading generative AI tools, including ChatGPT, Claude, Gemini, Copilot, and Perplexity, alongside product tools such as Figma Make for prototyping and Jira for product workflows.
Will I still learn traditional Product Management fundamentals?
Yes, an AI tool is only as good as the PM directing it. You will learn core PM methodologies in depth: Agile/Scrum frameworks, user-centric design principles, KPI mapping, feature prioritization frameworks, and stakeholder management. AI is taught as an accelerator for these fundamentals, not a replacement for them.
What kind of project will I build for my portfolio?
You will develop an end-to-end product launch strategy for a digital product from scratch. Using AI tools to assist your workflow, you will produce a validated product concept, a product roadmap, an MVP prototype, and a go-to-market strategy, presenting your work as a final portfolio project. This portfolio piece shows employers that you can deliver high-quality product management work.
Is this course better for beginners or experienced professionals?
It's ideal for both. For aspiring Product Managers or career switchers, it teaches PM frameworks the right way for the modern job market, giving you an advantage over those using outdated and inefficient processes. For current PMs, business analysts, or project managers, it's an effective upskilling program to help you work more effectively and stay competitive in an AI-driven workforce.
Who teaches the course, and how do they use AI?
Classes are taught live by active Product Leaders from top tech companies (like Amazon, Meta, and Microsoft). These are practitioners who actively use AI tools in their daily roles to manage teams, scale products, and streamline their workflows, so you get practical, real-world insights.
What is the format and weekly time commitment?
The course is a part-time, 8-week program designed for working professionals. It requires 3 hours of live instruction per week, which you will attend in person at one of our locations in either New York, Toronto, or London, or entirely live online. Students typically spend an additional 2 to 4 hours per week applying what they've learned to their hands-on PM portfolio project.
Why should I choose this over a standard, non-AI Product Management course?
Traditional PM courses teach workflows from five years ago. In today's market, employers want PMs who know how to work smart and fast. By learning how to leverage AI as a product lifecycle assistant, you learn how to condense days of competitive research and document drafting into hours, making you an incredibly efficient and attractive PM.
Can I get my employer to sponsor my tuition for this course?
Absolutely. Because this course directly focuses on increasing operational efficiency and productivity using modern tools, it qualifies for most corporate Learning & Development budgets. We provide an Employer Sponsorship Package complete with a syllabus breakdown and an expense justification letter to help you pitch the ROI of this course to your manager.
What kind of networking and community opportunities does BrainStation offer?
When you enroll, you join a global network of over 35,000 BrainStation certified professionals. At our New York, Toronto, and London locations, you'll have access to networking mixers, industry panel events, and collaborative workspaces, and all learners gain access to our community Slack, where you can connect with peers and instructors and stay in touch after the course ends.
How recognized is the BrainStation AI Product Manager Certification (PMC™)?
The AI Product Manager Certification (PMC™) is a globally recognized credential. BrainStation has been a leader in digital skills training since 2012 and has certified over 35,000 professionals globally. Adding this certification to your resume and LinkedIn signals to recruiters that you possess modern, validated product skills.
What happens if I have to miss a live session due to work?
Don't worry: flexibility is built into the program. If you need to miss a session, our team will help make sure you're able to catch up with your cohort. Sessions are live, interactive, and hands-on, so it's important to make class attendance a priority.
What are the payment and financing options available?
We want to make upskilling accessible. We offer flexible payment options, including payment plans and partial scholarship opportunities, subject to eligibility. A Learning Advisor can help find the option that works best for you.
Product Management 101
Will a Product Management certification help my career path?
A Product Management certification supports career growth by validating expertise, demonstrating commitment, and building a foundation in essential concepts. This credential can make candidates more attractive to employers, especially those transitioning into product management or aiming for senior roles.
Is a Product Management course right for me?
A Product Management certification course is ideal if you're new to the field, transitioning careers, or aiming to formalize your skills. It provides structured frameworks, best practices, hands-on experience, and adds credibility to your resume, making you a stronger candidate in the job market.
Do I need a degree to become a Product Manager?
You don’t need a degree to become a Product Manager. Many Product Managers succeed through experience, skill-building, certifications, and continuous learning, although a degree in business, engineering, or a related field can be helpful.
How to prepare for a Product Management course?
Prepare for a Product Management course by learning basic concepts like product development cycles, Agile methodology, and customer research. Strengthen analytical skills, understand product metrics, and familiarize yourself with UX and market planning principles. Exposure to project management and collaboration tools is also helpful.
Is it worth it to become a certified Product Manager?
Becoming a Certified Product Manager is often worth it, particularly for those early in their career or transitioning into Product Management. Certification offers formal training, validates skills, boosts marketability, and demonstrates commitment, helping to build a solid foundation in product management concepts and best practices.
What kinds of skills do I need to get a job in Product Management?
To get a job in Product Management, essential skills include strategic thinking, customer empathy, effective communication, data analysis, prioritization, and leadership. Familiarity with Agile practices, UX/UI basics, and experience with project management and analytics tools are also advantageous.
What is the Product Management process?
The Product Management process is a structured, five-stage approach: 1. Discovery (identify customer needs and market opportunities), 2. Planning (define vision and strategy), 3. Development (collaborate with teams to build the product), 4. Launch (bring product to market), and 5. Evaluation (measure performance and iterate).
What is Agile methodology and should I learn it?
Agile methodology in Product Management supports faster value delivery, quick adaptation to changes, and customer-focused development. Agile prioritizes impactful features, enhances team collaboration, and improves product quality. Mastering Agile makes you more adaptable and effective, increasing your value as a product management professional.
What is a product life cycle?
The Product Life Cycle is the series of stages a product goes through from its inception to its eventual decline and discontinuation. It typically includes four stages: Introduction (launch and initial market entry), Growth (increased adoption and market expansion), Maturity (slowing growth and peak market penetration), and Decline (decreasing demand and potential phase-out). Understanding the product life cycle helps in making strategic decisions related to marketing, pricing, and resource allocation at each stage.
What is a Product Owner?
A Product Owner is a role within the Agile framework responsible for maximizing the value of the product by managing and prioritizing the product backlog. They serve as the primary liaison between stakeholders and the development team, ensuring that the team builds the right features in alignment with business goals and customer needs. Their responsibilities include defining user stories, clarifying requirements, and ensuring that the product meets the acceptance criteria.
What is the difference between a Product Manager and a Product Owner?
A Product Manager focuses on the strategic aspects of a product, such as vision, market research, roadmap planning, and stakeholder alignment. In contrast, a Product Owner is more tactical, working closely with development teams to define user stories, prioritize the backlog, and ensure the product is built according to the requirements. While their responsibilities often overlap, the Product Manager typically has a broader business focus, while the Product Owner has a more execution-oriented role.
How can a Product Management certification help my career?
A Product Management certification can help your career by validating your expertise, enhancing your credibility, and showcasing your commitment to the profession. It also provides structured knowledge, exposure to best practices, and networking opportunities, which can be valuable when pursuing advanced roles or transitioning to new industries.
How do I become a Product Manager?
To become a Product Manager, start by learning the basics of product management and building skills in strategy, communication, and problem-solving. While there are several continuing education training options, a certification course is an ideal way to gain structured knowledge, hands-on experience, and a recognized credential that boosts your chances of landing a role, especially if you’re just starting out or transitioning from a different field.
Product Management is the process of guiding a product from concept to launch and beyond. It involves defining product vision and strategy, understanding customer needs, prioritizing features, and working closely with cross-functional teams to build and refine the product. The goal is to create products that meet business objectives and deliver value to users.
There isn’t a single typical career path to becoming a Product Manager, as people come from diverse backgrounds like engineering, marketing, UX, business, and more. In fact, 88 percent of Product Managers started their careers in a different field.
Yes, Product Management is considered a great career for those who enjoy blending strategy, creativity, and problem-solving. It offers high impact, diverse responsibilities, and opportunities for growth, making it ideal for people who want to shape product direction and work cross-functionally with different teams.
What is the difference between a Product Manager and a Project Manager?
A Product Manager focuses on defining the product vision, strategy, and roadmap, making sure the product meets customer needs and business goals. In contrast, a Project Manager is responsible for planning, executing, and delivering projects on time and within scope, often coordinating resources and managing schedules to ensure successful project completion.
Product Managers use a variety of tools, including roadmapping tools for planning and strategy, project management tools for tracking progress and collaboration, data analytics tools for understanding user behavior and product performance, and communication tools to facilitate teamwork and stakeholder engagement. The goal is to streamline product development and ensure alignment across teams.
Everything a Product Manager does is related to delivering product success. That means they are responsible for defining and coordinating all activities needed to bring a digital product to market. This can include customer and user research, identifying market opportunities, product specifications, product development, revenue and pricing modeling, roadmapping, product process, and more.
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Professional Certification
AI Product Management Certification
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2026-07-14T22:30:00.0000000Z
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