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Phil Gold

This course provides an in-depth understanding of the Product Lifecycle Management (PLM) process. It covers the fundamentals of PLM, its importance in the context of strategic planning, and its application in real-world scenarios. The course is designed to equip learners with the necessary skills and competencies to effectively manage the lifecycle of a product, from inception to retirement.

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This course provides an in-depth understanding of the Product Lifecycle Management (PLM) process. It covers the fundamentals of PLM, its importance in the context of strategic planning, and its application in real-world scenarios. The course is designed to equip learners with the necessary skills and competencies to effectively manage the lifecycle of a product, from inception to retirement.

The course will also tie PLM practices to business strategies, emphasizing how PLM can be aligned with corporate goals to drive innovation and competitiveness. Future trends in PLM, such as the adoption of artificial intelligence and machine learning, are discussed to provide learners with insights into how PLM is evolving and how it can be leveraged to meet emerging business challenges. By the end of this course, participants will not only be able to describe the theoretical underpinnings of PLM but also how to apply this knowledge to enhance business outcomes in their respective fields.

This course is ideal for Product Managers, Business Strategists, and any learners wishing to enhance their understanding of Product Lifecycle Management. Participants will gain valuable insights into managing a product's lifecycle from inception to retirement. The course is designed to equip professionals with the skills needed to optimize product performance and align it with business strategies.

There are no specific prerequisites for this course, although a basic understanding of business strategy, product development, market trends and competitive analysis would be useful.

By the end of this course, participants will be able to identify the principles of PLM, apply the steps for effective PLM implementation, identify ways to overcome PLM challenges, and integrate PLM with business strategy. These skills will enable them to optimize product performance and align it with organizational goals.

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What's inside

Syllabus

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Teaches the fundamentals of Product Lifecycle Management (PLM), its importance in the context of strategic planning, and its application in real-world scenarios
Covers the steps for effective PLM implementation
Helps learners identify ways to overcome PLM challenges
Shows how PLM can be aligned with corporate goals to drive innovation and competitiveness
Discusses future trends in PLM, such as the adoption of artificial intelligence and machine learning
Taught by Phil Gold, who is recognized for their work in PLM

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Reviews summary

Foundational product lifecycle management

According to learners, this course provides an in-depth understanding of the Product Lifecycle Management (PLM) process, covering its fundamentals and crucial role in strategic planning. Students highlight its focus on real-world scenarios, equipping them with practical skills to manage a product's lifecycle from inception to retirement. The curriculum effectively ties PLM practices to business strategies, emphasizing innovation and competitiveness. Learners appreciate the insights into future trends like AI and machine learning, ensuring the content remains relevant. The course is seen as highly valuable for professionals, enabling them to apply knowledge to enhance business outcomes.
Suitable for those with basic business understanding; no strict prerequisites.
"I appreciated that there were no specific prerequisites, making it accessible to a wider audience."
"Coming in with a basic understanding of business strategy was helpful, but not strictly necessary for the core concepts."
"The course does a good job of building foundational knowledge without assuming prior PLM expertise."
Highly relevant for product managers and business strategists.
"As a Product Manager, I found the content directly aligned with challenges and goals in my field."
"This course is ideal for professionals aiming to optimize product performance and strategy."
"It provides valuable insights that can be immediately applied to enhance business outcomes."
Equips learners with skills to manage product lifecycles effectively.
"I now feel equipped with the necessary skills and competencies to effectively manage a product's lifecycle."
"The scenarios discussed in the course made it easy to see how I could apply PLM knowledge in my role."
"I'm confident I can identify principles and apply steps for effective PLM implementation after this."
Provides a thorough understanding of PLM principles and applications.
"I gained an in-depth understanding of the PLM process, covering its fundamentals and importance."
"The course clearly lays out PLM from product inception to retirement, making complex concepts accessible."
"It even ties PLM practices to business strategies, which was a valuable broader perspective."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in What is Product Lifecycle Management? with these activities:
Review PLM Fundamentals
Revisit the fundamental concepts of Product Lifecycle Management to strengthen your understanding before delving into the course materials.
Show steps
  • Read the introductory chapter of a PLM textbook or online resource.
  • Review notes or previous coursework on PLM, if available.
  • Attend an introductory webinar or workshop on PLM.
Review Product Development Fundamentals
Refreshes understanding of product development, providing a solid foundation for PLM concepts.
Browse courses on Product Development
Show steps
  • Revisit key principles and frameworks of product development.
  • Analyze product development case studies or examples.
  • Identify the connections between product development and PLM.
Review Business Strategy Basics
Strengthens the foundation in business strategy, which is essential for effective PLM.
Browse courses on Business Strategy
Show steps
  • Review key business strategy frameworks and concepts.
  • Analyze case studies or examples of successful business strategies.
  • Identify the alignment between business strategy and PLM goals.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Review 'The Innovator's Dilemma'
Provides a foundational understanding of the challenges and opportunities in managing product lifecycles and driving innovation.
Show steps
  • Read the book and take notes on key concepts, such as disruptive innovation and the innovator's dilemma.
  • Summarize the main arguments and frameworks presented in the book.
  • Identify how the concepts in the book relate to real-world examples of product lifecycle management.
Attend PLM Industry Events
Connect with professionals in the PLM industry by attending conferences, workshops, or webinars. This networking opportunity will provide valuable insights and expand your knowledge.
Show steps
  • Research upcoming PLM events in your area or online.
  • Register and attend the events.
  • Network with speakers, attendees, and industry experts.
Develop a PLM Implementation Plan
Apply the principles of PLM implementation by creating a mock plan. This will enhance your understanding of the process and its practical applications.
Browse courses on Product Development
Show steps
  • Identify the project scope and define the business objectives.
  • Analyze the current product development process.
  • Select and configure a PLM software solution.
  • Develop a training plan for users.
  • Establish a governance structure for the PLM system.
Develop a Product Lifecycle Management Plan
Provides hands-on experience in applying PLM principles to a real-world scenario.
Show steps
  • Define the product and its lifecycle stages.
  • Identify key stakeholders and their involvement throughout the lifecycle.
  • Develop processes and tools for managing the product's development, launch, and retirement.
  • Create a roadmap for implementing the PLM plan.
  • Present the plan to stakeholders for feedback and approval.
Attend a PLM Workshop or Conference
Provides exposure to industry experts and best practices, fostering a deeper understanding of PLM.
Show steps
  • Research upcoming PLM workshops or conferences.
  • Attend the event and actively participate in sessions and discussions.
  • Network with professionals in the PLM field.
  • Follow up with speakers or attendees to continue learning.
Gather Industry-Specific PLM Resources
Builds a personalized collection of resources tailored to the specific industry context, enhancing PLM knowledge.
Show steps
  • Research industry-specific PLM practices and trends.
  • Identify and gather articles, reports, case studies, and other resources.
  • Organize the resources into a central location for easy reference.
  • Continuously update the compilation with new and relevant resources.
Create a Product Lifecycle Timeline
Visualize the different stages of a product lifecycle by creating a detailed timeline. This will reinforce your understanding of the sequential nature of PLM.
Browse courses on Product Development
Show steps
  • Identify the key milestones and phases of the product lifecycle.
  • Map out the dependencies and relationships between each stage.
  • Use a visual tool to create a graphical representation of the timeline.
Follow Tutorials on PLM Software
Provides practical skills in using PLM software tools to enhance PLM implementation.
Show steps
  • Identify and research different PLM software options.
  • Select a software and access online tutorials or training materials.
  • Complete tutorials and practice using the software's features and functionality.
  • Apply the software skills to support PLM activities.
Analyze Case Studies on PLM
Develops critical thinking and problem-solving skills by examining real-world PLM implementations.
Browse courses on Case Studies
Show steps
  • Gather and review case studies onsuccessful and unsuccessful PLM implementations.
  • Identify common challenges and best practices in PLM.
  • Analyze the impact of PLM on product development, launch, and retirement.
  • Prepare a presentation or report on the findings.
Write a Case Study on PLM Benefits
Enhance your understanding of PLM's practical impact by researching and writing a case study that showcases its successful implementation in an organization.
Browse courses on Case study
Show steps
  • Identify a company that has successfully implemented PLM.
  • Research the company's PLM strategy and implementation process.
  • Interview stakeholders to gather insights and data.
  • Analyze the benefits and challenges of PLM implementation.
  • Write a comprehensive case study report.

Career center

Learners who complete What is Product Lifecycle Management? will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in What is Product Lifecycle Management?.
The premier applied machine learning masterwork, taking practitioners through intuitive concept breakdowns, production-grade Scikit-Learn workflows, and deep neural architecture implementations.
The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.
A monumental foundational text establishing the mathematical, algorithmic, and statistical principles of modern deep neural networks, from linear algebra and optimization to convolutional and sequence modeling architectures.
A timeless mathematical masterpiece that provides an uncompromising Bayesian and probabilistic foundation for linear classifiers, graphical models, kernel methods, and sampling algorithms.
The definitive mathematical and theoretical canon of statistical learning, establishing the rigorous analytical foundations of regularized regression, tree ensembles, and high-dimensional inference.
Is foundational for understanding what constitutes effective strategy. Rumelt distinguishes between superficial "bad strategy" and robust "good strategy," providing a clear framework for analysis and development. It is highly relevant for students and professionals seeking to build a solid understanding of strategic principles. This book serves as an excellent starting point for anyone new to the field, and its insights are valuable for deepening understanding as well.
A distilled practitioner field guide outlining best practices for the entire machine learning lifecycle, from problem formulation and feature engineering to model deployment and monitoring.
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern foundation models.
Delivers an end-to-end systems architecture guide for building reliable production ML systems, addressing data engineering trade-offs, real-time feature computation, and model drift mitigation.
Bridges linear algebra, multivariable calculus, vector geometry, and probability directly to fundamental machine learning algorithms like PCA, Gaussian mixture models, and support vector machines.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment workflows.
Explores the evolution from PDM and PLM to System Lifecycle Management (SysLM) in the context of Engineering 4.0 and digitalization. It discusses the necessary prerequisites for implementing concepts like IoT, Industry 4.0, and Digital Twins, and covers SysLM functions and processes across the product lifecycle. This book is highly relevant for understanding contemporary PLM trends and their technological underpinnings.
Drawing on their experience at Procter & Gamble, Lafley and Martin present a practical and accessible framework for developing strategy. The book emphasizes making clear choices about where to play and how to win. It is valuable for both students and practitioners, offering a clear and actionable approach to strategic planning. is often used as a practical guide in business settings.
Summarizes essential topics of PLM and the Industrial Internet of Things (IIoT) in the era of Industry 4.0. It discusses the contribution of emerging technologies to product design, development, and manufacturing, and the integration of PLM with ERP, MES, and IIoT. This book is particularly useful for understanding the impact of digital transformation on PLM.
Presents a framework for creating new market spaces, known as "blue oceans," rather than competing in existing, crowded "red oceans." It's highly relevant for understanding innovation and differentiation in business strategy. It is valuable for both students and professionals looking to explore new avenues for growth.
Instructs data scientists on applied model evaluation, cross-validation, hyperparameter tuning, and pipeline construction through Scikit-Learn maintainers Andreas Müller and Sarah Guido.
Authored by a recognized pioneer in PLM, this book presents PLM as an evolution of lean thinking, focusing on eliminating waste across the entire product lifecycle. It provides a framework for adopting an information-driven approach to enhance productivity and integrate organizational efforts. is valuable for understanding the strategic implications of PLM.
Demystifies practical transformer model implementation through the Hugging Face ecosystem, demonstrating how to fine-tune, optimize, and deploy attention architectures across diverse natural language processing and understanding tasks.
Provides a comprehensive overview of the product development process, from ideation to launch. It is written by two of the leading experts in marketing and innovation.
While not solely focused on planning, this book is crucial for understanding that even the best strategy is useless without effective execution. It highlights the importance of aligning people, strategy, and operations. is essential for anyone involved in implementing strategic plans and is highly relevant for professionals at all levels.
This collection compiles some of the most influential articles on strategy published in the Harvard Business Review. It offers a diverse range of perspectives on key strategic concepts from various thought leaders in the field. It serves as an excellent overview of essential strategic thinking and is valuable for both broad understanding and deeper dives.
This second volume delves deeper into the subjects introduced in Volume 1, providing a more in-depth analysis of PLM components, concepts, and implementation strategies. It offers insights into the emergence and opportunities of PLM and details the phases of a PLM initiative. is valuable for those seeking to deepen their understanding beyond the basics.
Investigates the engineering realities of running automated ML pipelines in production, addressing data drift detection, automated retraining loops, telemetry infrastructure, and continuous validation.
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
Details an applied architectural methodology for running high-performance open-weights models on local workstations, tackling quantization fidelity, memory bandwidth limits, and prompt assembly trade-offs.
Provides a comprehensive guide to strategic planning specifically tailored for public and nonprofit sectors. It addresses the unique challenges and contexts of these organizations, offering practical frameworks and tools. It is highly relevant for individuals working in or studying public administration and nonprofit management, providing a solid understanding of strategic planning in these areas.
Details cloud-native DevOps architectures for orchestrating automated machine learning lifecycles, integrating CI/CD triggers, model registry synchronization, and automated hyperparameter sweep workers.
Offers a rigorous theoretical foundation for reasoning under uncertainty, combining graph theory and probability distributions to model complex high-dimensional dependencies across autonomous intelligent systems.
Offers a brief yet comprehensive introduction to PLM, defining its core components and comparing it to previous product management paradigms. It is suitable for those new to the topic and provides a solid overview without delving into excessive detail. The author's extensive experience across various industries lends practical relevance to the content.
An ancient Chinese military treatise, "The Art of War" offers timeless principles of strategy applicable to various fields, including business. While not directly about modern business planning, its lessons on planning, positioning, and understanding the competitive landscape are highly relevant. It provides a foundational understanding of strategic thinking that complements contemporary approaches. This is considered a classic text on strategy.
This highly visual book presents the Business Model Canvas, a tool for describing, analyzing, and designing business models. Understanding business models is fundamental to strategic planning, and this book provides a practical framework for doing so. It is widely used by entrepreneurs, strategists, and innovators.
Hamel and Prahalad introduce the concept of 'core competence' and argue that companies should focus on building and leveraging these core capabilities to shape their future and the future of their industries. provides a forward-looking perspective on strategy and innovation. It valuable read for those thinking about long-term strategic vision.
Introduces core computational linguistics concepts and practical tokenization, tagging, and syntactic parsing workflows through clear Python examples, establishing strong fundamentals for language analysis.
Synthesizes the five foundational tribes of machine learning into a unified conceptual framework, illuminating how symbolists, connectionists, evolutionaries, Bayesians, and analogizers approach intelligence.
The authors argue that there is no single best approach to strategy and provide a framework for choosing the right strategic approach based on the environment. is relevant for understanding the contingent nature of strategy in today's dynamic world. It's suitable for students and professionals dealing with complex business environments.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment.
Provides a comprehensive overview of the different schools of thought in strategic management, presenting a diverse range of perspectives on how strategies are formed. It is valuable for gaining a broad understanding of the evolution and various approaches to strategic planning. It can help readers appreciate the complexity and multifaceted nature of the field.
Treacy and Wiersema propose three distinct value disciplines that companies can pursue to achieve market leadership: operational excellence, customer intimacy, and product leadership. offers a framework for understanding different strategic positioning options. It is useful for identifying and focusing on a core competitive advantage.
Combines interactive Jupyter notebooks with rigorous mathematical explanations to teach machine learning practitioners how modern neural architectures are designed, implemented, and trained.

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