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Elevate your Product Manager career with Gen AI. Build in-demand hands-on generative AI skills to boost your Product Manager career in under 2 months. No experience needed to get started
Instructors: Daniel C. Yeomans
4,195 already enrolled
Included with
(139 reviews)
Recommended experience
Intermediate level
Prior product management experience is helpful.
(139 reviews)
Recommended experience
Intermediate level
Prior product management experience is helpful.
Apply your skills to identify real-world generative AI uses and popular generative AI models and tools for text, code, image, audio, and video
Apply best practices for creating prompts and explore examples of impactful prompts
Employ generative AI tools and techniques for product management tasks, such as creating product concepts, roadmaps, and marketing collaterals
Demonstrate the skills, tools and techniques required to boost your product manager career using generative AI
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Be it task automation or user experience personalization, generative AI is revolutionizing how we design and develop products. This specialization will help Product Managers, new and experienced, to become well-versed with generative AI and gain insights on how to leverage this technology to their advantage.
The specialization begins with how to distinguish generative AI from discriminative AI. You’ll delve into real-world generative AI use cases and explore popular generative AI models and tools for text, code, image, audio, and video generation.
Next, you will master generative AI prompts engineering concepts for real-world business uses. Learn about prompt techniques like zero-shot and few-shot, various prompt engineering approaches, and tools including IBM Watsonx and Spellbook. Explore specific generative AI techniques and processes that product managers can use to deliver better products in shorter timeframes. Gain hands-on experience through labs and a final project with generative platforms, tools, and generative AI techniques. You will also apply product management techniques.
Learn how you can harness the power of generative AI to improve your ability to launch and deliver products that delight. You will also review successful AI product development case studies. You’ll also explore ethical concerns, necessary for gaining confidence from leadership for your work. Enroll now and gain skills that show you’re ready to harness the power of generative AI.
Applied Learning Project
This Specialization has a strong emphasis on applied learning and includes a series of hands-on activities. In these exercises, you’ll take the theory and skills you’ve gained and apply them to real-world scenarios.
You will also work on AI projects to:
Generate text, Images, and code using Generative AI
Apply prompt engineering techniques and best practices
Use generative AI models to create a prediction model for used car sale price
You will also combine the Product Management and AI concepts to build a product using generative AI.
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.
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.
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.
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
At IBM, we know how rapidly tech evolves and recognize the crucial need for businesses and professionals to build job-ready, hands-on skills quickly. As a market-leading tech innovator, we’re committed to helping you thrive in this dynamic landscape. Through IBM Skills Network, our expertly designed training programs in AI, software development, cybersecurity, data science, business management, and more, provide the essential skills you need to secure your first job, advance your career, or drive business success. Whether you’re upskilling yourself or your team, our courses, Specializations, and Professional Certificates build the technical expertise that ensures you, and your organization, excel in a competitive world.
In a world marked by relentless evolution, versatility, adaptability, and interdisciplinary skills are key to thriving professionally. At SkillUp, we focus on designing outcome-driven skill-development programs that transform lives and careers worldwide. Whether it’s landing your first job, advancing in your career, mastering efficiency in your role, or making breakthroughs in diverse careers, our courses equip you with the skills and confidence to set you up to hit the ground running. Combining sound instructional design, engaging multimedia, and real-world problem-solving, we create learning journeys that build knowledge step by step. We present learners with open-ended, real-world problems that help them apply acquired knowledge as they progress through their learning journey. This also allows learners to develop critical thinking, problem-solving, and collaborative skills. Our courses, specializations, professional certificates, and virtual and blended learning programs help learners and organizations upskill on the world’s latest technologies, functional domains, and human skills.
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Product managers who are ready to add generative AI skills to their skillset and learners interested in leveraging generative AI, large language models (LLMs) and prompt engineering for product management, and introducing AI features in the products. This program is suitable for both existing and aspiring product managers.
This Specialization is open for anyone with any job and academic background.
An AI Product Manager is someone who can helpmanage the lifecycle for AI-powered products or productfeatures while considering the ethical and technical feasibilityand implications of using AI.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Yes, it is highly recommended to take the courses in the order they are listed, as they progressively build on concepts taught in previous courses.
12 weeks if you complete one module per week.
At this time, college credit is not available for taking this program.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
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