Prompt Engineering Jobs: Your 2025 Career Guide
January 14, 2025
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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.
Instructors: Daniel C. Yeomans
21,139 already enrolled
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(657 reviews)
Recommended experience
Beginner level
No prior product management or generative AI knowledge is required.
(657 reviews)
Recommended experience
Beginner level
No prior product management or generative AI knowledge is required.
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
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Prepare for a career in the high-growth field of technology. In this program, you’ll learn in-demand skills like product management, prompt engineering, and artificial intelligence to get job-ready in 3 months or less, with no prior experience required.
AI Product Managers are responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications.
This program will teach you the fundamental principles of product management from understanding roles and responsibilities to navigating the entire lifecycle and associated artifacts from product idea to launch. This program will not only help you start your career in product management, but also provides a strong foundation for future career development in other paths such as healthcare, finance, logistics, e-commerce, and cybersecurity.
You’ll also learn generative AI concepts such as prompt engineering and foundation models. With real-world experience, including a series of hands-on projects, this Professional Certificate empowers you to build compelling products leveraging generative AI.
When you complete this program, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise.
Applied Learning Project
This Professional Certificate 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:
Build an initial product concept, vision, and project charter
Create a checklist to effectively develop, qualify, launch, deliver, and retire a product
Create a product backlog using the sprint planning process
Create burndown charts to forecast the ability to meet a sprint goal
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
Finally, you will combine the Product Management and AI concepts to build a product using generative AI.
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.
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
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
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
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
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.
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
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
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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.
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Anyone interested in launching a career in Product Management as a Product Manager or an AI Product Manager. No prior experience is necessary.
No prior experience is necessary to get started. This Professional Certificate is open for anyone with any job and academic background.
An AI Product Manager is someone who can help manage the lifecycle for AI-powered products or product features while considering the ethical and technical feasibility and implications of using AI.
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.
At this time, college credit is not available for taking this program.
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.
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 Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Data for job roles relevant to featured programs (2/1/2024 - 2/1/2025)
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