IBM AI Product Manager Professional Certificate

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

Explain the fundamental concepts and applications of AI in various domains.

Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.

Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.

Design a generative AI solution for an organizational challenge, integrating ethical considerations.

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, relevance, and best practices of prompt engineering to guide generative AI models in producing meaningful, accurate outputs.

Apply prompt engineering techniques to text prompts, improving the reliability and quality of large language models.

Practice prompt engineering techniques and approaches, including interview pattern, chain-of-thought, tree-of-thought, to improve prompt outcomes.

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