IBM AI Product Manager

Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand key AI terminologies and applications, launch your AI career, or transform your existing one. This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Further, you’ll analyze the applications of AI across domains, such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases. The course will help you discover how AI, especially generative AI, is reshaping business and work environments. You’ll also explore emerging career opportunities in this rapidly evolving field and gain insights into ethical considerations and AI governance that shape responsible innovation. The course includes hands-on labs and a project, providing a hands-on opportunity to explore AI’s use cases and applications. You will also hear from expert practitioners about the capabilities, applications, and ethical considerations surrounding AI. This course is suitable for everyone, including professionals, enthusiasts, and students interested in learning the fundamentals of AI.

This course is for all enthusiasts and practitioners with a genuine interest in the rapidly developing field of generative AI, which is transforming our world. The course focuses on the core concepts and generative AI models that form the building blocks of generative AI. You will explore deep learning and large language models (LLMs). You will learn about GANs, VAEs, transformers, and diffusion models; the building blocks of generative AI. You will become familiar with the concept of foundation models. You will also learn about the capabilities of pre-trained models and platforms for AI application development and how foundation models use them to generate text, images, and code. You will explore different generative AI platforms like IBM watsonx and Hugging Face. Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through the IBM generative AI classroom and platforms like IBM watsonx. In this course, you will explore different models, such as IBM Granite, OpenAI GPT, Google flan, and Meta Llama. You will also hear from expert practitioners about the capabilities, applications, and tools of generative AI.  

As generative AI (GenAI) reshapes workplaces and job roles, using it effectively is now essential. Prompt engineering is the key to directing GenAI models and refining their output for desired results. This course is for professionals, executives, students, and AI enthusiasts ready to harness prompt engineering to unlock tools like ChatGPT. You’ll learn practical techniques, structured methods, and best practices for crafting strong prompts. Explore zero-shot and few-shot prompting to boost reliability and output quality. Discover advanced methods such as the Interview Pattern, Chain-of-Thought, and Tree-of-Thought to produce accurate, context-aware responses. Hands-on labs and projects provide experience with multimodal prompting, the playoff method, and image generation. You’ll practice blending text and visuals and evaluating AI outputs for precision and usefulness. Podcasts, dialogues, and discussions link theory to real-world scenarios, while expert insights highlight strategies for effective prompt use. A final project and graded assessments ensure you can apply these techniques with confidence, leaving you with practical, job-ready skills. Hear from practitioners about the techniques and artistry behind writing impactful prompts. Enroll today to master prompt engineering and unlock GenAI’s potential.

This course is designed for everyone—professionals, executives, students, and enthusiasts—interested in learning about generative AI and leveraging its capabilities in their work and lives. It is your first step toward understanding the power of generative AI, driven by models such as large language models (LLMs). In this course, you will learn the fundamentals and evolution of generative AI, with additional readings and expert insights offering a deeper view of its history and advancements. You will explore its capabilities across text, image, audio, video, virtual worlds, code, and data, with key takeaways and enhanced summaries at the end of each section to reinforce learning. You will understand the applications of generative AI in industries such as IT, finance, healthcare, education, entertainment, and human resources. You will also discover the features of popular tools and models, including GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs provide opportunities to practice using IBM Generative AI Classroom and tools such as ChatGPT. You will also hear from industry practitioners sharing real-world insights. Interactive activities, podcasts, and scenario-based exercises help you apply concepts, while a final practical project consolidates your skills by generating and refining outputs across multiple formats.

In today’s fast-changing global market, companies need skilled product managers to develop breakthrough products or to expand their existing offerings. By the end of this course, you will understand what a product manager does in their role and the skills you need to become one. This introductory course is a valuable investment for those looking to start a career in product management. Learn key product management concepts such as the product lifecycle, personas, value creation, and SWOT analysis. Gain an understanding of the job opportunities in product management and the industry-standard Guide to the Product Management Body of Knowledge, ProdBoK®. The hands-on labs provide opportunities to investigate product management in simulated real-world settings. You’ll hear from industry experts discussing their points of view, so you learn about their first-hand experiences. This course is the first in a series of courses, which, once completed, will earn you the IBM Product Management Professional Certificate. Anyone can take this beginner-level course, which does not require any prior Product Management skills or background.

A Product Manager’s role in an organization is to drive product strategy development and implementation. They effectively engage with stakeholders to transform how an organization does business through high-impact product solutions. This course will provide an overview of the Product Management Lifecycle. You will then learn about the Product Conceive and Plan phases in detail. You will discover tools and techniques used in product concept identification. In addition, you will acquire skills to work with SWOT analysis and the Product Concept document. The course also prepares you to establish a team and develop a project charter. Hands-on labs will help you practice working on market and solution analysis using a Market Requirement Document. You will also investigate a product business case and perform a financial analysis. Throughout this course, several product management experts will share their insights and experiences in product management. Practice quizzes and graded quizzes will test your knowledge. You will be able to apply the concepts learned in the course in a final project. This course is suitable for anyone who aspires to apply for product management jobs and understand various lifecycles used in product management, including agile. It does not require any prior degree.

Product managers play a crucial role in driving the development and success of a product, serving as a critical link between customers, stakeholders, and the development team. They are responsible for understanding market requirements, defining product objectives and features, and overseeing the entire product lifecycle from conception to its release. This course will provide you with valuable skills in fostering productive collaborations, engaging stakeholders effectively, and enhancing communication abilities. You will learn about Kotler's Five Levels of product and market segmentation. In addition, you’ll explore the product manager's role in business development, SWOT analysis, and Porter's Five Forces Model for market assessment. The course also helps you understand the concepts of innovation and ideation and equip you with crucial skills for effective communication and teamwork in the field of Product Management. Throughout this course, several product management experts will share their insights and experiences in product management. Practice quizzes and graded quizzes will test your knowledge. You will be able to apply the concepts learned in the course in a final project. This course is suitable for anyone who aspires to apply for product management jobs. It requires no prior experience or knowledge of product management.

In this course you will be introduced to the steps required to effectively develop and launch a new product. These are important phases of the product management lifecycle and generally consume majority of the product manager's time. The course highlights how resources are assigned to design, create, and test the new product. The course also walks you through best practices to ensure a smooth transition from product development to product launch and delivery. Then, once the lifecycle of the product has come to an end, you will learn about how the Product Manager oversees retirement processes for the product. Throughout this course, several product management experts will share their insights and experiences in product management. Practice quizzes and graded quizzes will test your knowledge throughout. Also, you will put what you have learned to the test in a series of practical exercises that culminates in a final project allowing you to demonstrate real-word product management expertise. This course is suitable for anyone who aspires to apply for product management jobs. It requires no prior experience or knowledge of product management.

As generative AI disrupts every business and industry, the product manager’s role is also constantly transforming. This course enables product managers to expand their skill sets and give them an edge in their careers by leveraging AI. For example, an AI product manager must understand generative AI tools and models, ethical considerations, and their practical application over and above product management skills. This course demonstrates how you can use generative AI tools, frameworks, and platforms to significantly increase or “supercharge” your overall product management effectiveness. You will learn to harness the power of Generative AI to improve your ability to ideate, design, develop, launch, and deliver products that are a customer’s delight while keeping ethical considerations in mind. Throughout this course, you will apply the concepts learned in hands-on labs and a final project. You will use Generative AI tools and models like ChatGPT, DALL-E, Gemini, CoPilot, etc. Enroll now and be part of that niche group of AI-enabled product managers!