Overview
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.
Syllabus
Course 1: Generative AI: Introduction and Applications
- This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about ... Enroll for free.
Course 2: Generative AI: Prompt Engineering Basics
- This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective ... Enroll for free.
Course 3: Product Management: Building AI-Powered Products
- Generative AI is transforming how businesses operate. According to a McKinsey survey, over 78% of organizations are implementing AI, making ... Enroll for free.
Course 4: Generative AI: Supercharge Your Product Management Career
- As generative AI disrupts every business and industry, the product manager’s role is also constantly transforming. This course enables ... Enroll for free.
- This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about ... Enroll for free.
Course 2: Generative AI: Prompt Engineering Basics
- This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective ... Enroll for free.
Course 3: Product Management: Building AI-Powered Products
- Generative AI is transforming how businesses operate. According to a McKinsey survey, over 78% of organizations are implementing AI, making ... Enroll for free.
Course 4: Generative AI: Supercharge Your Product Management Career
- As generative AI disrupts every business and industry, the product manager’s role is also constantly transforming. This course enables ... Enroll for free.
Courses
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This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT. Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts. You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses. You will be introduced to commonly used prompt engineering tools like IBM watsonx Prompt Lab, Spellbook, and Dust. The hands-on labs included in the course offer an opportunity to optimize results by creating effective prompts in the IBM Generative AI Classroom. You will also hear from practitioners about the tools and approaches used in prompt engineering and the art of writing effective prompts.
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This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives. This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs). In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will understand the applications of generative AI across different sectors and industries. You will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of generative AI.
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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!
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Generative AI is transforming how businesses operate. According to a McKinsey survey, over 78% of organizations are implementing AI, making its impact undeniable. Netflix’s AI-driven recommendations feature is one such example. With companies leaning to develop AI-powered products, the AI product manager role is becoming increasingly critical. This course covers the AI product manager’s role in managing product lifecycles with AI. You will learn about the AI process and how to balance traditional and AI skills, build the right team, and communicate with stakeholders. You will also explore common challenges and reasons for AI project failures. Next, you will learn about the AI product development stages and product management phases. You will also understand AI’s impact across industries and review real-world use cases, commercialization strategies, and future trends. Throughout this short self-paced course, you will be presented with instructional guidance through videos followed by hands-on labs to practice what you learn. You will also complete a final project to showcase your AI product manager skills. Enroll now to master AI product management!
Taught by
Antonio Cangiano, Daniel C. Yeomans, Rav Ahuja and Skill-Up EdTech Team