Mastering Prompt Engineering with IBM
Learn prompt engineering techniques and best practices for generative AI tools like ChatGPT in this comprehensive course from IBM.
Learn prompt engineering techniques and best practices for generative AI tools like ChatGPT in this comprehensive course from IBM.
This course provides a thorough introduction to prompt engineering for generative AI models. Students will learn essential techniques and best practices for crafting effective prompts, including zero-shot and few-shot approaches. The curriculum covers advanced methods like Interview Pattern, Chain-of-Thought, and Tree-of-Thought approaches, along with practical exploration of tools such as IBM watsonx Prompt Lab. Through hands-on labs in the IBM Generative AI Classroom, learners will gain practical experience in optimizing prompts for various applications. The course features insights from industry practitioners and is designed for both professionals and enthusiasts seeking to maximize the potential of AI tools like ChatGPT.
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What you'll learn
Understand the fundamentals and importance of prompt engineering in generative AI
Master techniques for creating effective prompts including zero-shot and few-shot approaches
Apply advanced prompt engineering patterns like Interview, Chain-of-Thought, and Tree-of-Thought
Gain hands-on experience with popular prompt engineering tools
Explore text-to-text and text-to-image prompt techniques
Develop skills in optimizing prompts for specific AI applications
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 4 modules in this course
This comprehensive course delves into prompt engineering for generative AI models, covering essential concepts and practical applications. Students learn various techniques including zero-shot and few-shot learning, along with advanced approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought. The curriculum includes hands-on experience with tools like IBM watsonx Prompt Lab and practical labs in the IBM Generative AI Classroom. The course emphasizes best practices for creating effective prompts and includes expert insights from industry practitioners. Designed for both beginners and professionals, it provides a thorough foundation in prompt engineering while exploring its practical applications in various AI tools.
Prompt Engineering for Generative AI
Module 1
Prompt Engineering: Techniques and Approaches
Module 2
Course Quiz, Project, and Wrap-up
Module 3
Text-to-Image Prompts and IBM watsonx
Module 4
Fee Structure
Instructors
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Engineering Manager and AI Specialist
Antonio Cangiano is an Engineering Manager and AI Specialist at IBM, as well as a published author and blogger. He is passionate about programming, AI, online marketing, and entrepreneurship.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.