Generative AI: Prompt Engineering Basics
Master prompt engineering for AI models like ChatGPT. Learn techniques and best practices to create effective prompts for generative AI applications.
Master prompt engineering for AI models like ChatGPT. Learn techniques and best practices to create effective prompts for generative AI applications.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Generative AI Fundamentals program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(1,015 ratings)
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Instructors:
English
বাংলা, اردو, Қазақша, 2 more
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What you'll learn
Explain prompt engineering concepts and their relevance in generative AI
Apply best practices for creating effective prompts
Master common prompt engineering techniques and approaches
Use professional prompt engineering tools effectively
Optimize AI model outputs through strategic prompt design
Skills you'll gain
This course includes:
1 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This comprehensive course introduces the fundamentals of prompt engineering for generative AI. Students learn essential techniques for crafting effective prompts, including zero-shot and few-shot approaches, as well as advanced patterns like Interview Pattern, Chain-of-Thought, and Tree-of-Thought. The curriculum covers practical applications using tools like IBM watsonx Prompt Lab, with hands-on labs providing real-world experience in optimizing AI model outputs.
Prompt Engineering for Generative AI
Module 1 · 2 Hours to complete
Prompt Engineering: Techniques and Approaches
Module 2 · 2 Hours to complete
Course Quiz, Project, and Wrap-up
Module 3 · 2 Hours to complete
Fee Structure
Instructors
Antonio Cangiano: Engineering Manager and AI Specialist with a Passion for Programming and Entrepreneurship
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.
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
Testimonials
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4.8 course rating
1,015 ratings
Frequently asked questions
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