Learn the AI skill employers are paying more for. Master prompt engineering in about 9 hours, with no coding required. AI skills now carry a measurable pay advantage. Workers with AI skills earn an average wage premium of 62%, according to PwC's 2026 Global AI Jobs Barometer, an analysis of more than one billion job ads across 27 countries.¹ And the people who get the best results from generative AI aren't necessarily technical. They're the ones who know how to direct it. This IBM course teaches you prompt engineering: the practical skill of getting accurate, reliable, useful output from tools like ChatGPT. You'll learn how to write prompts that save time on real work, from drafting and research to analysis and planning, and how to evaluate AI output so you know when to trust it and when to push back. Built for professionals, executives, students, and AI enthusiasts, it requires no programming background. You'll go beyond basic instructions to the techniques professionals use: zero-shot and few-shot prompting for dependable results, the Interview Pattern for pulling better answers out of AI, and Chain-of-Thought and Tree-of-Thought methods for solving complex, multi-step problems. You'll also practice multimodal prompting, blending text and images, and writing effective prompts for image generation. This is hands-on from the start. Across three modules, you'll work through labs that put each technique into practice, then finish with a final project applying prompt engineering best practices to a real-world challenge. You'll come away with skills you can use at work the next day, and a project you can talk about in interviews and performance reviews. Skills you'll gain include: - Writing clear, structured prompts that produce reliable results - Applying zero-shot, few-shot, Chain-of-Thought, and Tree-of-Thought techniques - Using the Interview Pattern and Playoff Method to refine AI output - Evaluating AI responses for accuracy and usefulness - Creating effective prompts for text, multimodal, and image generation tools Join 680,000+ learners (4.7 stars from 8,000+ reviews, and 97% of learners liked this course). Finish with a shareable certificate you can add to your LinkedIn profile, resume, or CV. ¹ PwC 2026 Global AI Jobs Barometer, June 2026. Premium is an average across AI-skilled roles and varies by industry and seniority.
This course was an eye-opening introduction into the power of prompt engineering and how strategic inputs can drive more accurate, creative, and relevant responses from generative AI models.
Excellent course that brings clarity to the new world of Artificial Intelligence. I needed to understand why AI was so important and now I know! Thanks IBM and Coursera.
Me gusto mucho, es muy entretenido y me resulto de gran ayuda todos estos consejos que claramente pondre en practica. GRACIAS COURSERA Y SENATEC :)
The course was so useful and informative. You can learn a lot about how to use the right prompts when using AI in order to get the ideal outcome.
EXcellent! So well organized and clear, the possibility to practice really makes you feel you are learning and automatically triggers new ideas on which to apply the learned lessons.
All techniques and tools were explained in a very clear manner. Labs are built for ease of use and are good hands-on experience to get the graps of the concepts and their benefits
Excellent course. I really enjoyed the practical exercises - hands on that allowed me to work with the tool and explore its functionality in a guided way.
Insightful! Glad I pick this up to learn all the science and art around prompt engineering. The hands-on exercise and tips given were very helpful.
This is an excellent course for beginners. It clearly aligns the mind to think and write in a particular way that helps in getting better results from the AI tools.
Provide basics of Generative AI Prompt Engineering through instruction, guided online activities, practice quizzes and reinforced by appearances of Industry Practitioners. Excellent Class!
Excellently curated course with very practical examples and lab work time which was so enriching. Thank you, team IBM, for training me on effective prompt engineering!
The AI course offers a brief overview of key concepts. Some videos feel rushed, focusing more on tool names than substantive learning. It's a decent starting point but lacks depth on specific tools.
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EXcellent! So well organized and clear, the possibility to practice really makes you feel you are learning and automatically triggers new ideas on which to apply the learned lessons.
All techniques and tools were explained in a very clear manner. Labs are built for ease of use and are good hands-on experience to get the graps of the concepts and their benefits
The hands on labs are very engaging and broadens the simplified theory for anyone interesting in prompt engineering. This will help me a lot in my IT security field.
Excellent course. I really enjoyed the practical exercises - hands on that allowed me to work with the tool and explore its functionality in a guided way.
Excellent Course. Thoroughly explains all of the basics and terms of prompt engineering. Breaks everything down so that learners can comprehend the material. Would reccomend to anyone!
Videos are too short and superficial so you end up memorizing sentence by sentence to pass quizzes. Not a learning experience.
Excellent course that brings clarity to the new world of Artificial Intelligence. I needed to understand why AI was so important and now I know! Thanks IBM and Coursera.
Videos are just quickly reading slides, quizzes give unhelpful feedback for incorrect answers and just say "watch the video again".
Signed up for Applied AI and suddenly IBM and Coursera decided to update the program to AI Developer program. Thumbs down, I only committed my time for 7 courses, but now you added 3 more courses and I can't continue anymore. Wasted my time big time!
Dear Teachers of a great Course - Generative AI: Prompt Engineering Basics IBM, Thank You very much for all your hard work and help and the opportunity to participate in this training Course. Thank You again for your hard work, time and willingness to help those who are interested.
Great for a beginner to get their head around the value of good prompts with multiple A.I. platforms
no aprendi un culo
Todavia no he puesto estos conocimientos adquiridos a la practica, puesto que justo lo acabo de terminar, sin embargo, su explicacion y como abordan los temas y puntos esta muy bien organizada y sencilla de entender. Estoy seguro que lo que aprendí aquí me servirá para un futuro.
Amazing and super instructive, it definitely worth every single second spend on it!! Thank to the team for this
Cant get certificate
Este curso es una excelente introducción práctica y accesible al mundo de la ingeniería de indicaciones (prompt engineering), especialmente diseñado para quienes recién se adentran en el uso de modelos de lenguaje generativos (LLM). Lo más valioso del curso es que no se enfoca solo en la teoría, sino que enseña cómo pensar al interactuar con la IA: cómo formular preguntas, estructurar instrucciones, y elegir el enfoque adecuado (como Chain-of-Thought, Tree-of-Thought o patrones de entrevista) según el tipo de problema. Los ejemplos son claros, los ejercicios bien diseñados y los conceptos se explican de forma sencilla, sin requerir conocimientos previos de programación. Además, aborda temas muy relevantes en la actualidad, como la mitigación de sesgos, la accesibilidad y el uso ético de los prompts, lo que demuestra una visión integral más allá de la mera técnica. Una posible área de mejora sería incluir más ejercicios prácticos interactivos con herramientas reales (como el Playground de OpenAI o IBM watsonx), pero en general, el curso cumple perfectamente su objetivo: empoderar a los usuarios para comunicarse de manera efectiva con la IA generativa. En resumen: ideal para estudiantes, profesionales de cualquier área o curiosos tecnológicos que quieran dejar de “probar suerte” con los asistentes de IA y empezar a guiarlos con intención, claridad y estrategia. RECOMENDADO 5/5
Buenas tardes. Fue una excelente experiencia ya que ahora conozco los usos importantes que se le pueden dar a la inteligencia artificial, aprendí sobre las grandes ventajas y capacidades que podemos aprovechar u obtener de los modelos de IA Generativa, utilizando Ingeniería de instrucciones o (Prompt engineering), ya que nos ayudan a estructurar un texto aplicando sus técnicas para que el modelo IA Generativa puede interpretar la informacion y comprender la instrucción y de esta manera generar textos, imágenes con un resultado optimo, ajustado las necesidades especificas del usuario. Por otro lado, quiero darle gracias a todos los colaboradores y al equipo de Coursera en general por su gran aporte y gran trabajo. Y por ultimo, conocí esta plataforma gracias a la recomendación de un profesor de un Diplomado que realice en Análisis de Datos con Python, hace casi dos meses, agradezco mucho a este profesor ya porque me ha parecido genial, es muy amigable, intuitiva e interactiva lo cual me ha animado , e impulsado muchísimo a seguir creciendo profesionalmente; esto también se debe a la calidez, profesionalismo, respeto y sencillez, que he conocido en la comunidad de Coursera en general. ¡Infinitas gracias!
Una experiencia transformadora y muy bien estructurada. Este curso superó mis expectativas. En pocos días, logré comprender a profundidad los conceptos clave de la ingeniería de instrucciones para IA generativa. Todo está presentado de forma clara, con ejemplos útiles y ejercicios prácticos que realmente ayudan a afianzar el conocimiento. Me gustó mucho cómo se abordaron temas como el bucle de retroalimentación, el enfoque del árbol del pensamiento y el perfeccionamiento de prompts. Además, completar este curso con una calificación perfecta me deja muy motivado a seguir aprendiendo. Lo recomiendo completamente a quienes deseen mejorar sus habilidades en IA generativa y aplicar estas técnicas en proyectos reales. Gracias IBM y Coursera por tan excelente formación. ¡Nos vemos en el siguiente reto!
The AI course offers a brief overview of key concepts. Some videos feel rushed, focusing more on tool names than substantive learning. It's a decent starting point but lacks depth on specific tools.