Prompt engineering courses can help you learn how to design effective prompts for AI models, understand the nuances of natural language processing, and optimize interactions with artificial intelligence systems. You can build skills in crafting clear instructions, refining queries for better responses, and evaluating AI outputs for relevance and accuracy.

John Wiley & Sons
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Multimodal Prompts, Prompt Patterns, ChatGPT, Context Engineering, Generative AI, AI powered creativity, Token Optimization, Responsible AI, Generative Model Architectures, OpenAI, Generative Adversarial Networks (GANs), AI Personalization, AI literacy, LLM Application, Large Language Modeling, Natural Language Processing, Software Design, Machine Learning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, LLM Application, Prompt Patterns, Tool Calling, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, AI Integrations, OpenAI API, Software Development
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Token Optimization, Memory Management, Context Management, Document Management, Embeddings, User Interface (UI), Vector Databases, Debugging
Advanced · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, Context Engineering, Multimodal Prompts, LLM Application, Responsible AI, AI Workflows, AI Security, Gemini, Generative AI, Context Management, AI Integrations, AI powered creativity, Model Evaluation, Experimentation
Advanced · Course · 1 - 3 Months

Microsoft
Skills you'll gain: CI/CD, Continuous Deployment, Continuous Delivery, DevSecOps, Continuous Integration, Site Reliability Engineering, Enterprise Architecture, IT Automation, DevOps, Test Automation, Product Automation, Automation, YAML, Software Development, Application Deployment, Business Process Automation, Multi-Cloud, Microsoft Azure, Cloud Standards, Software Configuration Management
Advanced · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Generative AI Agents, AI Personalization, Mobile Development, Software Design Documents, Software Design, Generative Model Architectures, Anthropic Claude, Mobile Development Tools, LLM Application, AI literacy, iOS Development, AI Integrations, Personalized Campaigns, Software Development, Artificial Intelligence and Machine Learning (AI/ML)
Advanced · Specialization · 3 - 6 Months
Skills you'll gain: Interactive Data Visualization, Statistics, Descriptive Statistics, Logistic Regression, Decision Tree Learning, Advanced Analytics, Probability & Statistics, Probability Distribution, Statistical Inference, Applied Machine Learning, Data-Driven Decision-Making, Supervised Learning, Workflow Management, Statistical Methods, Statistical Modeling, Data Cleansing, Data Structures, Interviewing Skills, NumPy, Professional Development
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months

École Polytechnique Fédérale de Lausanne
Skills you'll gain: X-Ray Computed Tomography, Radiography, Medical Imaging, Medical Ultrasonography, Radiology, Radiation Protection, Diagnostic Radiology, Biomedical Technology, Biomedical Engineering, Physics, Mathematical Modeling
Advanced · Course · 1 - 3 Months

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Magnetic Resonance Imaging, Radiology, Medical Imaging, Diagnostic Radiology, Biomedical Engineering, Biomedical Technology, Biochemistry, electromagnetics, Neurology, Image Analysis, Hemodynamics, Analytical Chemistry, Contraindication, Differential Equations, Applied Mathematics
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: WordPress, Content Management Systems, Web Content, Web Design and Development, Web Design, Web Presence, Web Development, Editing, Social Media, Content Management, Embeddings, Marketing, Design, Computer Science
Advanced · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Model Optimization, Electrical Engineering, electromagnetics, Image Quality, Performance Tuning, Engineering Calculations, Systems Design, System Requirements, Engineering, Scientific, and Technical Instruments, Design Software, Simulation and Simulation Software, Engineering Analysis, System Design and Implementation, Systems Analysis, Numerical Analysis, Image Analysis, Graphical Tools, Human Factors, Medical Imaging, Technical Design
Build toward a degree
Advanced · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: CI/CD, Azure DevOps, Site Reliability Engineering, Terraform, DevOps, Infrastructure as Code (IaC), Azure DevOps Pipelines, Continuous Deployment, Cloud-Native Computing, Continuous Delivery, DevSecOps, Incident Management, Continuous Integration, Kubernetes, Hardening, Cloud Infrastructure, Incident Response, Enterprise Architecture, Technical Communication, Performance Metric
Advanced · Professional Certificate · 3 - 6 Months
Top-rated Prompt Engineering courses offered by IBM on Coursera.
Earn a certificate in Prompt Engineering from top universities and companies.
Prompt engineering is the practice of designing and refining prompts to effectively communicate with AI models, particularly those that generate text. This skill is crucial as it directly influences the quality and relevance of the AI's output. In an era where AI is increasingly integrated into various industries, understanding how to craft effective prompts can enhance productivity, creativity, and problem-solving capabilities. By mastering prompt engineering, individuals can leverage AI tools more effectively, making this skill essential for anyone looking to stay competitive in the job market.
Careers in prompt engineering are emerging as AI technologies continue to evolve. Potential job titles include AI Prompt Engineer, Machine Learning Specialist, Data Scientist, and AI Product Manager. These roles often involve collaborating with AI systems to optimize their performance and ensure they meet user needs. Additionally, industries such as education, law, and technology are increasingly seeking professionals skilled in prompt engineering to enhance their AI applications, making this a promising field for job seekers.
To excel in prompt engineering, you should develop a mix of technical and creative skills. Key areas include understanding AI and machine learning fundamentals, familiarity with programming languages like Python, and knowledge of natural language processing (NLP). Additionally, honing your ability to think critically and creatively will help you craft effective prompts. Communication skills are also vital, as you will need to articulate your ideas clearly to both technical and non-technical stakeholders.
There are several online courses available that can help you learn prompt engineering. Notable options include the Prompt Engineering Specialization and the Essentials of Prompt Engineering. These courses provide foundational knowledge and practical skills to help you effectively engage with AI technologies. Additionally, specialized courses like AI Foundations: Prompt Engineering with ChatGPT offer targeted insights into using specific AI tools.
Yes. You can start learning prompt engineering on Coursera for free in two ways:
If you want to keep learning, earn a certificate in prompt engineering, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
To learn prompt engineering, start by exploring foundational courses that introduce you to the principles of AI and prompt design. Engage with practical exercises to apply what you learn, and consider joining online communities or forums where you can share insights and ask questions. As you progress, seek out advanced courses that focus on specific applications of prompt engineering, such as Advanced Prompt Engineering for Everyone. This structured approach will help you build confidence and competence in the field.
Typical topics covered in prompt engineering courses include the basics of AI and machine learning, techniques for crafting effective prompts, and the evaluation of AI responses. You may also explore advanced concepts such as prompt optimization, ethical considerations in AI usage, and the integration of AI tools in various industries. These topics provide a comprehensive understanding of how to work with AI systems effectively.
For training and upskilling employees in prompt engineering, courses like the Prompt Engineering for Educators Specialization and NVIDIA: Prompt Engineering and Data Analysis are excellent choices. These programs are designed to equip professionals with the skills needed to leverage AI in their specific fields, fostering a more innovative and efficient workforce.