Prompt Engineering Courses
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.
Popular Prompt Engineering Courses and Certifications
Skills you'll gain: Root Cause Analysis, Data Security, Problem Management, Systems Analysis, Site Reliability Engineering, Capacity Management, Resource Management, Identity and Access Management, Role-Based Access Control (RBAC), Compliance Auditing
Status: Trending in AISkills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI, AI Security, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Responsible AI, Software Development
Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, AI Personalization, Mobile Development, Software Design, Anthropic Claude, LLM Application, Software Architecture, Apple iOS, AI Product Strategy, Machine Learning Methods, Continuous Integration, Software Design Patterns, Software Development, Application Design, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML)
Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming
What brings you to Coursera today?
Coursera
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Vision Transformer (ViT), Model Evaluation, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Applied Machine Learning, Dataflow, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines, Computer Vision
Status: Hands-On ProjectsSkills you'll gain: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Statistics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Context Management, User Interface (UI), Vector Databases, Debugging
In summary, here are 10 of our most popular prompt engineering courses
- SQL Infrastructure: Secure and Optimize:Â Coursera
- IBM RAG and Agentic AI:Â IBM
- Generative AI for Mobile App Developers:Â IBM
- Data Modeling and Lakehouse Architecture with SQL:Â Coursera
- SQL Data Quality, Security, and Governance:Â Coursera
- AI Engineer Professional:Â Packt
- Cloud SQL Infrastructure, Security, and Reliability:Â Coursera
- Deep Learning Engineering:Â Coursera
- SQL Performance, Testing, and Data Integrity:Â Coursera
- Level Up: Advanced SQL for Data Engineering:Â Coursera
