Prompt engineering courses focus on creating effective inputs for AI models, particularly in natural language processing. You can learn about techniques for crafting prompts, understanding model behavior, and optimizing responses to achieve desired outcomes. Topics may include prompt design, evaluation metrics, and the use of various AI tools to refine your approach.

Coursera
Skills you'll gain: Responsible AI, AI literacy, Prompt Engineering, Root Cause Analysis, Decision Making, Critical Thinking, Analysis, Generative AI, Trustworthiness, Problem Solving, Business Analysis, Auditing, Stakeholder Communications, Verification And Validation, Accountability, Report Writing
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Warehousing, MongoDB, IBM Cognos Analytics, Extract, Transform, Load, NoSQL, Apache Spark, IBM DB2, Big Data, Dashboard Creation, Data Store, Dashboard, Business Intelligence, Data Pipelines, Analytics, Databases, Data Architecture, Apache Airflow, Relational Databases, SQL, Python Programming
★ 4.7 (144) · Advanced · Course · 1 - 3 Months

L&T EduTech
Skills you'll gain: Building Codes, Construction, Laboratory Testing, Laboratory Experience, Engineering Analysis, Analytical Testing, Engineering Calculations, Simulation and Simulation Software
★ 4.7 (21) · Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Embedded Software, AWS Identity and Access Management (IAM), Amazon Web Services, AWS CloudFormation, Amazon S3, Embedded Systems, System Testing, Verification And Validation, Security Engineering, Memory Management, Security Controls, Debugging, Data Storage, Workflow Management, Software Architecture
Advanced · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Service Level, Databases, Database Development, Database Management, Acceptance Testing, Software Engineering, Web Applications, Performance Testing, Scalability, Software Systems, Microservices, Software Architecture, Distributed Computing, System Monitoring, Functional Requirement, Application Deployment, Application Development, Performance Stress Testing, Predictive Modeling, Big Data
★ 3.5 (109) · Advanced · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Model Optimization, Electrical Engineering, electromagnetics, Engineering Calculations, Systems Design, Design Software, Engineering Analysis, Applied Mathematics, Graphical Tools
★ 4.3 (384) · Advanced · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Control Systems, Mechanics, Torque (Physics), Simulation and Simulation Software, Numerical Analysis, Simulations, Engineering Analysis, Mathematical Modeling, Algorithms, Communication Systems, Physics, Calculus
★ 4.8 (446) · Advanced · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Web Frameworks, Rust (Programming Language), DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data
★ 4.1 (236) · Advanced · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Model Training, Feature Engineering, Model Evaluation, Model Optimization, Databricks, MLOps (Machine Learning Operations), Deep Learning, PyTorch (Machine Learning Library), Model Deployment, Redis, Embeddings, Data Science, Data Pipelines, Real Time Data, Data Analysis, Computer Science, Software Development
Advanced · Course · 1 - 3 Months
Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Machine Learning Methods, Random Forest Algorithm, Model Optimization, Model Evaluation, Python Programming, Performance Tuning
★ 4.8 (652) · Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, MLOps (Machine Learning Operations), Natural Language Processing, Embeddings, Model Evaluation, Recurrent Neural Networks (RNNs), Computer Vision, Reinforcement Learning, Convolutional Neural Networks, Large Language Modeling, Model Optimization, Model Training, Data Preprocessing, Cloud Deployment, Applied Machine Learning, Feature Engineering, Machine Learning, Machine Learning Algorithms
★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Deep Learning, Cloud Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Model Training, AI Workflows, Scalability, Hugging Face, Performance Tuning, Artificial Neural Networks, Development Environment, Computer Vision
Advanced · Course · 1 - 3 Months
Start with your goal in prompt engineering. If you want to generate creative content using AI, choose courses that focus on creative writing prompts and narrative generation techniques. For integrating prompt engineering with machine learning models, check for courses covering frameworks like OpenAI's GPT and tools for fine-tuning prompts.