DataCamp Courses
15 expert-rated courses on DataCamp. Every course has been reviewed for quality, relevance, and practical value.
Difficulty Levels
All DataCamp Courses
AI Engineer for Data Scientists Associate Certification
Associate certification validating practical AI engineering capabilities for data scientists, including governance and production development.
Introduction to AI Agents
Understand how AI agents work, from simple chatbots to complex autonomous systems. Learn agent architectures and real-world applications.
Working with the OpenAI API
Build applications using the OpenAI API. Learn to integrate GPT models, embeddings, and function calling into Python applications.
Understanding Machine Learning
Learn machine learning fundamentals. Understand supervised, unsupervised, and reinforcement learning concepts with practical examples.
Supervised Learning with scikit-learn
Hands-on supervised learning with scikit-learn. Build classification and regression models, tune hyperparameters, and evaluate performance.
Data Manipulation with pandas
Master data manipulation with pandas. Learn to transform, aggregate, merge, and analyze data using Python's most popular data library.
Introduction to Deep Learning with PyTorch
Build deep learning models with PyTorch. Cover neural network fundamentals, training loops, CNNs, and sequence models.
Introduction to SQL for Healthcare Data
Learn SQL fundamentals applied to healthcare and clinical data management. Query databases, filter records, and generate reports.
Introduction to AI for Work
Beginner course on AI concepts and responsible workplace usage with practical collaboration patterns for productivity.
Understanding Prompt Engineering
Master the art and science of prompt engineering. Learn techniques for writing effective prompts that get better results from AI models.
AI Fundamentals Certification
Certification for validating foundational AI understanding, including ML, generative AI use cases, and ethical considerations.
AI Fundamentals Track
Track for mastering core AI principles, ChatGPT usage, machine learning basics, and LLM concepts with no coding prerequisites.
Artificial Intelligence (AI) Leadership Track
Leadership track on AI monetization, responsible AI, explainability, and security risk management for enterprise adoption.
AI Ethics
Explore the ethical implications of AI. Learn about bias, fairness, transparency, privacy, and responsible AI development practices.
Understanding Artificial Intelligence
Get a comprehensive introduction to AI. Understand the major concepts, technologies, and real-world applications of artificial intelligence.