PyHuman Tutorials
Learn to build human-centric AI systems through hands-on tutorials, examples, and guided projects.
Choose Your Learning Path
Beginner Path
4-6 hours•Beginner
Start your journey with human-centric AI fundamentals
- Installation & Setup
- Your First Interpretable Model
- Understanding Model Explanations
- Basic Bias Detection
Intermediate Path
8-12 hours•Intermediate
Build more complex human-in-the-loop systems
- Advanced Explainability Techniques
- Human Feedback Integration
- Multi-modal Interpretability
- Fairness Metrics & Evaluation
Advanced Path
15-20 hours•Advanced
Master cutting-edge research and deployment
- Custom Explanation Methods
- Large-Scale Human Studies
- Production Deployment
- Research & Publications
Featured Tutorials
Computer Vision
4.9
Build an Interpretable Image Classifier
Learn to create transparent computer vision models that explain their decisions to users.
45 min
BeginnerCNNLIMEGrad-CAM
Natural Language
4.8
Human-in-the-Loop Text Classification
Build NLP models that learn from human feedback and improve over time.
60 min
IntermediateNLPActive LearningBERT
Ethics & Fairness
4.7
Detecting and Mitigating AI Bias
Identify unfair biases in your models and implement fairness-aware training.
90 min
IntermediateFairnessBiasEthics
Healthcare
4.9
Healthcare AI with Interpretability
Build trustworthy medical AI systems that doctors can understand and validate.
120 min
AdvancedHealthcareTabularSHAP
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Join thousands of developers building more human-centric AI systems with PyHuman.