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Intermediate6 weeks
AI: Beginner to Advanced
Deep dive into AI/ML from fundamentals to advanced techniques
10 chapters
1 free chapters
4.9 rating
Course Curriculum
🆓 Free Chapters
🔒 Full Course (9 chapters)
02
Deep Learning Architectures
CNNs, RNNs, and beyond
45 min
03
Optimization Techniques
Training AI efficiently
35 min
04
Regularization Methods
Preventing overfitting
30 min
05
Transfer Learning
Leveraging pre-trained models
40 min
06
Model Evaluation
Metrics and validation
35 min
07
Hyperparameter Tuning
Finding optimal settings
40 min
08
Distributed Training
Training at scale
45 min
09
Model Compression
Making AI efficient
35 min
10
Advanced Inference
Optimizing predictions
40 min
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What You'll Learn
Advanced Neural Networks
Deep Learning Architectures
Optimization Techniques
Regularization Methods
Transfer Learning
Model Evaluation
Hyperparameter Tuning
Distributed Training
+ 2 more chapters
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