Master Deep Learning, Transformers, MLOps & AI Agent Development with Real-World Projects
What you will learn
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Tune and optimize machine learning models using advanced techniques
Build and train CNNs for image classification and computer vision tasks
Develop RNNs, LSTMs, and GRUs for time series and sequence modeling
Understand and implement transformers and attention mechanisms
Apply transfer learning to fine-tune powerful pre-trained models
Design and analyze AI agents for autonomous decision-making
Use TensorFlow and PyTorch for deep learning projects
Deploy models using MLOps tools like Docker, MLflow, and CI/CD pipelines
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