AI Engineer Professional Certificate Course



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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