AI Model Development & Deployment

Coursera Certificate USD 49
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AI Model Development & Deployment

About this course

This Specialization equips you with the skills to design, build, and deploy production-ready machine learning systems from end to end. You'll learn to architect custom neural networks, optimize deep learning models, engineer robust data pipelines, and implement MLOps best practices including CI/CD, automated testing, documentation, and cloud deployment. Through hands-on projects using PyTorch, TensorFlow, FastAPI, and cloud platforms like AWS SageMaker, you'll gain practical experience building scalable AI systems that meet real-world performance, reliability, and governance requirements.

What you'll learn

  • design custom neural networks
  • optimize deep learning models
  • engineer robust data pipelines
  • implement MLOps best practices
  • deploy machine learning systems on cloud platforms

Skills you'll gain

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