COU Coursera

AI Model Development & Deployment

349 students enrolled
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.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATION1 ay

What you'll learn

  • Network Architecture
  • Artificial Neural Networks
  • Deep Learning
  • Network Planning And Design
  • Model Training
  • Performance Testing
  • Model Optimization
  • Fine-tuning
  • Model Evaluation
  • Performance Analysis
  • Performance Improvement
  • Performance Tuning

Course Content

12 topics
  1. Kurs 1 Design and Build Custom Neural Networks
  2. Kurs 2 Optimize Deep Learning Models for Peak AI
  3. Kurs 3 Engineer, Validate, and Govern ML Data
  4. Kurs 4 Deconstruct AI: Complex ML Problems
  5. Kurs 5 Build Testable Python Packages for AI
  6. Kurs 6 Develop Production-Ready ML APIs with MLOps
  7. Kurs 7 Document AI: Project & API Writing
  8. Kurs 8 Automate and Evaluate ML Pipeline Tests
  9. Kurs 9 Deploy and Optimize Cloud AI Architectures
  10. Kurs 10 Design Scalable AI Systems and Components
  11. Kurs 11 Integrate and Optimize AI Services Seamlessly
  12. Kurs 12 Build & Optimize TensorFlow ML Workflows

Details

  • ProviderCoursera
  • TypeCourse
  • CategorySoftware & Programming
  • LevelIntermediate
  • Duration1 ay
  • LanguageEnglish

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Melis Gülsar
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Nazif Bayram
$49
CampusOnline Assistant
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