AI Model Development & Deployment

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

• Design custom neural network architectures and optimize deep learning models for deployment
• Build validated ML data pipelines and production-ready Python packages using MLOps practices
• Deploy and monitor AI systems on cloud platforms ensuring reliability and performance

• Basic familiarity with AI concepts and terminology
• Willingness to engage in applied exercises and projects