This Specialization equips learners with the practical skills to design, train, and deploy deep learning applications using TensorFlow. Across three project-based courses, learners will explore neural networks, image captioning systems, and real-time face mask detection. They will gain expertise in convolutional and recurrent models, transfer learning, and app deployment with Streamlit and AWS. By the end, learners will be able to create production-ready AI solutions that integrate seamlessly into modern applications, preparing them for careers in machine learning engineering and applied AI.
What you'll learn
design deep learning applications
train and optimize neural networks
deploy AI solutions using Streamlit and AWS
understand convolutional and recurrent models
implement transfer learning
Course objectives
equip learners with practical skills in AI
prepare learners for careers in machine learning engineering
enable the creation of production-ready AI applications