AI Deep Learning Projects with TensorFlow
About this course
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.
67/100
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- What the provider tells you
- 31/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
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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
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