Artificial Intelligence
Tensorflow 2.0 Deep Learning and Artificial Intelligence
This course provides learners with the practical skills and technical knowledge needed to build modern artificial intelligence and deep learning solutions using TensorFlow 2.0.
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Included with Skilldacity Membership
About This Course
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This course provides learners with the practical skills and technical knowledge needed to build modern artificial intelligence and deep learning solutions using TensorFlow 2.0. The course covers deep learning fundamentals, model development, computer vision, natural language processing, predictive modeling, and performance optimization techniques commonly used in modern AI environments.
What You’ll Learn
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- Understand TensorFlow 2.0 Deep Learning and Artificial Intelligence fundamentals
- Build and train neural networks using TensorFlow 2.0
- Develop machine learning and deep learning models for real-world applications
- Work with structured and unstructured datasets
- Implement computer vision and image recognition solutions
- Explore natural language processing and text analytics techniques
- Understand deep learning architectures and neural network design
- Optimize model performance through tuning and evaluation strategies
- Deploy artificial intelligence models into production environments
- Apply TensorFlow 2.0 best practices for scalable AI development
- Troubleshoot and improve machine learning workflows
- Build end-to-end artificial intelligence solutions using Python and TensorFlow
Skills You’ll Gain
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Career Path
Artificial Intelligence
Provider
Vendor Reference
Level
Foundational
Certification
Certification Reference
Access
Included with eligible Skilldacity subscription
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