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In this course you will study the foundational concept of neural networks and deep learning.
By the end, you will be familiar with the -
1. Significant technological trends driving the rise of deep learning
2. Build, train, and apply fully connected deep neural networks
3. Implement efficient (vectorized) neural networks
4. Identify key parameters in a neural network’s architecture
5. Apply deep learning to your own applications.
This is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.

Computer Vision

Hyperparameter, Regularization and Optimization

Structuring Machine Learning Projects

Convolutional Neural Networks

Sequence Models

Generative AI for Project Manager

Web scrapping using Python and Generative AI

Generative AI - Foundation - Part I

Generative AI - Intermediate - Part II

Generative AI - Advanced - Part III

Generative AI - Expert - Part IV

Generative AI: Hands-On Builder Program