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By the end, you will be able to -
1. Build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs
2. Apply RNNs to Character-level Language Modeling
3. Gain experience with natural language processing and Word Embeddings
4. Use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering
Machine Learning Foundation
Computer Vision
Hyperparameter, Regularization and Optimization
Structuring Machine Learning Projects
Convolutional Neural Networks
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