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Full Stack AI and Data Science Professional

Chapters

1Foundations of AI and Data Science

2Python for Data and AI

3Math for Machine Learning

4Data Acquisition and Wrangling

5SQL and Data Warehousing

6Exploratory Data Analysis and Visualization

7Supervised Learning

8Unsupervised Learning and Recommendation

9Deep Learning and Neural Networks

Perceptrons and MLP Activation functions Backpropagation Regularization for DL Optimization in DL Convolutional networks RNNs and LSTMs Attention mechanisms Transfer learning Data pipelines for DL Training tricks and callbacks Mixed precision and GPUs Model quantization Model distillation Autoencoders

10NLP and Large Language Models

11MLOps and Model Deployment

12Data Engineering and Cloud Pipelines

Courses/Full Stack AI and Data Science Professional/Deep Learning and Neural Networks

Deep Learning and Neural Networks

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Modern neural architectures, training strategies, and model compression.

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Perceptrons and MLP

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