Sample

AI & Machine Learning – Syllabus

Duration: 6 Saturdays (4pm–6pm) | Level: Beginner to Advanced | Mode: Online

Module 1: Python for Data Science & Classical ML

NumPy, pandas, matplotlib, scikit‑learn; linear/logistic regression, decision trees.

Module 2: Neural Networks & Deep Learning

Perceptron, backpropagation, TensorFlow/Keras, MLP for MNIST.

Module 3: Computer Vision – CNNs

Convolution, pooling, transfer learning with ResNet, data augmentation.

Module 4: NLP – RNNs & Transformers

Tokenization, word embeddings, LSTM, BERT fine‑tuning.

Module 5: Unsupervised Learning & Generative AI

Clustering, PCA, autoencoders, GANs basics.

Module 6: MLOps & Capstone

Deploy models with Gradio, MLflow, capstone presentations.


Starting Date: 11th July 2026
Course Fee: £2990

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