Mastering Generative AI and ChatGPT

• Overview of Generative Al
• Historical Context and Evolution
• Basic machine learning: supervised, unsupervised, and reinforcement learning
• Introduction to Deep Learning and Neural Networks

Supervised learning

• Naive Bayes Classifier
• K Nearest Neighbor Classifier
• Decision Tree Classifier
• Support Vector Machine (SVM Classifier)
• Logistic Regression Classifier
• Linear Regression
• Lasso & Ridge Regression

Unsupervised Learning

• K Means Clustering
• Agglomerative Clustering
• FP growth method

Reinforcement Learning

• Overview of Reinforcement Learning

Machine Learning Projects

• Projects of Machine Learning

Deep learning

• Basics of Neuron
• Neural Networks
• Types of Neural Networks
• Types of Architecture in Deep Neural Networks
• Practical coding implementation using neural networks
• Creating different types of architecture

• Introduction to Generative Al
• Self Attention models
• single head self attention model
• multi-head self attention model

Transformers

• Transformers
• Positional Encoding