Topics

• Probability & Stats
• Variables & Linear Algebra (Tensors)
• Python, TensorFlow (Tensor operations)
• Data Munging (Tabular Data)

Topics

• The ML Process - How to solve a problem using data and algorithms?
• What are the problems solvable by ML/AI? What cannot be solved?
• Data Types and State of the Art Models
• Tabular Data - Gradient Boosted Models
• Image Data - Convolutional Neural Networks
• Sequential and Time Series Data - Recurrent Neural Networks
• Text Data - Transformers
• Cool Applications - Generative Models, GANs
• Robotics and other niche areas - Reinforcement Learning
• Decision Tree and Gradient Boosted Models - State of the Art for Tabular Datasets
• The first neural network - A very shallow sigmoidal NN (or Logistic Regression) The Mathematics of ML and AI - Empirical Risk Minimization, Gradient Descent and Back Propagation
• A Deep Neural Network: Neurons, Layers, Activation Function, Loss Function, Weights and Biases, Minibatch, Training Algorithms (Momentum, AdaGrad, ADAM), Weight Initialization
• Keras: Finding data, building a model, training a model, model evaluation Deep Dive into model selection, evaluation and fine-tuning

Topics

• Essential Tasks in Computer Vision
• Convolutional Operation - kernels, padding, feature maps
• Pooling Operation
• CNN for Image Classification
• Transfer Learning
• Residual Connection, Batch Normalization for training deeper networks Depthwise Separable Convolution and Xception
• Object Localization and Detection Algorithms - YOLO Image Segmentation - UNet and DeepLab

Topics

• Code Version control, Data version control, ML model version control
• Devops methodology
• Cloud Computing Solutions at Scale
• Cloud Data engineering

Topics

• InIntroduction to MLOps
• MLOps for containers
• Continuous Integration, Continuous Deployment for ML models, CI/CD Integration with Jenkins and Docker.
• Monitoring, Continuous Training and Feedback

Topics

• Essential Tasks in NLP
• Data Preprocessing for Language Models
• Text Vectorization Layer
• Standardization, Vocabulary Indexing
• Embedding Word Vectors
• TF-IDF
• Bag of Words Model and Sequential Models
• Attention Mechanism
• Transformer Encoder and Decoder for Neural Machine Translation
• BERT Models
• Decoder only GPT type models
• LLMOps
• Prompt Engineering