AI Engineer Course

Module 1: Supervised Learning – Regression

• Linear, Polynomial Regression
• Regularization (Ridge, Lasso)
• Evaluation: RMSE, MAE, R²

Module 2: Supervised Learning – Classification

• Logistic Regression, Decision Trees, Random Forest, kNN, SVM
• Model Evaluation: Confusion Matrix, Precision, Recall, F1-Score, ROC-AUC

Module 3: Unsupervised Learning

• Clustering (K-Means, Hierarchical, DBSCAN), PCA, t-SNE
• Anomaly Detection and Association Rules

Mini Project: Customer Segmentation and Churn Prediction

Module 1: Neural Network Basics

• Perceptron, MLP, Forward/Backward Propagation
• Activation Functions, Loss Functions, Optimizers (SGD, Adam)

Module 2: Convolutional Neural Networks (CNN)

• Convolution, Pooling, Flattening
• Architectures: LeNet, VGG, ResNet
• Image Classification Projects

Module 3: Recurrent Neural Networks (RNN)

• RNN, LSTM, GRU>
• Sequence-to-Sequence Models

Mini Project: Handwritten Digit Recognition using CNN (MNIST Dataset)

Module 1: NLP Fundamentals

• Tokenization, Lemmatization, POS Tagging
• Word Embeddings: Word2Vec, GloVe, FastText
• Text Classification, Summarization, Named Entity Recognition

Module 2: Generative AI

• GANs (Generative Adversarial Networks)
• VAEs (Variational Autoencoders)
• Diffusion Models

Module 3: Transformers & Large Language Models (LLMs)

• Attention Mechanism, Encoder-Decoder Architecture
• Hugging Face Transformers, GPT, BERT, T5, LLaMA
• Fine-tuning & Prompt Engineering

Mini Project: AI Text Generator or Image Generator using Pretrained Models

Module 1: Model Validation & Evaluation Techniques

• Overfitting vs Underfitting, Bias-Variance Tradeoff
• Cross-validation, Bootstrapping

Module 2: MLOps Concepts

• Model Versioning, Pipelines, Monitoring
• Tools: MLflow, DVC, Docker Basics

Module 3: Integration & Deployment

• Flask / FastAPI for Model APIs
• Deployment on AWS / Azure / Streamlit / Gradio

Module 3: Agentic AI & Reinforcement Learning

• LangChain, AutoGPT Basics
• RL Fundamentals: Q-Learning, DQN

Mini Project: Deploying an AI Model as a Web App

Module 1: Agentic AI

• AI Chatbot with GPT or LangChain
• Image Generator using GAN/Diffusion
• Speech-to-Text / Text-to-Speech App
• Predictive Analytics Dashboard
• Reinforcement Learning Game Agent