Course Overview
Why Choose This Course?
Everything you need to become successful
Expert Trainers
Learn from industry professionals with years of experience
Industry Certificate
Get certified and boost your career prospects
Course Curriculum
Comprehensive modules designed for complete learning
Generative AI & LLM Fundamentals Traditional AI vs Generative AI Real-World AI Applications & AI Tools Python Variables, Data Types & Operators Control Statements, Loops & Jump Statements Strings, Lists, Tuples, Sets & Dictionaries Functions, Lambda & Built-in Functions Modules, File Handling & Exception Handling Python OOP & Mini Project
NumPy Arrays, Indexing, Slicing & Reshaping Mathematical, Aggregation & Linear Algebra Operations Boolean Masking, Broadcasting & Array Manipulation Pandas DataFrames, Selection & Filtering Missing Values, Sorting, GroupBy, Merge & Join CSV/Excel Data Handling & Pivot Tables Matplotlib Line, Bar, Histogram, Pie & Scatter Charts Real Dataset Visualization & Customization Advanced Excel — Validation, Goal Seek, Solver & Macros Excel Dashboards, Reports, Invoice & Attendance Sheets
Machine Learning Introduction & Types Dataset Understanding & Data Preprocessing Missing Values & Encoding Techniques Feature Scaling, Train-Test Split & Outlier Handling Data Leakage & Imbalanced Data Linear, Multiple & Polynomial Regression Ridge, Lasso & ElasticNet Regression Decision Tree, Random Forest & Gradient Boosting Regression Evaluation Metrics & Model Compariso
Classification Fundamentals Logistic Regression, KNN, SVM & Naive Bayes Decision Tree, Random Forest & Boosting Classification Metrics, Confusion Matrix & ROC Curve Unsupervised Learning & K-Means Clustering Elbow Method, Hierarchical Clustering & DBSCAN Dimensionality Reduction — PCA & LDA Overfitting, Underfitting & Bias-Variance Tradeoff K-Fold & Stratified K-Fold Cross Validation Hyperparameter Tuning, Feature Selection & Feature Engineering Ensemble Learning & ML Pipelines
Model Saving & Streamlit ML Applications Advanced Streamlit ML Apps Feature Importance & Model Explainability Model Comparison & Selection House Price Prediction Dashboard End-to-End ML Workflow & Project Implementation
Deep Learning Fundamentals Biological vs Artificial Neurons Neural Networks, Layers & Keras Activation & Loss Functions Forward Propagation, Backpropagation & Gradient Descent Optimizers & ANN Model Development Model Training & Evaluation Overfitting, Regularization & Batch Normalization Complete ANN Project
Convolutional Neural Networks Convolutional, Pooling & Fully Connected Layers CNN Image Classification Project Data Augmentation & Transfer Learning Pretrained Models & Fine-Tuning Object Detection Fundamentals YOLO & Single Shot Detector Object Tracking, Face Detection & Face Recognition
RNN Fundamentals & Architecture Vanishing Gradient Problem LSTM & GRU Model Deployment & AI Tools Face Recognition Backend Django + Webcam Face Recognition NLP & Text Data Understanding Text Cleaning, Tokenization, Stemming & Lemmatization POS Tagging & Text Vectorization TF-IDF & Word Embeddings Text Classification & Sentiment Analysis Named Entity Recognition Transformers & BERT
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