AI & ML

Master supervised learning, deep neural networks, computer vision, NLP, and enterprise ML pipelines.

Python 3.12PyTorchTensorFlowScikit-LearnHugging Face

View Curriculum ↓Enroll Now ↗📊 Intermediate to Advanced

Program Highlights

Key Benefits

Expert-led live sessions

Learn directly from experienced data scientists and AI engineers through interactive, live sessions.

Hands-on project labs

Apply your knowledge to real-world problems using industry-standard ML tools and frameworks.

Industry certification

Earn a recognized certification upon completion to showcase your AI & Machine Learning expertise.

Small batch sizes

Enjoy personalized attention and mentorship with our strictly limited batch sizes.

Career placement support

Get job-ready with resume building, interview prep, and dedicated placement assistance.

Lifetime access to recordings

Never lose your materials. Get lifetime access to all session recordings and course updates.

Course Curriculum

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Unit 1: Mathematics, Python & Statistical Foundations20 Hours

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Unit 2: Supervised & Unsupervised Machine Learning25 Hours

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✓Linear & Logistic Regression, Decision Trees, Random Forests, and Gradient Boosting

✓K-Means clustering, Hierarchical Clustering, PCA, and t-SNE dimensionality reduction

✓Cross-validation, bias-variance tradeoff, ROC-AUC, and hyperparameter tuning with Optuna

✓Hands-on Lab: Building an enterprise credit risk scoring engine from scratch

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Unit 3: Deep Learning, PyTorch & Neural Networks25 Hours

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✓Perceptrons, multi-layer feedforward networks, backpropagation, and loss functions

✓PyTorch tensor fundamentals, autograd engine, and GPU training acceleration

✓Convolutional Neural Networks (CNNs), ResNet architectures, and object detection with YOLOv8

✓Hands-on Lab: Real-time multi-class medical imaging diagnostic classifier

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Unit 4: Natural Language Processing & Transformers25 Hours

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✓Text tokenization, TF-IDF, Word2Vec embeddings, and sequence models (LSTM, GRU)

✓Attention mechanisms, Transformer architectures, and HuggingFace Transformers library

✓Fine-tuning BERT and RoBERTa for sentiment analysis, NER, and text summarization

✓Hands-on Lab: Intelligent financial news sentiment and market trend extraction engine

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Unit 5: MLOps, Model Serving & Cloud Deployment25 Hours

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Hands-On Practice

4. Hands-on Production Capstone Projects

Autonomous Fraud Detection & Anomaly Prevention System

Real-time streaming anomaly detection pipeline processing millions of transactions per second with low latency alerting.

Multi-Modal AI Healthcare Diagnosis Assistant

Deep learning vision and text pipeline that analyzes patient scans and clinical notes to generate structured diagnostic summaries.

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