Machine Learning Course in Coimbatore with Placement

• Advanced Python for ML
• Linear Algebra & Calculus for ML
• Statistics & Probability
• ML Algorithms Deep Dive
• Feature Engineering
• Model Evaluation Metrics

• Neural Network Architecture
• Backpropagation & Optimization
• CNNs for Computer Vision
• RNNs & LSTMs for Sequences
• Attention Mechanisms
• Transfer Learning

• Text Preprocessing
• Transformers & BERT
• GPT Fine-tuning
• RAG Architecture
• LangChain Framework
• Vector Databases (Pinecone)

• MLflow Experiment Tracking
• Model Registry & Versioning
• CI/CD for ML Pipelines
• Data Drift Detection
• Model Monitoring
• A/B Testing for ML

• LLM-powered Chatbot
• Real-Time Image Classifier
• Fraud Detection System
• Recommendation Engine
• MLOps Pipeline on AWS

• ML System Design
• ML Coding Interviews
• Research Paper Reading
• Kaggle Competition Strategy
• ML Engineer Resume
• Salary Negotiation

Yes. This is for aspiring ML engineers — deeper on deep learning, LLMs, MLOps, and production systems. The Python AI/ML course is for beginners.

No. We teach both TensorFlow and PyTorch from scratch with the mathematics behind them.

Yes, Module 3 covers GPT fine-tuning, RAG systems, and building LLM-powered applications.

₹8L–₹16L freshers. Senior ML engineers at top product companies earn ₹30L–₹60L+

Yes, Google Colab Pro access and AWS GPU instances are provided for deep learning labs.

Yes, an entire module on MLflow, DVC, model monitoring, and CI/CD for ML pipelines.