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Machine Learning Course In Delhi Bangalore

Machine Learning Course In Delhi Bangalore
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Comprehensive Machine Learning & Artificial Intelligence Course in Bangalore

Step into the forefront of Artificial Intelligence engineering with the Advanced Machine Learning & Deep Learning Certification at TGC India (Bangalore Hub & Interactive Live Hybrid Cohort). Specially engineered for programmers, quantitative analysts, and aspiring AI engineers, this curriculum delivers a rigorous mathematical and practical immersion into statistical learning, neural network architectures, and production Generative AI deployments.

Flexible weekend and weekday batches with full placement assistance and live mentor guidance for candidates in Bangalore.

Key Program Highlights

  • 2026 Production AI Stack: Python 3.12+, Scikit-Learn, PyTorch, TensorFlow / Keras, Hugging Face Transformers, LangChain, MLflow, FastAPI, and Docker.
  • Mathematical Rigor & Algorithmic Depth: Linear algebra, multivariate optimization (SGD, AdamW), probability calculus, loss surface analysis, and regularization strategies.
  • Deep Learning & Neural Architectures: Build multi-layer perceptrons (MLP), convolutional neural networks (CNN), and sequence models (LSTM / GRU) from scratch.
  • Generative AI & LLM Engineering: Master Transformer multi-head attention, fine-tuning open-source models with LoRA/PEFT, prompt engineering, and building RAG pipelines with Vector DBs (Chroma/Pinecone).
  • Production MLOps: Package predictive models as REST microservices with FastAPI, track experiments with MLflow, containerize with Docker, and deploy on AWS / GCP cloud environments.
  • 100% Placement Support: Rigorous portfolio code reviews, LeetCode ML algorithm drills, and mock technical whiteboarding interviews.

Industry Curriculum & Modules

Module 1: Mathematical Foundations & Python for Machine Learning

Matrix algebra, vector calculus, gradient descent mathematics, probability distributions, hypothesis testing, NumPy matrix operations, and Pandas high-throughput feature engineering.

Module 2: Supervised Learning & Ensemble Algorithms

Linear and Polynomial Regression, Logistic Regression, Decision Trees, Bagging & Random Forests, Gradient Boosted Trees (XGBoost, LightGBM, CatBoost), Support Vector Machines (SVM kernels), Naive Bayes, and KNN. Precision-Recall, ROC-AUC optimization.

Module 3: Unsupervised Learning & Dimensionality Reduction

Clustering algorithms (K-Means, Hierarchical, DBSCAN), Dimensionality reduction via Principal Component Analysis (PCA) and t-SNE, outlier detection with Isolation Forests, and recommendation engines (Collaborative Filtering).

Module 4: Deep Learning Foundations & PyTorch / TensorFlow

Deep feedforward neural networks, backpropagation calculus, activation functions (ReLU, GELU, Swish), vanishing gradient mitigation, regularization (Dropout, BatchNorm, LayerNorm), and building models in PyTorch and TensorFlow.

Module 5: Computer Vision & Sequential NLP Modeling

Convolutional Neural Networks (CNNs), transfer learning with ResNet and EfficientNet, image classification and feature maps. Recurrent Neural Networks (RNNs, LSTMs, GRUs) for sequential time-series forecasting and sentiment classification.

Module 6: Generative AI, LLMs & Foundation Models

Self-attention mechanisms, Transformer architecture mechanics, fine-tuning pre-trained Hugging Face LLMs with LoRA, prompt engineering patterns, vector search (ChromaDB, Pinecone), LangChain agents, and Retrieval-Augmented Generation (RAG).

Module 7: Production MLOps, Model Serving & Capstone Portfolio

Building high-speed inference microservices with FastAPI, experiment tracking with MLflow, containerization using Docker, model monitoring for data drift, and completing 4 enterprise portfolio capstone AI projects with full GitHub repositories.

Career Opportunities & Roles

Graduates from this program successfully secure roles as Machine Learning Engineer, AI Research Engineer, Deep Learning Specialist, NLP Engineer, and Computer Vision Scientist across tech giants, quantitative finance firms, and innovative AI ventures.

Why Choose TGC India in Bangalore?

With 25+ years of technical training leadership, TGC India offers state-of-the-art computational GPU hardware, personalized mentor code reviews, comprehensive AI research guidance, and 100% career placement support.

online Classes starting from 17 Oct, 2026
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