MODULES
SQL: SELECT, UPDATE, DELETE, WHERE clause, ORDER BY, LIMIT/OFFSET, operators, BETWEEN, IN, LIKE, aggregate functions, GROUP BY, HAVING, joins, subqueries, window functions, CTE
PYTHON: variables, operators, output/input, strings, list, tuple, sets, dictionary, if-else, for loop, while loop, break/continue, functions, lambda, modules, error handling, file handling
Libraries: NumPy, Pandas, Matplotlib, Seaborn, SciPy
Scikit-learn: data preprocessing, supervised/unsupervised/reinforcement learning, regression, classification, clustering, dimensionality reduction, model selection, evaluation metrics, pipelines, cross-validation
PyTorch: autograd, neural networks, modules, optimizers, loss functions, data loading, training loops, model evaluation, saving/loading models, GPU support
Neural Networks: perceptrons, activation functions, layers, backpropagation, training, architectures — encoder, decoder, ANN, CNN, RNN, LSTM, GRU, GANs, VAEs
NLP: tokenization, stemming, lemmatization, embeddings, sentiment analysis, language models (LLM), gen AI, prompt engineering
Computer Vision: image processing, feature detection, object detection, image segmentation, optical flow, facial recognition
MLOps / AIOps: web technologies & deployment
Agentic AI: agent architecture, memory, tool calling, RAG, vector databases, LangChain, LangGraph, CrewAI, MCP, API integration, multi-agent systems
PROJECTS (+50 hands-on projects)
Duration: 6 months · Timings: 4 hrs/week · Fees: ₹65,000 in 3 parts (DA only: 3 months / ₹35,000)
Enroll Now