Build the essential base
₹14,9998 WeeksPython + Mathematics + Statistics + AI + ML Basics
Enquire ↗
CSProjectHub● COMPLETE ARTIFICIAL INTELLIGENCE
Go from Python fundamentals to Machine Learning, Deep Learning, Computer Vision, Generative AI, LLMs, RAG, AI Agents and production deployment through practical, project-driven learning.
● PROGRAM FEES
Each higher program includes the previous level and adds a distinct layer of AI engineering capability.
Python + Mathematics + Statistics + AI + ML Basics
Enquire ↗Foundation + Data Science + Machine Learning
Enquire ↗Professional + Deep Learning + Computer Vision + NLP
Choose this program ↗Master + GenAI + LLM + RAG + Agents + MLOps + Capstone
Enquire ↗● COMPLETE AI · LEARNING JOURNEY
Lower tiers stand alone; every upgrade expands the type and complexity of systems you can build.
Fundamentals, data types, control flow, functions, OOP, modules, packages, files, exceptions, APIs, JSON and NumPy.
Linear algebra, vectors, matrices, probability, statistics, correlation, basic calculus, AI concepts, workflows, neural networks, ethics and responsible AI.
Supervised and unsupervised learning, train/test workflows, regression, classification and evaluation.
OUTCOME · A strong foundation for advanced AI development.NumPy, Pandas, cleaning, preprocessing, EDA, visualization, feature engineering, statistics for ML and Jupyter.
Linear and Logistic Regression, Trees, Random Forest, KNN, SVM, Naive Bayes, K-Means, hierarchical clustering, dimensionality reduction, cross-validation, selection, tuning and Scikit-learn pipelines.
OUTCOME · Develop practical ML solutions using real-world datasets.Neural networks, perceptrons, forward/backpropagation, activation, loss, optimization and regularization with TensorFlow, Keras and PyTorch fundamentals.
Image processing, CNNs, classification, detection, segmentation, transfer learning, OpenCV, YOLO, edge AI, text preprocessing, embeddings, classification, sentiment, NER, sequence models and transformer fundamentals.
OUTCOME · Build Deep Learning, NLP and Computer Vision applications.Generative AI, foundation models, transformers, LLMs, prompt engineering, AI APIs, RAG, vector databases, agentic workflows, deployment, monitoring and MLOps.
Build one end-to-end production application with source code, models, data pipeline, API, web app, RAG, agent, documentation, architecture diagram, presentation and portfolio case study.
OUTCOME · A complete job-ready AI portfolio with a production-style product.● COMPLETE AI ELITE · ADVANCED STACK
The Elite track connects modern AI capabilities into one deployable application architecture.
Foundation models, transformers, attention, prompt engineering, AI APIs, architecture, tokenization, embeddings, context windows, fine-tuning concepts, evaluation and local LLM deployment.
Document ingestion, chunking, embeddings, semantic and hybrid search, metadata filtering, retrieval pipelines and RAG evaluation.
PROJECT · Enterprise Knowledge AssistantAgent architecture, tool and function calling, memory, planning, multi-step workflows, retrieval tools, web/API tools, multi-agent concepts and evaluation.
PROJECT · AI Business AssistantGit, GitHub, REST APIs, FastAPI, Docker, model serving, Streamlit, CI/CD, monitoring, logging, versioning, cloud deployment and GPU/CPU considerations.
● INDUSTRY AI PROJECTS
Choose scenarios grounded in real business, industrial and operational needs.
● ELITE CAPSTONE
● CAREER & PORTFOLIO
“Learn AI from the ground up. Build intelligent systems from end to end.”
● START YOUR AI CAREER
Talk to our team about batches, eligibility, learning modes and the right AI program for your goals.