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Become industry-ready with Python, Statistics, Machine Learning, Deep Learning, NLP, Time Series, Big Data (Spark), and MLOps. Build portfolio projects and earn a QR-verified certificate.
Curriculum includes Pandas/NumPy, EDA & visualization, model evaluation, feature engineering, pipelines, basic Transformers, cloud deployments, and CI/CD best practices.
Equip yourself for tomorrow’s roles with Python, ML, DL, and data engineering foundations-delivered via mentor-led, project-first learning.
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Market Growth (2020–2030)
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Average Fresher Salary
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Program Duration
Build a recruiter-ready portfolio with dashboards, models, and pipelines-imed at Data Analyst, Data Scientist, and ML Engineer roles.
*Figures are indicative and vary by location, skills, and industry.
Go end-to-end from data processing to advanced AI deployment. Build a job-ready portfolio in Python, scikit-learn, TensorFlow, NLP/GenAI, and MLOps-guided by industry experts.
Ingestion → storage → transformation with SQL, pandas/Polars, and lakehouse basics for reliable datasets.
Feature engineering, CV, hyper-parameter tuning, and leakage-free evaluation with scikit-learn.
Neural networks, CNNs/transfer learning with TensorFlow/Keras; best practices for speed and accuracy.
Modern NLP, prompt engineering, and GenAI patterns to build assistants, summarizers, and content systems.
FastAPI packaging, Docker, CI/CD, experiment tracking (MLflow/DVC), and monitoring in production.
Bias checks, documentation, governance, and risk controls so models are explainable and audit-ready.
From EDA & feature engineering to model development, NLP/GenAI, and MLOps, this program emphasizes deployable skills. You’ll ship APIs, dashboards, and reproducible experiments that translate directly to interviews and on-the-job impact.
Keywords: data science and AI course, ML masterclass, deep learning with TensorFlow, NLP and Generative AI, MLOps pipeline, model monitoring, cloud AI solutions, Python data analysis.
An industry-aligned path spanning SQL & BI to Python, Statistics, ML, R, and modern GenAI-with real projects that recruiters can run and trust.
MySQL DBMS course, Advanced Excel analytics, Power BI training, Tableau storytelling, Python programming, pandas matplotlib seaborn, NumPy, statistics and probability, machine learning with Python, R ggplot2 lm glm, deep learning NLP generative AI, prompt engineering, data science capstone projects
*Module order may vary slightly by cohort to maximize outcomes.
Build production-grade pipelines, dashboards, and deployed ML systems with industry-standard tools—from Python/R/SQL to TensorFlow/PyTorch and AWS SageMaker.
EDA, feature engineering, notebooks, data apps, and production APIs.
Statistics, visualization, and reporting with tidyverse workflows.
Model reliable queries, windows, CTEs, and performance tuning.
Interactive dashboards, storytelling, and KPI drill-downs.
Data models, DAX measures, and enterprise-ready reports.
NNs, CNNs, transfer learning, and efficient TF/Keras pipelines.
Flexible modeling, training loops, and deployment patterns.
Training jobs, endpoints, monitoring, and CI/CD integrations.
Master Python, R, SQL, Tableau, Power BI, TensorFlow, PyTorch, and AWS SageMaker to build scalable data science and AI solutions.
Follow these 4 proven steps to move from learner to job-ready DS & AI professional with a portfolio recruiters trust.
Python, Statistics, EDA, supervised & unsupervised ML, Deep Learning, NLP, Time Series, Big Data (Spark) foundations.
End-to-end projects (APIs, dashboards, notebooks) deployed to cloud with READMEs, metrics, and reproducible pipelines.
ATS resume, behavioral & technical mocks, packaging models, simple monitoring, CI/CD & deployment checklists.
Target Data Scientist, ML Engineer, Applied AI Specialist, or MLOps roles (₹9–18 LPA based on city & stack).
Learn from anywhere. Your journey to a DS & AI career starts here.
Build production-grade AI systems and data pipelines with clear metrics, governance, and deployability.
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Develop deep-learning models that flag abnormalities in medical images with explainability.
Real-time anomaly detection for transactions with drift monitoring and alerts.
Personalized ranking using collaborative filtering and content features.
CI/CD for models: versioning, testing, and rollouts with monitoring.
Retrieval-augmented QA with citations and guardrails for safer responses.
Demand & pricing forecasts with rolling backtests and error analysis.
These industry-aligned projects emphasize reproducibility, evaluation, and clean architecture-ideal for Data Scientist, ML Engineer, and Applied AI roles.
*Scope varies by dataset, domain, and pace.
Real reviews from the Comprehensive Data Science & AI - Master Program: end-to-end ML, GenAI, and MLOps with a portfolio recruiters trust.
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Read independent reviews of our Data Science & AI master program. Alumni highlight reproducible ML pipelines, GenAI, MLOps, deployment, monitoring, and job placements.
High-growth careers across Data Science, Machine Learning Engineering, MLOps, and Applied AI in product & services companies.
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*Logos are illustrative of hiring potential. Openings vary by location, tech stack, and experience.
Whether you’re a beginner, analyst, or an experienced professional, this program helps you build a recruiter-ready portfolio in Data Science & AI.
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Start strong with Python, statistics, ML/DL foundations, and portfolio projects to stand out in interviews.
Upskill to lead AI/ML initiatives—learn experimentation, MLOps, and stakeholder storytelling.
Move beyond BI into predictive modeling, feature engineering, and production pipelines.
Enter the AI industry with curated projects, interview prep, and ATS-optimized resumes.
Ideal for students, working professionals, data analysts, and career switchers targeting roles like Data Scientist, ML Engineer, and Applied AI.
Everything about our Comprehensive Data Science & AI program—curriculum, tools, projects, timelines, certification, and career support.
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Still have questions? for a personalized walkthrough of outcomes and placement support.
Enroll now for global certification, job assistance, and a portfolio-first curriculum in Python, ML, Deep Learning, NLP/GenAI, and MLOps.
Flexible schedules • Mentor support • Seats are limited—secure yours today.