Program Highlights Engineered for Career Breakthroughs
A high-intensity, career-first learning curriculum developed alongside industry architects to deliver tangible production competence, verified credentials, and guaranteed corporate experience.
6 Months Instructor-Led
Live interactive classes led by Senior Engineers & Tech Leads from top product firms. 150+ hours of live instruction, recorded sessions, and dedicated weekly 1-on-1 doubt clearing.
IBM Learning Ecosystem Access
Authorized access to the IBM SkillsBuild enterprise learning portal, official cloud tools, and verified IBM credentials that authenticate your skills to global employers.
Microsoft Learning Ecosystem Access
Direct access to Microsoft Learn resources, real cloud sandbox architectures, and scenario-based hands-on exercises aligned with industry certification standards.
Projects: Hands-on Portfolio
Build 10+ production-grade end-to-end applications deployed to GitHub and cloud infra. Create a public portfolio of real architectures that impresses technical interviewers.
Credentials: Credential Pathways
Receive verifiable digital badges and accredited certificates recognized across 500+ recruitment partners. Directly shareable on LinkedIn, resumes, and candidate profiles.
Internship*: 6-Month Paid Corporate Internship*
Guaranteed entry into real corporate project teams upon completing capstones. Earn an assured monthly stipend along with an official corporate experience letter.
What You Will Learn
Comprehensive curriculum engineered by Staff Engineers to bridge theoretical concepts and production deployment.
Master core programming fundamentals, vectorized computation, and inferential statistics required for production machine learning.
- ✓ Python OOP, Decorators, Generators, Type Hinting & Asynchronous Architectures
- ✓ NumPy & Pandas Internals: Memory-efficient dataframes, chunking, and high-throughput transformations
- ✓ Probability Distributions, Central Limit Theorem, Hypothesis Testing (A/B Tests, Chi-Square, ANOVA)
- ✓ Exploratory Data Analysis (EDA), Outlier Remediation, Missing Value Imputation & Feature Scaling
Engineer high-signal predictive features and compress massive dimensional spaces without information loss.
- ✓ Advanced Feature Transformations: Target encoding, binning, interaction terms, and log-normal adjustments
- ✓ Dimensionality Reduction: Principal Component Analysis (PCA), t-SNE, and UMAP for high-dimensional manifolds
- ✓ Feature Selection Strategies: Variance thresholding, Mutual Information, Recursive Feature Elimination (RFE)
- ✓ Multicollinearity diagnostics using Variance Inflation Factor (VIF) and correlation heatmaps
Construct, tune, and cross-validate industry-standard predictive models for classification and regression tasks.
- ✓ Linear, Ridge, Lasso, and ElasticNet Regression with regularization penalties
- ✓ Tree-Based Ensembles: Decision Trees, Random Forests, XGBoost, LightGBM, and CatBoost
- ✓ Hyperparameter Tuning via Bayesian Optimization (Optuna), GridSearch, and Stratified K-Fold CV
- ✓ Model Interpretability: SHAP (Shapley Additive Explanations) and LIME for transparent predictions
Discover latent behavioral patterns, segment complex user cohorts, and isolate rogue signals.
- ✓ Clustering Algorithms: K-Means++, DBSCAN, Agglomerative Hierarchical Clustering, and Silhouette Scoring
- ✓ Market Basket Analysis & Association Rule Mining (Apriori and FP-Growth algorithms)
- ✓ Anomaly Detection: Isolation Forests, Local Outlier Factor (LOF), and One-Class Support Vector Machines
- ✓ Customer Segmentation modeling utilizing RFM (Recency, Frequency, Monetary) feature matrices
Build neural network architectures using PyTorch and TensorFlow for unstructured visual and sequential data.
- ✓ Deep Feedforward Neural Networks: Backpropagation, Activation Functions, and Gradient Descent Optimizers
- ✓ Convolutional Neural Networks (CNNs): ResNet, EfficientNet, Transfer Learning, and Feature Extraction
- ✓ Recurrent Neural Networks (RNNs) & LSTMs for financial time-series forecasting and sequential signals
- ✓ Hyperparameter Tuning, Dropout Regularization, Batch Normalization, and Early Stopping
Deploy production ML microservices, integrate LLMs, and maintain continuous operational observability.
- ✓ Generative AI & LLMs: Prompt engineering, LangChain, RAG pipelines, and Vector Embeddings
- ✓ REST API Microservices with FastAPI, Pydantic data validation, and Docker containerization
- ✓ Cloud Model Deployment on AWS (EC2/ECS) and Azure Container Instances with horizontal auto-scaling
- ✓ Model Monitoring: Tracking data drift, concept drift, latency degradation, and automated retraining pipelines
Tools & Technologies
Hands-on enterprise stack used across the program.
6-Month Career Transition Roadmap
A structured, milestone-driven progression designed to take you from foundational concepts to production-grade deployment and enterprise employment.
Foundations & Core Engineering
Master fundamental syntax, systems architecture, statistical principles, and core tooling required to build reliable technical foundations.
Advanced Implementation & Labs
Deep-dive into production frameworks, cloud integrations, automated pipelines, and enterprise-grade hands-on laboratory architectures.
Guaranteed Corporate Internship
Work on real corporate projects during your guaranteed 6-month paid internship* with monthly performance stipends and verified industry credentials.
Placement & Career Advancement
Access 1-on-1 interview preparation, resume branding, mock evaluations, and direct recruitment pathways across our 500+ corporate partners.
Production Capstone Projects
Build a portfolio of enterprise-grade projects evaluated by working tech leaders.
Real-Time Credit Risk & Fraud Detection Engine
Extreme gradient boosted pipeline evaluating 100+ transaction features in under 15ms with automated explainability (SHAP).
Deep Learning Diagnostic Imaging Classifier
Convolutional Vision Transformer model classifying medical scans with 98.4% sensitivity and Grad-CAM activation mapping.
Two-Tower Real-Time Recommendation Engine
Personalized item-to-item and user-to-item vector similarity recommender serving millions of catalog predictions.
Industrial IoT Predictive Maintenance Pipeline
Time-series anomaly detector utilizing LSTM and prophet networks predicting equipment failures 48 hours in advance.
Crack Data Science & Machine Learning Technical Rounds
Prepare with our comprehensive 2026 technical guides covering real coding questions, SQL scenarios, Python implementations, and model evaluations.
Career Opportunities & Outcomes
Prepare for top-tier roles across our 500+ corporate recruitment partners.
High-Demand Career Tracks:
Frequently Asked Questions
Everything you need to know about admissions, curriculum, and internships.
This program is beginner-friendly and starts from fundamental core principles before advancing to production-grade enterprise implementations. Prior exposure to basic computing or programming is helpful but not mandatory.
Upon fulfilling course benchmarks and capstone assessments, you are placed into a guaranteed 6-month corporate paid internship* offering competitive monthly performance stipends with verified corporate experience letters and industry credentials.
You will earn official credentials and digital badges aligned with IBM SkillsBuild AI Professional, alongside an official AI Campus Certificate of Mastery that is verifiable on LinkedIn and recognized by 500+ corporate hiring partners.
The program fee of ₹80,000 (inclusive of GST) can be paid via 0% interest no-cost EMI starting from ₹6,666/month with zero down payment required.
Graduates qualify for high-growth roles in AI & Data with corporate salary packages typically spanning from ₹8 - 22 LPA, backed by our dedicated 100% placement support team.
Confused about your career path? Don't wait — talk directly to a mentor.
Get transparent, personalized guidance on curriculum, eligibility, scholarship waivers, and the guaranteed monthly paid corporate internship*. No sales pressure — just honest advice from working tech leaders.
