GenTech Academy Syllabus
Data Science & Machine Learning
Data analysis, statistics, Python, pandas, and machine learning pipelines.
Live Code Review Track
6 Months•1-on-1 Senior Engineer Mentorship
₹35,000All learning resources, PR reviews & industry certificate included.Structured Curriculum Breakdown
Step-by-step roadmap from fundamentals to live cloud-deployed capstones.
Module 01Phase 01
Python for Data Analysis & Mathematical Foundations
Linear algebra, multivariable calculus, probability, NumPy matrix manipulation, and Pandas.
NumPy VectorizationPandas DataFrame WranglingExploratory Data Analysis
Module 02Phase 02
Supervised & Unsupervised Machine Learning
Regression, classification, decision trees, random forests, clustering, and model validation.
Scikit-Learn WorkflowsCross-Validation & HyperparametersFeature Engineering
Module 03Phase 03
Deep Learning & Neural Architectures
Feedforward networks, convolutions, transformers, PyTorch, and transfer learning pipelines.
PyTorch Tensor ComputationConvolutional Neural NetsTransformer Attention Layers
Module 04Phase 04
MLOps, Model Serving & FastAPIs
Packaging machine learning inference models inside containerized FastAPI endpoints.
FastAPI Microservice EndpointsDocker ContainerizationModel Registry & Versioning
Module 05Phase 05
Capstone Production Machine Learning System
End-to-end deployed AI application with continuous data ingestion and automated retraining.
End-to-End Pipeline ExecutionCloud GPU DeploymentProduction Monitoring
● Admissions Open
Reserve Your Seat
Batches are limited to 15 students per cohort to guarantee personalized pull request reviews.
Batch Capacity:15 Seats Max
Mentorship:1-on-1 Code Reviews
Format:Live + GitHub Projects
Certification:Industry Verified
Prerequisites & Commitment
- Basic computer literacy & genuine motivation to write clean code daily.
- Minimum 6–8 hours weekly commitment for assignments and PRs.
- Personal laptop with modern OS (macOS, Linux, or Windows).