Build practical Machine Learning skills through live mentor-led training, hands-on projects, and production-oriented learning.
Learn Python, Statistics, Data Preparation, Machine Learning, Deep Learning, NLP, Computer Vision and MLOps - and apply your knowledge through real-world Machine Learning projects.
Machine Learning is no longer limited to research and experimentation. Modern ML professionals need to understand how to prepare data, train models, evaluate results, optimize models and move them toward deployment.
The CraftVoy Machine Learning Course in Chennai is designed to take learners through this complete journey.
You will progress from Python and statistical foundations to supervised and unsupervised learning, advanced machine learning algorithms, deep learning, NLP, computer vision and MLOps. By the end of the program, you will have practical experience building and presenting Machine Learning projects.
12 weeks covering the full ML stack - from Python basics to production model deployment.
Build the programming foundation required for practical ML development.
Understand the concepts behind Machine Learning algorithms.
Learn how to build and evaluate traditional Machine Learning models.
Go beyond basic algorithms and learn techniques used in practical ML projects.
Understand neural networks and modern deep learning workflows.
Build Machine Learning applications that work with text and language data.
Learn how Machine Learning models can understand images and visual information.
Learn how to move Machine Learning models beyond notebooks toward deployable applications.
Apply everything you've learned to build and present an end-to-end Machine Learning project.
Follow a structured path from programming fundamentals to production-oriented Machine Learning.
The objective is not just to learn algorithms - it is to understand how a Machine Learning solution can be developed, evaluated and taken toward production.
Theory becomes valuable when you can apply it. During the program, you will work on practical Machine Learning projects covering different stages of the ML lifecycle.
Build a predictive model to identify customers who may be likely to leave a service.
Build an image classification solution using deep learning.
Build an NLP application for processing and analyzing textual data.
Take a trained ML model toward deployment.
Build practical ML skills alongside your academic studies and create projects for your portfolio.
Develop the practical skills required to move toward Machine Learning and AI-oriented roles.
Build Machine Learning capabilities and explore a transition toward ML and AI engineering roles.
Extend your Python development skills into Machine Learning and intelligent application development.
Move from data analysis toward predictive modeling and Machine Learning.
Follow a structured learning path from programming and data fundamentals into practical Machine Learning.
Learn through structured sessions with guidance from an experienced technology and architecture professional.
Smaller cohorts enable greater interaction, questions and project discussions.
Apply concepts through practical projects instead of relying only on theoretical lessons.
Go beyond model training and understand APIs, MLflow, Docker and model deployment workflows.
Progress systematically from Python and statistics to Machine Learning, Deep Learning and MLOps.
Build projects that can demonstrate your practical Machine Learning capabilities.
Vijay Gurunathan brings extensive experience across software engineering, enterprise architecture, cloud, AI, data and large-scale technology systems. The CraftVoy Machine Learning program is designed with an engineering-oriented approach that connects Machine Learning concepts with practical software development, architecture and deployment.
“The Machine Learning course at CraftVoy is exactly the right depth. Not too academic, not too shallow. The projects are genuinely challenging and portfolio-worthy.”
“I started with zero ML knowledge. The curriculum builds logically from Python to deep learning. The small batch meant the instructor could answer every question I had in real time.”
“The transition from data analyst to ML engineer was seamless with CraftVoy. The MLOps module in particular was invaluable - I had no idea that's where most ML jobs actually live.”
“Theory is not enough in ML - you need to build things. CraftVoy balances both perfectly. The NLP and Computer Vision modules are comprehensive and immediately usable.”
Python · NumPy · Pandas · Statistics · Data Preparation
Supervised Learning · Unsupervised Learning · Regression · Classification · Clustering
Feature Engineering · Ensemble Learning · XGBoost · LightGBM · Model Optimization
Neural Networks · CNN · TensorFlow · PyTorch · Transfer Learning
NLP · Transformers · Hugging Face · Computer Vision
MLflow · FastAPI · Docker · Model Serving · Monitoring
End-to-End Machine Learning Project
Not sure whether you should choose Machine Learning or AI Engineering?
You want to build a strong foundation in Machine Learning, Deep Learning, applied AI and MLOps.
You want a broader learning path covering Machine Learning, Generative AI, LLM applications, RAG and Agentic AI.
Choose the Learning Format That Fits Your Career Stage
Build practical Machine Learning skills through live mentor-led training, real-world projects and production-oriented learning.
12 Weeks · Live Mentor-Led · Small-Batch Learning · 4+ Projects · MLOps · Deployment
For college students with a valid student ID
Build practical Machine Learning skills alongside your academic journey.
Pilot / early-cohort pricing is available for a limited number of learners.
For fresh graduates and working professionals
A complete, practical Machine Learning program designed around real-world development and deployment.
For learners who want dedicated mentor interaction and personalized project guidance
A personalized Machine Learning learning experience built around your goals, learning pace and project requirements.
| Feature | Student | Professional | 1:1 Premium |
|---|---|---|---|
| Live Mentor-Led Training | |||
| Complete ML Curriculum | |||
| Machine Learning Projects | 4+ | 4+ | Personalized |
| Deep Learning | |||
| NLP & Computer Vision | |||
| MLOps Fundamentals | |||
| MLflow | |||
| FastAPI | |||
| Docker & Deployment | |||
| Capstone Project | |||
| Career Guidance | |||
| Interview Preparation | |||
| Code & Project Review | |||
| Personalized Project | |||
| Individual Mentoring | |||
| Certificate |
Program schedules, cohort availability, pricing and applicable offers may vary. Contact CraftVoy for current admission details.
GST is applicable in addition to the published program fee.
CraftVoy focuses on helping learners build practical skills and a demonstrable portfolio. Depending on the program, career guidance may include:
Career guidance does not represent a guaranteed job placement unless specifically stated in a written program agreement.
Build practical Machine Learning skills with a structured learning path covering Python → Machine Learning → Deep Learning → NLP → Computer Vision → MLOps → Deployment. Whether you are a college student, graduate, developer, analyst or working professional, CraftVoy provides a structured path to develop practical Machine Learning capabilities.
Each program is live, mentor-led, and limited to small cohorts.
Build the programming foundation required for AI and Machine Learning.
Explore the broader AI engineering journey from Machine Learning to Generative AI and Agentic AI.
Learn modern LLM and Generative AI application development.
Explore AI agents, orchestration and autonomous AI workflows.