Machine Learning Training in Mysore (Mysuru) – ML Algorithms, Deep Learning & MLOps

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SoftPro9 runs Machine Learning Engineering training from our classroom on New Kantharaj Urs Road, Saraswathipuram, with the same batches streamed live online for learners across Mysuru, Mandya and Nanjangud.

  • Covers: Python, NumPy, pandas, scikit-learn, XGBoost, LightGBM, CatBoost, Optuna and more
  • Mode: Classroom in Saraswathipuram, live online, or hybrid
  • New batches: Every Monday and Thursday; IST slots 7 AM / 7:30 PM / 9 PM
  • Duration: 20–24 weeks at 10–12 hours a week, including a production capstone
  • Fee: The current fee is listed on the Machine Learning Engineering course page: /course/machine-learning-ml-training-course. Any cloud ML certification exam is optional and paid directly to the exam provider.
  • Batch size: Up to 15 learners
  • Practice: GPU-enabled cloud notebooks, MLflow tracking server and your own GitHub repositories

Last updated: 28 October 2026

Machine Learning course in Mysore: basic to advanced

ML roles open to Mysuru learners are mostly hybrid or remote, so a deployed project you can demo matters more than where you live. The course is split into three levels. You can join at the level that matches your experience after a short assessment at counselling.

Basic

Maths and ML foundations

  • Python, NumPy and pandas for ML work
  • Linear algebra: vectors, matrices, dot products, eigenvectors
  • Calculus for ML: derivatives, gradients and gradient descent
  • Probability, distributions and Bayes' theorem
  • The ML workflow: train/validation/test splits, bias and variance
  • Linear and logistic regression built from scratch, then with scikit-learn
  • Evaluation metrics: RMSE, precision, recall, F1, ROC-AUC

Mysore practice: Tourism seasonality, Dasara peak included, in forecasting and dashboards.

Intermediate

Algorithms and model building

  • Decision trees, random forests and ensembles
  • Gradient boosting with XGBoost, LightGBM and CatBoost
  • Support vector machines and k-nearest neighbours
  • Clustering (k-means, DBSCAN, hierarchical) and PCA
  • Feature engineering, encoding, scaling and pipelines
  • Hyperparameter tuning with grid search and Optuna
  • Imbalanced data, cross-validation strategies and data leakage
  • Recommender systems: collaborative filtering and matrix factorisation

Mysore practice: Kannada text and bilingual UI exercises.

Advanced

Deep learning and MLOps

  • Neural networks and backpropagation with PyTorch
  • CNNs for images and sequence models for text and time series
  • Transfer learning and fine-tuning pretrained models
  • Time-series forecasting with ML and deep learning
  • Model explainability (SHAP) and fairness checks
  • MLOps: experiment tracking with MLflow, data versioning with DVC
  • Serving models with FastAPI and Docker; batch versus real-time inference
  • Monitoring drift and retraining; intro to Kubernetes, AWS SageMaker and Google Vertex AI

Mysore practice: UPI and payment-gateway flows tested in sandbox mode.

Who joins from Mysore

  • Graduates of Mysuru engineering and science colleges preparing for Bangalore drives
  • Hybrid workers living in Mysuru and working for Bangalore companies
  • Staff at Hebbal Industrial Area firms who want to automate reporting

Roles it typically leads to in Mysore

  • Machine-learning engineer
  • ML / MLOps engineer
  • Data scientist (modelling-focused)
  • Applied ML engineer
  • Computer-vision or recommender-systems engineer

Freshers usually start in junior or support versions of these roles.

Machine Learning Engineering – full course details and fee →

Tools you will use

Every tool below is used hands-on in class or in a project, not just mentioned on a slide.

  • Python
  • NumPy
  • pandas
  • scikit-learn
  • XGBoost
  • LightGBM
  • CatBoost
  • Optuna
  • PyTorch
  • TensorFlow / Keras
  • SHAP
  • MLflow
  • DVC
  • FastAPI
  • Docker
  • Kubernetes (intro)
  • AWS SageMaker
  • Google Vertex AI
  • Git & GitHub
  • Jupyter

Projects you will build

  1. A credit-risk model with tuned gradient boosting, SHAP explanations and a fairness check

  2. A product recommender system evaluated against a popularity baseline

  3. An image classifier fine-tuned from a pretrained CNN

  4. A capstone model served through a FastAPI endpoint in Docker, with MLflow tracking and drift monitoring

  5. Mysore project: A model predicting tourist footfall at Mysuru Palace from season, festivals and weather, using data and conventions from Mysore.

Upcoming Mysore Machine Learning batches

New batches start every Monday and Thursday, with no more than 15 learners in each. Weekday class slots in IST: 7 AM / 7:30 PM / 9 PM. Weekend slots: 10:30 AM / 10:30 PM.

Students tend to pick weekend classroom batches at Saraswathipuram; working learners take the 7:30 PM slot in person or online and catch up from recordings during exam or shift weeks.

Start dateCourseModeBatch size
Thu, 29 Oct 2026Machine Learning (all levels)Classroom + live onlineUp to 15
Mon, 2 Nov 2026Machine Learning (all levels)Classroom + live onlineUp to 15
Thu, 5 Nov 2026Machine Learning (all levels)Classroom + live onlineUp to 15
Mon, 9 Nov 2026Machine Learning (all levels)Classroom + live onlineUp to 15

Message us with the start date and slot you want, and we will confirm your seat.

Reserve on WhatsApp

Machine learning in brief

Machine learning is the part of AI where software learns patterns from data instead of following hand-written rules. A trained model can score a loan application, recommend a product, flag a faulty part or forecast demand, and it improves as it sees more data.

This course goes deeper into the engineering side than a general data science course: how algorithms work under the hood, how to tune and validate them properly, and how to ship, monitor and retrain models in production with MLOps tools such as MLflow, DVC, Docker and cloud ML platforms.

Why machine learning skills matter in Mysore

Mysuru has a growing IT and IT-enabled services base around Hebbal Industrial Area and Hootagalli, a large student population, and a lower cost of living that draws remote workers from Bangalore. Many learners here aim for remote or hybrid roles with Bangalore companies, or for jobs at the IT and engineering firms already in the city.

Who hires in Mysore

  • IT and ITeS campuses

    Hebbal Industrial Area and Hootagalli host software, engineering-services and BPM operations that recruit graduates locally.

  • Manufacturing

    Automotive, electronics and tyre plants in the Hebbal and Nanjangud industrial areas, where analytics and automation roles are growing.

  • Remote and hybrid Bangalore roles

    Bangalore startups and GCCs increasingly hire hybrid staff based in Mysuru, about three hours away by road or rail.

  • Tourism and heritage businesses

    Hotels, travel operators and handicraft sellers who need websites, booking systems and sales reporting.

Local context you will work with

Generic courses use generic datasets, and interviewers notice. Our exercises include:

  • Datasets in Indian formats: ₹ with lakh/crore grouping, PIN codes and GSTINs
  • Tourism seasonality, Dasara peak included, in forecasting and dashboards
  • Kannada text and bilingual UI exercises
  • UPI and payment-gateway flows tested in sandbox mode
  • Indian fiscal year (April–March) reporting

How to choose the right Machine Learning track

Your backgroundStart withWhy
Software developerFull courseYour engineering habits are what MLOps needs
Data analyst with PythonAlgorithms, then MLOpsMove from reporting to models that run in production
Engineering / maths graduateFull courseThe maths module will be a quick refresher
New to programmingPython firstML assumes you are comfortable writing Python
Mainly interested in ChatGPT-style appsArtificial Intelligence courseThat course focuses on LLMs, RAG and agents

Common pairings: Machine Learning + Python (if you are new to coding), Machine Learning + Artificial Intelligence (for generative AI roles), and Machine Learning + DevOps (for MLOps-heavy roles). Learn one course well before adding a second.

From course to first role: a realistic path

  1. Master the maths and ml foundations before moving on.

  2. Build and publish your projects, including the Mysore capstone.

  3. Apply for entry roles such as machine-learning engineer or ml / mlops engineer with employers like the it and ites campuses above.

Honest note: freshers usually start in junior or trainee roles, and salaries in Mysore vary too widely for a headline figure. Ask us which openings we are seeing.

Machine Learning certification: what we cover and what we issue

There is no single official machine-learning certification. Cloud vendors run optional exams such as AWS Certified Machine Learning Engineer – Associate, Google Cloud Professional Machine Learning Engineer and Microsoft Azure Data Scientist Associate (DP-100); they are paid directly to the vendor and are not part of our fee. SoftPro9 issues a course completion certificate. Employers mainly judge ML candidates on deployed projects and how well they explain their modelling choices.

What to check before choosing a Machine Learning institute in Mysore

  • A 2026 syllabus: look for Docker, Kubernetes (intro), AWS SageMaker, Google Vertex AI, not only the basics.

  • Projects on your own accounts, a trainer you can meet first, and a published fee with nothing hidden.

  • No "global certification" or "100% placement" claims: vendors run their own exams, and nobody can promise a job.

How our Machine Learning classes work

  • Classroom at Saraswathipuram

    Batches are taught live from our Saraswathipuram centre. Learners within commuting distance attend in person, and anyone can drop in for doubt-clearing during opening hours.

  • Live, with recordings and reviews

    Live sessions in IST, recordings for revision, and project reviews from the trainer. GPU-enabled cloud notebooks, MLflow tracking server and your own GitHub repositories.

  • Interview preparation

    Mock interviews, resume reviews and referrals to Mysore and remote openings we hear about. We do not guarantee a job.

Machine Learning training across Mysore: which option suits your area

AreaApprox. distance from SaraswathipuramMost learners choose
Saraswathipuram, Kuvempunagar0–2 kmClassroom
Jayalakshmipuram, VV Mohalla, Gokulam3–4 kmClassroom
Vijayanagar, Chamarajapuram, Agrahara4–5 kmClassroom or hybrid
Hebbal Industrial Area, Hootagalli7–9 kmHybrid, evening classroom or online
Srirangapatna, Nanjangud18–25 kmWeekend classroom or online
MandyaAbout 45 kmOnline

Distances are approximate road distances from our Saraswathipuram centre. Check your own route on Google Maps at your class time.

Visit our Mysore centre

SoftPro9 IT Services – Mysore
849, New Kantharaj Urs Road, Kuvempunagara North, Saraswathipuram, Mysuru, Karnataka – 570009

Phone: +91 95354 51414
Email: mys@softpro9.com

Getting here

We are on New Kantharaj Urs Road in Saraswathipuram, close to Kuvempunagar and the University of Mysore campus. City buses on Kantharaj Urs Road stop nearby.

Opening hours

Monday–Friday 9:30 AM–7:30 PM · Saturday 9:30 AM–3:30 PM · Sunday closed

Get directions
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Machine Learning training in Mysore: frequently asked questions

How much does Machine Learning training cost in Mysore?

The current training fee is listed on the Machine Learning Engineering course page: /course/machine-learning-ml-training-course. It covers live classes, the practice environment, projects and interview preparation. Any cloud ML certification exam is optional, not included, and paid directly to the exam provider.

How is this different from the Data Science course?

Data Science covers the whole workflow from analysis to modelling and communication. Machine Learning goes deeper into algorithms, tuning and putting models into production with MLOps.

How much maths do I need?

School-level maths is enough to start. We teach the linear algebra, calculus and probability that ML relies on, with code and intuition rather than proofs.

Do you cover MLOps?

Yes. You track experiments with MLflow, version data with DVC, serve models with FastAPI and Docker, and monitor drift.

Do I need a GPU?

No. Deep-learning exercises run in GPU-enabled cloud notebooks we provide.

Is there a classroom in Mysore?

Yes. Our Mysore centre is at 849, New Kantharaj Urs Road, Saraswathipuram. Classroom and hybrid batches run there, and the same batches are streamed live online.

Will I get help applying to Bangalore companies?

Yes. Interview preparation, resume reviews and referrals to openings we hear about cover Bangalore and remote roles, though we do not guarantee placement.

When does the next batch start?

New Machine Learning batches start every Monday and Thursday. See the batch table on this page for the next dates and IST class slots.

Do you guarantee placement?

No. We provide interview preparation, resume help and referrals to openings we hear about in Mysore, but no institute can honestly guarantee a job.

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Talk to us about your Machine Learning course

Tell us your degree, your current job (if any) and where in Mysore you are. We will suggest a track and a batch that fits.

Chat on WhatsAppCall +91 95354 51414