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SankarsanaEcoHydroAgri Innovations
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Course track · AI & ML

AI & Machine Learning

Practical machine learning, deep learning and generative AI taught through real scientific datasets — not toy examples.

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Photo · Growtika / Unsplash
  • Machine Learning
  • Deep Learning
  • Generative AI
  • LLMs & RAG
  • Explainable AI
  • MLOps
IntermediateLive online · hands-on labs · capstone project

Applied Machine Learning for Scientists & Engineers

Build, validate and interpret ML models on environmental, agricultural and engineering data with Python and scikit-learn.

Course modules
  1. M01Problem framing, data audit and feature engineering
  2. M02Regression, classification and ensemble methods (RF, XGBoost)
  3. M03Cross-validation, spatial & temporal leakage, uncertainty
  4. M04Explainability with SHAP and partial dependence
  5. M05Reproducible pipelines and model reporting
  6. M06Capstone: an end-to-end model on your own data

You will be able to

  • Choose and justify the right model for a scientific question
  • Avoid the validation mistakes reviewers reject
  • Explain model behaviour to non-technical stakeholders
  • Leave with a portfolio-ready, documented project
AdvancedLive online · GPU notebooks · project clinic

Deep Learning & Generative AI Lab

Neural networks, CNNs, sequence models, transformers and practical generative AI — including retrieval-augmented assistants for research.

Course modules
  1. M01Neural network foundations in PyTorch
  2. M02CNNs for images and satellite scenes
  3. M03Sequence models and time-series forecasting
  4. M04Transformers, foundation models and fine-tuning
  5. M05Generative AI: prompting, RAG and evaluation
  6. M06Responsible AI, bias and deployment basics

You will be able to

  • Train and evaluate deep models on real data
  • Fine-tune a pretrained model for a domain task
  • Build a grounded research assistant with RAG
  • Understand limits, risks and evaluation of GenAI

Certificate of Completion

Participants who complete the assessed project and meet the attendance criteria receive a certificate of completion issued by Sankarsana EcoHydroAgri Innovations Pvt. Ltd. It records the course, hours and project completed. This is a professional training certificate, not a university degree or accredited qualification.

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