programData Science & AI/MLintermediate

Applied AI and Machine Learning

Become an AI/ML engineer with practical model development, evaluation, and deployment experience.

Duration: 10 months
Mode: online/offline
Language: Hindi/English
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Curriculum

Module 1: ML Foundations

4 weeks

Topics Covered:

  • Regression
  • Classification
  • Metrics

Projects:

  • Customer churn prediction

Module 2: Deep Learning Basics

5 weeks

Topics Covered:

  • Neural networks
  • Training loops
  • Regularization

Projects:

  • Image classifier

Learning Objectives

  • Train and evaluate ML models
  • Build NLP and CV prototypes
  • Deploy models for inference

Program Outcome

You will build AI/ML solutions and deploy them in practical scenarios.

Frequently Asked Questions

Is prior Python required?

Basic Python helps, but revision support is included.

Tags

Machine LearningDeep LearningNLPMLOps