Detailed Career Track

Machine Learning and AIDeep Learning and MLOps

Build and ship intelligent systems using deep learning, NLP, computer vision, and production-grade MLOps practices.

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Machine Learning and AI

6 Months

Duration

1500+

Learners

4.8/5

Rating

Advanced

Level

Month 1: ML Foundations
72 practical hours

Topics

  • Math refresh
  • Scikit-learn
  • Data prep
  • Model metrics

Projects

  • Classical ML classifier
Month 2: Core Algorithms
78 practical hours

Topics

  • Regression
  • Trees
  • SVM
  • Ensembles

Projects

  • Churn prediction model
Month 3: Deep Learning Essentials
84 practical hours

Topics

  • Neural networks
  • Optimization
  • CNN
  • Transfer learning

Projects

  • Image classifier
Month 4: NLP and Sequence Models
88 practical hours

Topics

  • Tokenization
  • RNN/LSTM
  • Transformers
  • Fine-tuning

Projects

  • Text intelligence app
Month 5: MLOps
90 practical hours

Topics

  • Model packaging
  • Pipelines
  • Monitoring
  • A/B workflows

Projects

  • Deployable ML service
Month 6: Capstone and Interviews
95 practical hours

Topics

  • System design
  • Case studies
  • Mock interviews
  • Capstone

Projects

  • Industry-grade AI capstone