AI Engineer Course & Curriculum

NCPL's hands-on AI Engineer training — full curriculum, real projects, certification prep, and job placement support. We train, mentor and place you.

Module 1: Python & Math Foundations

12 hours: Master Python and mathematical foundations for AI

  • Advanced Python programming
  • Object-oriented design
  • Linear algebra essentials
  • Calculus for ML
  • Probability and statistics
  • Data structures for AI
  • Algorithm optimization

Module 2: Machine Learning Core

15 hours: Build and deploy ML models for production

  • Supervised learning algorithms
  • Unsupervised learning techniques
  • Model evaluation metrics
  • Feature engineering
  • Scikit-learn mastery
  • Model selection
  • Cross-validation techniques

Module 3: Deep Learning & Neural Networks

13 hours: Create advanced neural network architectures

  • Neural network fundamentals
  • CNNs for computer vision
  • RNNs and LSTMs
  • TensorFlow and PyTorch
  • Transfer learning
  • Model optimization
  • Hyperparameter tuning

Module 4: Cloud AI & MLOps

10 hours: Deploy AI solutions on cloud platforms

  • AWS SageMaker and Bedrock
  • Azure ML Studio
  • Google Cloud Vertex AI
  • Docker containerization
  • CI/CD for ML
  • Model monitoring
  • Production best practices