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Master AI & ML Engineering

Build intelligent systems and predictive models through hands-on projects in machine learning and deep learning.

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Program Highlights

Neural Networks
Deep Learning
Computer Vision
NLP

Recognized Certifications

Offer Letter

Offer Letter

After Registration

Practical Learning

Practical Learning

During Internship

Internship Certificate

Internship Certificate

After Completion

Master Industry-Standard Technologies

TensorFlow

TensorFlow

ML Framework

PyTorch

PyTorch

Deep Learning

Keras

Keras

Neural Networks

Scikit-learn

Scikit-learn

ML Algorithms

Build Intelligent Systems

Develop cutting-edge AI solutions with hands-on projects in computer vision, natural language processing, and predictive analytics.

Neural Network VisualizationModel Training
AI Development

Learning Path

Phase 1

ML Foundations

  • Python for AI
  • Data Preprocessing
  • Supervised Learning
  • Model Evaluation
Phase 2

Deep Learning

  • Neural Networks
  • TensorFlow/PyTorch
  • Computer Vision
  • Natural Language Processing
Phase 3

Advanced AI

  • Reinforcement Learning
  • Model Optimization
  • AI Deployment
  • Edge Computing

What Our Users Say

Anushuman Roy

Anushuman Roy

Frontend Developer

CodingPort helped me land my dream internship! The learning resources and projects were top-notch.

Archisman Kumar

Archisman Kumar

Data Scientist

The guidance and opportunities provided here are unmatched. Highly recommended!

Anika Garg

Anika Garg

UI/UX Designer

A great platform to enhance your skills and apply them in real-world scenarios.