Artificial Intelligence and Machine Learning

  • Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries by enabling computers to learn, reason, and make decisions without explicit programming. This field covers data-driven algorithms, neural networks, deep learning, automation, and predictive analytics to build smart applications.

2025-2026

6 Months

( Live, Online, Interactive )

Course Highlights

Admission From

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  • AI vs. Machine Learning vs. Deep Learning
  • Supervised, Unsupervised & Reinforcement Learning
  • Data Processing & Feature Engineering
  • Model Evaluation & Optimization
  • Regression & Classification Algorithms (Linear, Logistic, Decision Trees)
  • Clustering (K-Means, Hierarchical)
  • Ensemble Learning (Random Forest, Gradient Boosting)
  • Model Deployment & Optimization
  • Text Processing & Sentiment Analysis
  • Chatbot & Virtual Assistant Development
  • Speech Recognition & Machine Translation
  • OpenAI GPT & Transformer-based Models

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  • Python for AI & ML
  • Data Preprocessing & Feature Engineering
  • Supervised & Unsupervised Learning
  • Deep Learning & Neural Networks
  • Computer Vision & NLP
  • AI Model Deployment
  • Reinforcement Learning & Robotics
  • AI Ethics & Bias Management

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interior design course

Do I need coding experience for AI & ML?

Yes, Python is essential for working with AI and ML models.

What industries use AI & ML the most?

Healthcare, finance, e-commerce, gaming, cybersecurity, and autonomous vehicles.

What is the difference between AI and ML?

AI is a broader concept where machines mimic human intelligence, while ML is a subset that focuses on learning from data.