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Artificial Intelligence & Machine Learning Course 2025

Last Update:

August 14, 2025

Review:

4.1

Course Overview

This Artificial Intelligence & Machine Learning course is designed for aspiring data scientists, AI enthusiasts, and professionals seeking to master the latest advancements in intelligent systems. The program covers essential AI concepts, machine learning algorithms, deep learning architectures, natural language processing (NLP), and computer vision techniques. You will gain hands-on experience using popular tools and frameworks such as Python, TensorFlow, PyTorch, and scikit-learn. Through practical projects, real-world datasets, and industry-relevant case studies, you will develop the expertise to design, train, and deploy AI models for various applications including automation, prediction, and intelligent decision-making.

Artificial Intelligence, Machine Learning, Data Science

Who Should Enroll?

  • Students and beginners aspiring to build a career in AI, ML, or Data Science
  • Professionals seeking to upskill in emerging AI & ML technologies
  • Developers aiming to integrate AI-driven solutions into applications
  • Entrepreneurs and innovators interested in AI-powered business solutions

Week 1: Introduction to AI & ML

  • Overview of Artificial Intelligence and Machine Learning
  • Real-world applications and industry trends
  • Understanding supervised, unsupervised, and reinforcement learning
  • Setting up Python environment (Anaconda, Jupyter, VS Code)
  • Introduction to NumPy, Pandas, and Matplotlib

Week 2: Data Handling & Preprocessing

  • Data types, data collection, and storage formats
  • Data cleaning, handling missing values, and outlier detection
  • Feature engineering and feature scaling
  • Exploratory Data Analysis (EDA)
  • Visualization techniques for data insights

Week 3: Supervised Learning – Regression

  • Linear Regression and Multiple Linear Regression
  • Polynomial Regression
  • Model evaluation metrics (MAE, MSE, RMSE, R²)
  • Regularization techniques (Ridge, Lasso)

Week 4: Supervised Learning – Classification

  • Logistic Regression
  • K-Nearest Neighbors (KNN)
  • Decision Trees and Random Forests
  • Model evaluation metrics (Accuracy, Precision, Recall, F1-score)

Week 5: Unsupervised Learning

  • K-Means and Hierarchical Clustering
  • Dimensionality reduction (PCA, t-SNE)
  • Anomaly detection techniques

Week 6: Introduction to Neural Networks

  • Perceptrons and Multilayer Perceptrons (MLP)
  • Activation functions
  • Forward and backward propagation
  • Building models with TensorFlow & Keras

Week 7: Deep Learning – CNNs

  • Convolutional Neural Networks (CNN) fundamentals
  • Image classification and object detection
  • Data augmentation techniques

Week 8: Deep Learning – RNNs & NLP

  • Recurrent Neural Networks (RNN) and LSTMs
  • Natural Language Processing fundamentals
  • Text classification and sentiment analysis

Week 9: Reinforcement Learning Basics

  • Understanding agents, environments, and rewards
  • Q-Learning and Deep Q-Networks

Week 10: Model Deployment

  • Saving and loading ML models
  • Deploying models with Flask/FastAPI
  • Using cloud platforms (AWS, Azure, GCP)

Week 11: Industry Case Studies

  • AI in healthcare, finance, and e-commerce
  • Ethics and bias in AI
  • Interpretable AI and explainable models

Week 12: Capstone Project

  • End-to-end AI/ML solution development
  • Model optimization and performance tuning
  • Presentation and deployment

Reviews

This AI & ML course made machine learning concepts easy to grasp. The projects were practical and boosted my confidence to work on real-world AI applications.

4.1

25 Ratings

Detailed Rating
5 stars
70%
4 stars
20%
3 stars
10%
2 stars
0%
1 star
0%

2 Comments

  • Ravi

    August 10, 2025

    Great AI & ML course! The examples were simple yet effective, and the projects gave me real confidence to work in AI.

  • Meena

    August 5, 2025

    Good for beginners. Covers AI basics, ML models, and data handling in a clear way.

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  • Duration : 3 Months
  • Enrolled : 20+ Students
  • Language : Tamil, English
  • Class Time : Flexible
  • Weekdays : Mon – Fri
  • Weekend : Batches Available
  • Schedule : Flexible
Live 1:1 Classes
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  • Beginner-Friendly Learning

  • Hands-On Practice

  • Personal Mentorship

  • Course Completion Certificate

  • Long-Term Unlimited Support

  • Anytime Doubt Clarification