Introduction to Machine Learning

SKU: M2003
6 Lesson
|
4 Hours
Machine Learning is one of the most in-demand skills in today’s AI-driven world, powering applications from recommendation systems to predictive analytics. Our course is designed by industry experts and includes hands-on, practical exercises using real-world datasets. In this course, you will learn how to build, evaluate, and improve models step by step and gain the confidence to apply machine learning in real projects and career opportunities.

Overview

igmGuru provides Introduction to Machine Learning course designed for beginners who want to understand the core concepts of Machine Learning before moving to advanced topics. This course covers the fundamentals of Machine Learning, including how machines learn from data, different types of learning methods, and real-world applications across industries.

Prerequisites

  • Basic computer knowledge
  • Basic understanding of mathematics (algebra and statistics)
  • Basic programming knowledge (preferred but not mandatory)

What You Will Learn

  • Understand the fundamentals of Machine Learning
  • Differentiate between AI, Machine Learning, and Deep Learning
  • Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
  • Understand the complete Machine Learning workflow
  • Learn key concepts like features, labels, overfitting, underfitting, bias, and variance
  • Overview of common Machine Learning algorithms
  • Build and evaluate a basic Machine Learning model using Python tools

Key Features

Course Curriculum

1. Definition of Machine Learning
2. AI vs Machine Learning vs Deep Learning
3. Real-world applications of ML
4. How ML is used in industries
1. Supervised Learning
2. Unsupervised Learning
3. Reinforcement Learning
4. Examples of each type
1. Problem definition
2. Data collection
3. Data preprocessing
4. Model training
5. Model evaluation
6. Deployment overview
1. Features and labels
2. Training vs testing data
3. Overfitting and underfitting
4. Bias and variance
1. Linear Regression (overview)
2. Logistic Regression (overview)
3. Decision Trees (overview)
4. Clustering basics
1. Python overview
2. NumPy and Pandas
3. Scikit-learn introduction
4. Jupyter Notebook
Talk To Us

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Course Fees

Online Class Room Program

US $ 199.00
100% Money Back Guarantee
  • Duration : 4 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 11 Jul 2026
  • Weekday Batch 13 Jul 2026
  • Weekend Batch 11 Jul 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

Trusted By Top Companies Worldwide

MITSUBISHI
Emirates
BECHTEL
Tech Mahindra
Techmill
metacube
Fareportal
Trelleborg
Capgemini
AU Small Finance Bank
United Nations
Inter Mid
SoftFlex
align
utthunga
Rimini Street
EJADAH
Yash Technologies
suyati
Hettich
APPCINO

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Certification

Upon successful completion of the Introduction to Machine Learning course, you will receive an igmGuru Course Completion Certificate. This certification validates your understanding of fundamental Machine Learning concepts, workflows, and basic model development.

Certification

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