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Introduction to Machine Learning

Build a strong foundation in machine learning with Duke University’s beginner-friendly course. Perfect for students and young professionals starting their AI journey. Learn at your own pace with hands-on Python projects.

Course Preview

πŸ“… Duration

16 Weeks

πŸŽ“ Certification

IvySchool.ai + Duke University Partner

πŸ’» Mode

Online + Live

Program Overview

Transform your career with industry's most comprehensive LLMOps specialization

Generative AIModel DeploymentCloud PlatformsVector DatabasesMLOps

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. In addition, we have designed practice exercises that will give you hands-on experience implementing these data science models on data sets. These practice exercises will teach you how to implement machine learning algorithms with PyTorch, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more).

Who Is This Program For?

Perfect for professionals ready to lead AI transformation in their organizations

School Students

Build foundational AI skills for future academic pursuits

College Students

Enhance your CS curriculum with practical ML experience

Young Professionals

Start your AI career with industry-relevant skills

πŸ”₯ Early Bird Special

Complete Course

β‚Ή9999β‚Ή2999Limited Time

  • βœ… 6 comprehensive modules
  • βœ… 69 interactive lessons
  • βœ… Ivy School certificate
  • βœ… No prerequisites required
  • βœ… Lifetime access to materials
πŸ“… Duration: 16 WeeksπŸ‘₯ Cohort Size: 50 Students

Limited time offer Β· Full payment plan available Β· 30-day money-back guarantee

Learning Outcomes

By the end of this course, you’ll have a solid foundation in machine learning concepts and practical experience implementing ML algorithms with Python and PyTorch.

πŸ“˜ Understand Core ML Concepts

Learn supervised and unsupervised learning, classification, regression, and clustering

πŸ’» Implement ML Algorithms

Apply key algorithms like linear regression, decision trees, and neural networks using Python

πŸ“Š Evaluate Model Performance

Use metrics such as accuracy, precision, recall, and F1-score to assess models

πŸ“‚ Work with Real-World Data

Preprocess, clean, and analyze datasets for effective machine learning applications

βš–οΈ Apply ML Ethically

Understand bias, fairness, and ethical considerations in machine learning models

Comprehensive Curriculum

6 sections, 69 lessons, 16 weeks of foundational machine learning education

πŸ“‘ Key Topics

  • Why Machine Learning is Exciting
  • What Is Machine Learning?
  • Logistic Regression and Interpretation
  • Multilayer Perceptron Concepts and Math Model
  • Deep Learning and Transfer Learning
  • Model Selection and Early History of Neural Networks
  • Hierarchical Structure of Images
  • Convolution Filters and Convolutional Neural Networks
  • CNN Math Model and How the Model Learns
  • Applications in Use and Practice
  • Introduction to PyTorch

πŸ’» Hands-on Projects

  • Implement logistic regression with PyTorch
  • Build multilayer perceptron from scratch
  • Create CNN for image classification
  • Transfer learning with pre-trained models

Ready to Start Your Machine Learning Journey?

Join hundreds of students who are already building their future in AI

⏳

16 Weeks

Learning

πŸ‘₯

Limited Seats

Enroll Today

πŸŽ“

Duke Quality

University Standard

πŸ“œ

Certificate

Upon Completion

40% Off Β· Limited Time

β‚Ή9999

β‚Ή2999

One-time payment Β· Full course access

βœ… 30-day money-back guarantee Β· ⚑ Instant access after payment