Python ML & AI Skills – 1 Day Intensive Workshop in Toronto

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About the course:

Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session

Course Overview:

The Machine Learning & AI in Python course equips you with the skills to understand, build, and evaluate predictive models using Python. You will explore key concepts in supervised and unsupervised learning, model evaluation techniques, and feature engineering, along with an introduction to neural networks and deep learning. Through practical, hands-on exercises, the course bridges the gap between theory and real-world machine learning applications, enabling you to apply Python-based ML techniques with confidence.

Learning Objectives

By the end of this course, you will be able to:

• Understand core machine learning concepts and end-to-end workflows
• Build supervised and unsupervised models using Python and scikit-learn
• Evaluate model performance using appropriate metrics
• Apply feature engineering techniques to improve model accuracy
• Gain foundational knowledge of neural networks and deep learning
• Use Python to solve real-world AI and machine learning problems

Target Audience

This course is designed for data scientists, machine learning engineers, developers, and advanced Python users.

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Why Is This Course Right for You?

If you want to extend your Python skills into machine learning and AI, this course provides the ideal foundation. With a strong emphasis on applied learning and industry best practices, you will work with datasets and scenarios that reflect real-world challenges. Expert instructors simplify complex topics such as algorithms and neural networks through hands-on demonstrations. By the end of the course, you will gain confidence in using machine learning tools and be prepared to progress toward advanced AI workflows.

📧 Contact us today to schedule a customized in-house session: corporate@mangates.com