Machine Learning for Non-Programmers: 1 Day Training in Seattle, WA
A beginner-friendly introduction to machine learning concepts and real-world applications without complex coding
Group Discounts:
Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants
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
This 1 Day Machine Learning course is designed for non-programmers who want to understand how machine learning works and how it is applied in real-world scenarios. The course explains core concepts in simple language and focuses on practical understanding rather than complex mathematics or coding. Learners explore how data is used, how models make predictions, and how results are interpreted for decision-making. Real-life examples from business, education, healthcare, and everyday technology are used throughout. By the end of the session, learners gain confidence in understanding and using machine learning concepts in their professional context.
Learning Objectives
• Understand core machine learning concepts clearly
• Differentiate machine learning from AI and automation
• Identify real-world machine learning applications
• Interpret machine learning outputs meaningfully
• Apply ML insights to professional decision-making
• Recognize limitations, bias, and ethical concerns
• Build confidence in working with ML-enabled tools
Target Audience
• Non-technical professionals
• Managers and decision-makers
• Students and educators
• Business, HR, and marketing professionals
• Researchers and analysts
• Anyone curious about machine learning without coding\
Why Choose This Course?
This course is delivered by an experienced trainer skilled at explaining technical concepts in simple, relatable language. The focus is on understanding and application rather than programming or mathematics. Practical examples make machine learning approachable and relevant. The 1 Day structure ensures clarity without overwhelm and delivers immediate value.
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Good to know
Highlights
- ages 18+
- In person
- Paid parking
Refund Policy
Location
Plaza 600
600 Stewart Street
Ph No +1 469 666 9332 Seattle, WA 98101
How do you want to get there?
Agenda
Module 1: Introduction to Machine Learning
• Understand what machine learning means in simple terms • Differentiate machine learning from traditional programming • Identify everyday examples of machine learning • Icebreaker
Module 2: How Machine Learning Works
• Understand data, patterns, and learning basics • Learn how machines improve with experience • Recognize the role of data quality • Case Study
Module 3: Types of Machine Learning
• Understand supervised, unsupervised, and basic learning types • Identify common use cases for each type • Avoid confusion between technical jargon • Activity