Machine Learning for Non-Programmers: 1 Day Training in Darwin
A beginner-friendly introduction to machine learning concepts and real-world applications without complex coding.
Bring your team and save:
1. Groups of three or more receive a 10% discount
2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.
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 professionalsResearchers 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.
©2025 MG Aussie Events. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.
A beginner-friendly introduction to machine learning concepts and real-world applications without complex coding.
Bring your team and save:
1. Groups of three or more receive a 10% discount
2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.
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 professionalsResearchers 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.
©2025 MG Aussie Events. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.
Want to train your entire team?
This course can be delivered as a customized in-house program aligned with your organization’s industry and roles. Content can be adapted based on experience levels and business use cases. Team-specific examples can be included to increase relevance. Flexible delivery options ensure effective learning outcomes.
📧 Contact us today to schedule a customized in-house, face-to-face session:
Good to know
Highlights
- 8 hours
- ages 18+
- In person
Refund Policy
Location
Regus-Darwin, 66 Smith Street
Level 4 and 5, 66 Smith Street
Ph No: 61(0) 2 80155605 Darwin, NT 0800
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