WorkshopIn person

Machine Learning for Non-Programmers: 1 Day Training in Austin, TX

09:00regus TX, Austin - Dobie Center, Austin, United States

This one-day training provides non-programmers with a clear understanding of machine learning concepts and their real-world applications. It helps professionals gain confidence in interpreting and using machine learning insights without coding knowledge. The course suits decision-makers, students, and analysts aiming to apply ML in their fields more effectively.

Details

Date
Start time
09:00
Venue
regus TX, Austin - Dobie Center
Address
2021 Guadalupe Street #Suite 260, Ph No +1 469 666 9332, Austin, TX 78705, Austin, TX, US
City
Austin
Country
United States
Format
In person
Price
USD 708.02
Language
en-US
Type
Workshop

About this event

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 wi

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