Machine Learning for NON Programmers | AI Training Course
Machine learning for non-programmers” refers to the ability to utilize machine learning capabilities to solve Business problems and take advantage of Business opportunities without needing to write complex code, often achieved through “no-code” platforms, like Google Auto ML and Rapidminer – which is what making this course invaluable for all business people across all industries.
Designed for nontechnical data users, the no code approach used provide the same key concepts and logical reasoning behind using AI/ML algorithms to build data solutions that data engineers and data scientists use in AI/ML.
The global AI market is set to expand at a compound annual growth rate of 37.3% (Grand View Research) which leads to a stark shortage of skills. A significant obstacle in the growth of Machine Learning – a foundational subset of AI – is the lack of coding knowledge in the marketplace and the need to learn coding, which makes this course essential for Learners across all industries.
- Training Type: Virtual Classroom Training. Also available for on-site Corporate Training
- Duration: 2 days / 16 hours. Weekdays and weekends classes
- Corporate Training: Contact us for special rates
Who Should Attend This Class:
- Business Managers
- Business Analysts
- Consultants
- Operations
- Entrepreneurs
- Project Managers and Working Professionals with non-technical backgrounds aspiring to lead AI/ML teams across industries
Machine Learning for NON Programmers | Training Course Topics:
- Build No-Code ML Models: Learn to create machine learning models using intuitive, drag-and- drop tools to solve business problems.
- Data Preparation & Analysis: Gain skills in cleaning, preparing, and analyzing data for machine learning applications.
- Use Pre-Built Tools & Algorithms: Understand and apply pre-built pipelines and common machine learning algorithms effectively.
- Apply ML Techniques: Implement models for classification, regression, clustering, natural language processing, and computer vision.
- Understand Key ML Concepts: Develop a foundational understanding of data interpretation, prediction, decision-making, and causal inference.
Contact Us:
To learn more about our Machine Learning for NON Programmers Training course & classes, please get in touch with us:
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