Learn to train and optimize common machine learning models, manage resource limitations, and streamline model building with no-code automation. Analyze output confidently with guided interpretation and error analytics.



Practical Machine Learning without Coding
This course is part of No-Code Machine Learning and Data Science for Everyone Specialization

Instructor: LearnQuest Network
Access provided by CelcomDigi Berhad
Recommended experience
Skills you'll gain
- Analytics
- Application Programming Interface (API)
- Machine Learning
- Cloud Computing
- No-Code Development
- Business Continuity
- Data Ethics
- Applied Machine Learning
- Application Deployment
- Workflow Management
- Performance Measurement
- Scalability
- Continuous Improvement Process
- Big Data
- MLOps (Machine Learning Operations)
- Responsible AI
- Performance Tuning
- Compliance Auditing
- Business Metrics
Details to know

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October 2025
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There are 3 modules in this course
Unlock practical machine learning for real-world impact—without ever touching code. In this module, gain hands-on experience building standard ML models on modern no-code platforms. Experiment efficiently by launching batch training jobs, automating performance reviews, and resolving errors confidently using intuitive guides. Simplify the art of hyperparameter tuning and learn to optimize model complexity for key business scenarios. Each lesson delivers actionable skills for fast career growth in today’s data-driven industries.
What's included
7 videos2 readings3 assignments2 plugins
Take your machine learning skills to the next level with no-code tools built for scale. In this module, harness cloud-enabled features to process big data and deploy advanced models—without complexity. Build resilience into your workflows with automated backups, Geo specific model tuning, and integrated auditing to spot bias and keep models performing at their peak. Learn the frameworks that future-proof your work and ensure compliance as you grow.
What's included
7 videos1 reading3 assignments1 plugin
Bring machine learning models to life in real business environments—without a single line of code. This module shows how to deploy solutions quickly and reliably using no-code workflow editors and seamless API integrations. Learn to drive measurable impact, automate deployment, and foster ongoing improvement with strong communication and stakeholder engagement. Master the skills that transform ML prototypes into business-critical assets, clear resistance, and set the stage for success.
What's included
7 videos2 readings2 assignments1 plugin
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