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
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
4 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- No-Code Development
- Applied Machine Learning
- Big Data
- Machine Learning
- MLOps (Machine Learning Operations)
- Scalability
- Workflow Management
- Performance Tuning
- Cloud Computing
- Application Programming Interface (API)
- Performance Measurement
- Business Continuity
- Business Metrics
- Analytics
- Continuous Improvement Process
- Data Ethics
- Compliance Auditing
- Application Deployment
- Responsible AI
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
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
Instructor
Offered by
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