Certification
Certified ML & Neural Networks Engineer: No-Library Mastery
Show you know how to use AI—earn recognition for mastering machine learning and neural networks from the ground up, coding everything from scratch. Demonstrate true expertise and stand out with a certification that sets you apart.
The exam
Take the certification exam
Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.
What the exam covers
2 questions from each of the 10 chapters of the course
20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.
- 01Introduction4:07
- 02Phase 1 code review19:04
- 03Data cleaning18:19
- 04Confusion matrix34:30
- 05Distance and elongation23:23
- 06Measuring roundness19:57
- 07Vector vs raster23:20
- 08Neural networks42:09
- 09Optimising neural networks20:26
- 10Deep neural networks12:17
The Certified ML & Neural Networks Engineer: No-Library Mastery certification is designed for professionals aiming to master machine learning and neural networks by coding algorithms from scratch. Gain valuable skills such as improved decision-making, adaptability, and a competitive advantage in the field by developing deep technical expertise without relying on external libraries. Enroll now to future-proof your career and unlock higher income potential in the rapidly evolving world of machine learning.
This certification covers the following topics:
- Data Cleaning
- Feature Engineering
- Visualization
- Confusion Matrix
- Multi-Dimensional Data and K-Nearest Neighbors (KNN)
- Neural Networks
- Model Evaluation and Improvement
- Code Structure and Tools
- Integration with Python
- Deep Learning (Introduction)