Intermediate SML-201 ⏱ 10 weeks 📚 10 topics

Intermediate Machine Learning Certification

Advanced machine learning techniques, ensemble methods, and model optimization for real-world applications

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Questions

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Pass Score

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Time Limit

What You'll Demonstrate

  • Master advanced machine learning algorithms
  • Build ensemble models for improved performance
  • Implement sophisticated feature engineering techniques
  • Deploy ML models to production environments
  • Solve complex real-world machine learning problems

Topics Covered by This Exam

1

Advanced Decision Trees

90 minutes

lesson
2

Ensemble Methods

120 minutes

lesson
3

Model Evaluation and Validation

90 minutes

lesson
4

Feature Engineering

120 minutes

lesson
5

Hyperparameter Tuning

90 minutes

lesson
6

Advanced Logistic Regression

90 minutes

lesson
7

Linear Regression Advanced

90 minutes

lesson
8

Model Deployment

150 minutes

lesson
9

Time Series Analysis

180 minutes

lesson
10

Machine Learning Final Project

360 minutes

project

Adaptive Exam Format

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Progressive Difficulty

Questions advance from Easy → Medium → Hard as you proceed through the exam

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Single & Multi Select

Mix of single-answer and multi-answer questions to assess depth of knowledge

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Randomised Bank

Questions are drawn randomly from a larger question bank — no two exams are the same

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Badge & Certificate

Digital badge and printable certificate issued immediately upon passing