Intermediate SML-701 ⏱ 8 weeks 📚 15 topics

Java Machine Learning with SuperML Certification

Master machine learning in Java using the SuperML 2.1.0 framework. Build enterprise-grade ML applications with 400K+ predictions/second performance and native Java APIs.

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Questions

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Pass Score

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Time Limit

Topics Covered by This Exam

1

Introduction to SuperML Java

60 minutes

lesson
2

Setting Up Your Development Environment

45 minutes

lesson
3

Data Loading and Preprocessing

90 minutes

lesson
4

Linear Regression in Java

75 minutes

lesson
5

Classification with Logistic Regression

90 minutes

lesson
6

Decision Trees and Random Forest

120 minutes

lesson
7

XGBoost and Gradient Boosting

105 minutes

lesson
8

Neural Networks in Java

135 minutes

lesson
9

AutoML Framework

90 minutes

lesson
10

High-Performance Inference Engine

75 minutes

lesson
11

Model Evaluation and Metrics

75 minutes

lesson
12

Model Persistence and Deployment

105 minutes

lesson
13

Enterprise ML Patterns

90 minutes

lesson
14

Performance Optimization

75 minutes

lesson
15

Building a Complete ML Application

180 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