Beginner SML-101 ⏱ 10 weeks 📚 16 topics

Machine Learning Foundations Certification

Start your AI journey with machine learning fundamentals, data science basics, and your first ML models

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Questions

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Pass Score

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Time Limit

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What You'll Demonstrate

  • Understand fundamental machine learning concepts and terminology
  • Build, train, and evaluate your first ML models
  • Work confidently with real datasets and data preprocessing
  • Apply statistical analysis techniques to data problems
  • Deploy machine learning models to production environments
  • Create a complete ML project portfolio

Topics Covered by This Exam

1

What is Machine Learning?

45 minutes

lesson
2

Types of Machine Learning

60 minutes

lesson
3

Python for Data Science Basics

90 minutes

lesson
4

Basic Statistics for Machine Learning

75 minutes

lesson
5

Data Collection and Web Scraping

90 minutes

lesson
6

Exploratory Data Analysis

120 minutes

lesson
7

Data Cleaning and Preprocessing

120 minutes

lesson
8

Data Visualization

90 minutes

lesson
9

Linear Regression for Beginners

120 minutes

lesson
10

Logistic Regression Introduction

120 minutes

lesson
11

Decision Trees

90 minutes

lesson
12

Feature Engineering

120 minutes

lesson
13

Model Evaluation

90 minutes

lesson
14

Ensemble Methods

90 minutes

lesson
15

Model Deployment

120 minutes

lesson
16

Machine Learning Final Project

300 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