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Artificial Intelligence and Machine Learning

A beginner-friendly, university-level introduction to AI and ML concepts, tools, and applications, progressing logically through theory, practice, and ethics.

5 modules
20 lessons
120h estimated
0 enrolled
Artificial Intelligence and Machine Learning

Free · no credit card needed

5 modules
20 lessons
120h · self-paced
Beginner level
Lifetime access after enrolling
AI tutor included
0Students enrolled
20Lessons
5Modules
120hEstimated time
Course Content

Course roadmap

Module 2 — Machine Learning Fundamentals

4 lessons · 1 quiz
0/4
Complete the previous module to unlock this one.
Supervised vs Unsupervised Learning
Linear Regression and Model Evaluation
Classification Algorithms: Logistic Regression & k-NN
Clustering and Dimensionality Reduction
Checkpoint quiz: Checkpoint Quiz: Foundations of AI and Data + Machine Learning Fundamentals (12 Q · 12 min · 70% to pass)
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Module 3 — Deep Learning Basics

4 lessons · 1 quiz
0/4
Complete the previous module to unlock this one.
Neural Network Architecture
Training Neural Networks
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs) and Transformers
Checkpoint quiz: Checkpoint Quiz: Deep Learning Basics (8 Q · 6 min · 70% to pass)
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Module 4 — Machine Learning Projects and Tools

4 lessons
0/4
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Setting Up the Development Environment
Data Preprocessing and Feature Engineering
Model Selection and Hyperparameter Tuning
Model Deployment and Monitoring

Module 5 — Ethics, Bias, and Future Trends

4 lessons
0/4
Complete the previous module to unlock this one.
Bias and Fairness in AI
Explainability and Trustworthiness
Privacy and Data Governance
Career Paths and Continuing Learning

Final Exam — Artificial Intelligence and Machine Learning

20 questions · 20 min · 75% to pass · certificate on success
Complete every module and its checkpoint quiz to unlock the final exam.
Overview

Course overview

Module 1: Foundations of AI and Data — 4 lessons
Module 2: Machine Learning Fundamentals — 4 lessons
Module 3: Deep Learning Basics — 4 lessons
Module 4: Machine Learning Projects and Tools — 4 lessons
Module 5: Ethics, Bias, and Future Trends — 4 lessons

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Module 1 — Foundations of AI and Data
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