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Artificial Intelligence / Beginner

Artificial Intelligence Fundamentals Tutorial

A focused AI Fundamentals curriculum from fundamentals through practical and advanced topics, with topic-specific examples.

80 lessons~16 hoursv2026 workspace_premium Certificate available
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Course curriculum

MODULE 01
AI Concepts
10 lessons
1Artificial intelligence definition
12 min
2Narrow AI
12 min
3General AI concept
12 min
4Machine learning relationship
12 min
5Deep learning relationship
12 min
6Symbolic AI
12 min
7Expert systems
12 min
8Search and planning
12 min
9Knowledge representation
12 min
10Probabilistic reasoning
12 min
MODULE 02
Data & Features
10 lessons
1Training data
12 min
2Validation data
12 min
3Test data
12 min
4Features
12 min
5Labels
12 min
6Feature engineering
12 min
7Normalization
12 min
8Standardization
12 min
9Categorical encoding
12 min
10Missing data
12 min
MODULE 03
Learning Types
10 lessons
1Supervised learning
12 min
2Unsupervised learning
12 min
3Semi-supervised learning
12 min
4Self-supervised learning
12 min
5Reinforcement learning
12 min
6Classification
12 min
7Regression
12 min
8Clustering
12 min
9Dimensionality reduction
12 min
10Anomaly detection
12 min
MODULE 04
Model Training
10 lessons
1Objective function
12 min
2Loss function
12 min
3Gradient descent
12 min
4Learning rate
12 min
5Epochs
12 min
6Batch size
12 min
7Overfitting
12 min
8Underfitting
12 min
9Regularization
12 min
10Early stopping
12 min
MODULE 05
Evaluation
10 lessons
1Accuracy
12 min
2Precision
12 min
3Recall
12 min
4F1 score
12 min
5Confusion matrix
12 min
6ROC AUC
12 min
7Mean absolute error
12 min
8Mean squared error
12 min
9Cross-validation
12 min
10Baseline model
12 min
MODULE 06
Neural Networks
10 lessons
1Neuron model
12 min
2Activation functions
12 min
3Hidden layers
12 min
4Forward propagation
12 min
5Backpropagation
12 min
6Weight initialization
12 min
7Dropout
12 min
8Convolutional networks
12 min
9Recurrent networks
12 min
10Transformers
12 min
MODULE 07
Responsible AI
10 lessons
1Bias in data
12 min
2Fairness metrics
12 min
3Privacy
12 min
4Explainability
12 min
5Transparency
12 min
6Human oversight
12 min
7Robustness
12 min
8Adversarial examples
12 min
9Data leakage
12 min
10Model cards
12 min
MODULE 08
Applied AI
10 lessons
1Recommendation systems
12 min
2Natural language processing
12 min
3Computer vision
12 min
4Speech recognition
12 min
5Time-series forecasting
12 min
6Generative models
12 min
7Embeddings
12 min
8Vector search
12 min
9Retrieval augmented generation
12 min
10AI system monitoring
12 min
Certificate Included

Artificial Intelligence Fundamentals Certificate

Earn this credential in either of two ways: complete 100% of the course, or take the master exam directly and score 85% or higher. You do not need to finish the course before attempting the exam.

Course completion path
Finish every published lesson → completion certificate is issued automatically.
Mastery exam path
15 MCQs · 100 marks · 30 minutes · 85% pass · 4 attempts.
Fresh questions each attemptNo backtrackingPublic verificationAdd to LinkedIn
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