Project management course

Course overview

This beginner-friendly course introduces you to the world of AI and Machine Learning through clear explanations, real examples, and hands-on exercises. By the end of the program, you’ll understand how intelligent systems work and be able to build your own basic ML models.

Course Module

Module 1 : Introduction to AI & Machine Learning

What is AI?
Types of AI (Narrow, General, Super intelligent)
Real-world AI use cases
Machine learning vs. traditional programming

Module 2 : Understanding Data

What is data? (structured vs unstructured)
Types of data (numerical, categorical, text, images)
Data collection methods
Data cleaning & preprocessing basics
Training data vs testing data

Module 3 : Supervised Learning

What is supervised learning?
Regression vs classification
Common algorithms (Linear Regression, Logistic Regression, KNN, Decision Trees)
Feature selection & labels
Real-world supervised learning examples

Module 4 : Unsupervised Learning

What is unsupervised learning?
Clustering concepts (K-Means, Hierarchical clustering)
Dimensionality reduction (PCA basics)
Pattern discovery & grouping data
Real-world use cases (customer segmentation, recommendation)

Module 5 : Neural Networks & Deep Learning

Introduction to neural networks
How neurons, layers & activation functions work
Feedforward vs backpropagation
Deep learning vs traditional ML
Real-world applications (image recognition, NLP)

Module 6 : Model Evaluation & Improvement

Training vs validation vs testing
Evaluation metrics (accuracy, precision, recall, F1-score)
Overfitting & underfitting
Hyperparameter tuning basics
Improving model performance

Module 7 : Building Real Mini-Projects

Problem understanding & dataset selection
End-to-end ML workflow
Building a supervised learning project
Building an unsupervised learning project
Model deployment basics & project presentation

Meet your tutors

Mark Jhomson

UX/UI Expert

With 10+ years of experience in ML engineering and applied AI, Mark-jhomson has worked with tech companies, universities, and startups to build real-world AI systems.

12 Courses

25k+ students

5.0 (12k+ reviews)

Student review of this course

This course completely changed how I understand AI. The instructor broke down even the most complex topics—like neural networks and gradient descent—into simple, digestible lessons. The hands-on exercises helped me finally connect theory with practical implementation.

Smiling young man with short light brown hair wearing a dark gray button-up shirt with rolled-up sleeves against a dark gray background.

Jhon Macklonar

CEO at Mandole

This program reshaped the way I think about machine learning concepts. Topics that once felt intimidating—like model training and optimization—were explained in a clear, step-by-step way. The practical projects made everything click and helped me apply what I learned with confidence.

Smiling man with curly hair, beard, round glasses, wearing a brown leather jacket over a green shirt against a plain gray background.

Mr Rick

Manager at Mandole

I never thought I’d grasp advanced AI ideas this easily. The instructor’s teaching style made difficult subjects feel approachable, and the real-world examples kept everything relevant. Practicing alongside the lessons turned abstract theory into skills I can actually use.