BeginnerMachine Learning8 weeks

Certificate IncludedCertificate EligibleVerified Learning Credential

Machine Learning: Beginner

Go from zero to your first trained model: Python, core ML algorithms, model evaluation, and a Generative AI explanation feature.

Modules

Lessons

Beginner

Level

Included

Certificate

What you'll learn

Write clean, working Python code for machine learning workflows

Use NumPy and Pandas to clean, transform, and prepare data for modelling

Understand the statistics, probability, and linear algebra intuition behind how models learn

Build regression and classification models including logistic regression, KNN, and SVMs

Build decision trees, random forests, and an introduction to gradient boosting

Apply K Means clustering and PCA for dimensionality reduction

Evaluate models properly using cross validation, accuracy, precision, recall, and F1

Apply feature engineering and hyperparameter tuning to improve model performance

Deploy a trained machine learning model as a live web app using Streamlit

Use Generative AI and prompt engineering to explain models and accelerate ML work

Skills you'll gain

Machine LearningPython for Machine LearningScikit learnNumPyPandasSupervised LearningUnsupervised LearningRegressionClassificationDecision TreesRandom ForestClusteringFeature EngineeringModel EvaluationGradient DescentGenerative AIStreamlitBeginner Machine Learning

This course includes

Live mentor led Ucanly sessions plus self paced recorded content

On demand video lectures with downloadable source code for every lesson

Real world mini projects and one capstone project

Guided GitHub portfolio setup for placements and internships

Lifetime access to course materials and future updates

Certificate of Completion from Ucanly

Course content

8 modules · 47 lessons

Machine learning foundations, Python for ML, data preparation, maths and statistics behind ML, supervised learning, trees and unsupervised learning, model evaluation and deployment, and a capstone ML application with a Generative AI explanation feature.

Requirements

A computer (Windows, macOS, or Linux) with a reliable internet connection
No prior coding or statistics background required, basic school level maths is enough
Basic comfort using a computer and browsing the internet
Curiosity, consistency, and a willingness to build things by doing

Who this course is for

College students and freshers aiming for a career in machine learning or AI
Absolute beginners who want a clear, guided path into machine learning
Non CS graduates looking to switch into ML focused tech roles
Working professionals wanting to add practical ML skills to their toolkit
Anyone preparing for machine learning internships and entry level placements

About this course

Kickstart your journey into machine learning with this beginner friendly program from Ucanly. Built for complete newcomers with no coding or statistics background, this course takes you from writing your first line of Python to training, evaluating, and deploying a real machine learning model, with mentor guidance at every step. You will learn Python, NumPy, and Pandas, the statistics and linear algebra intuition behind ML, and build regression, classification, decision tree, ensemble, and clustering models with Scikit learn. You will also learn how Generative AI and LLMs work and how to use prompt engineering to explain models and accelerate your workflow. By the end, you will have a complete machine learning application with a trained, evaluated model and a Generative AI powered explanation feature, deployed live under Ucanly mentor guidance.

Earn a verified certificate

Complete this course to earn a verified Ucanly certificate you can add to your profile, share on LinkedIn, and showcase to employers as proof of the skills you've built.

Certificate IncludedCertificate EligibleVerified Learning Credential

Frequently asked questions

No, this course starts from absolute zero. Basic school level maths is enough, and we teach all the Python and maths intuition you need along the way.

Yes, you will build and train several models throughout the course, and your capstone project is a complete ML application with a trained, evaluated model and a Generative AI explanation feature, deployed live.

Yes, you will learn how LLMs work and use prompt engineering to explain your models and accelerate your machine learning workflow.

Yes, you will receive a Certificate of Completion from Ucanly once you finish the course.

Machine Learning: Beginner

What you'll learn

Skills you'll gain

This course includes

Course content

Module 1: Getting Started with Machine Learning

Module 2: Python Programming for Machine Learning

Module 3: Working with Data, the Fuel of Every Model

Module 4: Maths and Statistics Behind Machine Learning

Module 5: Supervised Learning, Regression and Classification

Module 6: Trees, Ensembles and Unsupervised Learning

Module 7: Evaluation, Improvement and Deployment

Module 8: Ucanly Capstone, Generative AI and Your First ML Product

Requirements

Who this course is for

About this course

Earn a verified certificate

Frequently asked questions