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BeginnerMachine Learning8 weeks
Certificate IncludedCertificate EligibleUcanly certificate

Machine Learning: Beginner

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

Duration
8 weeks
Level
Beginner
Content
47 lessons
8 modules · 13 h 55 min
Certificate
Included
On completion
Access
Fee by email
Or take the free aptitude test

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

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

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 · 13 h 55 min

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

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 Ucanly certificate

Complete this course to earn a Ucanly certificate with its own page and QR code. Save it as a PDF, share its link, or add it to the certifications on your LinkedIn profile.

Certificate IncludedCertificate EligibleUcanly certificate

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.