Best Free Machine Learning Courses on Great Learning [With Certificates]
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Machine Learning (ML) is one of the most in-demand skills in today’s tech world. Whether you’re a student, fresher, or working professional, upgrading your skills with Machine Learning courses can boost your career significantly.
If you’re looking for 100% free ML courses with certificates, Great Learning offers some of the best beginner-friendly and intermediate-level programs — and they’re completely free!
🎮 Introduction
In today’s data-driven world, Machine Learning (ML) stands at the forefront of technological innovation. From personalized recommendations on streaming platforms to fraud detection in banking, ML algorithms are revolutionizing industries. As the demand for ML professionals surges, acquiring skills in this domain has become imperative. Fortunately, numerous platforms offer free ML courses, complete with certifications, to help learners embark on this transformative journey.
📘 What is a Machine Learning Course?
A Machine Learning course is a structured program designed to teach the principles and applications of ML algorithms. These courses cover a range of topics, from foundational concepts like supervised and unsupervised learning to advanced areas such as deep learning and reinforcement learning. Typically, they include theoretical lessons, practical exercises, and projects to provide hands-on experience. Upon completion, learners often receive a certificate, validating their proficiency in the subject.
🚀 What You’ll Learn in These Free Machine Learning Courses
Free ML courses offer comprehensive content tailored to equip learners with both theoretical knowledge and practical skills. Here’s an overview of what you can expect:
Fundamentals of Machine Learning: Understanding the basics, including types of learning (supervised, unsupervised, reinforcement), and key algorithms.
Data Preprocessing: Techniques for cleaning and preparing data for analysis.
Model Building and Evaluation: Steps to create ML models and assess their performance using metrics like accuracy, precision, and recall.
Advanced Topics: Exploration of deep learning, neural networks, and natural language processing.
Practical Applications: Real-world projects and case studies to apply learned concepts.
🚀 Why Learn Machine Learning?
ML is at the core of AI, Data Science, Robotics, and Automation
High-paying jobs in tech, healthcare, finance, and more
Build smart systems, recommendation engines, chatbots, and more
Start from scratch — no prior coding required in some courses
🎓 Top Free Machine Learning Courses on Great Learning
Here’s a quick summary of free ML courses with certification:
- Basics of Machine Learning – Enroll for Free
- Machine Learning with Python
Enroll for Free - Data Visualization using Python
Enroll for Free - Python Projects
Enroll for Free - Analytics with SQL and Python
Enroll for Free - Machine Learning Algorithms
Enroll for Free - Analytics on SAS
Enroll for Free - Supervised Machine Learning with Logistic Regression and Naïve Bayes
Enroll for Free - Python Pandas
Enroll for Free - Probability and Probability Distributions for Machine Learning
Enroll for Free - Excel Regression Analysis
Enroll for Free - NumPy Tutorial
Enroll for Free - Google Colab Python
Enroll for Free - Basics of EDA with Python
Enroll for Free - Python Matplotlib
Enroll for Free - Unsupervised Machine Learning with K-means
Enroll for Free - Introduction to Descriptive Statistics
Enroll for Free - Supervised Machine Learning with Tree Based Models
Enroll for Free - Machine Learning Model Deployment using Flask
Enroll for Free - Python Libraries for Machine Learning
Enroll for Free - Prediction Project Using Python
Enroll for Free - Python Project Ideas
Enroll for Free - Linear Regression
Enroll for Free - Python Seaborn
Enroll for Free - Data Preparation for Machine Learning
Enroll for Free - Inferential Statistics
Enroll for Free - Machine Learning Modelling
Enroll for Free - Application of Machine Learning in Finance
Enroll for Free - Machine Learning Pipeline
Enroll for Free - Machine Learning Landscape
Enroll for Free - SciPy in Python
Enroll for Free - Decision Tree
Enroll for Free - Predictive Analytics
Enroll for Free - Mathematics for Machine Learning
Enroll for Free - Logistic Regression on Customer Data
Enroll for Free - Artificial Intelligence and Machine Learning Projects
Enroll for Free - Spyder Python
Enroll for Free - KNN Algorithm
Enroll for Free - Support Vector Machines
Enroll for Free - Machine Learning Projects
Enroll for Free - Machine Learning with Python Quiz
Enroll for Free - IPL Winner Prediction using Machine Learning
Enroll for Free - Random Forest
Enroll for Free - Introduction to Supervised Learning
Enroll for Free - Probability and Normal Distribution
Enroll for Free - Multiple Variate Analysis
Enroll for Free - Hierarchical Clustering
Enroll for Free - Supervised Machine Learning Tutorial
Enroll for Free - Bagging and Boosting
Enroll for Free - Outlier Detection
Enroll for Free - Exploratory Data Analysis Projects
Enroll for Free - Plotly Python
Enroll for Free - Sensitivity Analysis
Enroll for Free - Importance of Statistics in Machine Learning
Enroll for Free - Frequency Distribution
Enroll for Free - Model Deployment in R
Enroll for Free - Random Forest Regression
Enroll for Free - MLOps Fundamentals
Enroll for Free - Application of Classification Algorithms
Enroll for Free - Python IDEs for Machine Learning
Enroll for Free - Stochastic Gradient Descent – Enroll for Free
- Bias Variance Tradeoff – Enroll for Free
- ML Model Deployment Course – Enroll for Free
- Basics of Unsupervised Machine Learning – Enroll for Free
- Introduction to Streamlit – Enroll for Free
- Predicting Fleet Failure in Car Rental Company – Enroll for Free
- Introduction to XGBoost – Enroll for Free
- Getting Started with Dataiku – Enroll for Free
- Getting Started with RapidMiner – Enroll for Free
💡 What Will You Learn?
Basics of supervised and unsupervised learning
How to build ML models using Python
Real-life ML applications
Understanding algorithms like Linear Regression, KNN, Decision Trees
Working on hands-on projects with datasets
👥 Who Can Join?
These courses are ideal for:
Students from any stream
Freshers preparing for placements
Data science and AI aspirants
Working professionals exploring upskilling options
💼 Benefits of Taking These Machine Learning Courses
Engaging in these courses offers numerous benefits:
Skill Development: Acquire in-demand skills applicable across various industries.
Career Advancement: Enhance your qualifications, opening doors to new job opportunities.
Practical Experience: Work on real-world projects, building a portfolio to showcase to potential employers.
Networking Opportunities: Connect with peers and professionals in the ML community.
🧠 Tips to Learn These Machine Learning Courses Effectively
To maximize your learning experience:
Set Clear Goals: Define what you aim to achieve by taking the course.
Stay Consistent: Allocate regular time slots for studying to maintain momentum.
Engage Actively: Participate in discussions, quizzes, and assignments to reinforce learning.
Seek Clarifications: Don’t hesitate to ask questions or seek help when concepts are unclear.
Apply Learnings: Implement the knowledge gained in real-life scenarios.
💼 Career Opportunities After Completing Machine Learning Courses
Completing these courses can pave the way for various opportunities:
Machine Learning Engineer: Develop and deploy ML models in production environments.
Data Scientist: Analyze complex data to derive actionable insights.
AI Researcher: Conduct research to advance the field of artificial intelligence.
Business Intelligence Analyst: Use ML techniques to inform business strategies.
Software Developer: Integrate ML algorithms into applications and services.
📜 How to Get the Free Certificate
Obtaining a certificate from Great Learning involves:
Enrollment: Sign up for the desired course on the Great Learning platform.
Course Completion: Go through all modules and complete the necessary assessments.
Assessment: Pass the final quiz or project to demonstrate your understanding.
Certification: Download your certificate upon successful completion.
🏅 Why Choose Great Learning?
100% Free lifetime access
Certificate of Completion
Courses created by industry experts
Self-paced, short video modules
Trusted by millions of learners globally
📌 Final Thoughts
The future belongs to those who understand how to build and apply intelligent systems. Whether you’re just starting or want to sharpen your ML skills, these free Machine Learning courses on Great Learning are your stepping stone to success.
👉 Start Learning Now on Great Learning
❓FAQ – Machine Learning Courses (Free)
Q1: Are Great Learning’s Machine Learning courses free?
Yes, all listed courses are free and offer a certificate of completion.
Q2: Do I need prior experience in coding or math?
Some courses require basic Python knowledge, while others are beginner-friendly with no prerequisites.
Q3: Will I get a certificate?
Yes, Great Learning provides a free course completion certificate for every course.