Free Machine Learning & AI Course Online: AI Tutor & Certificate
Build predictive models and analyze complex data with this free machine learning course. Over 8 hours and 35 video lessons, you'll master supervised and unsupervised techniques. The program pairs curated videos with an AI tutor, helping you build real applications like fraud detection systems.
What you'll learn in this Machine Learning & AI course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Understand the fundamentals of machine learning and its applications.
Differentiate between supervised and unsupervised learning techniques.
Implement various machine learning algorithms such as linear regression, decision trees, and SVMs.
Apply parameter estimation techniques and understand the bias-variance tradeoff.
Perform feature selection and dimensionality reduction using techniques like PCA and ICA.
Machine Learning & AI course syllabus
01 Introduction To Machine Learning
- What is Machine Learning?
- Why You Should Learn Machine Learning?
- Roadmap To Become ML Expert
- Is Machine Learning Career Worth It?
- How To Use ChatGPT for Machine Learning?
02 Machine Learning Core Elementals
- Difference between Supervised Learning and Statsitical Modelling.
- Difference between Supervised Learning and Unsupervised Learning.
- Data Normalization
- Datasets for Machine Learning
- Different Paradigms of Machine Learning
- Hypothesis Evaluation
03 Supervised Learning Techniques
- Linear Regression.
- Multi linear Regression.
- Logistic Regression
- K-Nearest Neighbours
- Decision Tree
- Random Forest
- Boosting
- SVMs (primal and dual forms)
- Naive Bayes
04 Unsupervised Learning Techniques
- K-Means Clustering
- Hierarchical Clustering
- Gaussian Mixture Modeling
- Apriori Algorithm
- Singular Value Decomposition (SVD).
05 Parameter Estimation
- Bayesian Parameter Estimation
- Bias-Variance Tradeoff
- Maximum Likelihood
- VC-Dimensions and Distribution
06 Feature Selection and Dimensionality Reduction
- Independent Component Analysis
- Linear Discriminant Analysis.
- Principal Component Analysis.
- Principal Component Analysis Implementation python
- Step Backward Feature Selection.
- Step Forward Feature Selection.
Real-world projects you'll work on
Practice the exact kind of work Machine Learning & AI professionals do on the job.
Predictive Customer Segmentation for E-commerce Giant
Fraud Detection System for Leading Financial Institution
Sentiment Analysis for Social Media Analytics Platform
Image Recognition for Autonomous Vehicle Technology Company
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Machine Learning & AI course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Software developers looking to transition into data science and AI engineering roles.
- University students in India wanting practical, project-based artificial intelligence training.
- Data analysts who need to add predictive modeling and machine learning algorithms to their skill set.
- Tech enthusiasts eager to understand how modern AI systems actually work under the hood.
Prerequisites
- No prior machine learning experience is required to start this course.
- Basic programming knowledge, particularly in Python, is highly recommended.
- A fundamental understanding of high school level math and statistics will help you grasp the algorithms.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Machine Learning & AI course: free, structured and job-focused
Design intelligent systems that can predict customer behavior, recognize images, and analyze social media sentiment. This free AI course online teaches you how to implement algorithms like linear regression, decision trees, and SVMs. You'll start with the basics in Introduction To Machine Learning before moving through Machine Learning Core Elementals. From there, the curriculum covers Supervised Learning Techniques and Unsupervised Learning Techniques. You will finish by applying advanced concepts in Parameter Estimation and Feature Selection and Dimensionality Reduction using PCA and ICA.
Practical experience is built directly into the syllabus. You'll complete four hands-on projects to build your portfolio. These include creating a Predictive Customer Segmentation for E-commerce Giant, developing a Fraud Detection System for Leading Financial Institution, building Sentiment Analysis for Social Media Analytics Platform, and programming Image Recognition for Autonomous Vehicle Technology Company. By the end, you'll know how to handle the bias-variance tradeoff and select the right features for your models.
LearnTube makes mastering these skills simple and highly interactive. The platform organizes top YouTube videos into a structured learning path, so you don't have to search for the best tutorials. After every lesson, an AI tutor tests your knowledge with quick quizzes to ensure you actually understand the material. Learning is completely free, and you can choose to add an optional paid certificate at the end to show employers your new artificial intelligence training.
Jobs you can target after learning Machine Learning & AI
Machine Learning & AI is a gateway skill for some of the fastest-growing roles in tech.
Designs and trains predictive models for software applications.
Analyzes large datasets to extract insights and build automated decision systems.
Integrates artificial intelligence capabilities into existing digital products.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a Machine Learning & AI certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Machine Learning & AI course.
Can I take this AI course online using my mobile phone?
Yes. LearnTube is fully optimized for mobile devices so you can learn machine learning wherever you are. The video lessons and AI tutor quizzes work perfectly on smartphones, tablets, and desktop computers.
How long does it take to complete the machine learning classes?
The curriculum includes 35 video lessons totaling about 8 hours of content. Since it is entirely self-paced, most learners finish the modules and projects within one to two weeks of part-time study.
What will I be able to build after finishing this training?
You'll be able to build functional machine learning models. The hands-on projects teach you to create fraud detection systems, program image recognition tools, and build predictive customer segmentation models for e-commerce.
Are artificial intelligence and machine learning skills still in high demand?
Yes, demand is growing rapidly across India and globally. Companies in finance, e-commerce, and healthcare actively seek professionals who can build intelligent systems, making this a highly valuable skill set for your career.
Do I have to pay for the artificial intelligence certification?
Learning the material is completely free, including all 6 modules and the AI tutor quizzes. The official certificate is an optional paid add-on you can purchase after completing the course.
Is this a good AI course for beginners?
Absolutely. The first lesson is literally titled What is Machine Learning? and assumes no prior AI background. You'll start with core elementals before moving into more advanced parameter estimation and dimensionality reduction techniques.
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