Build your machine learning foundation, from Python and data preparation to predictive models, APIs and deployment. Explore a 16-module curriculum with five project topics.
Online India & worldwideClassroom Learn at a branchHybrid Online + classroom
Classroom: Dilsukhnagar, Hyderabad
Online: USA, Canada, UK, Australia, New Zealand and Germany
Ask about your preferred mode, branch and upcoming batch.
5 project topicsPrediction, segmentation and a capstone
3 training modesOnline · Classroom · Hybrid
Talk to LearnAIFees, duration and batch details
Understand the programme
From data to machine learning applications.
LearnAI’s Machine Learning curriculum combines Python programming, statistical and mathematical foundations, data analysis, model building and ML engineering. It covers regression, classification, clustering, model evaluation, optimization and deployment, followed by practical project work.
Your willingness to learn comes first
Who can join?
Build new skills or upgrade your technology knowledge. LearnAI welcomes students pursuing a degree, graduates, working professionals and learners from relevant domains.
Basic computer knowledge
Basic computer knowledge is recommended to help you participate in practical learning.
Students and professionals
Join while pursuing a degree, after graduation, or to develop skills for your relevant domain.
No prior technology knowledge required
You can begin without previous knowledge of the course technology. Bring your interest and willingness to learn.
No age limit
Learners of all ages are welcome. Learners under 18 should enrol with a parent or guardian’s consent.
What the curriculum develops
Skills you will practise.
Work with Python and data
Use Python, NumPy and Pandas to manipulate data and create visualizations.
Prepare model-ready datasets
Explore cleaning, missing values, encoding, scaling and feature engineering.
Build predictive models
Study regression and classification techniques for prediction tasks.
Discover groups and patterns
Explore clustering, customer segmentation and dimensionality reduction.
Evaluate and improve models
Compare metrics, cross-validation, tuning and ensemble methods.
Connect models to applications
Study prediction APIs, deployment, monitoring and introductory MLOps.
The complete learning path
Machine Learning course curriculum.
Explore all 16 modules. Open each module to see its topics, and discuss the delivery plan with LearnAI for your batch.
01 / Python and data foundations
MODULE 01Python Fundamentals
Python Introduction
Variables & Data Types
Operators
Conditions & Loops
Functions
Collections
File Handling
OOP Basics
MODULE 02Python Libraries for Machine Learning
NumPy
Pandas
Matplotlib
Seaborn
DataFrames
Data Manipulation
Data Visualization
Scikit-learn Basics
MODULE 03Statistics & Probability for Machine Learning
Discuss a combination of online and classroom participation at your preferred branch. Confirm how your batch will be delivered.
Fees, duration, prerequisites and upcoming batch dates are available on enquiry.
Learn with professional guidance
Experienced trainers. Practical knowledge.
Working professionalsIndustry knowledge connected to practical learning10+ yearsRelevant professional experience within our core trainer teamExperienced trainersGuidance for concepts, tasks and project work
LearnAI’s core trainer team is supported by additional and part-time trainers. Trainer assignments and relevant experience vary by course, branch, training mode and batch availability. Experience figures refer to professional experience, not years of teaching.
For your batch’s trainer details, contact LearnAI.
Plan your next step
Career directions and learning support.
Roles to explore
The brochure identifies these career directions. Entry requirements depend on the role, employer and your background.
Machine Learning EngineerJunior Data ScientistData AnalystAI / ML DeveloperPredictive Analytics AssociateModel Validation AnalystML Research AssociateMLOps Associate
Discuss career assistance
Ask LearnAI about resume preparation, ATS compatibility, job-description matching, cover letters, interview practice, job discovery and application support. Confirm the available services and what is included with your enrolment.
Enrolled students receive access details for their applicable learning and career assistance applications.
Review the curriculum and ask LearnAI for the current delivery and enrolment details.
What does the LearnAI Machine Learning course cover?
The curriculum contains 16 modules, beginning with Python, statistics and mathematics, then moving through data preparation, regression, classification, clustering, model evaluation, APIs, deployment, MLOps and project work.
Is Python included in the Machine Learning curriculum?
Yes. Python fundamentals and Python libraries for machine learning are the first two modules. Topics include variables, loops, functions, collections, file handling, OOP basics, NumPy, Pandas, visualization and Scikit-learn basics.
Which projects are listed in this course?
The project module lists customer churn prediction, employee attrition prediction, house price prediction, customer segmentation and an end-to-end ML capstone. Confirm project selection, datasets and delivery with LearnAI for your batch.
Can I attend online from outside India?
Yes. LearnAI offers online classes for learners in India and abroad, including the USA, Canada, UK, Australia, New Zealand and Germany. Ask about Machine Learning batch availability and time-zone scheduling.
Where can I attend classroom or hybrid training?
LearnAI is in Dilsukhnagar, Hyderabad. Confirm Machine Learning course availability, delivery mode and the exact address before visiting.
What are the course fees, duration and prerequisites?
Contact LearnAI on WhatsApp at +91 93900 23585 for the current fees, duration, prerequisites and batch schedule. Share your existing Python or mathematics experience so the team can discuss your starting point.
What career assistance can I ask about?
Discuss resume preparation, job-description matching, interview practice, job discovery and application assistance with LearnAI. Confirm which services are currently available and included with your enrolment.
Let’s discuss your learning goals
Ready to explore Machine Learning?
Share your background, preferred training mode, branch or country, and time zone. LearnAI can help you review the current programme details.
