Learning Through
Real-World Projects
3 Major Project
2 Individual Projects | 1 Team-Based Project
15+ Mini Projects
For Continuous Hands-On Practice
2067+ Students placed
₹40K/month Avg Salary
Become a Job-Ready AI & Machine Learning Engineer
Master Python, Machine Learning, Deep Learning, and MLOps through hands-on projects and real-world datasets — and build industry-ready AI solutions from data to deployment.
Limited seats available!
Course Highlights
Live Projects With Real-World Datasets
Offline & Online
Beginner to Advanced level coverage
For students and working professionals
100% Placement Assisstance
What You Will Learn
On successful completion, learners gain industry-ready skills in Machine Learning, Artificial Intelligence, Big Data, Agentic AI, and Cloud, equivalent to 2–3 years of hands-on experience.
Python, DSA & math foundations for ML-
Statistics & probability for data-driven decisions
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SQL & data management for ML workflows
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Supervised & unsupervised ML algorithms
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Model evaluation & performance tuning
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NLP, Generative AI & Agentic AI systems
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Big Data & scalable ML with Spark & Cloud
What Makes This Program Different
Beyond core MERN stack training, the program includes advanced, industry-relevant topics:
Recorded courses
Other live courses
Brototype Program
End-to-End Career & Placement Support
One-on-One Technical Mentorship
Weekly Expert Skill Assessments
Lifetime alumni community access
Real-world projects reviewed by experts
Workplace & Interview Skills
Industry-ready, updated curriculum
Career-Focused
Learning Benefits
BRO Learning Method
Brototype Research and Outcome Oriented Learning Method
Communication & Soft-Skills
Daily 1-hour sessions to build effective english communication and workplace skills.
Weekly Module Exams By Experts
Module-wise evaluations conducted by an industry expert with 3+ years of experience.
Tech Mentor & Tech Support
Clear your doubts and get technical assistance whenever you need it.
Alumni & Community
Access to a strong alumni network of 2,200+ professionals across multiple domains, with monthly alumni interaction sessions.
View all Alumni
Dedicated Career Support
Career support is deeply integrated to help learners transition into MERN stack development roles.
1-to-1 Placement Officer
Resume Preparation & Guidance
CEO & CTO Interaction Sessions
Hirathon (Hiring Hackathon)
Post-Placement Support
Program Structure
The program is divided into clear phases for progressive learning.
Stage 1
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Core technical basics
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Domain discussions
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Tech interaction session
Stage 2
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Complete ML/AI training from fundamentals to advanced concepts
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Hands-on learning with continuous expert assessment
What Companies Say About Our Graduates
Hear from companies that have hired Brototype graduates and experienced their skills firsthand.
Sagar Vishwanath
General Manager at GoStops
Dr Saheer Nelliparamban
Mr Shahil
Project Manager at Zil Money Operations
Explore Our Detailed Curriculum!
Understand the in depth concepts and tools you will learn throughout the program.
Take The First Step
Share your details and our team will guide you through the program and next steps.
Take The First Step
Share your details and our team will guide you through the program and next steps.
Frequently Asked Questions (FAQ)
Here are some of the most common questions we get from students. If you don't find what you're looking for, feel free to reach out.
Do I need prior programming experience to join this course?
No prior programming experience is required. The course starts with Python programming, mathematics, and data fundamentals, and gradually advances to data analysis, machine learning, and real-world ML/AI applications, making it suitable for beginners.
Is this course beginner-friendly?
Yes. The program follows a structured, step-by-step learning approach, starting from core concepts and progressing to industry-oriented ML/AI and machine learning projects.
Will I work on real projects during the course?
Yes. Learners will work on hands-on exercises, mini projects, real-world datasets, and an end-to-end capstone project covering data analysis, machine learning, and deployment.
Will I receive a certificate after completing the course?
Yes. A ML/AI course completion certificate will be awarded to learners who successfully complete the program and required projects.
Can I attend this course while studying or working?
Yes. The course is designed to accommodate students and working professionals, offering flexible learning schedules and support.
Who can join the ML/AI course?
This course is suitable for: Students and fresh graduates, Job seekers aiming for Data Scientist, ML Engineer roles or AI Engineer, Working professionals planning a career transition into data and AI, Non-IT candidates interested in data-driven and analytical careers
What modes of learning are available?
The course is available in both Online and Offline modes, allowing learners to choose the format that best fits their schedule and learning preferences.
Is placement or career support provided?
Yes. Dedicated career support is provided, including: Resume and LinkedIn profile preparation, Portfolio and GitHub project guidance, Mock interviews and technical assessments, Career mentoring and job readiness sessions. <i>Career support is subject to performance and eligibility criteria.</i>
How long is the ML/AI course?
The duration of the course is 12 months, including training, hands-on projects, evaluations, and capstone development.
How can I apply for the course?
You can apply by filling out the Apply Now form on this page. Our team will contact you with further details and next steps.
Thank you! Our career expert will contact you soon.