MSBTE K-Scheme Syllabus for AI
And Machine Learning Diploma
The Maharashtra State Board
of Technical Education (MSBTE) has introduced the K-Scheme Syllabus for AI
And Machine Learning Diploma Course. This revised MSBTE K-Scheme AI And
Machine Learning Syllabus is designed to be industry-focused and
aligned with latest technology trends to enhance student employability.
The AI And Machine Learning Diploma K-Scheme consists of 6 semesters,
each covering essential subjects to develop core technical skills.
MSBTE AI And Machine Learning
First Semester Syllabus (AN1K)
Download the AI And Machine Learning First Semester
Syllabus PDF using the link below.
|
Sr. |
Subject Names and Codes |
|
|
1. |
|
|
|
2. |
|
|
|
3. |
|
|
|
4. |
|
|
|
5. |
|
|
|
6. |
|
|
|
7. |
|
MSBTE AI And Machine Learning
Second Semester Syllabus (AN2K)
Download the AI And Machine Learning Second Semester
Syllabus PDF using the link below.
|
Sr. |
Subject Names and Codes |
|
|
1. |
|
|
|
2. |
|
|
|
3. |
|
|
|
4. |
|
|
|
5. |
|
|
|
6. |
|
|
|
7. |
|
MSBTE AI And Machine Learning
Third Semester Syllabus (AN3K)
Download the AI And Machine Learning Third
Semester Syllabus PDF using the link below.
|
Sr. |
Subject Names and Codes |
|
|
1. |
|
|
|
2. |
|
|
|
3. |
|
|
|
4. |
|
|
|
5. |
|
|
|
6. |
|
MSBTE AI And Machine Learning
Fourth Semester Syllabus (AN4K)
Download the AI And Machine Learning Fourth
Semester Syllabus PDF using the link below.
|
Sr. |
Subject Names and Codes |
|
|
1. |
|
|
|
2. |
|
|
|
3. |
|
|
|
4. |
|
|
|
5. |
|
|
|
6. |
|
MSBTE AI And Machine Learning
Fifth Semester Syllabus (AN5K)
Download the AI And Machine Learning Fifth Semester
Syllabus PDF using the link below.
|
Sr. |
Subject Names and Codes |
|
|
1. |
|
|
|
2. |
|
|
|
3. |
|
|
|
4. |
|
|
|
5. |
|
|
|
6. |
|
|
|
7. |
|
|
|
8. |
|
MSBTE AI And Machine Learning Sixth
Semester Syllabus (AN6K)
Download the AI And Machine Learning Sixth Semester
Syllabus PDF using the link below.
|
Sr. |
Subject Names and Codes |
|
|
1. |
|
|
|
2. |
|
|
|
3. |
|
|
|
4. |
|
|
|
5. |
|
|
|
6. |
|
|
|
7. |
|
|
|
8. |
|
In addition to core subjects, students enrolled in the MSBTE
K-Scheme AI And Machine Learning Diploma will have the option to choose electives
based on their interests and career goals. The availability of elective
subjects may vary across different colleges and institutes.
If you’re studying the AI & Machine Learning (AI/ML) diploma under Maharashtra State Board of Technical Education (MSBTE), having the official K-Scheme syllabus PDF is your first step toward structured, effective learning. The syllabus acts as your academic roadmap — clearly outlining which subjects you study each semester, how theory and practical hours are split, what the internal and final assessments will cover, and what learning outcomes (CO/LO) you are expected to achieve.
On this page, you’ll find a clean, up-to-date, and easy-to-download collection of K-Scheme syllabus PDFs for all semesters of the AI & Machine Learning diploma — making preparation smoother, smarter, and more aligned with official curriculum standards.
🧠Why the AI/ML K-Scheme Syllabus is Essential
AI and Machine Learning are fields driven by logic, algorithms, data analysis, programming, and practical application. The syllabus isn’t just a list of subjects — it’s a carefully planned sequence of modules designed to build foundational knowledge, skills, and advanced understanding in a structured way.
With the official syllabus PDF, you’ll have clarity on:
What courses you’ll study each semester
How theory and lab/practical hours are distributed
Internal assessment schemes vs final exam patterns
Which programming, mathematics, statistics, and ML topics you’ll cover
What outcomes and competencies you should achieve by the end of each subject
How overall credits and marks are allotted
This clarity helps you plan semester-wise study, manage time efficiently, and ensure you cover all important topics — whether coding, data science fundamentals, or ML algorithms.
📘 Semester-Wise Syllabus — All Courses Covered
This page presents K-Scheme syllabus PDFs for every semester of the AI & ML diploma — from first semester fundamentals to advanced AI, machine learning, data analytics, and specialization modules (if applicable).
Each syllabus PDF is clearly labelled with:
Semester number
Subject Code and Subject Name
Theory hours, Practical hours, Credits
Internal & Final Exam structure
Learning Outcomes / Course Outcomes
So you never download or refer to the wrong version by mistake.
⚡ How This Syllabus Helps You Study Smart & Stay Ahead
With the correct syllabus in hand:
You can plan and prioritise subjects efficiently
You can prepare for both theoretical and practical parts well in advance
You stay aligned with what MSBTE expects (no outdated or unofficial content)
You track learning outcomes and understand skill expectations per subject
You manage assignments, projects, labs, and revision with clarity
For demanding courses like AI & ML — where programming, maths, algorithms, and data logic intersect — this clarity is not optional, it’s essential.
🔄 Updated with Every MSBTE Revision — Always Accurate
MSBTE occasionally revises course content, subjects, or credit structure. This page is updated accordingly, so you always get the latest official K-Scheme syllabus PDF. No outdated PDFs. No confusion. Just accurate, verified, and exam-ready syllabus files.
🌟 Your Complete AI & ML Diploma Resource Hub
At MSBTE Solutions, we don’t just stop at syllabus PDFs. We aim to provide everything you need: syllabus PDFs, model answer papers, lab manuals, question banks, project materials, exam updates, and more — all in one premium, student-friendly hub.
Whether you’re starting semester 1 or entering advanced machine-learning modules, this page helps you stay organised, focused, and ready for success.
Social Plugin