Diploma in Artificial Intelligence and Machine Learning
Mangalayatan Online's Diploma in Artificial Intelligence and Machine Learning provides students with comprehensive understanding of AI and ML principles, techniques, and applications. This program equips learners with essential programming skills, technical competencies, and project-based learning experience. Students will master data management, programming languages like C, C++, and Python, along with machine learning frameworks and cloud computing fundamentals to prepare for emerging technology careers.
Instructors:
Kulsoom Siddiqui
Dr. Niyati Sharma
English
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Course Start Date:
Starting Soon
Application Deadline:
Closing Soon
Duration:
1 Year
₹ 21,000
Overview
The Diploma in Artificial Intelligence and Machine Learning from Mangalayatan Online is a comprehensive one-year program designed to provide students with foundational knowledge in AI and ML technologies. The curriculum covers essential programming languages including C, C++, and Python, along with practical applications in data structures, machine learning algorithms, IoT, and cloud computing. Students gain hands-on experience through lab sessions and project-based learning, preparing them for entry-level positions in the technology sector.
Why Technology & Analytics?
This diploma program offers an excellent opportunity for students to enter the rapidly growing field of artificial intelligence and machine learning. With a focus on practical skills development and industry-relevant curriculum, students learn from experienced faculty and gain competencies that are highly valued in today's job market. The program's affordable fee structure and flexible online format make advanced technology education accessible to a wider audience.
What does this course have to offer?
Key Highlights
Comprehensive curriculum covering AI and ML fundamentals
Hands-on training with lab sessions
Project-based learning approach
Affordable fee structure at ₹21,000 total
UGC entitled and AICTE accredited
Flexible online learning format
Experienced faculty with industry expertise
Who is this programme for?
Students who have completed 10+2 education
Aspiring technology professionals
Individuals interested in AI and machine learning
Career changers looking to enter tech industry
Students seeking affordable diploma programs
Minimum Eligibility
Completed 10+2 education from recognized board
45% aggregate in Higher Secondary
Who is the programme for?
The program spans one year divided into two semesters. Students must complete 40 credits to receive the diploma degree. The curriculum is structured to build foundational knowledge in the first semester and advance to specialized topics in the second semester. Assessment includes coursework, lab assignments, and examinations with a minimum requirement of 40% marks.
Selection process
How to apply?
Curriculum
The curriculum encompasses essential subjects including programming fundamentals, data structures, software engineering, machine learning, IoT, and cloud computing. Students progress through systematic learning modules that combine theoretical concepts with practical applications. The program emphasizes hands-on experience through dedicated lab sessions for programming languages and machine learning implementations.
There are 2 semesters in this course
The diploma program is divided into two semesters. Semester 1 covers foundational topics including Management Information System, Problem Solving Using C, Mathematics, Financial Accounting, English Communication, and Computer Fundamentals with practical lab sessions. Semester 2 advances to System Analysis and Design, C++ and Data Structures, Software Engineering, IoT and Cloud Computing, and Machine Learning using Python with corresponding lab components. Each semester integrates theoretical learning with practical laboratory work to ensure comprehensive skill development.
Semester 1
Semester 2
Programme Length
The program duration is one year, structured across two semesters. Students follow a systematic learning path with defined coursework and assessment schedules for each semester.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Kulsoom Siddiqui
Assistant Professor
MBA, Ph. D in Management
Dr. Niyati Sharma
Assistant Professor
Tuition Fee
The total program fee is ₹21,000 including all charges. This comprises ₹9,000 per semester as course fee, ₹1,000 per semester as exam fee, ₹20,000 as annual fee, and a one-time registration fee of ₹1,000. The fee structure is designed to be affordable and includes all necessary components for program completion.
Fee Structure
Payment options
Financial Aid
Learning Experience
Students experience flexible online learning with access to recorded lectures, digital learning materials, and interactive lab sessions. The program combines self-paced learning with structured curriculum delivery, allowing students to balance their studies with other commitments. The university provides comprehensive student support throughout the program duration.
University Experience
Mangalayatan University, established in 2006, offers NAAC A+ graded, UGC entitled, and AICTE accredited programs. The university is committed to quality education and academic excellence with a strong focus on research and innovation. Students benefit from the university's extensive experience in higher education and its dedication to nurturing future leaders in technology and business fields.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Mangalayatan University is a private university established in 2006 in Aligarh, Uttar Pradesh. Located on a 70-acre campus 20km from the Yamuna Expressway, the university offers undergraduate, postgraduate, and doctoral programs across multiple disciplines including Engineering, Business, Law, Pharmacy, and Liberal Arts14. The institution has graduated over 7,000 students and currently hosts approximately 3,500 students from India and abroad.
#1201-1400
QS World Ranking 2024
#6937
EduRank Global
#441
EduRank India
Affiliation & Recognition
UGC
AICTE
NAAC
BCI
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Kulsoom Siddiqui
Assistant Professor
MBA, Ph. D in Management
Dr. Niyati Sharma
Assistant Professor
Career services
The university maintains a dedicated Training and Placement (T&P) Cell located in the SARAYU block, led by Director Er. T.S. Rajput and Training and Placement Officer Mr. Love Mittal. The cell provides comprehensive career development support including placement assistance, internships, and industry exposure. Services include resume building workshops, mock interviews, career counseling, and industry interaction sessions. The placement team works year-round to build industry relationships and facilitate student placements through on-campus and off-campus recruitment drives.
1000+
Total Placement Opportunities
500+
Number of Recruiters
10 LPA
Highest Package 2023
Top Recruiters
Course Start Date:
Starting Soon
Application Deadline:
Closing Soon
Duration:
1 Year
₹ 21,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.