AI & Machine Learning Courses

for Future Tech Careers

About the Department of
AI and Machine Learning

Build a future-ready career with industry-focused AI & Machine Learning courses at Mohan Babu University. Explore B.Tech in AI & Machine Learning as well as Data Science and M.Tech programs designed to equip students with the skills required for the next generation of intelligent technologies.

With industry-aligned learning, IBM collaboration, hands-on projects, modern laboratories, and practical exposure to emerging technologies, MBU prepares students to thrive in an AI-driven world.

Whether pursuing a B.Tech in AI and Machine Learning or advanced postgraduate studies, students benefit from an ecosystem that encourages innovation, research, entrepreneurship, and problem-solving. The programmes are designed to help learners build expertise in AI, machine learning, data science, and intelligent computing technologies.

Foreword

The Department of Artificial Intelligence and Machine Learning at Mohan Babu University is dedicated to developing skilled professionals and researchers in intelligent technologies. The department offers undergraduate, postgraduate, and doctoral programs – AI & Machine Learning courses – that combine strong computing fundamentals with advanced concepts in Artificial Intelligence, Machine Learning, Data Science, and emerging technologies.

Students benefit from a learning environment that emphasizes innovation, practical application, research, and industry engagement. Through workshops, hackathons, projects, seminars, and collaborative learning opportunities, MBU helps students develop the technical and problem-solving skills required for successful careers in the AI ecosystem.

Today, MBU is emerging as one of the top universities for Artificial Intelligence in India, offering students access to industry-relevant learning experiences and future-focused programs.

Message from Head of Department

Embracing the Future: Harnessing the Power of Artificial Intelligence and Machine Learning

As we navigate through the ever-evolving landscape of technology, it is crucial for us to stay at the forefront of innovation. I would like to emphasize the significance of Artificial Intelligence (AI) and Machine Learning (ML) in shaping your future and the world as well.

AI and ML have become integral components of modern business strategies, offering unprecedented opportunities for growth, efficiency, and excellence. By leveraging the capabilities of these technologies, we can enhance our decision-making processes, automate routine tasks, and unlock new insights from the vast amounts of data at our disposal.

As the prospective engineers in this field, it is our responsibility to embrace these transformative technologies and explore their potential applications within our domain. The possibilities are vast, ranging from optimizing internal processes and workflows to delivering more personalized and efficient services to our clients.

In this regard, Herewith we endeavor to tread a path in the following initiatives.

Educational Initiatives: Involve ourselves in training programs and workshops to empower ourselves with the knowledge and skills required to work with AI and ML technologies.

Collaboration: Foster interdisciplinary collaboration within our department and encourage cross-functional teams to work on AI and ML projects. Diverse perspectives can lead to innovative solutions across domains.

Capstone Projects: Identify specific use cases within our operations where AI and ML can make a meaningful impact. Initiate and undertake Capstone projects to test the feasibility and potential benefits of these technologies.

Continuous Learning: The field of AI and ML is dynamic and rapidly evolving. It is encouraged to involve in a culture of continuous learning, where students are encouraged to stay updated on the latest advancements.

By embracing AI and ML, we not only position ourselves as innovators but also future-proof ourselves against the challenges of tomorrow. Let us start on this journey together, fostering a culture of curiosity, collaboration, and excellence.

Dr. K. Reddy Madhavi

E-Mail: head-aiml@mbu.asia

AI & ML Courses Offered at MBU

At leading artificial intelligence engineering universities like MBU, students can choose from multiple AI & Machine Learning courses designed to build expertise in AI, machine learning, data science, and intelligent systems.

UG Courses
PG Courses

Why Choose MBU for AI & Machine Learning?

Collaboration with Industry Leaders

MBU's collaboration with industry leaders like IBM helps bridge the gap between academics and industry by exposing students to contemporary technologies, industry practices, and evolving technology trends.

Industry-Aligned Curriculum

The curriculum is designed to balance theoretical knowledge with practical application, ensuring students develop the technical, analytical, and problem-solving capabilities sought by employers.

Practical Learning Environment

Students gain hands-on experience through laboratory sessions, coding competitions, workshops, seminars, hackathons, industry visits, and capstone projects that strengthen their understanding of real-world AI applications.

Experienced Faculty

Faculty members bring academic expertise, research exposure, and industry insights into the classroom, helping students build strong foundations in Artificial Intelligence and Machine Learning.

Placement & Career Support

Students benefit from career development initiatives, internship opportunities, technical training, and placement preparation programs designed to enhance industry readiness.

Certifications & Internships

Students have opportunities to pursue internships and globally recognised certifications in technologies and platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), Salesforce, and other industry-relevant domains.

Industry Collaborated Programs

The IBM Centre of Excellence plays a crucial role in driving innovation, expertise, and collaboration within a specific domain, leveraging the capabilities of IBM’s technology portfolio. It serves as a hub for research, development, and knowledge dissemination to benefit both the organization hosting the Centre of Excellence (CoE) and the broader community. The primary goal is to foster excellence in a particular area, utilizing IBM’s products, services, and technologies. 

The key aspects and functions associated with an IBM Centre of Excellence is to explore and innovate in areas related to IBM offerings, and to develop new applications, solutions, and approaches using IBM technologies. 

Collaborative program with IBM is started at Mohan Babu University in 2022. The Department of AI & ML conducts Workshops on every semester and also organizes training on the curriculum prescribed by the IBM for the students registered for IBM collaborative program.

Key Highlights

One of the top universities for artificial intelligence in India, the curriculum for MBU’s Artificial Intelligence and machine learning courses is designed to align with industry requirements and technological advancements while building strong computing foundations.

Students gain expertise in:

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Data Science
  • Natural Language Processing (NLP)
  • Computer Vision
  • Data Analytics
  • Cloud Computing
  • Data Structures & Algorithms
  • Database Management Systems

Students may explore advanced topics such as:

  • Generative AI
  • Reinforcement Learning
  • Explainable AI
  • Edge AI
  • Big Data Analytics
  • Robotics & Intelligent Systems
  • Internet of Things (IoT)

Project-based learning is integrated throughout the program. Students apply classroom concepts through laboratory work, mini-projects, hackathons, coding competitions, and industry-oriented capstone projects that address real-world challenges.

One of the top universities for artificial intelligence in India, the curriculum for MBU's Artificial Intelligence and machine learning courses is designed to align with industry requirements and technological advancements while building strong computing foundations.


Workshops & Hackathons :
Students are encouraged to participate in workshops, seminars, innovation challenges, coding competitions, and hackathons that strengthen technical capabilities and foster creativity.


Industry Visits & Expert Sessions :
Industry interactions expose students to emerging technologies, business challenges, and professional expectations, helping bridge the gap between classroom learning and industry requirements.


Focus on Innovation : The department encourages participation in research initiatives and innovation activities that promote experimentation, knowledge creation, and technological advancement.

The curriculum is continuously aligned with evolving industry trends, helping students stay current with emerging technologies and workplace requirements.

The Data Analytics Research Center, Mohan Babu University, was started for the benefit of UG, PG students, Research scholars and faculty members. The Centre motivates the research activity in the fields of cloud computing and data science. The center is well-equipped to create innovative solutions that influence the lives of people in positive ways. The center build systems and algorithms to extract knowledge, find patterns, generate insights, predict and visualize diverse data for healthcare and agricultural applications through cloud based services such as Meghdoot cloud by C-DAC, Chennai. It is equipped with Data Analytics and cloud computing software such as Python, R Studio, Weka, Spark, Hadoop, RapidMiner, MATLAB and Meghdoot cloud.

The Center for Computer Networks and Cyber Security at Mohan Babu University was established to empower the students and faculty to gain practical experience on current cyber security solutions and technologies. The major areas of research are IoT security, Cyber Physical System Security, Computer network security, Network monitoring and forensics, Vulnerability remediation and Assurance, Cloud computing and Software defined Networks.

The faculty has published 46 papers in peer reviewed journals, presented 75 papers in international conferences and 15 books and book chapters. Filed 20 patents and 02 patents were granted.

The department has conducted International Conferences on Data Analytics, Smart Computing and Networks during 2022 and 2023 respectively.

Research

The Data Analytics Research Center, Mohan Babu University, was started for the benefit of UG, PG students, Research scholars and faculty members. The Centre motivates the research activity in the fields of cloud computing and data science. The center is well-equipped to create innovative solutions that influence the lives of people in positive ways. The center build systems and algorithms to extract knowledge, find patterns, generate insights, predict and visualize diverse data for healthcare and agricultural applications through cloud based services such as Meghdoot cloud by C-DAC, Chennai. It is equipped with Data Analytics and cloud computing software such as Python, R Studio, Weka, Spark, Hadoop, RapidMiner, MATLAB and Meghdoot cloud.

The Center for Computer Networks and Cyber Security at Mohan Babu University was established to empower the students and faculty to gain practical experience on current cyber security solutions and technologies. The major areas of research are IoT security, Cyber Physical System Security, Computer network security, Network monitoring and forensics, Vulnerability remediation and Assurance, Cloud computing and Software defined Networks.

The faculty has published 46 papers in peer reviewed journals, presented 75 papers in international conferences and 15 books and book chapters. Filed 20 patents and 02 patents were granted.

The department has conducted International Conferences on Data Analytics, Smart Computing and Networks during 2022 and 2023 respectively.

Labs, Projects & Industry Exposure

One of the top universities for artificial intelligence in India, the curriculum for MBU’s Artificial Intelligence and machine learning courses is designed to align with industry requirements and technological advancements while building strong computing foundations.

Workshops & Hackathons

Students are encouraged to participate in workshops, seminars, innovation challenges, coding competitions, and hackathons that strengthen technical capabilities and foster creativity.

Industry Visits & Expert Sessions

Industry interactions expose students to emerging technologies, business challenges, and professional expectations, helping bridge the gap between classroom learning and industry requirements.

Focus on Innovation

The department encourages participation in research initiatives and innovation activities that promote experimentation, knowledge creation, and technological advancement.

Career Opportunities

Graduates from Artificial Intelligence and Machine Learning courses are prepared for a wide range of technology and analytics roles across industries.

Career Opportunities

An AI & ML specialization opens up career paths across some of the fastest-growing sectors of the digital economy, equipping students with in-demand skills to build intelligent, data-driven solutions.

Career Opportunities

Career Opportunities

AI engineer
Machine learning engineer
Data scientist
Data analyst
NLP engineer
Computer vision engineer
Deep learning engineer
AI research associate
Business intelligence analyst
AI solutions architect
Industries & Sectors

Industries & Sectors

Information technology
Banking & financial services
Healthcare
Telecommunications
Manufacturing
Retail & e-commerce
Cybersecurity
Automotive
Education technology
Logistics & supply chain
Growth

As AI adoption continues to accelerate globally, professionals with expertise in intelligent systems, automation, analytics, and data-driven decision-making are increasingly in demand.

Eligibility, Admissions & Scholarships

Eligibility Criteria

Candidates seeking admission to AI & Machine Learning programs must satisfy the eligibility requirements prescribed by the university.

Eligibility for B.Tech CSE (Artificial Intelligence & Machine Learning)

✅ Passed 10+2 / Intermediate examination with Physics, Mathematics, Chemistry, Computer Science, Electronics, Information Technology, Informatics Practices, Biotechnology, Technical Vocational Subject, Agriculture, Engineering Graphics, Business Studies, or Entrepreneurship.

✅ Obtained a minimum of 45% aggregate marks in the above subjects taken together (40% for candidates belonging to reserved categories).

Admission Pathways

  • MBUCET (Mohan Babu University Common Entrance Test)
  • JEE Main or other recognized entrance examinations, as applicable
  • Merit-based admission as per University norms

Admission Process

1

Submit the application form.

2

Complete the admission requirements.

3

Participate in the selection process, if applicable.

4

Confirm admission and complete enrollment formalities.

Accepted Entrance Exams

Candidates can qualify for admission through a range of nationally recognized entrance examinations accepted by the university.

Scholarships

MBU supports deserving students through scholarship and financial assistance opportunities designed to encourage academic excellence.

Scholarship Opportunities

Scholarships are available based on:

  • MBUCET Rank / Score
  • JEE Main Percentile
  • Intermediate (IPE / Class XII) Marks
  • Other merit and category-based scholarship schemes announced by the University from time to time

Apply for AI & Machine Learning Admissions at MBU

The future belongs to professionals who can harness the power of Artificial Intelligence, Machine Learning, and Data Science to solve complex challenges and drive innovation. Whether you are looking for a B.Tech in AI and Machine Learning, a specialization in Artificial Intelligence & Data Science, or advanced postgraduate studies, MBU offers the academic foundation, practical exposure, and industry engagement needed to build a successful career.

Take the Next Step

Dept. of AI&ML
Dr. K. Reddy Madhavi
Professor & Head
School of Computing
E-Mail: head-aiml@mbu.asia

Edit
S.No.Name of the FacultyDesignation
1Dr. REDDY MADHAVI KProfessor & Head
2Dr. DILEEP KUMAR YProfessor
3Dr. KRUPAKARAN R.LProfessor
4Dr. AVANIJA JProfessor
5Dr. LAKSHMI NARASIMHAMU KProfessor
6Dr. Nandagopal VProfessor
7Dr. Karunanidhi DProfessor
8Dr. DHANALAKSHMI PANDLURIProfessor
9Dr. ARUN VProfessor
10Dr. S. RAGUNATHANProfessor
11Dr. Chokkalingam V.Professor
12Dr. Kanthamma KProfessor
13Dr. Valaboju BapujiProfessor
14Dr. Srinivasa Rao NProfessor
15Dr. Nakka Muralidhara RaoProfessor
16Dr. Narendra Kumar Rao BProfessor
17Dr. Ganesh C.Professor
18Dr. RAMACHANDRA BABU VASILIAssociate Professor
19Dr. LAKSHMI KALA KAssociate Professor
20Dr. KIRAN Y BAssociate Professor
21Ms. SILPA LAssociate Professor
22Dr. BUSIREDDY HEMANTH KUMARAssociate Professor
23Dr. MUNDLURU DHARANIAssociate Professor
24Dr. ARAVA SUMAN KUMARAssociate Professor
25Dr. Guda Chenna ReddyAssociate Professor
26Dr. Manigandan KAssociate Professor
27Dr. PADMAJA KAssociate Professor
28Dr. P Baby MaruthiAssociate Professor
29Dr. Reddi Srinivasa raoAssociate Professor
30Dr. Kavitha KAssociate Professor
31Dr. Rajani AAssociate Professor
32Dr. Sai Mahesh KAssociate Professor
33Dr. Sabarinathan K.Associate Professor
34Dr. Hidayathulla Khan B MDAssociate Professor
35Dr. Cheemala RaghavendraAssociate Professor
36Dr. Balaji VuppalaAssociate Professor
37Dr. Vijaya Bhaskarareddy M.Associate Professor
38Dr. Beyanagari Sudheer reddyAssociate Professor
39Dr. G Vidyasagar Reddy.Associate Professor
40Dr. HARI KRISHNA VAssociate Professor
41Dr. SASI KUMAR MATAM VENKATAAssistant Professor Sl
42Ms. JAHNAVI W VAssistant Professor
43Ms. SUMALATHA DAssistant Professor
44Mr. SUBBA REDDY BAssistant Professor
45Dr. K VIJAYAKUMARAssistant Professor
46Mr. MAHESWAR REDDY RAssistant Professor
47Mr. RUPENDRA NAIK BAssistant Professor
48Mr. MOHAN KUMAR REDDY BAssistant Professor
49Mr. BALAKRISHNA NAssistant Professor
50Mr. KAMAL KUMAR UAssistant Professor
51Mr. HEMANTH NAssistant Professor
52Ms. LAKSHMI BHAVANI TAssistant Professor
53Ms. GHAMYA KAssistant Professor
54Mr. SUBRAMANYAM KAssistant Professor
55Mr. YELLAPPA REDDY BAssistant Professor
56Dr. B. ESWARIAssistant Professor
57Ms. DIVYA KAssistant Professor
58Ms. B. HARI CHANDANAAssistant Professor
59Ms. BUDARAPU LAKSHMIAssistant Professor
60Mr. SANGINADAM VENKATASEKHAR .Assistant Professor
61Ms. SESI PRABHA KAssistant Professor
62Mr. MAHESH KUMAR PAssistant Professor
63Mr. GOPALA KRISHNAN HAssistant Professor
64Ms. SASIKALA KAssistant Professor
65Mr. VELURI SIVA PRASADAssistant Professor
66Dr. ANIL KUMAR NAssistant Professor
67Mr. GONUGUNTLA DILEEP KUMARAssistant Professor
68Mr. YALAMANDA VENKATADRIAssistant Professor
69Ms. BOTLA GNAPIKAAssistant Professor
70Mr. SESHA REDDY NAssistant Professor
71Ms. KUMMARIKUNTA SANDHYAAssistant Professor
72Dr. Vennila GAssistant Professor
73Ms. Harika KoruturuAssistant Professor
74Ms. Jaya DeepthiAssistant Professor
75Mr. Raveendra Naick BAssistant Professor
76Ms. Prema KAssistant Professor
77Mr. VIJAYAKUMAR YENETIAssistant Professor
78Mr. GOPINATH PAssistant Professor
79Mr. BATHALA MAHESHAssistant Professor
80Dr. Ankit KargetiAssistant Professor
81Mr. Cheruku Sudarsana ReddyAssistant Professor
82Ms. Rajani .BAssistant Professor
83Mr. Mallarapu ChiranjeeviAssistant Professor
84Mr. Ranjeet KumarAssistant Professor
85Ms. PERNAPATI AMRUTHAAssistant Professor
86Ms. DANDU LIKITHAAssistant Professor
87Mr. CHANDRAMOULI REDDY MAssistant Professor
88Mr. Ramesh Naik BAssistant Professor
89Dr. Sanjay SharmaAssistant Professor
90Dr. Masthan Rao KaleAssistant Professor
91Mr. Sai Kishore MAssistant Professor
92Dr. Srinivasulu KAssistant Professor
93Dr. Babu S.Assistant Professor
94Mr. Kommalapati Naveen KumarAssistant Professor
95Ms. Gogula VyshnaviAssistant Professor
96Mr. Dhawlath .GAssistant Professor
97Mr. Rahil HussainAssistant Professor
98Dr. Ashutosh KumarAssistant Professor
99Dr. Yennam Sivananda ReddyAssistant Professor
100Dr. Motamarri RambabuAssistant Professor
101Dr. Pakala SivaranjaniAssistant Professor
102Dr. Shobham ShobhamAssistant Professor
103Ms. Shaik Raameez AnjumAssistant Professor
104Mr. Mudimela Thejavadhanana ReddyAssistant Professor
105Dr. Nithyanandam CAssistant Professor
106Dr. Lavanya Latha YAssistant Professor
107Dr. N. DurairajAssistant Professor
108Mrs. T. NaganandiniAssistant Professor
109Mr. Palagani SrinavasaraoAssistant Professor
110Mr. Puneeth kumar CAssistant Professor
111Mr. Karanki NagagopiAssistant Professor

Clubs and Professional Societies

Frequently Asked Questions

Why should I choose B.Tech. Artificial Intelligence & Machine Learning at Mohan Babu University?
Artificial Intelligence is transforming the way businesses, industries and societies operate. The B.Tech. Artificial Intelligence & Machine Learning programme at Mohan Babu University is designed to prepare students for this rapidly evolving landscape by combining a strong foundation in Computer Science with specialized knowledge in Artificial Intelligence and Machine Learning. The curriculum emphasizes practical learning through laboratories, internships, project-based learning and a capstone project, enabling students to graduate with the skills required for both industry and higher studies.
What AI & Machine Learning Courses are offered at Mohan Babu University?
Mohan Babu University offers a B.Tech in Artificial Intelligence & Machine Learning, a four-year undergraduate programme designed to build strong foundations in Computer Science while providing specialized knowledge in Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Computer Vision, and other emerging technologies. The programme combines classroom learning with laboratories, internships, projects, and experiential learning to prepare students for industry and higher studies.
Who teaches the B.Tech. Artificial Intelligence & Machine Learning programme?
The programme is delivered by qualified faculty members with expertise in Computer Science, Artificial Intelligence, Machine Learning and Data Science. Faculty members combine academic knowledge with research and practical teaching methodologies to help students understand both the theoretical foundations and real-world applications of Artificial Intelligence.
What practical learning opportunities are available to students?
Learning in the AI & ML programme extends well beyond the classroom. Students gain hands-on experience through programming laboratories, AI-focused practical sessions, project-based learning, internships and a capstone project. These experiences encourage students to apply Artificial Intelligence techniques to real-world problems while developing analytical thinking, teamwork and problem-solving skills.
What career opportunities are available after completing a B.Tech in AI and Machine Learning?
Graduates with a B.Tech in AI and Machine Learning can pursue careers as Artificial Intelligence Engineer, Machine Learning Engineer, Data Scientist, Data Analyst, Computer Vision Engineer, NLP Engineer, AI Research Associate, and Software Developer. The programme equips students with the technical knowledge and practical skills required for technology-driven industries while also preparing them for higher studies and research opportunities.
What makes the Department of Artificial Intelligence & Machine Learning at Mohan Babu University unique?
The department combines academic rigor with experiential learning to create graduates who are ready for the demands of modern industry. Rather than focusing solely on theory, the programme integrates practical laboratories, project-based learning, internships and contemporary AI technologies throughout the curriculum. This balanced approach enables students to develop technical expertise, problem-solving ability and the confidence to work on intelligent systems and data-driven applications.
Can I pursue higher studies or research after completing the programme?
Yes. The programme provides a strong academic foundation for students interested in pursuing M.Tech, M.S. or Ph.D. programmes in Artificial Intelligence, Machine Learning, Data Science, Computer Science and related disciplines. Students interested in research also benefit from the programme's emphasis on analytical thinking, innovation and project-based learning.
What skills will I gain from the B.Tech. Artificial Intelligence & Machine Learning programme?
By the end of the programme, students develop strong programming and computational skills along with expertise in Artificial Intelligence, Machine Learning and intelligent data analysis. They also strengthen essential professional competencies such as critical thinking, communication, teamwork, ethical decision-making, leadership and lifelong learning. These skills prepare students to adapt to rapidly changing technologies and contribute effectively in multidisciplinary professional environments.