Deadline : December 8, 2023
Training for
From Amazon AWS, CISCO Academy, and Amrita.
Interact with International (Germany & USA) and national Artificial Intelligence specialists on course modules and industry led projects. 50+ case studies to be covered.
Courses offer hands-on sessions using industry relevant Artificial Intelligence and Data Science Python packages such as SciPy, Scikit-Learn, sympy, matplotlib, NLTK, BERT.
Hands-on sessions integrated into courses include Tensor flow, Tableau, Keras, Anaconda, RDBMS: SQL; Apache Spark ; SPARKQL; SPARKML, PySpark and complex networks tools like Gephi/NetworkX.
In areas of Machine Learning, NLP, Computer Vision, Deep learning, Cloud Computing & Distributed Computing, BlockChain, IOT.
Learn from leading faculty members and industry experts
Professor, Department of Computer Science and Engineering, University at Buffalo, NYrnAdjunct Faculty, Department of Computer Science, Amrita School of EngineeringrnrnHis teaching and research expertise centers around programming languages and software systems, Dynamic analysis and visualization in a state-of-the-art execution environment for Java, formal methods in software and safety-critical systems; identification, tracking, and retrieval in cyber-physical spaces based upon camera networks and biometric sensors.
DR.Keshavan is a PhD from the Indian Institute of Science, Bangalore.rnrnDr Keshavan has over 11 years’ experience as both a software engineer and a hardware architect in leading industries. He has served in both technical and management positions. He currently works in the strategic planning team at Samsung in Texas. In the past, he served as a chief engineer at Samsung. Dr Keshavan also worked with Hewlett-Packard India Software Operations & ZenIQ.
Ms. Radhika has over 15 years of experience working in the areas of networking, storage, and cloud security in both large tech companies as well as start-ups. She currently works in the cloud security data team at McAfee. With expertise in Java programming and Web development technologies, she also has a strong understanding of Object-Oriented design, data structures and design patterns. In the past, she has worked with Cisco for over 9 years as senior software engineer.
PhD from the University of Tokyo, Japan; Postdoc from NUS Singapore; Research into VLSI, Python for Data Analytics Ratna received her PhD from the University of Tokyo, Japan and was a post-doctoral research fellow at National University of Singapore. She has 14+ years of experience – working as a teaching faculty, researcher and technical management positions. Her interest areas are: VLSI Systems, GPU and Python for Data Analytics. She currently works as a GPU Program Manager at Samsung
Dr Georg Gutjahr is an Assistant Professor at Amrita. He has a B.S. in Data Engineering and a Ph.D. in Statistics from the University of Vienna, Austria.His Research is focused on Data Science with a focus on Health Analytics. Research areas include adaptive designs, multiple testing, and numerical methods in statistics.Prior to joining Amrita Vishwa Vidyapeetham, he was a postdoc for 6 years at the University of Bremen, Germany. rn
Dr Swaminathan is an Asst. Professor, Computer Science Engineering, Amrita University.Dr Swaminathan has about 22 years of experience, 11 years of which are in the IT industry and 11 in teaching. His research interests include Program Analytics, Formal Methods and Software Visualization. He mentors students for Coding competitions including ACM ICPC.
Mr Sreevalsan has more than 35 years of experience in the IT field with a demonstrated history of working in the education management industry. He is Heading the Cisco Networking Academy at the University and is the Academy Support Expert for Cisco Networking Academies in India. He is a Member of the- Global Advisory Committee – Cisco Networking Academy 2020-21.
Ms. Kohila is a Sr. Academy Instructor, CISCO Networking Academy with more than 10 years of experience in CCNA training. She handles CCNA training sessions for professors & Industry people. She has been awarded Best Instructor- by the Cisco Academy for 5 Consecutive years. She is also the first instructor in India to be qualified in the Instructor Trainer qualification process in India.
Dr. Sandhya has an M. Tech. in Computer Science from IIT Delhi and Ph.D from Amrita Vishwa Vidyapeetham. She currently serves as a Senior grade Assistant Professor at the Department of Computer Science and Engineering at Amrita School of Engineering, Amritapuri. She has 19+ years of experience, with 16+ years in academics and 3 years in the corporate world at Reliance Industries. Her teaching and research expertise centers around AI technologies that includes Machine Learning, Big Data Analytics and Database Management Systems.
Earn a prestigious AICTE Approved degree from Amrita Vishwa Vidyapeetham, the fourth best University in India.
As per the UGC regulations, Online degrees at undergraduate and postgraduate level shall be treated as equivalent to the corresponding awards of the degrees at undergraduate and postgraduate level offered through conventional mode.
Join a growing global network of accomplished Amrita alumni.
Best-in-class content by leading faculty and industry leaders in the form of videos, case studies and projects.
| Title of Course |
|---|
| Foundations of Computer Systems |
| Mathematical Foundations for Computer Applications |
| Essentials of Cybersecurity |
| Elective I |
| Elective II |
| Elective III |
| Title of Course |
|---|
| Data Structures and Algorithms |
| Mathematics Elective |
| Cloud Computing |
| Elective IV |
| Elective V |
| Elective VI |
| Title of Course |
|---|
| Software Project Management |
| Research Methodology |
| Elective VII |
| Elective VIII |
| Elective IX |
| Elective X |
| Minor Project |
| Title of Course |
|---|
| Project |
| Elective XI |
| Title of Course |
|---|
| Foundations of Machine Learning |
| Natural Language Processing |
| Business Analytics and Visualization |
| Deep Learning for AI |
| Computer Vision |
| Complex Network Analysis |
| Data Engineering for AI |
| Reinforcement Learning |
| IoT for AI |
| Artificial Intelligence |
| Artificial Intelligence for Robotics |
| No-SQL Databases |
| Applications of Machine Learning |
| Web Analytics |
| Computational Statistics |
| AI for Drug Discovery and Target Validation |
| Representation Learning |
| Medical Signal Processing |
| Applied Predictive Analytics |
| Data Visualization |
Candidates must have an aggregate minimum of 50% marks in UG.
Candidates with work experience will have an added advantage for admissions.
Minimum 2 years
Maximum 4 years
The National Assessment and Accreditation Council (NAAC),Government of India accredited our University with the topmost ‘A++’ grade. The Schools under the aegis of Amrita University have over 108 programmes in disciplines as diverse as Biotechnology, Engineering, Management, Medicine, Dentistry, Ayurveda, Pharmacy, Nanotechnology, Communication, Arts & Science and Education, providing our students with an outstanding training in our several campuses across multiple states. Needless to add, this multi-disciplinary character of our University facilitates a laudable synergy within our midst greatly enabling us all to derive maximum benefit from the expertise of each other. The Amrita AHEAD programs are WES accredited in the United States and Canada.
Amrita ranked 7th Best University in India- NIRF, Govt. of India
Data is based on on-campus information
Go Global with our International Programs: Student Exchange program, Study Abroad Program and 3+1+ x Integrated Masters Program
Total fee: INR 45000*1 (Sem-wise payment*1 semesters) + INR 50000*3 (Sem-wise payment*3 semesters) = INR 195000
ZERO COST EMI STARTING FROM
₹7500*
*Terms & Conditions apply
* Registration fee -Rs. 500
* Examination Fee -Rs.2000 Per Semester
*If you are a foreign national, please email ahead@amrita.edu / ahead@onlineamrita.com
Here I am, on an ongoing journey to complete my online degree MCA in Artificial Intelligence alongside my full-time job and managing my family. Very proud and grateful for Amrita Ahead’s online opportunity, which gives the same value and benefits of studying same as on-campus learning. 24/7 accessibility to the resources, online library, and faculty support provides each student to meet their academic goals.
Experience with Amrita AHEAD online MCA AI is outstanding. Teachers are very experienced and humble. They understand students’ problems and work accordingly. Teachers work round the clock for our assistance and give quality materials and teaching. The course curriculum is outstanding. Suitable for skilling up.
This 2-year postgraduate online programme of MCA with specialization in AI is designed to groom professionals technically sound in advanced learning systems & methodologies that are based on algorithms of Artificial Intelligence. This programme follows an industry mentored curriculum which equips the professionals with advanced application-level knowledge in cutting edge technologies. The structure of course is designed as hands-on based which helps students to apply their knowledge which helps them align with industry standards from the very beginning of the course.
Yes, It is approved by AICTE.
The Online MCA-AI programme is a 2-year programme. You, as a learner can either complete it within the stipulated time frame of 2 years or you can complete it within a maximum allowed duration of 4 years.
For working professionals, we have built tremendous flexibility in the program allowing up to 4 years to earn your degree, allowing for self-paced, anytime learning.
01) Reading materials and video lectures will be uploaded into our learning management system
02) Every week, there will be a live interactive session with faculty to clear doubts and they will also be recorded and posted
03) There will also be a discussion forum to encourage peer learning. Faculty and teaching assistants will also participate in these discussion forums and help with the overall learning experience. Practice quizzes will be given every week so that you are continuously preparing for exams.
Each course will be in 4 quadrants, fully following the UGC guidelines.
1) Quadrant-I is e-Tutorial; which shall contain: Video and Audio Content in an organized form, Animation, Virtual Labs, etc, along with the transcription of the video.
2) Quadrant-II is e-Content; which shall contain; self-instructional material (digital Self Learning Material), e-Books, case studies, presentations etc, and also contain Web Resources such as further references, Related Links etc.
3) Quadrant-III is the Discussion forum for raising of doubts and clarifying the same by the Course Coordinator
4) Quadrant-IV is Assessment, which shall contain; Problems and Solutions, which could be in the form of Multiple Choice Questions, Fill in the blanks, Matching Questions, Short Answer Questions, Long Answer Questions, Quizzes, Assignments and solutions.
Yes. As per the UGC regulations, Online degrees at undergraduate and postgraduate level shall be treated as equivalent to the corresponding awards of the degrees at undergraduate and postgraduate level offered through conventional mode. The following things will be mentioned on the backside of the degree and mark sheets – Mode of delivery; Date of admission; Date of completion.
Yes, every week, for every course, there will be a live doubt clearing session with the faculty, typically for about an hour. These sessions will also be recorded and available for watching later.
In order to accommodate working professionals, these sessions will be held on weekends or after working hours.
Examinations are conducted as per the new regulations through the Online Technology Enabled Proctored mode.
01) One of the most demanding careers in all sectors which show no sign of saturation in the next 20 years
02) The credible report says in 2021, artificial intelligence (AI) augmentation will create $2.9 trillion of business value and 6.2 billion hours of worker productivity globally.
03) World Economic Forum in its report “The Future of Jobs: 2018” clearly states that the boom of AI and its tremendous application in diverse areas could open about 58 million new job opportunities’ by 2022
04) Statistics show over 375 million existing workers need to be skilled in AI to retain their position.
Upon successful completion of the programme, prospective and esteemed job profiles that graduates gain are: Data Scientist, Business Analyst, Data Engineer, Applied Machine Learning engineer, Analytics Leader/data Science Manager, Qualitative expert/Social Scientist
. Study at your own pace
. Learn Anytime Anywhere
. AICTE approved programs
. Equivalent to on-campus programs
. World-class learning environment
. Experienced faculty from India and abroad
. Course Mentors
. Career Assistance
. Courses Co-developed with Industry
. Hands-on Laboratories, Practise Sessions
. Industry Projects
. Interactive Sessions with Industry Experts
. Opportunities to Pursue Dual Degree with International Universities
. Multiple Industry Certifications
Candidates must have an aggregate minimum of 50% marks in UG.
Candidates with work experience will have an added advantage for admissions.
First year fee is Rs. 95,000 and second year fee will be Rs 1,00,000. The total fee is Rs. 1,95,000 for the full MCA AI program.
Yes, there is a registration fee of Rs. 500.
It is a simple and easy process. You need to fill out our application form in order to apply.
Please click on the following link to apply:
https://aoap.amrita.edu/ahead-23/index/
You can contact us via Email, Call or WhatsApp. You can also chat with us through the chat window present on our website.
Email: ahead@amrita.edu / ahead@onlineamrita.com
Mobile: 8590007473
Whatsapp: 8590007473
We are always here to help you and make your journey as easy as possible.
Yes, International Students are welcome.
For the July 2023 season, as per new UGC regulations, we will provide a full refund to all students till September 2023 and a deduction of Rs. 1000 as a processing fee for refunds till October 2023.
For all admissions beyond October 2023, the following policy will be followed.
We follow UGC Regulations for a Refund :
* A processing fee of Rs. 1000 will be deducted
Please note: The above contact details are only for Amrita AHEAD- Amrita’s Online programs. For on-campus queries, please contact the number listed here: amrita.edu/admissions (044-462 76066).
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