Programmes
- Programme CodeBCA-002
- Duration3 Years
- ProgrammeGraduate Programme
- Department Department of Computer Applications
Through the use of technology, cloud computing enables people and organisations to safely store data on distant computers without having to pay for server maintenance.
Generally, a membership fee is paid by both individuals and corporations, based on the systems' requirements and usage. Cloud storage services like iCloud and Google Drive are great instances of how cloud technology is used on a daily basis.
1,00,000 1stYr.
1,00,000 2ndYr.
1,00,000 3rdYr.
Minimum 60% (55% FOR SC/ST) MARKS IN 10+2 WITH PCM/PCB
Admission can be sought on the basis of: The rank secured in national level exams like JEE, CUET or other equivalent exams. OR The Invertis University Common Entrance Test (IUCET). OR The merit of qualifying exams The IUCET exam offers convenient choices to candidates: Online remotely proctored from Home (recommended by the university, based on available resources) or Test centre-based options Merit in IUCET, subject to fulfilling eligibility criteria.
Bachelor of Computer Applications (Artificial Intelligence)- AI Architect
- AI Engineer
- AI Analyst/AI Consultant
- Data Scientist
- Research Scientist
- Machine Learning Engineer
Frequently Asked Questions
You are eligible for this programme with 60% marks at 10 + 2 level (55% for SC/ST candidates) in PCM or PCB. Your admission at Invertis University is based on the rank of the entrance test of JEE or CUET or similar other exams, IUCET rank or on the merit of the qualification of these examinations.
You will learn to do programming in C, Python, Java, data structures, DBMS and computer networks. In the later semesters, your programme will include artificial intelligence, machine learning, deep learning, sensor technology, blockchain and full stack development.
This programme develops programming, data analysis and problem-solving skills with practical-based study. This will further build your expertise in implementing machine learning algorithms and web and full stack development, and real-time application of AI in datasets and systems.
Possible career paths include AI architect, AI Engineer, Data Scientist or ML Engineer, AI Analyst, AI consultant or in research positions depending upon your field of interest in AI.
This course at Invertis University will make you technically grounded in programming and data structures and will help in applying machine learning or Deep learning. When needed, this will assist you in becoming a professional with a great understanding of the technical domain in Machine Learning or other AI domains.
