B.E. CSE (Specialization in Artificial Intelligenceand Machine Learning)
Duration: 4 years (Regular) / 3 Years (Lateral Entry)
No. of Semesters: 8 (Regular) / 6 (Lateral Entry)
Intake / No. of Seats: 60
The need for AI talent pool is predicted to surge in India as a result of the government's move toward digitization and many organisations speeding their digital transformation activities.
58% of all organisations foresee modifications their business model due to AI within five years - Forbes Report
A rapidly growing field across all industries is Artificial Intelligence and Machine Learning, that provides students with high-level computer abilities as well as a full grasp across all sectors.
You will learn how to work with AI to harness the strategic advantage it offers in making more informed decision-making and increased efficiency and profitability. You will learn about the transformative power of AI and use it to solve real world challenges. When you graduate from KPRIET, you will be able to design and implement systems and applications in Hitech AI and Data science labs.
This program will prepare you for one of the world’s most exciting technology frontiers.
This is a very practical engineering degree where you will develop AI apps and platforms to understand the role of AI in future technology. Students will learn strong problem solving and analytical skills in Artificial Intelligence and Machine Learning Course at KPR institute of Engineering and Technology
According to US Bureau of Labor Statistics, employment for Artificial Intelligence and Machine Learning engineers are projected to grow 24% by 2024.
Duration: 4 years (Regular) / 3 Years (Lateral Entry)
No. of Semesters: 8 (Regular) / 6 (Lateral Entry)
Intake / No. of Seats: 60
Graduates of Artificial Intelligence and Machine Learning department will be able to
PO 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
PO 2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences
PO 3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations
PO 4. Conduct investigations of complex problems: Use research-based knowledge and research methodsincluding design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions
PO 5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations
PO 6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice
PO 7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development
PO 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
PO 9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO 10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions
PO 11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments
PO 12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
Artificial Intelligence and Machine Learning Engineering at KPR Institute of Engineering technology is a hands-on course. You will learn through study materials, lectures, practical classes, live sessions, tutorials, real time projects and through Industry collaborations.
At KPRIET we follow various assessment techniques such as examinations, assignments, projects, reflective journals, presentations, peer assessment and self assessment.
To enhance the learning experience, we have integrated industry curriculum in the course. This helps students to learn practically in the real time and get a chance to solve real world problems.
At KPR Institute of Engineering and Technology, Industries regularly contribute to the course through seminars, workshops, conducting short term courses, hackathons etc. You don’t just learn, you learn beyond.
You will have six fundamental subjects and choose two electives in the first year. In the second year students will learn through projects and research. Third year students will get an opportunity to learn real time intensive project partnering with industry. The final semester will end with a Project and Internship at Industry.
B.E. CSE (Specialization in Artificial Intelligenceand Machine Learning) makes the student to gain high level computing knowledge along with a deep knowledge in artificial intelligence and data science. Students will get an opportunity to pursue their career as an AI professional in the emerging area.
Job titles for Artificial Intelligence and Machine Learning Engineering students are very diverse, and may include, AI Engineer, Data Scientist, Business Intelligence Strategist, Research Scientist, Data Mining Engineer, Machine Learning Engineer Etc.,
Know more about Department of Artificial Intelligence and Machine Learning at KPR Institute of Engineering and Technology
When it comes to high-performance in the field of Machine Learning and Big Data analysis, the iMac High-end Machines have emerged as a clear leaders in recent years. iMac has long been a popular platform for Data Scientist.
Data scientists combine technology and social science both together to detect trends and manage data using Macs powered by all-new M1 CPUs and the Pattern Recognition computed framework available in macOS Big Sur and Monterey.
Any workload can be easily handled by a super-fast processor and graphics, enormous memory, and all-flash storage.
Artificial Intelligence Laboratory
Powered by Apple Inc.
Machine Learning Laboratory
Powered by Apple Inc.
| 1 | Display | 68.58 cm / 27-inch (diagonal) 5K Retina display |
|---|---|---|
| 2 | Processor | Configurable to 3.8GHz 10-core 10th-generation Intel Core i9, Turbo Boost up to 5.0GHz |
| 3 | Memory | Configurable to 16GB, 32GB, 64GB or 128GB |
| 4 | Storage | Configurable to 1TB, 2TB, 4TB or 8TB SSD |
| 5 | Graphics | Configurable to AMD Radeon Pro 5700 XT with 16GB of GDDR6 memory |
| 6 | Video Support and Camera | 1080p FaceTime HD camera |
| 7 | Input | Magic Keyboard and Magic mouse |
| 8 | Operating System | macOS Monterey |
iMac has all the power Big Data analysts and Data scientists needs to analyse massive air quality dataset and to render a stunning visualisations of the findings on interactive dashboards. Apple Technology is being used by top professors and students to propel improvements across every field.
KPRIET uses Apple technology to power its innovation centre and to give the entire AI & ML department a competitive edge. Students from AI & ML course uses advanced incubator space to build iOS Apps that can be used world widely. Apple Inc. powered Laboratories can help holistic students success in a hybrid learning environment.
Who can study B.Tech in Artificial Intelligence and Machine Learning Engineering at KPR Institute of Engineering and Technology
The candidates must have passed the 12th standard(intermediate) or its equivalent examination from the Government recognized board with the subjects as Physics, Chemistry and Mathematics with the percentage as 45% (for general candidates), 40% (for backward class including Muslim), 40% (MBC & DNC) and 40% (for SC/ST/SCA) candidates.
As the candidates from other states are considered under General Category, a pass with minimum average marks in Physics, Chemistry and Mathematics put together as 45% (General Category)
The candidate should have passed in all the subjects and scored a minimum average of 45% in Physics, Chemistry and Mathematics put together as in General Category
The candidate should have passed in all the subjects and scored a minimum average of 45% in Physics, Chemistry and Mathematics put together
Passed Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in ANY branch of Engineering and Technology
Download the strategy document to understand what are the opportunities available for a student at KPRIET
