The Icfai University was established in 2003. The Icfai University is a Private institute approved by AICTE, UGC, NCTE, BCI, DEB. The Icfai University is located in Dehradun-Uttarakhand, Uttarakhand. The Icfai University offers a B.Tech in Artificial Intelligence. B.Tech in Artificial Intelligence course teaches students about the fundamental foundations of computer science and artificial intelligence principles to develop new intelligent systems and computer software applications with the help of programming skills and machine learning technology. The Artificial Intelligence curriculum includes topics such as algorithm design and analysis, computer system architecture, machine learning, introduction to data communication and computer networks, and natural language processing. Some of the prominent B.Tech in Artificial Intelligence Entrance Examinations include JEE Main, JEE Advanced, TNEA Counselling, AP EAMCET, TS EAMCET, MHT CET, KCET, COMEDK UGET, etc. There are various lucrative B.Tech in Artificial Intelligence career opportunities, with roles such as Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Robotics Engineer, etc. Top recruiters in India include Google, Microsoft, Amazon, Deloitte, Accenture, Adobe, etc. The Icfai University offers a wide range of amenities to its students such as auditoriums, cafeterias, Wi-Fi, gyms, sports, etc. In addition to providing the necessary facilities to its students, The Icfai University also offers scholarship opportunities to its students including sports scholarships, merit scholarships, etc.
| Institute Name | The Icfai University Dehradun-Uttarakhand |
| Type | Private |
| Approved By | AICTE, UGC, NCTE, BCI, DEB |
| Established | 2003 |
| Affiliated By | Govt. of Uttarakhand |
| E-Mail | admissions@iudehradun.edu.in |
| Official Website | www.iudehradun.edu.in |
| Address | Dehradun-Uttarakhand,Uttarakhand India 248197 |
| High Demand and Career Opportunities: AI professionals are in high demand in industries such as healthcare, finance, robotics, gaming, cybersecurity, e-commerce. Job roles include AI Engineer, Machine Learning Engineer, Data Scientist, NLP Specialist, Robotics Engineer, and AI Researcher. |
| Future Careers: AI is a rapidly growing field with applications of self-driving cars, chatbots, intelligent assistants and predictive analytics. Governments and industry will invest a lot in AI to ensure long-term career stability. |
| Interdisciplinary Learning: This course covers machine learning, deep learning, neural networks, natural language (NLP) processing, computer vision, robotics, and big data analysis. Students will also learn programming (Python, R, Pytorch), mathematics and skills to solve problems. |
| Entrepreneurship and Startups: AI graduates can create AI-based startups in areas such as HealthTech, Fintech, Edtech, Automation and more. |
| Global Awareness and Opportunities: AI skills are valued worldwide, making it possible for the US, Europe, Canada and other high-tech hubs to function. |
| Real-World Applications: AI is used in self-driving cars, facial recognition, fraud detection, medical diagnosis, personalized recommendations (Netflix, Amazon, etc.). |
| Candidates must have at least 60% grade in their 10+2. They are required to complete their 10+2 in the Science stream, with a major focus on Mathematics, Physics, and Chemistry. Aspiring candidates are required to appear for the entrance examination to pursue a B.Tech in Artificial Intelligence course. |
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| Eligibility Requirements | For admission to this B.Tech in Artificial Intelligence course, students must have completed 10+2 in a science stream with physics, chemistry and mathematics as required subjects. |
| Application Form | Once students have met the eligibility requirements, they must fill out the application form carefully with all the relevant details, and check before submission. |
| Entrance Exams | Some of the prominent entrance exams for B.Tech in artificial intelligence course are JEE Main, JEE Advanced, AP EAMCET, TS EAMCET, MHT CET, and KCET. |
| Counselling Session | Shortlisted students will take part in consulting meetings and receive approval from Geeta University based on their ranking list and cutoff scores. |
| Document Verification | Selected candidates must submit official documents. |
| Admission | Submit the course fee to complete the approval procedure. |
| Course Name | B.Tech in Artificial Intelligence |
| Course Duration | Four Years |
| Course Level | Graduate |
| Admission Process | Merit and Entrance based |
| Eligibility Criteria | 10+2 |
| Application Process | Online & Offline Mode |
| Age | No age limit |
| Entrance Exams | JEE Main, KIITEE, MHT CET, etc. |
| Fee Structure | Updated Soon |
| Top Recruiters | Google, Facebook, Wipro, IBM, Oracle, etc. |
| Job Profiles | AI Research Scientist, Robotics Engineer, Computer Vision Engineer, etc. |
| The The Icfai University Application process is an online process. |
| Interested students can fill out the application form on the official website of the The Icfai University. |
| Students must fill out the form as per the guidelines and upload the necessary documents. |
| Check out the official website for the latest updates from the The Icfai University. |
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| Semester 1 | Semester 2 | Semester 3 | Semester 4 |
Mathematics I Physics Physics Lab Programing in C Language Programing in C Language Lab Playing with Big Data Open Source and Open Standards Communication WKSP 1.1 Communication WKSP 1.1 Lab Seminal Events in Global History | Mathematics II Basic Electronics Engineering Basic Electronics Engineering Lab Data Structures with C Data Structures-Lab Discrete Mathematical Structures Introduction to IT and Cloud Infrastructure Landscape Communication WKSP 1.2 Communication WKSP 1.2 Lab Environmental Studies Appreciating Art Fundamentals | Computer System Architecture Design and Analysis of Algorithms Design and Analysis of Algorithms Lab Web Technologies Web Technologies Lab Functional Programming in Python Introduction to Internet of Things Communication WKSP 2.0 Communication WKSP 2.0 Lab Securing Digital Assets Introduction to Applied Psychology | Operating Systems Data Communication and Computer Networks Data Communication and Computer Networks Lab Introduction to Java and OOPS Introduction to Java and OOPS Labs Applied Statistical Analysis (for AI and ML) Current Topics in AI and ML Database Management Systems & Data Modelling Database Management Systems & Data Modelling Lab Impact of Media on Society |
| Semester 5 | Semester 6 | Semester 7 | Semester 8 |
Formal Languages & Automata Theory Mobile Application Development Mobile Application Development Lab Algorithms for Intelligent Systems Current Topics in AI and ML Software Engineering & Product Management Minor Subject: - 1. Aspects of Modern English Literature or Introduction to Linguistics Minor Project I | Reasoning, Problem Solving and Robotics Introduction to Machine Learning Introduction to Machine Learning Natural Language Processing Minor Subject 2 – General Management Minor Subject 3 - Finance for Modern Professional Design Thinking Communication WKSP 3.0 Minor Project II | Program elective Web Technologies Major Project- 1 Comprehensive Examination Professional Ethics and Values Industrial Internship Open Elective - 3 CTS-5 Campus to corporate Introduction to Deep Learning | Major Projects 2 Program Elective-5 Program Elective-6 Open Elective - 4 Universal Human Value & Ethics Robotics and Intelligent Systems |
Deep Learning: Graduates must be proficient in understanding the architecture, training, and tuning of deep neural networks. Machine Learning: Students should be adept with the fundamental theory and concepts behind machine learning, current AI, and machine learning techniques. Distributed Computing: Graduates should have knowledge of the distributed computing landscape to deal with very large datasets. Data Visualization: Students are expected to have a solid understanding of data visualization tools and libraries, like Matplotlib, Seaborn, Tableau, etc. |
The Icfai University has a committed placement department that helps students get into top organizations with competitive salaries. The placement department at The Icfai University organizes a wide range of training programs including workshops, seminars, industrial visits, and much more to enhance the skills and knowledge of the students.In addition to job placement assistance, The Icfai University also offers internship opportunities in top companies that provide students with the necessary skills and desirable insights into the corporate world.
| Google | TCS |
| Wipro | HCL Tech |
| IBM India | Accenture |
| Oracle | Cognizant |
| Infosys | Deloitte |
| Sports: The Icfai University, Dehradun-Uttarakhand has a large sports ground for cricket, football and volleyball that makes students to be physically active and refreshes their minds. |
| Classrooms: The The Icfai University has classroom facility for students. |
| Library: The The Icfai University has a library with a wide range of books, e-journals, newspapers and magazines that is helpful for the students and faculty members for gaining knowledge. |
| Hostel: The Icfai University, Dehradun-Uttarakhand provides a hostel facilities to all students with all the basic furniture provided. The hostel is well equipped with fans, bed, study table and a wardrobe. |
| Transport Facility: The The Icfai University has the transport facility for students and staff. |
| I.T Infrastructure: The The Icfai University has well-established computer labs with all the advanced IT Infrastructure facilities available for the students and faculty members of the The Icfai University. |
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| Job Position | Job Description |
| Machine Learning Engineer | Designs, builds, and implements machine learning algorithms for various applications. |
| Data Scientist | Collects, analyzes, and interprets large datasets to extract insights and inform business decisions. |
| Deep Learning Engineer | Specializes in developing and deploying deep learning models for applications like image recognition, natural language processing, etc. |
| AI Research Scientist | Conducts research in the field of AI, developing new algorithms and applications. |
| Robotics Engineer | Designs, builds, and maintains robots for various applications, including industrial automation, healthcare, and logistics. |
| Computer Vision Engineer | Develops algorithms and systems for analyzing and interpreting visual data (images and videos). |
| Natural Language Processing Engineer | Develops systems that can understand and process human language for tasks like chatbots, machine translation, etc. |
| AI Software Engineer | Develops software applications that integrate AI functionalities. |
| Business Intelligence Analyst | Uses AI and data analysis techniques to provide insights for business strategy and decision-making. |