The AIIT Exam, short for Artificial Intelligence and Information Technology Exam, is a comprehensive assessment designed to evaluate an individual’s proficiency in various aspects of AI and related information technology fields. This exam covers a wide range of topics, including:
Overview
Profound Learning Investigating neural systems, convolutional neural systems (CNNs), repetitive neural systems (RNNs), and other profound learning models.
Characteristic Dialect Preparing (NLP): Analyzing and handling human dialect utilizing AI procedures.Computer Vision: Applying AI to decipher and get it visual data, counting picture and video examination .Information Science: Dealing with and analyzing expansive datasets, information preprocessing, and information visualization.
Morals in AI: Getting a handle on the moral contemplations and dependable AI hones.
AI Applications: Investigating real-world applications of AI in different businesses like healthcare, fund, and independent frameworks.
Eligibility Criteria
The eligibility criteria for the AIIT Exam vary depending on the type of trade for which the candidate has undergone vocational training. However, in general, the following are the basic
eligibility criteria:
- The candidate must have completed the vocational training course from an Industrial Training Institute (ITI) that is recognized by the National Council for Vocational Training (NCVT).
- The candidate must have completed the training course within the prescribed duration.
- The candidate must have attended all the required practical and theoretical classes and have completed the requisite hours of on-the-job training.
- The candidate must have cleared all the internal assessments conducted by the ITI during the course of the training.
- The candidate must have a valid Aadhaar Card or any other valid photo ID proof.
It is important to note that the eligibility criteria may differ for different trades, and candidates must check the official notification or website of the exam for specific details.
Exam Pattern
Exam Name | Total Questions | Exam Duration | Subjects | Marking Scheme | Negative Marking |
---|---|---|---|---|---|
AIIT Engineering Exam | 150 | 3 hours | Physics, Chemistry, Mathematics | +4 for correct answer, -1 for incorrect answer | Yes (1/4 mark deducted) |
AIIT Medical Exam | 180 | 3.5 hours | Physics, Chemistry, Biology, | +4 for correct answer, -1 for incorrect answer | Yes (1/4 mark deducted) |
AIIT MBA Entrance | 200 | 2.5 hours | Verbal Ability, Quantitative Aptitude, Logical Reasoning | +4 for correct answer, -1 for incorrect answer | Yes (1/4 mark deducted) |
AIIT Law Entrance | 150 | 2 hours | Legal Aptitude, Logical Reasoning, GK | +3 for correct answer, -1 for incorrect answer | Yes (1/3 mark deducted) |
Application Process
Investigate and Select an Exam: To begin with, you would like to investigate and recognize the specific AIIT exam you need to require. Diverse organizations and institutions may offer distinctive AIIT exams, so be beyond any doubt to choose the one that adjusts together with your objectives and goals.
Check Qualification: Guarantee merely meet the qualification criteria for the exam. These criteria may incorporate educational qualifications, work experience, or other prerequisites. Perused the exam’s official documentation or visit the exam provider’s site for nitty gritty data on qualification necessities.
Enrollment: Once you’re qualified, you’ll ordinarily enroll for the exam online through the official site of the exam supplier. This may include making an account and giving individual data.
Application Expense: Pay the desired application expense, which can shift depending on the exam and the organization conducting it. Payment strategies may incorporate credit/debit cards, online managing an account, or other acknowledged shapes of installment.
Select Exam Date and Area: Select your favored exam date and area. A few exams offer different test dates and testing centers, so select the one that’s most helpful for you.
Survey Exam Syllabus and Ponder Materials: Familiarize yourself with the exam syllabus and suggested ponder materials. These materials may be accessible on the exam provider’s site or through suggested reading material and assets.
Plan and Think about: Devote time to get ready for the exam. This may include self-study, selecting in a planning course, or going to workshops and classes related to AI and IT.
Affirmation Ticket: After effectively enrolling, you ought to get an affirmation ticket or affirmation e-mail with points of interest almost your exam date, time, and area. Make beyond any doubt to keep this data secure and promptly available.
Syllabus
Artificial Intelligence (AI):
- Introduction to AI
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Reinforcement Learning
- AI Ethics and Bias
Information Technology (IT):
- Computer Systems and Architecture
- Operating Systems
- Data Structures and Algorithms
- Database Management Systems (DBMS)
- Networking and Internet Technologies
- Software Development Life Cycle (SDLC)
- Web Development
- Cybersecurity
Programming Languages:
- Proficiency in one or more programming languages (e.g., Python, Java, C++)
- Object-Oriented Programming (OOP) concepts
Data Science and Data Analysis:
- Data Preprocessing and Cleaning
- Data Visualization
- Statistical Analysis
- Data Mining and Machine Learning for Data Analysis
Information Systems:
- Information Systems Development and Management
- Business Process Analysis
- Enterprise Resource Planning (ERP) Systems
Important Dates
Event | Date |
---|---|
Notification Release | 23rd August 2023 |
Online Application Process | 5th September – 13th October 2023 |
Admit Card Release | 8th January 2024 |
Exam Date | 11th February 2024 (Sunday) |
Result Date | 22nd March 2024 |
Tips for Exam Preparation
- Study Materials: Start with foundational AI and ML resources like textbooks, online courses, and tutorials. Explore materials from reputable sources, such as universities and industry leaders like Stanford University’s online machine learning course or the Google AI/ML crash course.
- Hands-on Practice: Apply your theoretical knowledge by working on AI projects and experiments. Platforms like Kaggle, GitHub, and AI development environments offer excellent hands-on opportunities.
- Online Courses and MOOCs: Enroll in AI and ML courses on platforms like Coursera, edX, or Udacity, which offer specialized AIIT Exam preparation courses.
- Join Study Groups: Collaborating with fellow AI enthusiasts can provide valuable insights, resources, and support during your preparation journey.
- Practice Tests: Take advantage of practice exams and sample questions provided by the AIIT Exam board or other trusted sources to assess your readiness.
- Seek Guidance: Consider engaging with AI mentors or tutors who can provide personalized guidance and feedback on your progress.
FEES
Category | Fee |
---|---|
General Category | Rs. 500 |
SC/ST/PWD | Rs. 250 |
Female | Rs. 250 |
FAQ?
The AIIT Exam is a national-level entrance exam for admission to the AIIT, a premier institute of technology in India.
To be eligible to take the AIIT Exam, candidates must have passed the 12th standard examination with a minimum of 75% marks in Physics, Chemistry, and Mathematics.
There are a total of 120 questions in the AIIT Exam, with each question carrying 1 mark.
The AIIT is a premier institute of technology in India, and its graduates are highly sought-after by employers.
Conclusion
Within the period of AI-driven change, the AIIT Exam has risen as a basic venturing stone for people yearning to create a check within the world of manufactured insights. Winning this certification not as it were approves your AI aptitudes but moreover opens up a world of career openings. Be that as it may, it’s vital to approach the exam with a strong arrangement arrange, counting self-study, hands-on involvement, and looking for direction when required. With devotion and difficult work, the AIIT Exam can be your portal to a fulfilling career in AI and IT. So, why hold up? Set out on your AI journey nowadays and open the perpetual conceivable outcomes that this energetic field has got to offer.