Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning - Darshan University

BTech Artificial Intelligence and Machine Learning: Course Highlights

What is BTech Artificial Intelligence and Machine Learning about?

In essence, the B.Tech undergraduate program, which is based on Artificial machine learning and intelligence is focused on programming machines. It assists the candidate to communicate with the machine in its mother language. This means that in the program, the candidate has to learn these specific languages that are used to modify the capabilities of machines.

This is just one of many facets of this program. A lot more is taught in addition to these basic subjects. Many aspects that aid the student to understand the function of computers are covered in this class, for example, information related to knowledge representation models, probabilistic models, and reasoning methods are taught to the students from the computer's perspective.

The applicants don't just study artificial intelligence, they are also familiar with more intricate aspects of the discourse. For example, they are taught about deep learning, human-computer interaction, and Augmented Reality. Some institutions also offer students interdisciplinary courses in the program. Students might be required to study advanced computing, internet functioning and computer networks, psychology marketing a computer program, and robotics.

It's not a new phenomenon however, in recent years, with the advent of the internet, a new age of automation also progressed. The demand for artificial intelligence is exploding. The largest companies in the world are based on programming, for example, Facebook Google in the world player, and Wipro among others. Indian IT companies are likely to employ individuals who have graduated from this undergraduate program. This could provide plenty of opportunities for graduates once they enter the service industry.

Why Study BTech Artificial Intelligence and Machine Learning course?

The global market since the introduction of smartphones and the internet has been swaying towards the use of artificial intelligence. In the present age of automation, machines are needed for performing a variety of tasks. The lives of people in our current world are dependent on the working of these machines.

(1). The market portion of artificial intelligence is predicted to grow by USD 190.61 Billion in 2025.

(2). AI in the present world is everywhere It has found its way into the service sector on a variety of levels.

(3). In today's automated world, it is very uncommon to find a single sector or horizon unaffected by AI.

This will allow the candidates to get these highly desirable jobs that are bound to increase over time.

BTech Artificial Intelligence and Machine Learning Admission Process

BTech Artificial Intelligence and Machine Learning Admission to the course is generally processed in two ways. An institute may organize an entrance exam, or scrutinize the applicant's merits by analyzing their performance in matric 10+2 examinations. Some institutes have their entrance tests that are solely focused on the distribution of seats for the course. Other institutes offer similar BTech Artificial Intelligence and Machine Learning Entrance Exams but they also take into account the performance of candidates in other India broad exams, like JEE to determine if they can grant admission. The steps to follow related to the admission process are given below.

Step 1: The candidate needs to pass their 10+2 examination with at least 50%. This percentage could differ however it's the same for the majority of institutions. After achieving this, he is eligible to sit for entrance exams to register shortly.

Step 2: Different institutes offer different entrance exams, to be eligible for admission to an IIT the applicant must pass the IIT JEE Advanced exam. Some universities such as Chandigarh University offer their tests that are required to pass to gain a seat. Similarly, universities like Indraprastha take into consideration the scores of applicants both in their university exams and in all India large exams such as JEE.

Step 3: After that, the candidate is required to pass the counseling process, and some institutions may even have an individual interview stage that may require clearance from the student.

B.Tech AI & ML Eligibility Criteria

The eligibility criteria for a BTech program in Artificial Intelligence and Machine Learning typically require candidates to have completed their higher secondary education with a strong background in mathematics, physics, and computer science. Additionally, proficiency in programming languages such as Python and a keen interest in artificial intelligence concepts are often sought after. Some institutions may also require applicants to clear entrance exams or interviews to assess their aptitude for the program.

As previously mentioned, the eligibility criteria for this particular undergraduate varies depending on the college. However, there are a few requirements that are necessary to complete this undergraduate course at the majority of institutions. This criterion is discussed further below.

(1). Candidates must pass the 10+2 test in the PCM field, or from an approved state or central education board.

(2). The candidate must have scored an average of 50% marks in his matric exam 10+2,

(3). Candidates from the SC/ST category are admissible after getting the required 45% marks in their matric exams.

(4). Additionally, specific university tests must be passed in order in order to be deemed suitable for the course.

B.Tech AI & ML Top Entrance Exams

The B.Tech entrance exams for Artificial Intelligence and Machine Learning programs typically cover a range of topics including mathematics, computer science fundamentals, algorithms, and programming languages. Additionally, candidates may be assessed on their understanding of AI and ML concepts, problem-solving abilities, and logical reasoning skills. These exams aim to identify candidates with the potential to excel in these fields and contribute to the advancement of artificial intelligence technologies.

B.Tech AI & ML How to Prepare for Entrance Exam

These steps can be used as stepping steps for preparing your entrance exam for the particular undergraduate course.

(1). Most importantly, the candidate must first mark his calendar with the dates for the exams the candidate would like to pass in addition to obtaining the most important information about these exams, such as the admission forms, the syllabus, and the eligibility criteria.

(5). A few weeks before the exam, the candidate should spend time in revision to consolidate the knowledge he has absorbed during his preparation.

How to Get Admission in Top College

(1). Search for the colleges that you'd like to go to, and then make a comprehensive list of the details regarding those colleges.

(2). Determine the admission procedure based on the eligibility criteria before filling in the admission form.

(3). Fill in the form for admission. There are a variety of net centers that could assist the candidate in filling out their forms in a proper manner.

(4). The candidates then should keep a copy of their 10+2 marking sheet handy because it is required on most forms. Other necessary documents should be kept by the candidate in both soft and hard copies of forms.

(5). The candidate shall mark updates about the exam. Additionally, they should keep the dates of admissions in mind. Take the test

(6). After passing the exam, the candidates may be required to take part in an individual interview. Some institutes may even conduct group discussions at this point.

(7). After getting your name listed on the admissions list of the college you wish to attend, you will be required to pay the fees listed within time. This will be the final step in confirming your admission to the college you prefer.

B.Tech in Artificial Intelligence and Machine Learning Syllabus

B.Tech Artificial Intelligence and Machine Learning Top Colleges

The BTech Artificial Intelligence and Machine Learning top colleges that offer this four-year undergraduate program in Artificial intelligence and machine learning are listed below.

B.Tech Artificial Intelligence and Machine Learning College Comparison

When comparing colleges offering a B.Tech in Artificial Intelligence and Machine Learning, it's essential to evaluate factors such as accreditation, faculty expertise, curriculum comprehensiveness, infrastructure quality, industry collaborations, research opportunities, placement records, practical learning facilities, reputation, and student support services. These elements collectively shape the educational experience and can help prospective students make informed decisions aligning with their academic and career aspirations in AI and ML.

This is a table of analysis of colleges that offer B.Tech in Artificial Intelligence and Machine Learning --

BTech Artificial Intelligence and Machine Learning Course Comparison

B.Tech in Artificial Intelligence and Machine Learning vs B.Tech in Computer Science and Engineering

B.Tech Artificial Intelligence and Machine Learning Jobs

There are numerous opportunities that await those who are a B.Tech graduate in the field of artificial intelligence and machine learning. some of the largest corporations in India and abroad are looking to employ these graduates.The following companies are among them:

• Google
• Facebook
• Wipro
• IBM
• NIIT
• Oracle
• Genpact
• HDFC Bank

• Machine Learning Engineer
• Big Data & AI Architect
• Big Data Scientist
• Artificial Intelligence Engineer
• Research Engineer - Artificial Intelligence
• Data and AI Consultant
• Robotics Professional

Job profiles for those jobs are in the following order:

B.Tech Artificial Intelligence and Machine Learning Future Scope

The future scope for graduates with a B.Tech in Artificial Intelligence and Machine Learning is incredibly promising. As AI and ML continue to revolutionize various industries, there is a growing demand for professionals skilled in these areas. Graduates can pursue careers in fields such as healthcare, finance, automotive, cybersecurity, and more. They can work as data scientists, machine learning engineers, AI researchers, robotics engineers, and AI consultants, among other roles. Additionally, with advancements in technology, there are ample opportunities for innovation and entrepreneurship in AI-driven startups. As AI and ML become increasingly integrated into society, the demand for skilled professionals in this field is expected to soar, offering exciting and rewarding career prospects for B.Tech graduates in Artificial Intelligence and Machine Learning.

BTech Artificial Intelligence and Machine Learning: FAQs

Q. What is B.Tech in Artificial Intelligence and Machine Learning?

Ans. B.Tech in Artificial Intelligence and Machine Learning is an undergraduate program that focuses on the principles, techniques, and applications of AI and ML. Students learn about algorithms, data analysis, neural networks, and other AI-related concepts to develop intelligent systems.

Q. What are the career prospects after completing B.Tech in AI and ML?

Ans. Graduates can pursue careers as data scientists, machine learning engineers, AI researchers, robotics engineers, AI consultants, and more. They can work in various industries such as healthcare, finance, automotive, cybersecurity, and retail.

Q. What subjects are covered in the B.Tech AI and ML curriculum?

Ans. The curriculum typically covers subjects like data structures, algorithms, machine learning, deep learning, natural language processing, computer vision, robotics, and AI ethics. Students also undertake projects and internships to gain practical experience.

Q. Are there any prerequisites for pursuing B.Tech in AI and ML?

Ans. While not mandatory, a strong background in mathematics, statistics, and programming is beneficial. Familiarity with concepts like calculus, linear algebra, probability, and Python programming language can help students grasp AI and ML concepts better.

Q. What are the research opportunities available in this field?

Ans. B.Tech students in AI and ML can engage in research projects under faculty guidance. They can explore topics like reinforcement learning, generative adversarial networks, explainable AI, and AI for social good. Participation in conferences, workshops, and hackathons also provides exposure to the latest research trends.

Q. How can I prepare for a career in AI and ML during my B.Tech studies?

Ans. Apart from academic coursework, students can enhance their skills by working on personal projects, participating in coding competitions, attending workshops, and pursuing certifications in AI and ML. Building a strong portfolio and networking with professionals in the field can also boost career prospects.

Q. Is there any industry collaboration or placement assistance provided by colleges?

Ans. Many colleges have collaborations with industry partners and offer placement assistance to students. They conduct campus recruitment drives, invite guest lectures from industry experts, and facilitate internships with leading companies in AI and ML.