Quick Summary
Artificial intelligence (AI) technology, involves techniques for mimicking human behaviour. A branch of AI, machine learning (ML), enables computers to learn from historical data without explicit programming, a concept that never fails to inspire. This practical application of science and mathematics principles is what makes the B Tech in Artificial Intelligence and Machine Learning course an exciting option for those interested in the field.
The undergraduate B.Tech in Artificial Intelligence and Machine Learning is a four-year program. It will improve your programming, coding, database, and web development skills and broaden your understanding of computer technologies. After enrolling in this program, you will be exposed to a wide range of activities and projects like developing chatbots, learning Python, and so on.
The global market for artificial intelligence and machine learning is anticipated to expand at a compound annual growth rate (CAGR) of 23% between 2023 and 2028. Through this course, students learn both theoretical and practical skills, which they can then use to develop a variety of career opportunities.
The B.Tech in Artificial Intelligence program is an innovative undergraduate course that aims to give students an integrated vision of AI and Machine learning. With a focus on probability and applied statistics, you are introduced to real-world applications of artificial intelligence and machine learning (AIML) at the start of the first semester. This enables you to optimize models and solutions by allowing you to think about AIML applications from a theoretical and practical perspective.
The B.Tech in artificial intelligence offers a wide range of studies at the cutting edge of Artificial Intelligence (AI), building on a foundation in Computer Science and Engineering. The four-year full-time course will give you a hands-on experience with modern technologies. You will learn how to create apps using AI tools to solve problems and enhance decision-making. The curriculum focuses on the foundations of Computational Mathematics, basic areas of Computer Science, and the newest developments in AI and machine learning. Core Computer Science classes will help you keep up with IT’s constantly changing needs.
Artificial intelligence can potentially improve decision-making in a wide range of other industries. AI in health care will provide predictive analytics, treatment plans customized to the patient, and diagnosis. AI will definitely transform the manufacturing segment through process automation and building quality. While AI in the education industry is gathering rapid momentum, it lays a foundation for an industry that is inducing innovation, reducing costs, and increasing productivity in a new age.
The B.Tech in artificial intelligence course syllabus is designed to impart all-round education in Artificial Intelligence.
A recently emerged discipline known as artificial intelligence and data science engineering focuses on scientific methods, procedures, and strategies to extract knowledge from structured and unstructured data. These domains include statistics, cognitive science, computing, and information science. It is a specialized field that works with creating tools for data visualization, big data analysis methods, and data-driven solutions.
There are many new, evolving careers in AI and data science. After completing your studies, you can choose to be an AI engineer, Data Scientist, Machine Learning Engineer, Robotics Engineer, or AI Researcher. This includes various positions across industries like health, finances, retailing, transportation, and the education sectors. Integrating AI and data science into the tech-savvy world is advancing innovation and efficiency.
Generally, you must complete higher secondary courses in science, particularly Math, Physics, and chemistry, to be eligible for AI courses after 12th grade.
Admission to the AI courses generally follows a structured prescribed process. Here’s a step-by-step guide:
1. Application Form: You must complete the application form on the official website of the respective colleges or entrance examination boards.
2. Entrance Exam: The student needs to appear for the respective entrance exam, which comprises JEE Main, JEE Advanced, or the state-level tests.
3. Results: Results generally come out within a month of the examinations.
4. Counseling: Candidates who meet artificial intelligence course eligibility based on rank and scores will be called for counseling sessions.
5. Choice Filling: During counseling, you must select the college and course of your choice.
6. Seat Allocation: Seat allocation will be based on a candidate’s rank, scores, and preferred institutions per the candidate’s input.
7. Document Verification: Document verification will be conducted after allotting seats.
8. Fee Payment: One has to clear the admission fee to confirm the seat.
Ensure you know all the details of the admission process, such as dates and deadlines. Usually, the concerned authorities/ colleges release a notification containing the due dates of application, examination, and results. Upon successful qualification, the candidate can further sit for counseling and enroll themselves in the top institutions.
Several top-notch institutions in the country offer B.Tech in Artificial Intelligence. Here’s an overview of some of the Artificial Intelligence colleges in India.
Renowned for its exceptional standing in engineering and technology education, IIT Bombay, via its Department of Computer Science and Engineering, offers a distinguished program—B.Tech in Artificial Intelligence. The institute also provides students with access to state-of-the-art research facilities and infrastructure, creating an environment that is favorable to their learning and exploration of the field of artificial intelligence.
A thorough B.Tech in artificial intelligence and data science program is available at IIT Delhi. IIT Delhi works with partners in the industry to make internships and placements possible. The knowledgeable faculty members support students’ academic growth by actively participating in AI research.
A well-known university with an emphasis on statistics and related fields, ISI Kolkata, offers integrated undergraduate programs (B.Stat/B.Math) with courses on AI through its Computer Vision and Pattern Recognition Unit. Additionally, the institute offers an M.Tech program in computer science with an AI concentration. Prioritizing research, ISI Kolkata allows students to work with faculty members who are experts in AI on cutting-edge projects.
VIT offers a combined five-year program in data analytics and computational statistics at the postgraduate level. Along with many other specializations in B. Tech CSE programs like IoT and Data Science, they also offer B. Tech programs in Artificial Intelligence and Machine Learning. The VIT campuses in Chennai and Bhopal both offer these programs. The college works on projects with prominent business people to keep the courses useful and up to date. All applicants must pass the college-administered VITE exam to be considered for admission to the B.TECH in Artificial Intelligence and Data Science program.
Combining the study of CS with AI imparts a student with a very strong base and prepares you for a career in any tech company.
Here are some of the advantages Of blending computer science and artificial intelligence:
1. IIT Madras: Conducts a dual degree (B.Tech + M.Tech) integrated program in CS and AI with advanced research and development of AI.
2. IIT Bangalore: This integrated M.Tech. is in both the Computer Science and AI domains, and its uniqueness is in the strong applications and projects done by industries.
3. Amrita Vishwa Vidyapeetham: Offers a B.Tech program in Computer Science with an AI niche. Core CS is included, and artificial intelligence electives are also included.
The graduates from B. Tech Programs in AI and related fields in current times have a versatile and bright career path. They can take on assignments related to the AI engineer position, where they are responsible for developing and deploying AI models that help resolve complex problems and bring business efficiency. Data scientists play a central role in drilling into these massive data sets to extract useful insights and drive strategic decisions.
While machine learning engineers design and execute machine learning algorithms necessary for creating intelligent systems and applications, postgraduates can apply for the position of research scientist to help in cutting-edge AI and robotics development. This interdisciplinary nature of their education equips them with deep technical expertise. A profound understanding of AI’s ethical and societal implications can drive innovations to achieve sustainable developments within the digital age.
After obtaining a degree in AI, the graduates will be able to have a dynamic career ahead of them, as they can develop professionally within different industries and technologies.
AI graduates can work for AI engineers, data scientists, machine learning engineers, or research scientists. Here, AI engineers develop AI models and systems while data scientists analyze data for deduction. Machine-learning engineers are oriented toward algorithm development, while research scientists innovate in AI and robotics.
Due to increased demand, healthcare, finance, automotive, retail, and technology are the industries currently hiring AI talent. These industries are the key beneficiaries of AI enhancement through better decision-making, process automation, and enhanced customer experiences.
Salaries for AI professionals differ because of their roles and experience. With a few years of experience, a normal entry-level job can usually get you starting pay of around ₹6-10 lakhs per annum in India and well above ₹20 lakhs per annum for senior roles. As the applications of AI increase, so does the demand, and hence, career growth has very good potential in the future. This can lead you to opportunities in domain areas for a more advanced stage in the profession and working towards leadership positions.
Graduates may undertake further M.Tech or Ph.D. in AI, Machine Learning, Data Science, or related fields. Further education opens expert capabilities and the gateway toward specialized roles in research, academia, and industry leadership. Specializations include Natural Language Processing, Computer Vision, Robotics, and Ethical AI.
These will provide the necessary specialization in a relevant industry requirement and relevant technological advancement, providing specialization in a chosen field that will best serve personal interests and professional goals.
There are numerous benefits of pursuing an advanced B.Tech in artificial intelligence:
B.Tech in artificial intelligence can open a world of innovation and opportunity. Since artificial intelligence is quickly reforming industries and society, students with qualifications in AI are currently in demand. Choosing the correct college and program is crucial, considering the facilities, industry relationships, and curriculum. Search for reputed institutions with highly professional AI programs. Institutes like the Indian Institutes of Technology (IITs) and others can offer a strong education and increase job opportunities.
While becoming an AI professional, you should constantly update yourself with technology and get hands-on experience in practical projects and internships. The best way to find opportunities and new ideas is to connect with experts in your field and join AI groups. Take this advanced course that plays a key role in different fields; it will help you make new, sustainable changes in the world. With dedicated passion, a career in AI promises to be rewarding and impactful in framing technology’s future.
Most universities list machine learning, data science, neural networks, robotics, natural language processing, computer vision, and deep learning as core subjects. Foundation courses cover programming, data structures, algorithms, and mathematics. They also include electives, lab work, projects, and internships.
To be eligible for AI courses after 12, students must have cleared high school education with a science background; particularly, it should involve mathematics, physics, and chemistry. Most entrance examinations or colleges require 75% in the higher secondary for eligibility. Admissions are directed through entrance, such as JEE Main, JEE Advanced, or other state engineering examinations.
Here are some of the top colleges offering a B.Tech in Artificial Intelligence program across the country:
1. Indian Institute of Technology (IIT) Hyderabad
2. Indian Institute of Technology (IIT) Bombay
3. Indian Institute of Technology (IIT) Delhi
4. Indian Institute of Information Technology (IIT) Allahabad
5. Vellore Institute of Technology (VIT)
Graduates can work in the fields of AI Engineering, Data Science, Machine Learning Engineering, Robotics Engineering, and AI Research. They can work across domains like health care, finance, automotive, technology, etc., holding positions ranging from AI developers to data analysts.
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