Last updated: 29 Oct 2020
Artificial Intelligence (AI) is arguably the most transformative technology available to mankind today. Artificial Intelligence and Machine Learning have the potential to completely disrupt most industries and organisations, which means that everyone needs to understand the basics of this fast-evolving field and consider the implications on their career and business.
Artificial Intelligence is creating more impact than the invention of the personal computer and the spread of mobile phones. Rather than trying to embody machines with everything they need to know upfront, the artificial intelligence professionals help the machines to learn from the observations happening around.
The B.Tech/BE Artificial Intelligence is an undergraduate degree that is divided into 8-semesters. The course deals with the study of intelligent agents. The course trains the students on various aspects such as AI machines, computer systems, and mimicking cognitive functions that humans associate with the human mind.
The main aim of the course is to analyse the environment and perform actions, which will maximise its chances of success. The course is the combination of different engineering disciplines such as electronics, computer science, mechanical fields.
The students who have passed PUC or 10+2 with a science background can join B.Tech/BE courses. The students interested in joining B.Tech/BE courses are required to qualify competitive exams like CET/COMED-K/JEE with high marks in order to get merit seats in various colleges.
The students with relevant qualifications can join B.Tech/BE courses by two modes. The first one is Merit based admission and the second one is Direct admission.
Let’s discuss in detail
The students who are interested to join B.Tech/BE Artificial Intelligence degree should mandatorily appear for CET/COMED-K/JEE or institutional-based entrance exams and undergo counselling to choose their desired colleges for merit seats. The engineering college allotts the merit seats to the students according to their rankings and marks obtained by them in their entrance exams and marks scored in PUC or 10+2.
There are two types of counselling for the B.Tech/BE students
1. Karnataka Examination Authority (KEA) Counselling
The students who are interested to join the government engineering colleges and other engineering colleges affiliated to the government should undergo the counselling procedures of Karnataka Examination Authority (KEA).
The students who intend to join for the merit seats under government quota are required to complete the counselling procedures and join for the B.Tech/BE programmes in their chosen colleges. The Engineering colleges under the Karnataka Examination Authority (KEA) are affiliated to the Visveswaraya Technological University (VTU).
2. COMED-K Counselling
The students who are interested to join the private autonomous engineering colleges and deemed universities that are affiliated to All India Council for Technical Education (AICTE) are required to apply for the COMED-K counselling procedures. The students should qualify the COMED-K counselling procedures to get admission to their desired private autonomous engineering colleges or deemed universities for Engineering programmes.
The students have another option of getting admission to B.Tech/BE Artificial Intelligence course by direct admission process. Under this mode of admission, the students are given direct admission to their desired colleges under management quota. The direct admission students enjoy many special privileges like that they are not required to apply for any entrance exam for getting admissions. They have an option to choose their desired colleges and universities and book their seats in advance even before the starting of the academic year. The students who are interested in direct admissions are required to contact Galaxy Educational Services for more details.
The fresh B.Tech/BE Artificial Intelligence students will be studying the following subjects during their course duration.
| Sl No | Subjects of Study |
|---|---|
|
1. |
Engineering Mathematics |
|
2. |
Engineering Physics |
|
3. |
Problem Solving Through Programming |
|
4. |
Engineering Graphics |
|
5. |
Engineering Chemistry |
|
6. |
Basics of Electrical Engineering |
|
7. |
Data Structures |
|
8. |
Fundamentals of Business Management |
|
9. |
Discrete Maths & Graph Theory |
|
10. |
Programming in Java |
|
11. |
Computer Architecture and organisation |
|
12. |
Data Communication & Computer Networks |
|
13. |
Operating Systems |
|
14. |
Mathematics & Statistics for Machine Learning |
|
15. |
Introduction to AI & Machine Learning |
|
16. |
Python Programming |
|
17. |
Software Engineering and Agile Methodologies |
|
18. |
Web Programming Fundamentals |
|
19. |
Data Warehousing and Mining |
|
20. |
Advanced Machine Learning |
|
21. |
Design and Analysis of Algorithm |
|
22. |
Deep Learning Fundamentals |
|
23. |
Computer Vision & Image Processing |
|
24. |
Natural Language Processing |
|
25. |
Data Visualisation & Storytelling |
|
26. |
Application of AI |
|
27. |
Social Network Analysis |
|
28. |
Implementation of AI Projects |
|
29. |
Deep Learning with Pytorch |
|
30. |
Deep Learning with Keras and TensorFlow |
|
31. |
Reinforcement Learning |
|
32. |
Recommender Systems |
|
33. |
Speech Recognition & Conservational Systems |
|
34. |
Robotics |
|
35. |
Fundamentals of Cybersecurity |
|
36. |
Cloud and Distributed Computing |
|
37. |
Animation & CGI Motion |
|
38. |
Network Defence for Cybersecurity |
|
39. |
Information Security Governance |
|
40. |
Robotic Process Automation |
|
41. |
Blockchain |
|
42. |
Internet of things (IoT) |
|
43. |
CNN RNN for NLP |
There are ample job opportunities for B.Tech/BE Artificial Intelligence students. They are required in large numbers in diverse job organisations.
The fresh B.Tech/BE Artificial Intelligence students will be earning around 5 lakhs to 10 lakhs per annum. The experienced professionals will be earning around 6 lakhs to 12 lakhs per annum.
Some of the top organisations hiring B.Tech/BE Artificial Intelligence engineering students are:
Some of the job roles available are:
Artificial Intelligence Engineer: As an AI engineer one is responsible to build AI models from scratch and help the different components of the organisation. They are also responsible for building data ingestion and data transformation infrastructure. They are required to automate infrastructure that the data science team uses.
Machine Learning Engineer: As a Machine Learning Engineer one is responsible to perform statistical analysis, fine tuning of test results. He/she is also responsible to train and refrain ML systems by working on different frameworks. They are required to undertake machine learning test experiments and fix the bugs that they come across during their tests.
Data Scientist: The Data Scientists work closely with business stakeholders to understand their goal and determine how data can be used to achieve those goals. They design data modelling processes, create algorithms and predictive models using different AI and ML techniques, to extract the data required for the business needs. They help to analyse the data and share insights with peers for new business developments.
Data Engineers: The data engineers are vital members of the analytics team in an organisation that works on machine learning projects. The data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise using AI and ML technologies. They are responsible to build algorithms to help give easier access to raw data to the technical team using artificial intelligence and machine learning techniques.
The demand for B.Tech/BE Artificial Intelligence students is huge. They are required in large numbers in different organisations. They are highly paid professionals and can expect excellent career growth in the field. The students who are interested in artificial intelligence can join this course.
