Joshua Galyon
Today, modern technology is in no way possible without artificial intelligence and data science engineering.
Artificial intelligence and data science engineering together have reached great heights in the global industrial arena. The global artificial intelligence market size is valued at USD 136.55 billion in 2022 whereas the global data science industry was valued at USD 95.3 billion in 2021.
Are you someone who is interested in making a career entry into the AI and data science engineering industry?
Then, it is essential for you to read this blog to get to know the essentials of AI and Data Science in Modern Technology.
What is Artificial Intelligence and Data Science Engineering?
Artificial Intelligence and Data Science Engineering is a multidisciplinary field that combines principles and techniques from artificial intelligence, machine learning, data science, and computer science to develop intelligent systems and solutions that can analyze, interpret, and derive insights from large datasets.
AI works on developing intelligent systems with human intelligence factors but with higher efficiency while data science encompasses the processes and methodologies for extracting knowledge and insights from structured and unstructured data. It involves data collection, cleaning, preprocessing, analysis, visualization, and interpretation to support decision-making and solve complex problems.
How Essential is Artificial Intelligence and Data Science in Modern Technology?
Seamless inventions and upgrades in modern technology are made possible by artificial intelligence and data science engineering. Get to know some of the essential facets of AI and data science in modern-techno developments.
Machine Learning:
Machine Learning is one of the strongest children of AI and Data Science Engineering. ML is taking turns in a wide range of industrial aspects such as providing personalized recommendations in areas such as e-commerce, content streaming, and social media platforms.
For instance, suggestions made on platforms such as Netflix, Amazon, etc use machine learning.
Deep Learning Technology:
Deep learning technology is another leap in the artificial intelligence and data science engineering field. A subset of ML, deep learning involves neural networks with many layers (hence “deep”). It’s particularly adept at processing large volumes of data and is behind breakthroughs in image and speech recognition, natural language processing (NLP), and more.
Automation:
Automation is one of the remarkable modern technologies that has paved the way for easier life. This automation is greatly enabled by AI and data science engineering.
AI and data science enable the automation of repetitive tasks and processes across industries. Robotic process automation (RPA) uses AI algorithms to automate manual, rule-based tasks, freeing up human resources for more complex and creative work. This is evident in industries such as manufacturing, finance, customer service, and healthcare.
Healthcare Technology:
In healthcare, AI and data science are used for various applications, including disease diagnosis, personalized treatment, drug discovery, and patient monitoring. Machine learning models analyze medical data such as electronic health records, medical images, genomic data, and wearable sensor data to assist clinicians in making accurate diagnoses, predicting patient outcomes, and designing personalized treatment plans.
Beyond these, there are many other advancements in AI and data science in modern technology. These innovations in AI are made possible by expert minds with AI degrees at leading artificial intelligence and data science engineering colleges.
So, move on to learn about the first-level AI engineering courses that you should earn to make your career in AI.
Bachelor of Technology in AI and Data Science Engineering:
BTech in AI and Data Science engineering at top B Tech Artificial Intelligence colleges in India is the undergraduate level AI engineering course that deals with inculcating knowledge on data extraction strategies, algorithms, methodologies, and incorporation of acquired data in the development of automated systems and robotics using artificial intelligence.
This course is offered for a duration of 4 years at the best private colleges for BTech in India.
Here are further course details that you should know to seek admission for BTech AI at top colleges such as Arya College Jaipur.
Eligibility Criteria:
The basic eligibility criteria to pursue BTech AI and Data Science at the best private colleges in India are as follows:
- Candidates should be a minimum of 17 years of age.
- Candidates should have completed 10+2 with physics, chemistry, and mathematics as compulsory subjects along with one science optional subject.
- Candidates should have scored a minimum of 50% aggregate in 10+2.
Admission Procedure:
Admission to BTech AI at the best engineering colleges in India is provided on a merit basis or entrance exam basis.
Merit-based admissions are provided in certain BTech colleges in Jaipur and others while entrance-based admissions are provided considering exams such as JEE MAINS.
Syllabus:
The syllabus of BTech AI and Data Science at the best BTech colleges in India is curated by industrial experts with a notion to provide clear and in-depth AI education.
Here is the sample syllabus of BTech AI at the best engineering colleges in Jaipur.
| Core subjects | Elective subjects |
| Computer System ArchitectureData and Analysis of AlgorithmsData Communications and Computer NetworksWeb TechnologiesApplied Statistical Analysis for AI and MLNeural NetworksPattern RecognitionMachine Learning Language Processing | RoboticsAutomataDeep LearningSensorsInternet of ThingsC/C++JavaRoboticsOOPS LabWKSP 2.0 |
On getting to know the fundamental details of BTech AI at the best engineering colleges in Rajasthan and other states, here is an insight into the career scope of BTech AI.
Career Scope:
After your BTech AI at top B Tech colleges in Rajasthan and other states, doors to a wide range of job opportunities are unlocked.
Here are some of the career options after your BTech in AI and DS at leading colleges in Rajasthan and other states.
| Job Roles | Average Salary in India(INR) |
| Computer Vision Engineer | 6.9 LPA |
| Data Analyst | 6.24 LPA |
| Data Scientist | 7.3 LPA |
| Data Engineer | 8.4 LPA |
| Machine Learning Engineer | 6.7 LPA |
| Big Data Architect | 24 LPA |
| Business Intelligence Developer | 6.3 LPA |
| Robotics Programmer | 3.45 LPA |
| Software Engineer | 6.94 LPA |
| Information and Multimedia Designer | 3.5 LPA |
| Medical Information Scientist | 5.0 LPA |
| IT Specialist | 7 LPA |
| Information Network Manager | 7.88 LPA |
Taking up BTech AI and DS at top colleges in Jaipur and others will always be one of the best choices for your future career.
Conclusion:
Getting to the point of conclusion, we highlight that being a student or to-be student of artificial intelligence and data science engineering it is highly recommended for you to stay updated on the essentials of AI and data science in modern technology. Get to know the latest trends and developments in AI for better career opportunities.
FAQs:
1. What is the importance of AI in today’s life?
In today’s life, AI holds great importance with its major contribution to various industries such as Biotechnology, banking, education, healthcare, and much more.
2. Can I get a job after BTech Artificial Intelligence?
Yes, one can get a job after BTech Artificial Intelligence as a wide range of job opportunities such as data analyst, software engineer, big data architect, etc are available in the computer sector.
- What skills are required for AI engineering?
- Clear programming knowledge
- Machine learning ideas
- Coding skills
- Good mathematical skills
4. What career opportunities are available if you work with AI?
Some of the notable career opportunities in AI are as follows:
- Data Scientist
- Machine Learning Engineer
- Robotics Programmer
- Big Data Architect
