The stupendous outgrowth of technology in the world is outspokenly demonstrated by artificial intelligence. Significantly growing, the Artificial intelligence industry holds a global market value of USD 136.55 billion in 2022. With the latest trends such as ChatGPT, edge AI, Cybersecurity AI, and much more, the Artificial Intelligence industry is extending a great career scope for AI graduates in BTech in AI & ML.
This article is for AI students to stay updated on the future trends of Artificial intelligence and machine learning so that they hold a better career in the AI & ML industry.
| TABLE OF CONTENTS:
● Bachelor of Technology in Artificial Intelligence Course ● Top Colleges to Pursue BTech in Artificial Intelligence ● Upcoming trends in artificial intelligence and machine learning ● Conclusion ● FAQs |
Bachelor of Technology in Artificial Intelligence Course:
Artificial Intelligence and Machine Learning have grabbed more academic attention among students in recent years. Thus, 22.8% of engineering students in 2023 have opted for BTech in AI & ML at top colleges such as Universal AI University.
Here are the complete details of the BTech Artificial Intelligence course.
| Course Name | B.Tech Artificial Intelligence and Machine Learning |
| Course Description | BTech in AI & ML courses are designed to provide in-depth knowledge about the artificial intelligence and machine learning facets in the technological arena of the world. This course concentrates on automated systems, robotics, etc. |
| Course Level | Undergraduate level |
| Duration | 4 years |
| Mode | Semester |
| Eligibility Criteria | The basic eligibility criteria to pursue BTech Artificial Intelligence at the best AI engineering colleges in India are as follows:
● Candidates should have completed 10+2 with physics, chemistry, and mathematics as compulsory subjects and one optional science subject.
● Candidates should have scored a minimum of 50% aggregate in 10+2. |
| Admission Process | Admission to BTech in AI & ML is either merit-based or entrance-based.
Colleges providing merit-based admissions consider a 10+2 score.
Certain other colleges, such as Universal AI University, one of the best colleges for artificial intelligence, conduct entrance exams such as UBSAT and personal interviews to provide admission. |
| Average Fee | Around INR 1,00,000/- per annum |
| Higher Education Options | ● M.Tech in Artificial Intelligence
● M.Tech in Data Science ● M.Tech in Robotics ● M.Tech in Computer Network Engineering ● M.Sc in Artificial Intelligence ● M.Sc in Data Science ● M.Sc in Machine Learning ● M.Phil ● MBA |
Top colleges to pursue BTech in Artificial Intelligence:
As students’ choice has diverted towards BTech in AI & ML in recent years, many top colleges have stepped forward to offer the course. More than 1,000+ engineering colleges are offering BTech Artificial Intelligence courses; some of the best among them are as follows.
| Top BTech AI Colleges in India | Average Course Fee |
| Universal AI University | INR 3.98 LPA |
| IIT Kharagpur | INR 82,000 PA |
| IIT Gandhinagar | INR 2 LPA |
| IIT Delhi | INR 4.25 LPA |
Upcoming trends in artificial intelligence and machine learning:
As an artificial intelligence graduate in the best AI engineering colleges in India, everyone needs to know the future trends in AI & ML that are all set to slip the world to the next level of technological experience.
Here are some of the future trends of AI & ML.
Natural Language Processing (NLP):
Natural Language Processing is one of the growing domains of artificial intelligence. This domain is concerned with processing monotonous human dialogues and languages with the help of AI.
NLP combines computational linguistics, rule-based modelling of human language, statistical, machine learning, and deep learning models to enable computers to process human language in text or voice data and understand its whole meaning, complete with the speaker or writer’s intent and sentiment.
Some of the popular NLP tools that every BTech in AI & ML student should know are as follows:
- OpenAI
- Gensim
- SpaCy
- IBM Watson
- Natural Language ToolKit (NLTK)
Hyper Automation:
Another hit formula designed in the AI & ML industry is hyper-automation.
Hyperautomation is concentrated on cultivating an automated regimen for effectively functioning mundane, repetitive tasks in the corporate arena using artificial intelligence, machine learning and robotic process automation (RPA).
As per reports, incorporating hyper-automation in organisations with redesigned processes will reduce operational costs by as much as 30% by 2024.
Exploring this future trend in AI & ML will be a boon to the BTech in AI & ML students as it can be a great entry point for a career in the AI & ML industry.
AI-driven Cyber Security:
With the increasing digital data management, cyber security is becoming a fundamental demand for all organisations. As per statistics, as of 2022, 499.33 million ransomware attacks have been experienced by global organisations, which is a significant threat to cyber security.
Extending ears to this issue, AI and ML have stepped in to lay off cyber attacks. AI-driven tools are developed to maintain cyber security, wherein these tools run through data from all possible sources and incorporate algorithms that scan for unusual patterns or suspicious activities.
It is high time for BTech in AI & ML students to gain a complete idea about this AI & ML facet as this can turn into a significant AI career domain in the upcoming future.
As we see, there are further AI & ML trends in various fields such as healthcare, construction, education and much more to make the world a better place each day.
As per statistics, the artificial intelligence and machine learning industry is expected to hit higher with a global market value of USD 1,591.03 billion by 2030 with a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030. Manu future trends are yet to emerge in the AI & ML industry, so stay tuned to learn more.
Conclusion:
As the artificial intelligence and machine learning industry has been making wholesome progress in recent years, it has gained light as one of the promising career pathways. Students can confidently step up to take BTech in AI & ML at the best AI engineering colleges to have an impeccable career in the techno-face of the global arena.
FAQs:
1. Which is better, B.Tech AI and ML engineering or B.Tech Computer Science Engineering?
If the student wants to learn and explore the trending automated systems with computer nuances, then B.Tech AI and data science engineering is better. On the other hand, if the student wants to learn traditional computer science engineering, then B.Tech Computer Science Engineering is preferable.
2. What is the career of AI and ML?
Career in AI and ML is so diverse that it offers job opportunities in various industries such as healthcare, BFSI, agriculture, manufacturing, cybersecurity, etc.
3. Does AI require coding skills?
Yes, artificial intelligence requires coding skills to program and develop advanced algorithms that overcome human limitations.
4. What is the salary range of AI professionals in India?
The average salary range of AI professionals is between INR 3 LPA and INR 14 LPA.
