Introduction

Bachelor of Technology in Artificial Intelligence and Machine Learning (B. Tech AIML) is a trusted career option after 12th PCM. From the self-driving car to predictive algorithms in health care, it is transforming industries and is opening up new avenues of innovation. For students who are passing 12th grade under the Science stream, this B. Tech in Artificial Intelligence and Machine Learning offers the most exciting and future-proof career. The degree with a curriculum of programming, data science, robotics, and automation form a good foundation for different high-demand roles in the tech sector.

This article will cover all the various career opportunities in this field post B. Tech in AIML: courses, colleges, fee structures, eligibility criteria and private and government job options. Emerging trends and future scope will also be discussed as the field continues to grow and evolve to ensure complete guidance for AI and ML professionals.

Why choose B. Tech in AI and ML after 12th?

There are many compelling reasons why one would like to pursue a B. Tech AIML career option after 12th:

• Huge demand in AI Skills: There is massive demand in the tech arena, especially in AI and ML; most companies in this regard actively look for talent in all sectors.
• High Salary Potential: Most roles in AI and ML tend to be high paid within the tech industries. More importantly, this sector tends to advance your career really fast.
• Innovation and Problem Solving: AI and ML involve designing intelligent solutions to real-world problems. Thus, it would appeal to those interested in creative and analytical challenges.
• Global Opportunities: The skilled AI and ML graduates are in great demand in the world. One will have opportunities in both developing and developed countries.

Eligibility for B. Tech in AI and ML

The primary eligibility criteria for the students who consider pursuing B. Tech AIML career option after 12th are:

• 12th Grade with Science:

The Science stream, with Physics, Chemistry, and Mathematics, is usually mandatory.

• Minimum Marks:

Most colleges have a minimum marks requirement, which is usually around 50-60%.

• Entrance Exams:

Admission is usually through entrance exams like JEE Main, BITSAT, VITEEE, or institutional-specific entrance exams.

• Foundational Skills:

Strong analytical skills, problem-solving skills, and a good mathematical and computer science base are required.

Most Popular Courses after B. Tech AIML career option after 12th

Those who are pursuing a B. Tech in AI and ML have the option of either going for specialization with these courses or diversification of their skills by selecting advanced courses post their completion of this program. Some of these popular courses include:

• B. Tech in Artificial Intelligence or Machine Learning: It is a postgraduate program that takes about two years, where all those advanced AI and ML-related topics can be discussed and understood well, such as deep learning, reinforcement learning, and robotics.
• Postgraduate Diploma in Data Science: A postgraduate diploma that focuses on data analytics, predictive modeling, and machine learning applications.
• Master in Robotics: The degree is related to the intersection of AI and robotics. It is an ideal option for students interested in autonomous machines.
• Certifications in Deep Learning and NLP: The certifications include deep learning and NLP, which can be acquired through Coursera or edX for targeted learning in areas such as deep learning, NLP, and computer vision.
• Executive MBA in Artificial Intelligence: This is apt for those who are interested in management positions in the tech sector, which combines business skills with technical knowledge.

Best Colleges for B. Tech AIML career option after 12th

India has some of the best colleges that offer a B. Tech in AI and ML. Some of the leading colleges are as follows:

• Indian Institutes of Technology (IITs): IIT Hyderabad and IIT Delhi are the top institutes with high-standard AI programs and research centers.
• International Institute of Information Technology (IIIT): IIIT Hyderabad is well-equipped with special AI courses, and one of India’s best AI research centers can be found here.
• Vellore Institute of Technology (VIT): The AI and ML program by VIT has great industrial relevance due to the nature of its curriculum.
• Manipal Institute of Technology (MIT): MIT is well-known for its practical approach towards AI and ML. It is one of the top engineering colleges.
• SRM Institute of Science and Technology (Chennai): This institute has an advanced AI and ML program that caters to the needs of the industry.

Fee Structure for B. Tech AIML

The fee structure for B. Tech AIML career option after 12th varies greatly from one institution to another. Here’s a general overview:

    Private Colleges:

          Fee structure for B. Tech AIML after 12th are around INR 1,50,000 to INR 3,00,000 for the whole year, which changes with the reputation of the college and the                      available facilities.

   Government Colleges:

          At government colleges, fee structure for B. Tech AIML after 12th is a bit less and range between INR 40,000 to INR 1,50,000 per year

Scholarships and Financial Aid: Most of the colleges offer merit-based scholarships, government scholarships, and financial aid that reduce the burden on the eligible individuals.

Career options after B. Tech AIML:

Careers options for B. Tech AIML in Private Industry

There are various private sector job positions for graduates of a B. Tech in AI and ML. Just to name a few are:

• Machine Learning Engineer: They develop and deploy machine learning models. Their areas of operation include data-driven industries, finance, and retail.
• Data Scientist: Analyzes and interprets complex data to inform decisions. Data scientists who specialize in AI and ML are in great demand.
• AI software developer: Develops software applications where AI is integrated to solve problems, right from simple recommendation engines and predictive algorithm.
• Computer vision specialist: Works on developing AI-driven software applications, from recommendation engines to predictive algorithms
• Robotics Engineer: Designs and programs robots using AI, with applications in industries ranging from manufacturing to healthcare.

The major recruiters for AI and ML are Google, Microsoft, Amazon, IBM, Facebook, Accenture, Tata Consultancy Services (TCS), and many more.

Careers options for B. Tech AIML in Government Sector

AI and ML graduates can look at the government sector for prospects. Roles are available in all departments and initiatives. Some of the popular options are:

• AI Research Scientist: Works in government-funded research projects, particularly in defense, space, and healthcare.
• Technical Officer: This is technical input and solutions to various government departments such as the Ministry of Electronics and IT.
• Data Analyst in Public Sector: This gives support to public projects and helps in the formulation of policy and making of decisions by analyzing huge chunks of data.
• Intelligence Analyst: Such professionals work with defense and intelligence agencies like ISRO, DRDO, and national teams for cyber security. Their primary focus would be on security analysis and predicting threats.
• AI Consultant: Even government sectors recruit AI consultants for implementing machine learning models in public safety, transport, education, etc.

Jobs in the government sector require GATE or SSC or a departmental test according to the profile of AI and ML jobs

New Fields that open up after B. Tech AIML

Along with all the careers that are mentioned above, AI and ML open up innumerable new fields. They include:

• Computer Vision: It is on a boom in applications such as in the development of autonomous vehicles, security surveillance, and facial recognition.
• NLP: Developing applications like chat bots, virtual assistants, and real-time language translators.
• Deep Learning: It focuses on neural networks and advanced algorithms to develop intelligent systems. It has significant applications in tech-heavy sectors like robotics and automation.
• Reinforcement Learning: applies learning algorithms to design adaptive systems which is increasingly being used by the world of gaming and robotics along with autonomous machinery.
• Explainable AI and Ethical AI: This is mainly designing an AI model that’s easy to explain and support. Especially for healthcare finance, law enforcement, it’s one of the growing sectors of AI and Machine Learning

Trends and Scope of B. Tech AIML In The Future

The field of AI as well as Machine Learning evolves constantly with multiple trends working their way towards the AI and Machine Learning horizon

• AI in Healthcare: AI is revolutionizing healthcare through predictive diagnosis, personalized medicine, and drug discovery.
• Automated Manufacturing: Industries are adopting AI in robotics for assembly lines, quality control, and predictive maintenance.
• Ethical and Explainable AI: There has been an increasing focus on the development of transparent AI models to enhance accountability and trust.
• Enlargement of AI into Finance and Education: AI models are widely used in fraud detection, loan approvals, and personalized education.

Comparison: B. Tech AIML versus Other B. Tech Degrees

While choosing a tech degree, one needs to compare B. Tech in AI and ML with other similar programs like:

• B. Tech in Computer Science: A general program that covers various IT fields, whereas AI and ML are more specialized with a focus on algorithms, models, and intelligent systems.
• B. Tech in Data Science: Mainly targets on data analysis, big data, and business analytics. However, AI and ML major focus more on the predictive and adaptive models.
• B. Tech in IT: Courses are more on network management, database systems, and software engineering. There are relatively less focused subjects on machine learning or AI-specific courses.

B. Tech AIML Careers Skill Requirements

Succeeding in AI and ML careers demand a unique set of skills, among which include

• Programming Skills:  Proficiency in Python, Java, C++, and R for building algorithms and applications.

• Mathematics and Statistics: A good understanding of calculus, probability, and linear algebra, which are essential to construct ML models.
• Data Management: Awareness of data handling, cleaning, and processing.
• Critical Thinking and Problem-Solving: Strong analytical skills are required for solving complex problems in AI professionals.
• Communication Skills: The translation of technical findings into actionable insights for stakeholders.

Entrepreneurship after B. Tech AIML

Applying knowledge from AI and ML acquired at graduation, students have an opportunity to take an entrepreneurship job:

• New enterprises: Development of a technopark company focusing its work on AI products like health solutions, fintech or even customers’ automation.
• Freelance business: Freelance AI works with analytical data, development of predictive models or in building the software.
• Product creation: Creation of innovative products in collaboration with AI. In such products, it’s possible to include applications like mobile, advanced security system or numerous other things.

Average Pay Scale along with Growth Rate after B. Tech AIML

AI and ML professionals can look forward to competitive starting salaries that will increase with experience. Here’s an average salary range:

• Entry-Level: INR 4,50,000 – INR 8,00,000 per year.
• Mid-Level: INR 10,00,000 – INR 20,00,000 per year.
• Senior-Level: INR 25,00,000 and above per year.

The global demand for AI and ML professionals also provides rich opportunities abroad with countries like the USA, Canada, Germany, and Australia actively recruiting skilled graduates.

Conclusion

A B. Tech in Artificial Intelligence and Machine Learning is a forward-thinking choice for students after 12th grade. It prepares graduates for numerous high-paying, high-demand roles in both the private and public sectors, with promising career growth and global opportunities. With the right skills, students can enter cutting-edge fields like computer vision, robotics, and NLP, making a meaningful impact on various industries. For those looking to stay at the forefront of tech advancements, a career in AI and ML is an ideal choice.

FAQs

1. What are the eligibility criteria for B. Tech in Artificial Intelligence and Machine Learning?
   To pursue a B. Tech in AI and ML, students must have completed their 12th grade with a Science stream, typically with subjects like Physics, Chemistry, and Mathematics. Most institutions require a minimum score of 50-60%, and admission often involves passing entrance exams like JEE Main, BITSAT, or other university-specific tests. An analytical mindset, problem-solving skills, and a keen interest in technology are also highly beneficial.
2. Which entrance exams are necessary for admission into B. Tech in AI and ML programs?
   Admission to B. Tech in AI and ML programs in India often requires scores from entrance exams such as JEE Main, BITSAT, VITEEE, or other state and institution-specific exams like IPU CET or SRMJEEE. Some universities may conduct their own entrance tests or interviews, so it’s essential to check the requirements of each institution you’re interested in.
3. What are some of the career options after completing a B. Tech in Artificial Intelligence and Machine Learning?
   Graduates can pursue various careers in both the private and public sectors. Popular roles include Machine Learning Engineer, Data Scientist, AI Software Developer, Computer Vision Specialist, NLP Engineer, Robotics Engineer, and AI Research Scientist. There are also opportunities in government organizations, research institutions, and startups. With AI being a global field, international career prospects are also strong for graduates.
4. What is the average salary for a B. Tech AI and ML graduate?
   Starting salaries for B. Tech AI and ML graduates in India typically range between INR 4,50,000 to INR 8,00,000 per annum. With experience, professionals can earn anywhere from INR 10,00,000 to INR 20,00,000 at mid-level positions. Senior-level roles, especially those requiring specialized expertise, often pay INR 25,00,000 and above per annum. Salaries vary by role, location, and company, with opportunities abroad offering even higher compensation.
5. Are there government job opportunities for B. Tech graduates in AI and ML?
   Yes, AI and ML graduates have various career options in the government sector. Positions include AI Research Scientist, Data Analyst, Technical Officer, Intelligence Analyst, and roles in public sector units like ISRO, DRDO, and the Ministry of Electronics and IT. These roles typically involve passing exams like GATE, SSC, or other government recruitment tests.
6. Which skills are most important for a successful career in AI and ML?
   Key skills for AI and ML careers include proficiency in programming languages like Python, Java, and C++; a strong foundation in mathematics and statistics (e.g., calculus, probability); expertise in data analysis and data management; and knowledge of machine learning algorithms. Additionally, problem-solving abilities, critical thinking, and communication skills are valuable for translating technical insights to stakeholders.
7. What are some emerging fields for AI and ML graduates to consider?
   AI and ML graduates can explore emerging fields such as Computer Vision, Natural Language Processing (NLP), Deep Learning, Reinforcement Learning, Robotics, and Ethical AI. These fields are in high demand across sectors like healthcare, autonomous driving, finance, and public safety, providing graduates with a wide range of cutting-edge career options.
8. What are the advantages of choosing B. Tech in AI and ML over a general Computer Science degree?
   While a Computer Science degree provides a broad understanding of technology and IT fundamentals, a B. Tech in AI and ML specializes in the rapidly growing fields of artificial intelligence and machine learning. This specialization allows students to gain in-depth knowledge and skills specific to developing and implementing intelligent systems, often leading to more specialized and high-demand job opportunities.
9. Is it possible to work in non-technical roles after a B. Tech in AI and ML?
   Yes, graduates in AI and ML can find roles in non-technical fields as well. Many organizations require professionals who understand AI concepts to work in project management, product management, sales engineering, and consulting These positions involve bridging the gap between technical teams and business goals, making AI graduates valuable even in non-technical capacities.
10. What is the future scope for B. Tech in AI and ML graduates?
    The future for AI and ML graduates is promising, with increasing demand across sectors like healthcare, finance, automotive, and entertainment. Emerging technologies such as explainable AI, ethical AI, and automation continue to create new roles and opportunities. With advancements in AI, job prospects for skilled professionals are expected to expand further, making it an excellent field for long-term growth.
11. Are there opportunities for entrepreneurship after a B. Tech in AI and ML?
    Absolutely! Many AI and ML graduates choose entrepreneurial paths, starting their own tech companies, consulting businesses, or launching AI-driven products. Popular fields for startups include AI-based healthcare solutions, predictive analytics, automation tools, and e-commerce applications. With the rise in AI-powered solutions, there’s strong support for startups in AI through incubators, accelerators, and funding from investors