The B Tech in Artificial Intelligence and Machine Learning (AI & ML) was created to show students how to manage and develop a career in one of the most innovative fields.
This program offers a step-by-step development of knowledge from basic AI principles to high-end machine learning models and their applications.
This article will examine the B Tech Artificial Intelligence And Machine Learning, Course Details, Eligibility Criteria, And Admission Process program in detail, including the course structure, eligibility and application procedure.
Further, we will examine the employment opportunities that the graduates will enjoy, the salary expectations, and the top employers in the industry.
Program Overview: The Future of Technology
B Tech in Artificial Intelligence and Machine Learning (AI & ML)
Duration: Generally takes four years (8 semesters).
Curriculum Focus: Basic understanding of core areas of artificial intelligence and machine learning, including data mining, tools and technologies related to the industry, and industry-based projects
Critical Skills Developed: Application of machine learning, data science techniques and artificial intelligence to the real world.
Core Subjects And Skills
Core Subjects
- Machine Learning is a branch of artificial intelligence that concerns giving computing systems the ability to learn from a given data set and then make intelligent decisions.
- Artificial Intelligence: Introduction to AI (natural language processing, computer vision, and AI robotics).
- Data Science: Choosing strategies, collecting, evaluating, and interpreting data in a way that will facilitate and enhance decision-making.
- Algorithms and Data Structures: Basic concepts of how to create fast algorithms and data structure design.
Skills Acquired
- Algorithm Design: Algorithms development with the ability to implement machine learning algorithms.
- Data Analysis: Large-magnitude dataset analysis to yield valuable knowledge.
- AI Application Development: Competence to help create and incorporate AI applications across various platforms.
Additional Skills
- Computer Literacy: Familiarity with most programming languages used in AI and ML, such as Python and R.
- Statistical Analysis: Survey of statistical analysis for data science and machine learning.
- Problem-Solving: Implementation of AI and ML technologies to resolve issues.
Curriculum Highlights : Cutting-edge And Comprehensive AI & ML Curriculum
| Year | Subjects | Description |
| 1 | Mathematics, Introduction to Programming | Foundation courses to build essential skills |
| 2 | Data Science, Machine Learning | Intermediate courses focusing on core AI and ML concepts |
| 3 | Artificial Intelligence, Algorithms | Advanced courses integrating AI and ML applications |
| 4 | Capstone Project, Internship | Practical application through projects and real-world experience |
Eligibility Criteria: Who Can Apply?
Educational Qualification
Completion of higher secondary education (10+2): Mathematics and Science should have been taught.
Minimum Marks
Usually, 50-60 % of the aggregate is in mathematics and science.
Entrance Exams
- JEE Main: A single entrance exam admits candidates to engineering courses.
- BITSAT: Admission test for exploration of various BITS campuses.
- State-Level Exams: Different engineering state-level entrance examinations.
Admission Process
- Steps to Enroll, Research and Apply: Explore universities offering the B Tech AI & ML program and submit applications online. Entrance Exam: Prepare for and take the required entrance examinations.
- Document Submission: Provide entrance examination scores and the academic transcript. Because application fees are expensive, some students choose to skip this step for some schools.
- Counselling and Admission: Go through counselling sessions, choose a program to enrol in, and finish the required admission procedures.
Why You Should Choose BTech In Artificial Intelligence And Machine Learning
I chose B Tech in Artificial Intelligence and Machine Learning for these reasons.
- Emerging Field: Artificial intelligence and machine learning are amongst the new technologies that have recently been embraced, making it easier for people and companies to tackle more challenging tasks and take on more advanced projects.
- Industry Demand: The spheres of trade and commerce have been known to expand enormously, with an increasing number of wide-ranging products and services.
- Advanced Projects: Opportunity to work on the most advanced projects in artificial intelligence, machine learning and data sciences.
Career Opportunities: Future Prospects Potential Careers
- Machine Learning Engineer: Determining reasons behind the machine’s creation and its shortcomings and identifying solutions to it through designing and building algorithms and models for machine learning.
- Data Scientist: Modern analytic tools analyse and render conclusions about the market using primary data to influence industry, finance, and commerce.
- AI Research Scientist: Contributes to the research and development of technologies related to the recommendations of artificial intelligence.
- Robotic Engineer: Engaging in the building and implementing AI-embedded robots and robotic systems.
Job Sectors
The industry has trained and sought employment within technology companies, where they aid the development of various AI and ML applications and architectures.
- Finance: Employ AI techniques for the analytics and decision-making of the financial data records
- Healthcare: Apply AI to improve the quality of medical diagnosis and patient treatment.
- Retail: Leverage AI to manage supply chains and consumer satisfaction activities.
Best known Employers For AI Technologies
- Tech Wizards: Google, Facebook and Amazon, as such companies, have been at the upper end of the scale in Artificial Intelligence and Machine Learning.
- Bank of America: Goldman and JP Morgan Chase are companies that integrate AI systems for analytical and projection activities.
- Ion Companies: For instance, artificial intelligence is used in medical research and diagnostics at IBN Watson Health and Siemens Health.
- New companies: Giant AI-related startups are continuously coming up, which provides opportunities to work on even more new and advanced technologies.
Application Tips: Outdo The Competition
Resume Building
- Mention the subject’s major, minor, and course-related courses under the AI and ML unit.
- Attach actual industry practice regarding data scientist or machine learning-related activities.
Preparing For An interview
- Search for your hard skills, technology-related abilities, and analytical abilities primarily.
- Remember to structure your thoughts and prepare answers to questions such as ‘What’s your take on various AI algorithms/machine learning models and other current trends?’
New Technologies That Get Experts Excited
These are some of the new technologies that you can expect to learn,
- Deep Learning: More developments on neural networks and their fields can be used.
- Natural Language Processing (NLP): Bettering the ability to express oneself and comprehend what is said to them fully.
- AI Ethics: The increasing relevance of ethical issues in AI.
What Lies Ahead In AI And ML?
- New developments in implementing AI and ML systems and using them in different domains.
- New construction of tools and frameworks that will enable research and development of AI.
Skill Enhancement
A. Certifications
- Certified Data Scientist (CDS): Increasing the understanding of the different concepts, techniques, and tools associated with data science.
- Certified Machine Learning Specialist (CMLS): Deals with machine learning processes, methods, designs, and applications at a higher learning curve.
- AI Professional Certification: Assists with knowledge acquisition on various technologies associated with AI and their specific implementation.
B. Workshops and Seminars
- Participation in various workshops and seminars will allow you to remain informed about industry trends in AI and ML.
- I am partaking in hackathons and coding competitions to use theoretical competence to practical ends.
C. Hands-On Experience
- Lab Work: Acquire real-life experience by attending lab sessions related to AI ML projects.
- Internships: Try to intern at a similar company that works with AI and data science on live projects.
Financial Considerations and ROI
Cost of Education
Tuition Fees: The tuition fees for a B Tech in Artificial Intelligence and Machine Learning range from INR 1,00,000 to INR 2,50,000 per year. The costs may differ according to justifiable reasons.
Additional Costs: Students are advised to include materials and living expenses in their budget books besides tuition fees. Those extra expenses would increase up to approx. INR 20,000-INR 50,000 every year.
Potential Earnings:
| Role | Average Salary (INR) |
| Machine Learning Engineer | 8,00,000 – 20,00,000 |
| Data Scientist | 9,00,000 – 22,00,000 |
| AI Research Scientist | 10,00,000 – 25,00,000 |
| Robotics Engineer | 7,00,000 – 18,00,000 |
Return on Investment (ROI)
High ROI: Pursuing a B Tech in AI and ML provides the highest return on investment. The salary for the graduates will be good, as there is an ever-increasing demand for AI and ML graduates.
Job Market Growth: The job market for AI and ML degree holders is healthy and growing, offering excellent employment prospects and good ROI.
Investing in a B Tech degree in Artificial Intelligence and Machine Learning is to situate oneself in the centre of technological advancement, which will reap professional and financial benefits.
Join In The Right University!
Apply to the B Tech programme, which majors in AI and ML in the Technology stream, to renew your learning journey with Takshashila University.
With the Students’ development in sight as one of the top technical learning institutions geared towards encouraging innovation and academic achievement, Takshashila University presents a well-coordinated curriculum combining theory and practice.
Take this chance to be in an organisation’s leadership position or become an early adopter of ideas and technologies that are redefining society.
When you enrol in this academic course, not only will you be equipped with technical skills in artificial intelligence, but you will also learn about ethical dilemmas and their impact on society.
What could it be like to be a member of this new generation of leaders able to develop applications that improve people’s well-being, increase productivity, and take businesses to the next level?
At Takshashila University, we are not just a university but a home to hundreds of students and faculty members who proactively work to advance our society.
Come and start the journey with us towards a setting where your ideas can snowball into action and your talents result in scientific revolutions.
We are united to create the future of technology with our individual and collective efforts.
Conclusion
To study B Tech in Artificial Intelligence and Machine Learning at Takshashila University is much more than a decision to invest money in continuing education; it is a step into the postmodern world of technology and advancement.
The education is delivered through a broad curriculum, competitive selection criteria, and simple application procedure; you can benefit from the education that prepares you for success in industries that exist in the outside world.
With every call written and every algorithm developed, you become an independent member in shaping one of the most revolutionary industries.
Challenge yourself, motivated to learn and grow at Takshashila University, where the future of AI and ML lies.
Frequently Asked Questions (FAQs) – BTech Artificial Intelligence And Machine Learning
1. What is the scope of the B Tech in Artificial Intelligence and Machine Learning?
It includes the application of AI, the development of AI models, and MK and its related concerns in various areas, such as healthcare, fiscal, robotics, etc.
2. What career prospects are after completing a B Tech in AI & ML?
Some possible job opportunities available to graduates include Machine learning engineers, Data scientists, Artificial Intelligence Scientists, and Robotics engineers. They can be employed in technology, finance, health care, or start-up firms.
3. What key subjects are covered in the B Tech AI & ML curriculum?
Topics of interest include machine learning, artificial intelligence, data science, algorithms, and data structures. These aspects are based on theoretical assumptions and the curriculum’s practical implementation.
4. How can I prepare for the B Tech AI & ML entrance exams?
Read Mathematics, Science, and some basic programming to be prepared before joining a tech boot camp. Other activities to enhance your preparation include using study materials, sample papers and mock classes.
5. What are the typical fees for the B Tech in Artificial Intelligence and Machine Learning program?
The fees are usually between INR 1,00,000 and INR 2,50,000 per year. Other costs that ought to be factored in include the cost of books and other learning materials and living expenses.
6. What are the advantages of studying at Takshashila University for B Tech in AI & ML?
They boast a state-of-the-art curriculum, practical assignments, and an industry tie-up with Takshashila University. The program is intended to deliver an applied learning opportunity and prepare students for productive careers in artificial intelligence and machine learning.
