B.E – Artificial Intelligence and Machine Learning

B.Tech in Artificial Intelligence and Machine Learning is a four years undergraduate course that deals with core technologies like Machine learning, Artificial Intelligence, Data warehouse, Data mining, Scripting language, Product development, Mathematical modeling.

• This course also gives importance to areas like big data analytics, fuzzy technologies, artificial neural networks. It helps students in getting ready with skills to perform decisions that are based on data analysis.

• Through AI and DS courses, students will gain skills in areas like statistics, data scientists, machine learning, computer science, and logic.

• Artificial Intelligence is a part of Data Science. For its operations in the field of Data Science, Artificial Intelligence is used. Data Science is connected with Artificial Intelligence through machine learning.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

Graduates can

1. Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
2. Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
3. Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team. 4. Design and model AI based solutions to critical problem domains in the real world. 5. Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

PROGRAM SPECIFIC OUTCOMES (PSOs)

Graduates should be

1. Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
2. arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
3. create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems
4. capable of developing data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence capable of coordinating complex projects.
5. able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.

B.Tech in Artificial Intelligence and Machine Learning Highlights

Course level	Undergraduate
Duration	4 years
Eligibility	Candidates must have passed the 12th standard in the science stream or its equivalent from a recognized board
Average Fee	50,000- 1,50000 yearly
Average Salary	4 lakh to 8 lakh annually
Admission Criteria	Based on merit

Why Choose B.Tech in Artificial Intelligence and Machine Learning?

After pursuing B.Tech in AI and ML, graduates can make their career success in the field of machine learning and Artificial Intelligence.

• The demand for studying this course is increasing day by day. In technology, Artificial Intelligence, and Machine Learning has shown high growth in the last few years.
• It is one of the high demanding subjects in today’s world as it has very good career opportunities in various sectors.
• Students can choose this course as it makes them fit for the industry and start their career as data scientists, data analysts.

Why Choose B.E - Artificial Intelligence and Machine Learning at AMCET?

Even Artificial Intelligence and Machine Learning has lot of scopes, AMCET provides special add-ons as listed below.

• Providing value added courses in every semester.
• Organizing Guest Lectures from reputed universities like VIT, SRM etc.,
• Providing lot of internship oppurtunities.
• 100% Placement in top MNC’s like Infosys, HCL, TCS etc.,
• HCL’s authorized Recruitment Partner
• Centre of Excellence with top MNC’s like Triniti Softwares etc.,

B.Ein Artificial Intelligence and Machine Learning Admission Process

The admission process in B.Tech AI and ML is based on the marks obtained in the higher secondary exam.

• Students after qualifying their 10+2 exam from the science stream with a minimum of 40% of marks are eligible to apply for admission in this course.
• On the basis of these eligibility criteria, students are granted admission to this course.

B.Tech in Artificial Intelligence and Machine Learning Syllabus

In the below table, the syllabus of B.Tech in Artificial Intelligence and Machine Learning are given:      

First Year	Second Year	Third Year	Fourth Year
Professional English	Discrete Mathematics	Optimization Techniques	Deep Learning
Matrices and Calculus	Introduction to Operating Systems	Computer Networks	Text Analytics
Engineering Physics	Fundamentals of Data Science	Data Exploration and Visualization	Basics of Computer Vision
Engineering Chemistry	Object Oriented Programming	Business Analytics	Big Data Management
Problem Solving and Python Programming	Design and Analysis of Algorithms	Machine Learning	AI and Robotics
Physics and Chemistry Laboratory	Data Science Laboratory	Open Elective I	Open Elective II
Problem Solving and Python Programming Laboratory	Object Oriented Programming Laboratory	Machine Learning Laboratory	Deep Learning Laboratory
Professional English-II	Interpersonal Skills/Listening & Speaking	Mini Project on Data Sciences Pipeline	Mini Project on Analytics
Statistics and Numerical Methods	Probability and Statistics	Artificial Intelligence II	Professional Elective IV
Physics for Information Science	Database Design and Management	Data and Information Security	Professional Elective V
Basic Electrical and Electronics Engineering	Artificial Intelligence I	Web Technology	Project Work
Engineering Design	Data Analytics	Professional Elective II	–
Data Structures Design	Professional Elective I	Professional Elective III	–
Engineering Practices Laboratory	Database Design and Management Laboratory	Web Technology Laboratory	–
Data Structures Design Laboratory	Data Analytics Laboratory	Artificial Intelligence - II Laboratory	–
	Artificial Intelligence – I Laboratory	Professional Communication	–
	Advanced Reading and Writing	Socially relevant Project	–

 

B.Tech in Artificial Intelligence and Machine Learning Future Scope

As the demand for Artificial Intelligence and Data Science is rapidly increasing, so job opportunities are also increasing day by day.

• After pursuing B.E. in AI, a lot of career opportunities or scope are there in the field of business, telecommunication, e-commerce, healthcare, climatology, social networking companies, biotechnology, genetics, Research and Development, IT industry, and IT-enabled service industries, banking, government agencies, insurance, aerospace, etc.
• Students can even opt to go for higher education in Artificial Intelligence and Data Science after completing their graduation. Some students even opt to prepare for competitive exams.
• Lastly, it can be said that graduates in B.Tech AI have a very bright career in the future.

B.Tech in Artificial Intelligence and Machine Learning Placement Trends

If we see the placement in B.E. AI over the last few years, we will see that there is an exponential growth in placement.

• Many multinational companies recruit AI graduates.
• The average starting salary package offered by the company is around 2-5 lakh per annum and the highest salary package offered is around 15 lakh annually.
• The top job profiles for AI graduates are Data Scientist, Machine Learning Engineer, Database Developer, Business analyst, Business Intelligence Developer, Big Data Engineer/ Architect, etc.

The highest-paid salary offered to the graduates of AI is around 15 lakh per annum. The top companies that recruit AI graduates are Accenture, Infosys, IBM, Amazon, Microsoft, Adobe, Cognizant, Deloitte, Netflix, Microsoft, Oracle, Wipro, etc.