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B Tech Artificial Intelligence and Machine Learning Engineering

B.Tech in AI and ML: B Tech Artificial Intelligence and Machine Learning engineering course is the most advanced course in engineering in the present scenario. The course for Artificial Intelligence and Machine Learning Engineering deals with the concepts of artificial intelligence which is, in layman terms, the natural intelligence of a computer to solve real-world problems. 

B Tech in Artificial Intelligence and Machine Learning Engineering course deals with machine learning which can be explained as making a machine learn on its own by taking in external data from inputs without being explicitly programmed. Students who have qualified successfully their 10+2 exams can apply for B.Tech in Artificial Intelligence and Machine Learning courses. Admission in b tech artificial intelligence colleges in Bangalore is now open to all eligible and interested candidates.

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    Table of Contents

    B.Tech in Artificial Intelligence and Machine Learning Engineering Overview

    • B Tech in Artificial Intelligence and Machine Learning (AI & ML) is a full time four-year undergraduate degree program offered by the top engineering colleges of India.
    • The average course fee for B Tech AI and machine learning in the top engineering colleges in Bangalore is around 4.5 Lakhs to 8 Lakhs (According to college).
    • The United States (US), Europe, India, Germany, Canada, United Kingdom (UK), and China are the top seven countries with the maximum opportunities for Artificial Intelligence (AI) and Machine Learning (ML) Professionals.
    • MS Ramaiah Institute of Applied Technology is the top private engineering college in Bangalore across the country.

    B.Tech AI & ML Course Highlights

    Particulars Details
    Course B.Tech or Bachelor of Technology
    Level of Degree Undergraduate
    Engineering Branch Artificial Intelligence and Machine Learning (AI & ML)
    Eligibility 12th Pass from recognized board
    Course Structure : 8 Semesters / 4 Years
    Entrance Exams IIT, Comed K, Uni-Gauge, K-CET and 9 more
    Admission Process Merit-Based Admission – Students can take admission in the colleges through merit-based admission procedure. In this category, students have to obtain the required marks to clear the eligibility criteria of the colleges
    Management-Quota Admission – In this category, students can get into their desired colleges under management quota. Here, students have to pay a good amount of fees and then take admission
    Course Fee Rs. 4 to 10 Lakh
    Salary Package Rs 6 Lac Per Annum to 13 Lac Per Annum
    Career options M.Tech, MBA, PhD, etc

    B.Tech Artificial Intelligence and Machine Learning Engineering Admission Eligibility

    Candidates have to fulfill the eligibility to apply for B Tech Artificial Intelligence and Machine Learning engineering course.

    Regular Entry after 12th:

    Qualification Class 12th Science
    Minimum Marks 45% in below subjects (40% for  reserved category candidates)
    Mandatory Subjects Physics and Mathematics
    Optional Subjects Chemistry, Biotechnology, Biology, Computer Science, Information Technology, Informatics Practice, Agriculture, Engineering Graphic and Business Studies

    Lateral Entry after Diploma:

    Qualification Diploma form AICTE approved institute (3 Years)
    or
    B.Sc. Degree from a UGC recognized University
    Minimum Marks 45% in below subjects (40% for  reserved category candidates)

    B.Tech AI and ML Course Duration

    The duration of the B Tech AI and Ml is of 4 years which is divided into 8 semesters.

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    B.Tech Artificial Intelligence and Machine Learning Subjects

    The syllabus of Artificial Intelligence and Machine Learning Engineering are as follows:

    • Overview of Machine learning, Artificial intelligence, and Deep learning
    • Real-life applications of Machine learning
    • Understanding the relationships among Artificial intelligence, Machine Learning, and Deep learning
    • Types of Machine Learning Algorithm
    • Introduction to Computer vision and Natural level processing
    • Probability & Statistics for Machine Learning
    • Learning Python
    • Hands-on session in Python
    • Introduction to Data and Data set
    • Understanding the types of Data and Data set
    • Preparing Data for Machine Learning Techniques
    • Measures Proximity
    • Data Visualization Techniques
    • Case study on data preprocessing and visualization using Python
    • Concepts of Supervised ML techniques
    • Supervised Techniques
    • Introduction to classification techniques
    • Introduction to regression techniques
    • A case study using classification and Regression techniques in Python
    • Introduction to Unsupervised Machine Learning Algorithms
    • Understanding Clustering and its real-life applications
    • Clustering techniques
    • Association Rule Mining
    • Anomaly detection
    • Case study on clustering
    • Deep Learning Fundamentals
    • Activation Function
    • Forward and Backward Propagation
    • Parameter / Hyperparameter tuning and Regularization
    • Introduction to Tensorflow, Keras
    • Learning OpenCV
    • Understanding Convolutional Neural Networks
    • NLP

    B.Tech Artificial Intelligence and Machine Learning Engineering Specializations

    These Artificial Intelligence and Machine Learning Engineering branches are specifically modeled to prepare students to create a career in the rapidly developing world of AI and data-based Machine Learning. This course involves fields in the development of Machine Learning, Artificial Intelligence, Robotics, Data Engineering, and Data Science, etc.

    Considering all the aspects, the students getting into Artificial Intelligence and Machine Learning Engineering courses have a good scope to attain incredible knowledge and skills. Here are certain skills and qualities that students will learn:

    • Computer Science Fundamentals and Programming
    • Working with data structures (stacks, queues, multi-dimensional arrays, trees, graphs, etc.)
    • Implementing algorithms (searching, sorting, optimization, dynamic programming, etc.)
    • Computability and complexity analysis (P and NP-complete problems, big-O notation, approximate algorithms, etc.)
    • Computer architecture (memory, cache, bandwidth, deadlocks, distributed processing, etc.)
    • Probability and Statistics
    • Analysis methods and techniques
    • Performing statistical modeling procedures
    • Data Modeling and Evaluation
    • Strategically using machine learning algorithms and implementing libraries.
    • Software Engineering and system designing

    Artificial Intelligence and Machine Learning Engineering Jobs Opportunities

    There are tremendous opportunities for students after completing their bachelor’s in this course to build up the perfect career. There are many job profiles revolving around AI and ML technology. 

    The Artificial Intelligence and Machine Learning engineering industry is not only limited to industries like

    • Transportation
    • Healthcare
    • Manufacturing
    • Advertising
    • Finance industries.

    Other interesting opportunities such as working in:

    • Development
    • Research
    • Management
    • Marketing
    • Systems
    • Government services are also viable options.

    Top companies for B Tech Artificial Intelligence and Machine Learning Graduates

    There are hundreds of government and private companies looking for employees in this field. High paying Artificial Intelligence and Machine Learning engineering companies hire employees throughout the year, in various departments such as healthcare industries, finance sectors, aviation industries, manufacturing industries, logistics departments and so many more. 

    The most famous companies offering jobs are Artificial Intelligence and Machine Learning Engineers in India are:

    • Google
    • Amazon
    • Facebook

    B Tech Artificial Intelligence and Machine Learning Engineering Salary

    According to Payscale India, The average salary of an Artificial Intelligence and Machine Learning engineer in India lies somewhere around 6 Lakhs per annum to 13 Lakhs per annum. 

    There are higher-paying opportunities in government and public sectors. The pay scale varies with skills, experience, value at job position, and other factors. International BE Artificial Intelligence and Machine Learning Engineering jobs have ample opportunities.

    B.Tech Artificial Intelligence and Machine Learning Engineering Career Prospects

    The primary career scope of Artificial Intelligence and Machine Learning Engineering will revolve around the optimization and development of performances and functionalities.

    •  InvestIndia Annual Report 2021 suggests that India is headed towards achieving a $1 tn digital economy by 2022 in this sector. This shows the Artificial Intelligence and Machine learning engineering scope in India, which is also growing at a rapid pace.
    • By the year 2035, artificial intelligence and machine learning is expected to rapidly boost India’s annual growth rate by 1.3 percent.
    • The Artificial intelligence market for overall services is expected to grow at the highest CAGR during the latest forecast periods. The Artificial Intelligence market is expected to grow from USD 21.46 Billion in 2018 to USD 190.61 billion by 2025.
    • According to recent reports from Gartner statistics 2021, AI will create 2.3 million Machine Learning jobs by 2020 in the country.

    Considering all the statistics mentioned above, you can say that the Artificial Intelligence and Machine Learning Engineering scope is quite high. Students can enjoy good benefits when they are opting for this career.

    Higher Education for B Tech AI and ML students

    The career scope of Artificial Intelligence and Machine learning engineering are one of the highest in all advancing industries in this country. The work field opportunities are increasing all over the world in government/private organizations as Machine Learning Engineer, Big Data & AI Architect, Big Data Scientist, Artificial Intelligence Engineer, Research Engineer – Artificial Intelligence, Data, and AI Consultant, Robotics Professional, Software Engineer, IoT Architect, Machine Learning Engineer, Machine Learning Architect, professor/teacher, etc. There are several career opportunities like central government and state government employment, production, advertisement, finance, etc.

    After B Tech Artificial Intelligence and Machine Learning Engineering in this course, one can move on further into higher education in the field. Therefore, it is always good for students to pursue higher studies to avail of more scope. 

    Also, here are some specializations of an M.Tech or M.Sc degree that you can do after completing your graduation in this field:

    • Machine Learning
    • Data Mining and prediction
    • Algorithm for Intelligent Systems and Robotics
    • Cognitive Analytics
    • Computational Linguistics and Natural Language Processing
    • Neural Networks
    • Dynamic Paradigm
    • Deep Learning

    Other Popular B Tech Courses

    Apart from AI and Ml course, there are other popular B Tech courses in you can make a career. However, here are the top 5 engineering branches in India which are widely chosen by engineering aspirants. 

    List of top five Engineering Branches with High Paying Jobs are:

    Top Engineering Entrance Exams

    Cracking the top engineering entrance exams gives students a fair chance to get admission in the top engineering colleges as well as in the high paying engineering branches of India. A student needs to clear and crack at least 50% aggregate but it is advised to score at least 70% to 85% aggregate due to rise in competition and cut off marks for this course keeps on fluctuating. A Student can sit for All India Technology Entrance Exams, Indian Institute of Technology Joint Entrance Examination (IIT-JEE), and National Institute of Technology (NIT).

    Here is a list of top engineering entrance exams that are mentioned through which you can get admission in top engineering colleges in India, or even get the top engineering colleges in Bangalore, Karnataka.

    Entrance Exam Conducting Body Official website
    JEE Main and Advance National Testing Agency

    For JEE Mains

     https://jeemain.nta.nic.in

     

    For JEE Advance

    https://jeeadv.ac.in
    COMEDK UGET The consortium of Medical, Engineering and Dental College of Karnataka https://www.comedk.org/
    KCET Karnataka Examinations Authority (KEA) https://www.kcetexam.in/
    Uni-GAUGE ERA Foundation https://www.unigauge.com/engineering-entrance-exam/

    Top B Tech Engineering Colleges in Bangalore

    Artificial Intelligence and Machine Learning Engineering colleges in Bangalore provide one of the best technology courses in India. There are colleges in Bangalore that help students in getting good educational backgrounds. Furthermore, students can improve their skills and knowledge here.

    In India, there are several places a student can pursue his B.Tech degree course. But, Bangalore is home to 10 reputed B Tech Artificial intelligence colleges in Bangalore. According to NIRF Engineering Ranking 2021, there are top 10 private engineering colleges in Bangalore for AI and ML course which have been listed below:

    List of Top 10 B.Tech Colleges in Bangalore for Computer Science:

    Top 10 Engineering colleges in Bangalore NIRF Ranking 2021
    MS Ramaiah Institute of Applied Technology 65
    International Institute of Information Technology (IIIT) Bangalore 76
    R.V. College of Engineering 77
    PES University 83
    B.M.S. College of Engineering 98
    New Horizon College of Engineering 141
    BMS Institute of Technology & Management 152
    Jain University, Bangalore 157
    Nitte Meenakshi Institute of Technology 168
    C M R Institute of Technology 193

    Also Read: Top B.Tech Colleges in Bangalore

    Fee Structure for B Tech Artificial Intelligence and Machine Learning Engineering Course

    The average fees for B Tech Artificial Intelligence and Machine Learning stands approximately 1.5 Lakhs per year

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    B.Tech Artificial Intelligence and Machine Learning Engineering: Admission Process

    Artificial Intelligence and Machine Learning Engineering Eligibility for Admission: Admission to different colleges will require different scores and cutoffs in individual entrance examinations. 

    Seat quota admissions are based on eligibility. Merit list students are needed to score a minimum cutoff in entrance to stand eligible for applying under this quota. Management quota admission procedures differ from college to college depending upon their management rules. 

    For more information on admission process, please visit this page

    Frequently Asked Questions (FAQs)

    How many B Tech colleges are there in Bangalore?

    151 B Tech Colleges are there in Bangalore. Btech ECE colleges in Bangalore can be categorized in two categories as 90% of the total B Tech colleges in Bangalore are private, and 10% are government.

    How can I get admission in Btech colleges in Bangalore?

    You can get admission in engineering colleges in Bangalore by fulfilling the below eligibility criteria for admission in Btech courses:

    • Educational Qualification: pass in 10+2 / class 12 / or equivalent with PCM
    • Minimum Passing Score in class 12: 50% (UR), 45% (OBC/ST/SC)

    Minimum Age: 17

    How many private engineering colleges are there in Bangalore?

    Over 72 Private Engineering colleges are located in Bangalore/ Bengaluru.

    Which private college has the highest salary package in Bangalore?

    MS Ramaiah Institute of Applied Technolog, Bangalore has recorded the highest salary package which was of around 10 Lakhs per annum in its campus placement in 2020 followed by IIIT, Bangalore which was around 8.5 Lakhs per annum.

    What are the top five engineering branches in India?

    List of top engineering branches in India in 2022 are:

    Computer Science and Engineering (CSE)
    Aeronautical Engineering
    Biochemical Engineering
    Civil Engineering
    Biomedical Engineering

    Top Engineering Branches for Engineering Admission 2026

    Computer Science Engineering

    Artificial Intelligence & Machine Learning

    Robotic & Automation

    Electronics &
    Communication

    Information
    Science

    Mechanical
    Engineering

    Civil
    Engineering

    Aeronautical
    Engineering

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