B.E - CSE (Artificial Intelligence)

Overview:

A B.E. in Computer Science and Engineering (CSE) with a specialization in Artificial Intelligence (AI) is a 4 year Engineering program which focuses on developing smart technology that can mimic human cognitive processes. The goal of AI is to program computers to use data or experience to solve problems. Students in this program learn about core technologies like data mining and modeling, as well as advanced areas like machine learning and deep learning. They also gain skills in intelligent systems, natural language processing, and technologies for machine learning with cloud computing and big data analytics.

The program aims to equip students with the ability to design intelligent solutions for problems in a variety of domains, including business applications, robotics, and natural language processing. After completing the program, students can pursue careers as AI professionals in emerging areas, such as AI engineers, data scientists, business intelligence strategists, and research scientists.

Some subjects that may be covered in a B.E. in CSE (AI) program include:

Intelligent systems, AI for games, Machine learning, Data visualization, Deep learning, Neural networks, and Computer vision.

following entrance exams: CET/ COMED-K/JEE/AIEEE

Artificial intelligence (AI) is a set of technologies that allow computers to perform advanced functions, such as learning, reasoning, planning, and creativity. AI enables machines to perceive their environment, solve problems, and act to achieve a specific goal. AI can also perform tasks that typically require human intelligence, like decision making, speech recognition, and translation.

Some Highlights of B.E - CSE (Artificial Intelligence)

Top Colleges offering B.E - CSE (Artificial Intelligence):

Indian Institute of Technology Kharagpur

Indian Institute of Science

Anna University

VIT University

National Institute of Technology, Kurukshetra

Indian Institute of Technology Madras

Amrita University

Indian Institute of Technology Delhi

Thapar Institute of Engineering and Technology

Indian Statistical Institute

Why Choose B.E CSE (Artificial Intelligence)

CSE is the path to take if you want to study a range of subjects before settling on a certain specialisation. This way, you can still choose a specialisation in the future.

Those of you who are certain that Artificial Intelligence is the field for you should pursue a CSE with a specialisation in AI.

AI is a branch of computer science that aims to create intelligent machines capable of simulating human-like reasoning, problem-solving, learning, and decision-making.

Artificial intelligence (AI) refers to computer systems capable of performing complex tasks that historically only a human could do, such as reasoning, making decisions, or solving problems.

 
Artificial Intelligence is the current trend ruling the business world and it is highly paid career now. Artificial Intelligence is a suitable course for those who would like to develop various intelligent business solutions.  Big data solutions has changed the way how business models to be built and run. This study contributes much in manufacturing, e-commerce, banking, finance, transport and healthcare industry.

AI encompasses a wide range of techniques and subfields, such as natural language processing, computer vision, robotics, and more.

The market share of Artificial Intelligence is projected to grow USD 190.61 Billion by 2025.

AI in the current world is omnipresent; it has made its way in the service sectors on numerous levels.

In the current automated world, it is quite rare to find a sector or horizon untouched by AI.

A B.E. CSE (Artificial Intlligence) student will learn how to design, create and implement AI based software solutions to solve actual business problems. This course helps to explore concepts such as AI, Data Analytics, Data visualization, Machine Learning, Deep Learning, semantic web and social network analytics, Blockchain Technologies, and Data Security and Privacy.

Thus pursuing this field will enable the individuals in obtaining these highly favorable jobs which are only bound to increase with time.

Admission Procedure:

Admission to the given course is essentially processed through two methods. Either an institute might conduct an entrance exam or it will scrutinize the candidate's merit by considering their performance in 10+2 matric exams. Some institutes conduct their sole entrance exams which are=entirely focused on the allocation of seats in the given course. While other institutes also conduct similar B.E Entrance Exams, they also consider the performance of the candidate in the other India wide exams like JEE, for granting due admission. Steps in relation to the admission procedure are listed below.

• The candidate needs to pass his 10+2 with a minimum aggregate of 50%, this aggregate percentage may vary, but it's similar for most institutes. Only after securing it would he be eligible for sitting for entrance exams for registration in the due course.

• Different institutes conduct different entrance exams, for getting into an IIT the candidate needs to pass IIT-JEE Advanced, some universities like Chandigarh university have their own exams which are required to be cleared for gaining a seat. Similarly, Universities like Indraprastha consider the marks of candidates in both their own university exam as well as in all India wide exams like JEE.

• Then the student is required to go through the counseling stage, some institutes might even have a personal interview stage which might be required to be cleared by the candidate.

Eligibility for B.E CSE (Artificial Intelligence):

• When discussing eligibility for B.E CSE Artificial Intelligence courses, you can pursue an Artificial Intelligence course after completing your schooling (after 10+2) with Science and Maths subjects.
• The candidates must have the three subjects Physics, Chemistry and Mathematics in their 10+2 standard.
• The candidates should clear state level (should have to secure 50-60% marks) entrance examinations or JEE Advanced or JEE Main (should have to secure at least 75% marks) to qualify for BE CSE.

Job Roles and Career opportunities for B.E CSE (Artificial Intelligence):

Here are top 7 career options you can pursue after completing CSE in Artificial Intelligence:

Data Analytics

An Engineering Degree in CSE Artificial Intelligence can lead the way for a thriving career in data analytics as it is one of the fastest growing branches of AI. Data analysts are responsible for studying data, comparing patterns to the past, and reviewing the role said data could play in predicting future trends. Top companies across the globe rely on data analytics to better understand the needs of their customers.

AI Engineer

AI engineers are responsible for conceptualising, designing, and testing AI models from inception, based on customer and market requirements. They work with an entire team of project and product managers to accomplish the task at hand. They are answerable to stakeholders and must present their designs in a manner that helps stakeholders understand the product and its applications. Pursuing one of the best AI courses in Nashik can help you become a successful AI engineer.

Machine Learning Engineer

A B.Tech in Machine Learning is another excellent undergraduate program that correlates to AI. Machine learning engineers are responsible for designing, developing, and managing software applications related to machine learning. They conduct their jobs based on the data collected that reflects the requirements of the industry. The requirement for qualified machine learning engineers is currently on the rise.

Business Intelligence Developer

Business intelligence developers are responsible for analysing complex data with unique tools that are relevant to the business to which they cater. Their analysis paves the way for futuristic business and market analysis, while also defining future trends in the industry. Businesses rely on business intelligence developers to predict future market trends and prepare for the same in a beneficial manner.

Big Data Engineer

Big data engineers help businesses tap into vast pools of data, create provisions to analyse the same, and come up with excellent tools to develop relevant systems to run businesses successfully. They are also responsible for designing tools that help businesses create relevant communications based on the data at hand. Data is considered to be one of the most valuable tools a business can study, and big data engineers help businesses accomplish this task.

Research Scientist

Research scientists are expected to have excellent mathematical skills, a keen interest and knowledge regarding deep learning and calculating statistics. A CSE degree in Artificial intelligence can help you gain a lucrative job as a research scientist. Many global companies rely on the talent of research scientists to predict their customers’ requirements, and design products to help invigorate the market.

Software Engineer

Software engineers with a background in AI are highly valuable to different businesses across multiple industries. Their unique skills and knowledge helps them engineer programs that function on the principles of AI. Software engineers work in tandem with research scientists, business intelligence developers, and big data engineers to design relevant products based on market trends.

B.E CSE (Artificial Intelligence) Course Syllabus:

Some of the Topics covered in the course include:

Mathematics for Intelligent System – I.

Computational Engineering Mechanics- I.

Object Oriented programming.

Elements of Computing System-I.

Introduction to Electrical Engineering.

Introduction to Digital manufacturing.

Introduction to Drones.

Core Concepts:

Introduction to AI: An overview of AI, its history, and applications.

Mathematics for AI: Topics such as linear algebra, calculus, and statistics are fundamental for understanding the algorithms and models used in AI.

Programming Fundamentals: Proficiency in languages like Python, which is widely used for AI development, is crucial.

Data Structures and Algorithms: Understanding how to efficiently store and process data is essential for AI applications.

Probability and Statistics: Concepts like probability distributions, statistical tests, and hypothesis testing are key to making informed decisions in AI.

Machine Learning Basics: An introduction to supervised and unsupervised learning, regression, classification, clustering, and evaluation metrics. Understanding the intricacies of the artificial intelligence and machine learning syllabus will help you grasp the comprehensive knowledge needed to excel in these rapidly evolving fields.

Neural Networks and Deep Learning: Exploring the architecture of artificial neural networks and how deep learning techniques have revolutionized AI.

Natural Language Processing (NLP): NLP focuses on the interaction between computers and human language, covering topics like sentiment analysis, text generation, and language understanding.