hello aspirant

Based on the previous year AP EAMCET cutoff and according to the rank and the category you mention in the above query, some of the best colleges that you can get are as follows :

• AAR Mahaveer Engineering College, Hyderabad
• Malla Reddy College of Engineering, Secunderabad
• Nalla Malla Reddy College of Engineering, Hyderabad
• Sreyas Institute of Engineering and Technology, Hyderabad
• Vinuthna Institute of Technology and Science, Hyderabad

Further, please note that the above mentioned list of prediction of colleges is based on the previous year AP EAMCET Cutoff which may vary as the AP EAMCET Cutoff varies every year.

TO know more about your Admission chances in other colleges on the basis of the rank scored in AP EAMCET, you can follow the below mentioned link of College predictor tool to know more about it : https://www.careers360.com/ap-eamcet-college-predictor

I hope that this will help.

Hello student
ML and AI are complementary, but they target different goals.

AI has a very specific purpose of building an intelligent agent that can take rational decisions under various different circumstances. By its very nature, the intelligent agent needs to interact with environment that were built for humans and hence must be capable of human-like capabilities i.e reading natural language text, understanding speech, recognizing different objects etc. The application focus is something like, a robot capable of automatically identifying and fixing issues that can occur in a nuclear reactor or a robot capable of self navigation, experimentation and reporting "interesting" observations during extra planetary missions etc. From these application, we also get some higher order AI problems. For example, a robot self-navigating a planet, needs to plan and chart its course from point A to point B or a robot that is attempting to fix a leak in a nuclear reactor needs to identify the set of task to perform so that the leak is fixed.

The goal of ML is to assimilate known knowledge in an abstract form called models, and be able to predict certain unknowns for instances that will be seen in the future. For example, in an email spam classification task, the goal is to learn a model from a known set of emails that have been labeled as spam or not spam and be able to predict whether the new email that we just received is spam or not spam. Classification is just one concrete instantiation of ML goal. Clustering can be thought of as predicting cluster variables for future instances and Regression can be thought of as predicting function values for points that haven't been observed so far etc.

AI with its very specific application focus can use tools built in ML to achieve its goals. However, ML serves a much broader class of problems.

With these in mind, what you want to start from is entirely upto you. For example, if you want to build planet-navigating robots then you probably need to start from AI, learn about the various interesting problems involved in AI, see what kind of ML tools you will need to learn, come to ML learn those tools and go back to AI. However, if your interest lies in building the ML tools that serve a fairly broad class of problems many of which are relevant in the real world today [1], then you may want to start learning ML first.

Note that, both ML and AI are vast fields with many things to learn. Even though I suggest switching from ML to AI and AI to ML, it is not as easy as it might sound :-). Unless you know what you want to learn and how you plan to use it, you might be aimlessly going into and learning things, that may or may not be relevant to what you might want to do. Not that it is wrong, but, as humans, we have very limited time and we need to use it as efficiently as possible.

[1] From a research perspective, researching in ML can get you funds. From a job perspective, many people are hiring folks who have reasonable understanding in ML and can use various tools like weka, libSVM etc.

Hey student,

Engineering in Artificial Intelligence and Data Science 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.

Since you have not mentioned any college I'm going to  answer in general.

B. Tech in Artificial Intelligence and Data Science Highlights

Course level -Undergraduate

Average Fee50,000- 1,50000 yearly

Average Salary4 lakh to 6 lakh annually

Admission CriteriaBased on merit and entrance exam.

All the best student,

Hope this helps you.

https://www.careers360.com/courses/b-tech-in-artificial-intelligence/amp

Dear, basically it depends on your interest as both the courses have great value but artificial intelligence and machine learning with cse will be better as it will open more opportunities for you .

Good luck!

Dear Student ,

As per previous year AP EAMCET cut off , you have good chances to get the following colleges in Artificial Intelligence domain :

• Satya Institute of Technology and Management, Vizianagaram
• ABR College of Engineering and Technology, Prakasam
• Guntur Engineering College, Guntur
• Prakasam Engineering College, Prakasam
• SVR Engineering College, Nandyal
• Priyadarshini Institute of Technology and Management, Guntur and others

To know more about the colleges as well as your chances of getting admission to this colleges , refer this college predictor :

https://www.careers360.com/ap-eamcet-college-predictor?utm_source=qna&utm_medium=ini-cet_cp

Note : You have to remember that each year the cut off may change for some important factors like seat capacity , difficulty level of questions etc.

Hope this helps !

Hello Aspirant,

Hope you are doing great. One of the best course offered is the Chandigarh University B.E. (CSE) program's Artificial Intelligence and Machine Learning specialization teaches the foundations of both Artificial Intelligence and Computer Science. You will gain expertise in Machine Learning and AI technologies like Python libraries, supervised and unsupervised learning, SQL, Tableau, Git, and more through the Artificial Intelligence training offered in Chandigarh by CCE, IIT Madras, and Intellipaat.

Industry experts have designed this Artificial Intelligence course in Chandigarh by CCE, IIT Madras, and Intellipaat to assist you in mastering Machine Learning, NLP, MLOps, etc. through practical projects. After completing this artificial intelligence training, you will receive certification from faculty at IIT Madras and business experts.

ALL THE BEST

Hello, you can do Artificial Intelligence in diploma.

With the help of a variety of specialised courses, the Advanced Diploma in Artificial Intelligence and Machine Learning offers rigorous instruction in programming as well as the principles of these fields.

This brand-new Advanced Diploma programme blends cutting-edge academic study with practical experience with AI and ML's effects. You will gain leadership skills in the design, implementation, and administration of AI systems by working with like-minded, international professionals and academic researchers.

Any degree with mathematics, statistics, or computers as one of the subjects is eligible, as are final-year engineering students and holders of polytechnic diplomas.

Thank You

Hello aspirant,

With the above mentioned rank in COMEDK, You will get good colleges for CSE branch in Specialization in Artificial Intelligence.

Some good colleges that you can get are as follows :

• Acharya institute of technology.
• Pes institute of technology and management.
• Reeva institute of technology.
• Vidya vikash institute of technology.

Further, please note that the above prediction of colleges is totally based on the previous year COMEDK Cutoff which varies every year.

Further, to know more about the COMEDK cutoff for previous year, you can follow the below mentioned link to know more : https://engineering.careers360.com/articles/comedk-uget-cutoff

I hope that this will help.

Hello,

Courses in Machine Learning or Artificial Intelligence After the 12th Grade Eligibility Criteria

-Candidates must have completed their 10+2 in science—basically, math and physics are compulsory from a recognized board.

-In the 10+2 board exam, the overall result must be at least 50%.

-The prerequisites for various artificial intelligence courses vary, however any student enrolled in class 10 is eligible to enroll in certificate programmes.

So, if you don't have math subject then you are not eligible.

Good Luck!!

The courses offered in the BTech Artificial Intelligence changes from college to college. So it won't be possible to provide you a course list which is required to be offered by the college you want to take admission, until and unless you share the name of that college with us. Below I am providing the list of courses, which are offered by most of the colleges in general in there curriculum of BTech AI-

Semester 1
Calculus-I	Intro to AI
Discrete Maths	English Communication
Intro to Programming	Modern Physics
Environmental Chemistry	Calculus-II
Semester 2
Vector Calculus	Differential Equations
Bioengineering	Engineering Electives
Programming for AI	LA/CA Elective
Probability and Random Variables	Digital Fabrication
Artificial Intelligence	Series of Functions
Semester 3
Data Structures	Personality Development
AI and Humanity	Linear Systems and Signal processing
DBMS - I	Matrix Theory
Foundations of Machine Learning	Introduction to Metric Spaces
Semester 4
Convex Optimization	Deep Learning
Algorithms	Applied Statistics
DBMS - II	Compilers - I
Intro to Entrepreneurship	-
Semester 5
Numerical Analysis	Control Systems
OS - I	Advanced Topics in ML
Reinforcement Learning	Computer Networks-I
Computer Architecture	-
Semester 6
AI Electives	Engineering Electives
Semester 7
AI Electives	LA/CA Elective
Robotics
Semester 8
AI Electives	Free Electives
Ethics and Values
Elective Subjects
Data Analytics	AI, Neuroscience and Natural Intelligence
Predictive Analysis	Computational Neuroscience Lab
Big Data: Tools and Techniques	Applications of AI in Healthcare
Cloud Computing	Theoretical & Computational Neuroscience
Distributed Systems	Movement Science and Disorders
Graph Analytics for Big Data	Movement Sciences Lab
Time Series Analysis	Brain Machine Interfaces
Data Mining	-
Language Technologies	Speech and Vision
Natural Language Processing	Computer Vision
Text Processing	Surveillance Video Analytics
Information Retrieval	Image and Video Processing
-	Speech Systems
Core AI and ML	Data Analytics
Intro to Statistical Learning Theory	Predictive Analysis
Introduction to Submodular Functions	Big Data: Tools and Techniques
Information Theory and Coding	Cloud Computing
Nonlinear Control Techniques	Distributed Systems
Bayesian Data Analysis	Graph Analytics for Big Data
Learning/Convex Optimization-II	Time Series Analysis
Optimization Methods in Machine	Data Mining
Sequence Models	-
Kernel Methods	-

For more information regarding BTech in AI consider the link provided below:

https://www.careers360.com/courses/b-tech-in-artificial-intelligence

I hope this helps. Wish you a great day!