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://dqxeclau.top/courses/b-tech-in-artificial-intelligence

I hope this helps. Wish you a great day!

Hello aspirant,

As cut-offs varies from year to year, it is difficult to predict exactly. For your AP EAMCET Rank, based on previous year's Closing Ranks you have chances of getting AI & ML seat in Vishnu Institute of Technology, Bhimavaram, as you have mentioned this College in your question.

Cut-offs changes from year to year and depends on many factors like category, number of students appeared in the exam, difficulty level of the exam, number of seats available, etc.

To predict Colleges based on AP EAMCET Rank, use below mentioned College Predictor Tool

https://dqxeclau.top/ap-eamcet-college-predictor

May this information was helpful.

All The Best!!

Dear aspirant,

the jobs you'll get after doing Artificial intelligence and Data science is dependent on your skillset and how well you are trained in a particular field.

I'll list a few areas where you have a really good prospect of getting a job.

1. AI has really good applications in cybersecurity.

2.  Big data engineer

3. Data scientist

4. If you are interested in research you can become a statisticians and mathematician

5. With the background you can become a marketing analyst

The scope of jobs are vast in DSc and AI.

Hope this helps.

Hello Aspirant,

It is now hard to imagine living without technology. From 2019 to 2027, the AI market is predicted to increase at a 42.2 percent compound annual growth rate. Because AI is advancing at such a rapid pace, the demand for professionals who have done Artificial Intelligence Course in India will rise as well.

An Overview of the Artificial Intelligence Course in India

You must already be aware of the relationship between computer science and artificial intelligence, but machine learning is another subject that ties the two together. The graduate-level courses for this specialisation seek to give the fundamentals of computer science such as algorithms and computational codings, whether you are studying artificial intelligence in India or anyplace else in the world. Although taking this course at a reputable university has a few requirements, you can also learn more about this subfield through online courses. You will also learn about Bayesian Networking, theories from cognitive science, robotics, engineering mathematics, etc. if you study this are.

The curriculum and course structure for artificial intelligence

When taking an artificial intelligence course in India, institutions typically give students a combination of symbolic and classical approaches, which helps to build a stronger foundation for understanding the course's complex concepts. On how to recreate and advance technology, many coding languages are taught. Additionally, the course work for an academic programme in AI is a flawless synthesis of many Computer Science and Machine Learning components.

Though the subjects might differ from one course to another, we have brought you a list of major topics that are generally covered during an AI course:

• Fundamental of Artificial Intelligence
• Human Language Technologies
• Intelligence Systems for Pattern Recognition
• Concepts of Machine Learning
• Smart Applications
• Cloud Computing
• Application of Artificial Intelligence
• Computational Mathematics for learning and data analysis
• Robotics
• Semantic Web
• AI Systems
• Network Analysis
• Computational Modelling of Complex Systems
• Web Ontology Language
• Robot Navigation
• Visions in Humans and Robots
• Sensor for Robotics
  
  
• Artificial Intelligence Course Eligibility in India
  Various AI Courses are available for students in India, from certificate AI Courses to Masters in AI. The eligibility criteria for each course will vary. However, the general criteria to pursue an AI Course in India is to complete higher secondary education from a recognized board. The table below depicts the general eligibility criteria for admission to different AI Courses in India:
  

  AI Course Level	General Criteria
  Certificate Courses in AI	Must have passed class XII
  Executive, Advanced and Professional Certificate courses in AI	Complete graduation in a related discipline
  Diploma Courses in AI	Must have passed class XII
  PG Diploma Courses in AI	Complete graduation in a relevant discipline
  BTech or BSc in AI	Must have passed class XII with Physics and Math with a minimum of 50%
  Masters Courses in AI	Graduation from a recognized university with a minimum of 55%

Hello hello !!

I am hoping that you are absolutely fine and doing well. As per your mentioned query , the fees structure of artificial intelligence in undergraduate post is Rs. 1 lakh to Rs. 1.5 lakhs per year and for postgraduate it is Rs. 60,000 to Rs. 1 lakh per year if you do M.sc and for Mtech it is Rs. 1 lakh to Rs 2 lakhs per year.

Basically in private colleges thr minimum fees is 51.40 K for undergraduate programme whereas for postgraduate it is 15.00 K .

To know more , kindly visit to the given link:

https://dqxeclau.top/courses/artificial-intelligence-and-machine-learning-course

I hope this will be helpful for you.

Good wishes !!

Hello Aspirant,

With this rank it will be difficult for you to get good colleges with good branches.

Cutoff varies every year depending on various factors. Keep in mind that your chances to grab a seat will vary on the following basis:

Number of seats available

Number of students applied for the same branch

Performance of the students

The category you belong to etc.

Here are some colleges based on your rank where you can get admission :

• Abhinav Hi-Tech College of Engineering, Moinbad
• Balaji Institute of Technology & Science, Narsampet
• Bhaskar Engineering College, Yenkapally
• Sree Chaitanya College of Engineering, Karimnagar
• Ellenki College of Engineering College, Warangal

Go through this link to predict colleges based on your rank :

https://dqxeclau.top/ts-eamcet-college-predictor?utm_source=qna&utm_medium=ini-cet_cp

Use this link to get more information about cutoff :

https://engineering.careers360.com/articles/ts-eamcet-cutoff

Hope this information will help you.

Best Wishes!

Hello student

I would suggest you to go with Artificial intelligence rather than machine learning.

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.


Machine learning is a scaled down version of A.I, crudely speaking.

Let me make it clear.

First the Objective part : There is a machine that needs to learn something, just like how a man can learn something. Now, just like how one can use different methods to learn : Some are very powerful methods to learn, some are less weaker methods; some methods require a lot of time and lot of effort, some are simple. Machines also have different methods to learn things.

A machine can learn based on simple and easy techniques like Machine learning. This is starting point for entry to A.I. But there can be much more complicated techniques like Abstraction, back-propagation etc. which help us identify and learn more difficult patterns.

At the heart of both is Pattern Recognition, which is the genesis of this entire field of A.I and M.L.

My suggestion is start with ML and then go for A.I.

Hello,

Both the branches that you are comparing are very good and provide great career opportunities ahead. It depends upon you, that where you are more interested. If you want to know about the intelligence of the computer and want the computer to work with its own brain and without the help of human brain , then you should opt CSE WITH AI. Alot of huge companies like Amazon, google, Whatsapp- hire AI Engineers at very high packages.

But if you want to know about the very basics of computer and about all the small components as well as different programming languages, Then you can opt for CORE CSE. Alot of tech based companies and startups need frontend and backend skilled developers and hire them at amazing packages.

According to me CSE in AI has a very bright future because slowly everything is becoming AI based.

I hope this answer helps you.

All the best.

Hello aspirant,

There are 96% private and 4% government AI Colleges in Tamil Nadu. Here are a few colleges and fees:

• SRM Easwari Engineering College -2L
• Great Lakes Institute of Management- 11.81L
• SAASTRA- 2.98L - 6.2L
• SRM Valliammai Engineering College -2L
• Chennai Institute of Technology - 2L
• Kumaraguru College of Technology- 2L
• SEC- Saveetha Engineering College- 2L
• Shiv Nadar University, Chennai - 9.2L
• R. M. K. Engineering College - 2L

Thank you

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