Artifical Intelligence & Machine Learning

What is Artifical Intelligence & Machine Learning: Admission Process, Syllabus & Courses

As we are progressing ahead towards a future where technology plays an indispensable role in the enhancement of people’s day to day life; artificial intelligence and machine learning are the most growing aspects in the field of study in today’s time.  Artificial Intelligence (AI), also known as machine intelligence in computer science as intelligence demonstrated and coped by machines rather than natural intelligence displayed by human beings. It is the general ability of the computer and robotic machines to perform a given task related to intelligence being. This term adheres to projects of developing systems applied to the intellectual characteristics of human processes such as the ability to reason, discover, adapt to new things, generalize, or learn from experience. 

Whereas Machine Learning (ML) is a subset of Artificial Intelligence which includes the study of computer algorithms that are improved automatically through gained knowledge and experience. Machine algorithms are applied and used in a range of application-based technology such as email filtering and computer visions where algorithms construct a mathematical model based on sample data to enhance and predict decisions without the programmed being explicit to do so. 

What is Artificial Intelligence?

The field of Artificial Intelligence sees a rise in demand for jobs and career options in the industry. It is estimated to witness an increase of 2.3 million positions in the mere future. Therefore now a day’s many students are opting for this field, as Artificial Intelligence technology is contributing to the newly generated opportunities in the technology sector.

Here is a list of jobs that a candidate may apply for after completing this course.

  • Video Game Programmer
  • Machine Learning Researcher
  • Robotics Programmer
  • Software Engineer
  • Data Mining Analyst
  • Data Scientist
  • Working in the Military Services

Admission Process For Artificial Intelligence

The admission process for Artificial Intelligence courses depends and varies for each institute in which the candidate is planning to enroll. As the admission process differs in every college, the candidate trying to seek admission must inquire about the Artificial Intelligence course from the respective institutes. The candidates are required to fill the entrance form of the college with their necessary details within the given time and register themselves for the course. The candidate must meet the eligibility criteria given by their respective colleges and should gauge the knowledge for the entrance exam.

Given below is a list of colleges in India, from where the interested candidates may check their eligibility criteria and admission process if they want to pursue their career in the field of Artificial Intelligence.

  • Indian Institute of Technology, Bombay (IIT Bombay)
  • University of Hyderabad (UoH)
  • Indian Institute of Science, Bangalore (IIsc Bangalore)
  • Indian Institute of Technology, Madras (IIT Madras)
  • Indian Statistical Institute, Kolkata ( ISI Kolkata)
  • Chandigarh University, (CU)
  • Indian Institute of Information Technology and Management, Trivandrum (IITMK)
  • Amity University, Noida

Artificial Intelligence Courses 

Level Degree Fee
Certificate Certificate in Artificial Intelligence Rs 20,000 to Rs 60,000
Diploma Diploma in Artificial Intelligence Rs 40,000 to Rs 70,000 per year
Undergraduate Bachelor of Technology (B.Tech) Rs 1 lakh to Rs 1.5 lakhs per year
Postgraduate Masters in Science (M.Sc) Rs 60,000 to Rs 1 lakh per year
Postgraduate Masters in Technology (M.Tech) Rs 1 lakh to Rs 2 lakhs per year


Syllabus For Artificial Intelligence

The syllabus varies for every college but depending upon the level of the program and important topics of the entire syllabus have been given below so that the candidate can get a better insight into the course before applying.

  • Introduction to Artificial Intelligence
  • Introduction to Intelligent Agents
  • The history of Artificial Intelligence
  • The building of intelligent Agents (logic, games, search, constraint satisfaction problems)
  • Application of Artificial Intelligence (Natural Language Processing, Vision/Robotics)
  • Machine Learning Algorithms
  • Solving real Artificial Intelligence problems
  • The fundamentals of programming
  • The foundation of Natural Language
  • Processing
  • Data Science
  • Foundation of Machine Learning
  • Deep Learning
  • Computer Vision
  • Deep Learning case studies 
  • Neural Network
  • Data mining and recommender systems

What is Machine Learning?

Machine learning in recent times has become one of the most sought after courses in the field of science and technology. Due to which new scientific studies and technologies are being innovated frequently to cope up with immense data, technicalities that machine learning challenges in today’s time. Machine Learning is one such advancement in the field of the technology sector that has reshaped the entire lives of people, and hence students are currently trying to seek admission in this field as per its growing demand.

Here is a list of jobs that a person can apply for after completing this course:-

  • Software Engineer
  • Software Developer
  • Computational Linguist
  • Data Scientist
  • Designer in Human-Centred Machine Learning
  • Machine Learning Engineer
  • Machine Learning Researcher
  • Data Architect
  • Data Mining Specialist
  • Cyber Security Analyst
  • Cloud Architect

Machine Learning Admission Process

Though Machine Learning is seen as a subset of Artificial Intelligence, the demand for Machine Level courses has increased significantly in the past few years. This has happened due to the enhancement in the field of technology with its increased enrollments in this course. Therefore, many courses of Machine Learning have been established by various levels by many leading institutions of the country. The admission procedure is the same as Artificial Intelligence. The candidate must look into the websites of the colleges and must check the availability of the forms to seek admission. The eligibility is listed on college websites.

The lists of colleges are given below for the candidates to seek a better knowledge of the course.

  • Indian Institutes of Technology, (IIT), Kanpur
  • Indian Institute of Management, (IIM), Bangalore
  • National Institute of Technology
  • Indian School of Business, Hyderabad
  • Lovely Professional University (LPU), Phagwara
  • Institute of Finance and International Management (IFIM), Bangalore
  • Chandigarh University, (CU)

Courses For Machine Learning 

Level Degree
Undergraduate Bachelors of Technology (B.Tech)
undergraduate Bachelors in Science of Machine Learning 
postgraduate Masters of Technology (M.Tech)
Postgraduate  Masters  in Science of Machine Learning (Msc)
Certificate  Certificate courses in (ML)

Syllabus for ML

The syllabus of Machine Learning is extensive and exhaustive as the course is modified as per the demand. Several new topics are included, depending upon the choice of the students so that they can get an in-depth knowledge of the course. Basic topics included in the field are listed below:-

  • Unsupervised. Supervised and Reinforcement
  • Bias- Variance Tradeoff
  • Gradient Descent-Stochastic
  • Principal Component Analysis (PCA)
  • Linear Discriminant Analysis (LDA)
  • Learning Vector Quantization (LVQ)
  • Partial Least Squares
  • Ordinary Least Squares
  • Kernel Density Estimation
  • AIC, BIC
  • Root Mean Square Error
  • Algorithms
  • Logistic Regression
  • K Means Clustering
  • K Nearest Neighbors
  • Hypothesis testing

FAQs about Artificial Intelligence and Machine Learning

Q1) What are the various areas where AI (Artificial Intelligence) can be used?

It can be used in many areas such as Computing, Computer Software, Space Aeronautics, Bio-Informatics, and Humanoid Robotics.

Q2) Which programming language is not commonly used for AI?

Pearl language is not commonly used for AI.

Q3) Do I have to take up science in high-school to do graduation in ML?

Yes! You need to take up PCM in high-school in order to do graduation in the field of technology and science.

Q4) Can I do both the courses at one time?

Mechanical Learning is a subpart of Artificial Intelligence, so you will automatically study ML if you take up AI.

Written by
Insiya Naqvi
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