Artificial Intelligence and Machine Learning

AI and Machine Learning

Artificial Intelligence (AI) is the colossal, ambient category that elucidates the thesis and expansion of computer systems, which can execute assignments typically craving human intelligence, such as speech recognition, visual perception, decision-making, and translation between languages. Machine Learning (ML) is a subset of AI that administers systems the aptitude to imbibe and emend from actuality without being distinctly programmed automatically.

Artificial Intelligence and Machine Learning Eligibility Criteria

The following are the eligibility criteria for Artificial Intelligence and Machine Learning, which a candidate must go through before applying strictly. They are;

  • Candidates or Working Professionals with a degree in Bachelor’s of Engineering and Technology or equivalent from any recognized University/ Institute can apply.
  • Applicants who have completed their Master’s degree and have work experience in the relevant field are eligible for this course.
  • Preferences will be given to students having knowledge in Python programming.

Artificial Intelligence and Machine Learning Course Syllabus

Artificial Intelligence (AI) and Machine Learning are some of the new fields which provide higher exposure to help the candidate build their carrier as professionals in AI and as Data Scientists. The entire syllabus is designed to enhance the knowledge in algorithms, languages, and statistics. The overall program focuses on;

Module 1 – Pre Program Preparation

  • Introduction to Python
  • Python for Data Science
  • Data Visualisation in Python
  • Data Analysis using SQL
  • Advanced SQL
  • Math for Machine Learning

Module 2 – Statistics and Exploratory Data Analytics

  • Analytics Problem Solving
  • Inferential Statistics
  • Investment Case Study
  • Exploratory Data Analysis
  • Hypothesis Testing
  • Group Project

Module 3 – Machine Learning 1

  • Linear Regression
  • Linear Regression Assignment
  • Investment Case Study
  • Naive Bayes
  • Logistic Regression
  • Model Selection

Module 4 – Machine Learning 2

  • Advanced Regression
  • Tree Models
  • Support Vector Machine (Optional)
  • Boosting
  • Unsupervised Learning: Principal Component Analysis
  • Model Selection – Practical Considerations
  • Unsupervised Learning: Clustering
  • Telecom Churn Case Study

Module 5- Natural Language Processing

  • Semantic Processing
  • Building Chatbots with Rasa
  • Lexical Processing
  • Syntactic Processing
  • Syntactic Processing – Assignment

Module 6- Deep Learning

  • Introduction to Neural Networks
  • Neural Networks – Assignment
  • Recurrent Neural Networks
  • Convolutional Neural Networks – Industry Applications
  • Neural Networks Project – Gesture Recognition

Module 7- Reinforcement Learning

  • Classical Reinforcement Learning
  • Assignment – Classical Reinforcement Learning
  • Deep Reinforcement Learning
  • Reinforcement Learning Project

Module 8- Capstone

  • Capstone
  • Deployment

Skills Required for Artificial Intelligence and Machine Learning 

  • Mathematics – Statistics, Calculus, Probability, etc.
  • Programming – Python, R, Java, C++, etc.
  • Data Modeling
  • Software Engineering
  • Machine Learning Algorithms – SVMS, Quadratic Programming, etc.
  • Unix
IMT Distance MBA Admission 2020

Artificial Intelligence and Machine Learning job profiles 

Job profileAnnual salary Package
Data Scientist7 Lakhs – 10 Lakhs per annum
Business Development Manager5 Lakhs – 7 Lakhs per annum
ML Architect4 Lakhs – 6 Lakhs per annum
AI Engineer7 Lakhs – 13 Lakhs per annum
ML Engineer4 Lakhs – 7 Lakhs per annum
ML Specialist12 Lakhs – 15 Lakhs per annum
ML Applied Research Scientist12 Lakhs – 14 Lakhs per annum
ML Intelligent System Researcher4 Lakhs – 24 Lakhs per annum

Top Companies Hiring Artificial Intelligence and Machine Learning

  • Abiresearch
  • SoftAge (AI-Company)
  • Thinksys
  • PureSoftware
  • TechVantage Analytics
  • Fugenx
  • Amazon
  • Google
  • Wipro
  • Microsoft
  • Bosch group
  • Adobe
  • JP Morgan Chase & Co.
  • Accenture, etc.

Artificial Intelligence and Machine Learning Scope in Future  

As humans make mistakes, this has led to machines’ requirement, and with machines comes the need for artificial intelligence and machine learning. AI and ML have helped in reducing the mistakes that humans generally make and along with that various other limitations.There are many areas in which its importance has been seen; some are robotics, video games development, programming, language detection, and speech recognition. Along with these, many financial Institutions and banks are and will incorporate the following into their work.

Popular Artificial Intelligence and Machine Learning Colleges in India

Following are the most popular Artificial Intelligence and Machine Learning Colleges in India. Learn more about these Artificial Intelligence and Machine Learning colleges (Courses, Reviews, Answers & more) by downloading the Brochure.

  • Indian Institute of Information and Technology, Bangalore
  • Indian Institute of Information and Technology, Hyderabad
  • Manipal ProLearn
  • Jigsaw Academy