AI & Robotics

Artificial Intelligence (AI) can be defined as the technology that uses computer and their applications to model and/or replicate human behaviour and thought processes. It includes learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

Robotics is a branch of engineering that involves the conception, design, manufacture, and operation of robots.

Artificial intelligence (AI) and Robotics along with Machine Learning (ML) and the Internet of Things (IoT) form a powerful combination for automating tasks inside and outside of the factory setting. In recent years, AI has become an increasingly common presence in robotic solutions, introducing flexibility and learning capabilities in previously rigid applications.

Nowadays, there is a huge demand for AI and robotics in different sectors including manufacturing, health, automobile and others. Interested candidates can get enrolled on various courses offered by different colleges for specialization in Artificial intelligence (AI) and Robotics. One can also pursue AI specialization from within majors such as computer science, health informatics, graphic design, information technology, ML, IoT or engineering. A career in Artificial Intelligence and Robotics can be realized within a variety of settings including private companies, public organizations, education, the arts, healthcare facilities, government agencies and the military.

What is Machine Learning?

Machine learning is a part of Artificial Intelligence (AI) that provides knowledge to computers through data, observations and interaction with the world. The acquired knowledge allows computers to automatically improve with experience, and generate more accurate results.

Using Machine Learning (ML), Computers analyse the data to learn from it, identify patterns and make decisions with minimal human intervention. It makes computers get into a self-learning mode without explicit programming. When fed new data, these computers learn, grow, change and develop by themselves.

Applications of Machine Learning

Almost every industry is using Machine learning because of a wide range of its applications. Below are a few applications of it.

• Virtual Personal Assistant: Siri and Alexa are some of the common examples of virtual personal assistants.
• Facial recognition
• Email spam filter
• Recommendation engine on an e-commerce website
• Online fraud detection
• Online Customer Support i.e. Chatbot
• Search Engine Result Refining

Course Eligibility for AI & Machine Learning Courses

Colleges across India offers Artificial intelligence (AI) and Robotics courses in various modes and at various levels. Students will also get good practical knowledge of Machine Learning (ML) and the Internet of Things (IoT) during any of the course. The eligibility for each course varies depending on its levels and mode. Interested candidates can have a look at the generic eligibility criteria that candidates must fulfil before joining any course on AI, Machine Learning & Robotics.

For undergraduate courses: For admission to the undergraduate degree programmes of AI, Machine Learning & Robotics, candidates must have completed their +2 education in the science stream from a recognised board.

For postgraduate courses: For admission to a postgraduate programme, candidates must have completed their graduation in a relevant stream of engineering or science from a recognised university/institute.

Popular Entrance Exams for AI, Machine Learning & Robotics Courses

Admission to the degree programmes in Cloud Computing are offered through various entrance exams conducted at national/state level. However, some private universities also conduct in-house entrance tests. Take a look at some of the popular exams conducted for admission to various cloud computing courses.

Popular Entrance Exams for AI, Machine Learning & Robotics courses
JEE Main	JEE Advanced
VITEEE	SRMJEEE
IPUCET	MHT CET

Skillset Required to Become an AI & Machine Learning Expert

Artificial intelligence (AI) is an evolving technology and one can witness updates related to it on regular basis and same is the case with robotics. One must possess the following skills along with academics for having a good future in this field and to become an expert at Machine Learning expert. 

Skillset for Machine Learning
Computer Organisation	Data Modeling
System Architecture and Layers	Sound knowledge of programming languages such as Python and R
Analytical skill	Research-oriented
Sound knowledge of Mathematics and Algorithms	Well-Versed With Probability and Statistics
Expertise in Programming Languages	Good Command over Unix Tools
Sound knowledge of Advanced Signal Processing Techniques	Stay updated and grasp new concepts quickly

The knowledge of Machine Learning (ML) and the Internet of Things (IoT) is an added advantage for any candidates who want to pursue a career in Artificial intelligence (AI) and Robotics.

Online AI Courses

Candidates can check the list of few online AI Courses in the table

Course Name & Provider	Course Mode	Course Fee
Introduction to Artificial Intelligence by IBM at Udacity	Online	Free of cost
AI Engineering Professional Certificate by IBM at Coursera	Online	Free of cost
Applied AI Course by Google	Online	Free of cost
Professional Certificate in Applied AI BY IBM at edx	Online	INR 28,994
Artificial Intelligence: Reinforcement Learning in Python at Udemy	Online	INR 3,200

Online Robotics Courses

Candidates can check the list of few online Robotics Courses in the table

Course Name & Provider	Course Mode	Duration	Course Fee
Robotics Certification by Penn by edX	Online	12 weeks	Free of Cost
Modern Robotics Certification by Coursera	Online	20 weeks	Free of Cost
Electricity & electronics – Robotics learn by building -- Udemy	Online	10 hours	INR 490
Digital Electronics: Robotics, learn by building module-II by Udemy	Online	10 hours	INR 490
ROS – Robot Operating System by edX	Online	6 weeks	Free of cost

Top Job Profiles for AI, Machine Learning & Robotics 

Candidates can get information about the various job roles after pursuing a course in AI, machine learning & Robotics in the table below:

Job profile	Job Description
Machine Learning (ML) Engineer	Computer programmers with strong software skills
Robotics Scientist	Build and maintain robots
AI Research Scientist	Operates as an expert in several AI disciplines, including machine learning, deep learning, computer perception, applied maths and computational statistics.
Data Scientist	Analyse, visualise, and model large volumes of data
Business Intelligence Developer	Plan solutions for problems within a business and increase its profitability
Software Developer	Oversee the entire development process of computer programs for a business

Top Recruiters for AI, Machine Learning & Robotics Professionals

• Amazon
• Boston Dynamics
• Cruise Automation
• Facebook
• Microsoft
• NVIDIA
• UBTech
• Universal Robots

Also Read: Courses in AI and Machine Learning

Following are the most popular AI & Robotics Colleges in India. Learn more about these AI & Robotics colleges (Courses, Reviews, Answers & more) by downloading the Brochure.

Following are the most popular AI & Robotics courses, based on alumni reviews. Explore these reviews to choose the best course in AI & Robotics.

Following are the most popular AI & Robotics UG Courses . You can explore the top Colleges offering these UG Courses by clicking the links below.

Following are the most popular AI & Robotics PG Courses . You can explore the top Colleges offering these PG Courses by clicking the links below.

Following are the most popular AI & Robotics Specializations . You can explore the top Colleges offering these Specializations by clicking the links below.