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Artificial Intelligence, in simple terms, refers to the ability of computers, machines, and robots to mimic enact or copy the decision-making and problem-solving capabilities of the human intellectual mind. While many definitions have emerged of artificial intelligence, over decades, John McCarthy, says, “It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to the method that is biologically observable.”
Amrita Vishwa Vidyapeetham’s Artificial Intelligence and robotics certification course is specially designed by our experienced team. This certification* course will provide sufficient knowledge about AI and ML technologies, big data and data science, Python for AI and ML, the role of artificial intelligence in electric vehicles, future scope of AI in India, etc.
Amrita Vishwa Vidyapeetham’s Artificial Intelligence and robotics certification course is specially designed by our experienced team. This Program is categorized into two, Virtual Session, in which Students will have 5 hour online theory classes followed by a quiz on AI & Robotics. In Onground session student will have 2 hour theory and 3 hour practical session on AI & Robotics.
Day 1: Introduction to Artificial Intelligence and machine learning technologies
Day 2: Robotics and its applications
Day 3: Big data & Data science
Day 4: Python for AI & ML
Day 5: Applications of AI
The field of artificial intelligence has a tremendous career outlook, with the Bureau of Labor Statistics predicting a 31.4 percent, by 2030, increase in jobs for data scientists and mathematical science professionals, which are crucial to AI.
Royal Bank of Canada, IBM, Scotiabank, KPMG, Amazon, Loyalty One, TD Bank, Kinaxis, Huawei and Capital One, etc.
AI is a bigger concept to create intelligent machines that can simulate human thinking capability and behavior, whereas, machine learning is an application or subset of AI that allows machines to learn from data without being programmed explicitly.
The main areas of specialization in artificial intelligence include Machine Learning, Deep Learning, Python, Data Analysis, Language Processing, etc.
The demand for Robotics Engineers is higher worldwide and thus, the pay scale for them is higher. Being a Robotics Engineer provides various opportunities to work in different sectors such as mining, nuclear power, etc.
FANUC, NVIDIA, KUKA Robotics Corp, EDAG, Addverb Technologies, Braintech, etc.
Coding is an essential set of instructions that a robot can read and execute. Robotics combines the use of electronics, mechanics, and coding software to program robots to do particular jobs.