Artificial Intelligence Training Course
What is Artificial Intelligence?
According to the father of Artificial Intelligence, John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs”
Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Artificial Intelligence is accomplished by studying how the human brain thinks, and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems.
Most of us have used Siri, Google Assistant, Cortana, or even Bixby at some point in our lives. What are they? They are our digital personal assistants powered with Artificial Intelligence. They help us find useful information when we ask for it using our voice; we can say ‘Hey Siri, show me the closest fast-food restaurant’ or ‘Who is the 21st President of the United States?’, and the assistant will respond with the relevant information by either going through your phone or searching on the web. This is a simple example of Artificial Intelligence!
Artificial Intelligence works with large amounts of data which are first combined with fast, iterative processing and smart algorithms that allow the system to learn from the patterns within the data. This way, the system would be able to deliver accurate or close to accurate outputs. As it sounds, Artificial Intelligence is a vast subject, which involves much-advanced and complex processes, and hence its field of study includes many theories, methods, and technologies
What are the applications of Artificial Intelligence?
Fraud Detection : Every time you make a transaction online/offline, using your credit or debit card, you receive a message from your bank asking if you have made that transaction. The bank also asks you to report if you haven’t made the transaction. The bank feeds its Artificial Intelligence system with data regarding both fraudulent and non-fraudulent transactions. The Artificial Intelligence system learns from this data and then predicts which transactions are fraudulent and which are not based on this huge training set.
Music and Movie Recommendations:
Did you know that Mark Zuckerberg had created Synapse, a music player which suggested songs that users would likely to listen to? Netflix, Spotify, and Pandora also recommend music and movies for users based on their past interests and purchases. These sites accomplish this by garnering the choices users had made earlier and providing these choices as inputs into the learning algorithm.
Artificial Intelligence in Retail :
The market size of Artificial Intelligence software is expected to reach up to $36 million by 2025. This hype in the market has caused retailers to pay attention to Artificial Intelligence. Thus, the majority of big- and small-scale industries are adopting Artificial Intelligence tools in novel ways across the entire product life cycle—right from the assembling stage to the post-sale customer–service interactions.
Autopilot Flight:
With the Artificial Intelligence technology, the pilot only needs to put the system on the autopilot mode and then the majority operations of the flight will be taken care of by Artificial Intelligence itself. It is reported by The New York Times that only seven minutes of human intervention (which mostly relates takeoff and landing) is required for the average flight of a Boeing plane.
Duration
2.5 Months including Lab
Eligibility
Undergraduates, Graduates
Post-Graduates
Job Aspirants
School Going Students
Pre-requisites
Data Science Concepts
Python
Artificial Intelligence has been dominant in various fields such as −
Gaming − Artificial Intelligence plays crucial role in strategic games such as chess, poker, tic-tac-toe, etc., where machine can think of large number of possible positions based on heuristic knowledge.
Expert Systems − There are some applications which integrate machine, software, and special information to impart reasoning and advising. They provide explanation and advice to the users using Artificial Intelligence.
Vision Systems − These systems understand, interpret, and comprehend visual input on the computer with Artificial Intelligence. For example,
A spying aeroplane takes photographs, which are used to figure out spatial information or map of the areas.
Doctors use clinical expert system to diagnose the patient.
Police use computer software that can recognize the face of criminal with the stored portrait made by forensic artist.
- Natural Language Processing − It is possible to interact with the computer that understands natural language spoken by humans.
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Speech Recognition − Some intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings while a human talks to it. It can handle different accents, slang words, noise in the background, change in human’s noise due to cold, etc with the help of Artificial Intelligence.
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Handwriting Recognition − The handwriting recognition software reads the text written on paper by a pen or on screen by a stylus. It can recognize the shapes of the letters and convert it into editable text using Artificial Intelligence.
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Intelligent Robots − Robots are able to perform the tasks given by a human. They have sensors to detect physical data from the real world such as light, heat, temperature, movement, sound, bump, and pressure using Artificial Intelligence. They have efficient processors, multiple sensors and huge memory, to exhibit intelligence. In addition, they are capable of learning from their mistakes and they can adapt to the new environment by Artificial Intelligence.
In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals.
- Introduction to Artificial Intelligence
- History of Artificial Intelligence
- Building intelligent agents using Artificial Intelligence (search, games, logic, constraint satisfaction problems)
- Pre-Program Preparation in Artificial Intelligence
- Statistics Essentials in Artificial Intelligence
- Machine Learning in Artificial Intelligence
- Natural Language Processing using Artificial Intelligence
- Neural Networks & Deep Learning in Artificial Intelligence
- Graphical Models at Artificial Intelligence
- Reinforcement Learning in Artificial Intelligence
- Solving real Artificial Intelligence problems through programming with Python
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1. Good experience
2. Regularly practical training
3. Best FACULTY
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All topics covered with proper practical session.
Good and healthy environment is there.
They are covering maximum syllabus for the Big data, As well as giving corporate data sets for the self practices.
