Artificial Intelligence Course in Chennai

Artificial Intelligence is the simulation of human intelligence in a machine to enable them to think for themselves. It is used to perform mundane tasks that reduce human effort and inadequacy. With the help of domains like Machine learning, Big Data, Neural Networks, Deep learning and more, we are now capable of advanced perception to learn, reason and resolve problems using machines. The field of drug development is one that is expanding quickly and AI is greatly assisting researchers in this area. Researchers in biotechnology are also utilising AI to create microbes for industrial uses. Science is undergoing a substantial revolution because of AI. 

Almost all industries rely on Artificial Intelligence for their business decisions. From marketing to automation, AI is an integral part of our digital lives today. Since innovation and evolution will only move forward, it is right to say that so will Artificial Intelligence. Thus, at FITA Academy, we adopt techniques to teach building intelligent computer systems and AI applications to problems.

Course Objectives of the Artificial Intelligence Training in Chennai

• Describe the history of Artificial Intelligence and its role in industries.
• Understand the basic AI concepts and their operations.
• Learn Python programming language to run projects further ahead in the course.
• Differentiate between Supervised and Unsupervised learning.
• Demonstrate Machine learning algorithms and their functions in AI.
• Implement Machine Learning and AI using Python.
• Understand natural language processing, neural networks and predictive analysis.
• Explore tools, frameworks, libraries and features used in AI.
• Apply deep learning using TensorFlow to analyse results.
• Learn image processing and computer vision for data analysis.
• Understand the limitations of AI applications in problem-solving.

AI has a lot of advantages in the industry. The potential for AI in India is great since businesses are in dire need of certified experts who can draw valuable information from vast amounts of data. Due to its expansion, skilled AI workers are needed across many industries. Thus, it has a wide of job opportunities available for people interested in or wishing to pursue a future in this industry. 

Where is AI Applied?

Programs involving strategic games like chess and poker currently incorporate AI in their design. Based on heuristic knowledge, the machine in this case is capable of considering any potential outcomes. When a computer needs to comprehend human speech in its natural setting, it is used in natural language processing. AI is used by expert systems that employ software, hardware and other specialised knowledge to convey reasoning abilities. The ability to comprehend and interpret visual information on a computer is a function of vision systems employing AI. AI is used by voice recognition systems to monitor speech and decipher the meaning of each sound produced by humans. More software programmes that would use AI to simplify human life are currently being created.

Advantages of Using AI in Businesses

Computer programmes can now reason and learn on their own after applying artificial intelligence algorithms. And this has some important effects on the firms. If you want to use artificial intelligence in any kind of business, you must first finish the AI Classes in Chennai. Our courses provide you with a thorough grasp of AI and how it may enhance your company. You can make better judgements and processes after finishing our courses, which will help you succeed. 

Let's look at the main advantages that firms were able to realise as a result of applying AI approaches.

Process errors are less frequent

Humans have a tendency for making errors, which is a well-known fact. They are either careless or exhausted as a result. However, organisations were able to drastically reduce errors and the likelihood of making them by applying AI solutions. It's because computers or bots already have a lot of algorithms and data loaded into them. The use of AI techniques allowed the machines to make precise decisions using the knowledge and data they had previously gathered. The fact that enterprises were able to create outcomes with accuracy and ease while also achieving a high degree of precision after using artificial intelligence technology is also something that cannot be disputed.

Digital Support

Some very cutting-edge businesses use digital aid to communicate with their clients. The majority of this digital assistance can be found online. For instance, Chatbots respond to every question you enter on their websites. Even with some Toll-Free numbers, the voice bots who respond to all of our questions are only made feasible by artificial intelligence methods. This digital assistance benefits both businesses and customers. The machines are asked to respond immediately when a customer asks a question. These queries are now also kept in the database. Now, whenever the employee comes in, he can pick up where the task was left off.

In a sense, this greatly boosted the efficiency of the organisations.

Common Applications

Along with clothing, food, shelter and water, mobile phones have managed to become a basic necessity in the current generation. The majority of mobile phone owners are oblivious that they are adopting AI technology. For instance, the usage of artificial intelligence is the only reason that Google Maps for navigation, Siri on iPhones, Amazon Echo and Cortana on Windows are all currently possible. However, AI performs entirely other tasks for businesses, such as building up fraud detection systems in the financial industries. AI methods are the only ones that make punch-ins and punch-outs in IT facilities using handprint or face recognition conceivable.

Always accessible

The fact that AI can work all the time is one of the main advantages of using one to complete a task. It's because machines don't need breaks or refreshments as people do. It is flexible enough to be scheduled for extended hours without any interruptions. Additionally, once artificial intelligence techniques are used, machines may work much more productively and finish jobs and projects on schedule.

Quick decision

Machines are significantly more efficient than humans at making decisions. It's because the robots can quickly analyse the vast amounts of data that have already been gathered. Additionally, although humans occasionally display emotional ties when making judgements, machines are considerably more capable of doing so than we are. Additionally, it has the ability to yield the intended outcomes. For instance, playing an online chess game makes it nearly impossible for us to overcome the machine because the AI strategies are so effectively applied.

Assistance for Repeated Work

In general, the daily operations of any organisation would involve a huge number of repetitive jobs. These duties include document verification, delivering birthday or special occasion congratulations to the staff, sending thank-you notes to clients and customers, managing errors and storing new information. These duties take a lot of time and sometimes the employees find it boring to do them. When organisations use artificial intelligence approaches, this might be readily resolved. Almost all routine jobs can be easily automated with the use of AI techniques and when compared to humans, they can be completed with total accuracy and robustness.

With the AI Courses in Chennai at FITA Academy, students are provided with comprehensive training in both its concepts and applications under the mentorship of real-time professionals with certifications. 

Other technologies that support AI 

IoT – It is another technology that AI supports. Most of the data generated by connected devices, most of which are unanalyzed, is generated by IoT. All of these models can be automated using AI, allowing you to use or change them.

Graphics Processing Units – The key to AI is the use of graphics processing units, which provide the robust computing and capacity required for iterative processing. For neural networks, training is necessary, which requires big data and more processing power.

Applications Programming Interfaces – They are often known as APIs and are portable sets of code that let you add AI capabilities to already-existing applications and products. It can provide further image recognition capabilities for systems that include data, headlines and captions for home security questions and answers as well as for the creation of intriguing patterns for data analysis.

Advanced algorithms – They are created and combined in a variety of ways to analyse data faster at various levels. It is a cornerstone of intelligent processing that can foresee unusual events, intricate systems and unexpected circumstances.

In general, AI attempts to provide software that can accurately interpret the input and provide the desired output. AI is able to provide human-like interactions in addition to software that helps with specific activities. FITA Academy's Artificial Intelligence Course in Chennai assists students in becoming familiar with AI principles and methodologies and provides them with the necessary placement assistance.

Skills Required To Become A Proficient AI Specialist

• Programming Skills

The fundamental skill necessary to become an AI expert is programming. Learning computer languages like Python, R, Java and C++ to design and execute models is essential for becoming proficient in AI.

• Algorithms and Framework

Your ability to execute machine learning models will increase as you become more familiar with how they operate. You should also be familiar with deep learning methods and be able to implement frameworks in order to create AI models from large datasets. Theano, TensorFlow, Caffe and PyTorch are a few of the most popular artificial intelligence frameworks that an AI expert should be well-versed in.

• Big data Technologies

AI engineers work with huge amounts of real-time data. To make sense of such data, these engineers need to be familiar with Spark and other big data technologies. One should also be familiar with other big data tools like Apache Spark, Hadoop, Cassandra and MongoDB.

• Mathematics

In order to complete tasks and deliver the appropriate results, an AI specialist is expected to have a thorough grasp of statistics and mathematics. For a strong foundation in Artificial Intelligence, it's essential to be knowledgeable in probability, algebra and statistics.

• Business Intelligence

If you wish to work in the AI industry, business intelligence is an essential skill you must require. Most of the organisational management issues can be solved by effective artificial intelligence projects. You can turn your technology concepts into successful company endeavours if you have business intelligence. Regardless of your current industry, you should aim to develop a fundamental understanding of how businesses operate, the target markets they serve and the competition within the market. 

• Creativity

Innovative AI models and technological solutions could have to offer a wide range of solutions to a single problem. To draw valid conclusions, you must examine the information provided quickly. The majority of these skills can be learned and strengthened while pursuing your AI Courses in Chennai, through which you can look for additional opportunities and experiences to develop your skills in this field.

Different roles of an artificial intelligence expert

• AI Engineer

An AI engineer creates AI models utilising deep learning neural systems and machine learning algorithms in order to derive business insights that may be used to make decisions that will have an impact on the entire organisation. A diligent, analytical and imaginative mind is necessary for the position of artificial intelligence engineer. They must have a sense of teamwork, be receptive and be active listeners. Their technical expertise is quite varied and wide. AI engineers are proficient in statistics and maths with thorough knowledge in the development of AI algorithms, computer science, programming languages and automated systems.

• Machine Learning Engineer

Machine learning engineers play a significant role in the data science team. Their responsibilities include studying, developing and creating the artificial intelligence that drives machine learning. A machine learning engineer frequently works closely with the data scientists who create the models for creating AI systems and the individuals who create and manage them. They also play a crucial communication role with other members of the team. They manage and optimise current artificial intelligence technologies for optimum efficiency.

• Research Scientist

It is the responsibility of research scientists to organise, carry out and analyse data from carefully monitored laboratory studies, experiments and trials. Almost every branch of science employs research scientists. They organise and conduct tests and inspections in a variety of fields, such as medicine, forecasting, geoscience and other research. They are in charge of organising and carrying out tests, collecting and analysing data, doing fieldwork, developing fresh solutions to issues and keeping updated with modern scientific and technological advancements.

• Business Intelligence Developer

Engineers who create, operate and manage BI interfaces are known as business intelligence developers. These engineers are good at handling query tools, data integration and data visualisation and data modelling tools. It takes extensive software engineering, databases and data analysis knowledge to create BI interfaces. BI developer talents include creating and executing data-driven queries on demand, as well as the continual technological advancement of an organisation's BI infrastructure or services.

• Data Scientist 

A data scientist examines company data to obtain valuable information. The data scientist converts the source data into an analysis-ready format after the data has been collected. The data must be cleaned and verified to ensure uniformity, completeness and accuracy. The data scientist resolves the issue by raising the appropriate queries and obtaining understanding before beginning the data collecting and analysis. Data scientists collect both organised and unstructured information from a variety of different sources. Secure a career in this field by enrolling on the Data Science Course in Chennai to become a proficient Data Scientist.

• Robotics Engineer

Engineers who specialise in robotics serve as a link between cognitive psychology, computer science, electronics and mechanics. They are responsible for constructing, setting up, testing robots and creating software programmes to operate their robots. They design automated systems that are employed in a particular industry to boost output and accuracy. Their main focus is on creating the methods and tactics needed to design and construct efficient robots. Some robotics experts also create the tools used to assemble the robots themselves.

• Big Data Engineer

The person in charge of creating, maintaining, testing, analysing and assessing a company's data is known as a big data engineer. Large data engineers are ultimately responsible for assisting businesses in managing their big data. Their main role is creating and putting software systems into use and establishing data collection and processing mechanisms. Big data engineers are experienced software developers who are simultaneously outstanding coders, data scientists and engineers. Any big data engineer may find themself executing a variety of jobs in this versatile role. A big data engineer might work in networking environments, help with required documentation, clear up data inconsistencies and more.

Artificial Intelligence is a growing field that has found its way into almost all industries. AI shortens the time required to finish a task. It enables multitasking and reduces the burden on the resources available. With AI, traditionally, complex tasks can be finished without facing significant financial expenditures. AI has no disruptions and operates indefinitely. AI is applied extensively in the following sectors.

• Medicine
• Transportation
• Banking
• Finance
• Manufacturing
• Security

Classification Of Artificial Intelligence - 3 Types

• Artificial Narrow Intelligence

The phase of artificial intelligence known as ANI involves computers that are only capable of carrying out a very precise set of activities. At this point, the machine only executes a list of predefined tasks; it is incapable of thinking. Narrow AI is a subgroup of AI that is capable of performing specified tasks. The most common and widely accessible type of artificial intelligence is narrow AI. Since narrow AI is only taught for a single job, it cannot accomplish tasks outside of its domain or set of constraints. As a result, it is often known as weak AI. A few examples of ANI include Siri, Alexa and IBM’s Watson supercomputers.

• Artificial General Intelligence

Artificial General Intelligence (AGI) is the stage in the advancement of artificial intelligence at which machines will have the capability to think and act similarly to humans. General AI aims to create a system that is intelligent enough to think like a person on its own. At present, there is no system that falls under general AI that can carry out every work as well as a person. Researchers from all across the world are currently concentrating on creating general AI devices. As generic AI systems are still being researched, it will take a long time and many resources to construct such programs.

• Artificial Super Intelligence

Super AI is a degree of system intelligence where computers are capable of overtaking mankind in any task due to their cognitive abilities. It is the result of general AI. The level of artificial intelligence at which computers will be more intelligent than people is known as Super AI. Currently, ASI is an imagined scenario when machines have overtaken the planet, as seen in science fiction films and books. Strong AI has the capacity to understand, reason, solve puzzles, make judgements, plan, educate and communicate on its own, among other crucial features. Super AI is currently just an idealised idea in the world of artificial intelligence. Real-world implementation of such systems is still a challenging endeavour.

Future Of Artificial Intelligence In Our Society

• AI and Machine learning will only grow drastically from here. Artificial Intelligence is said to open many new possibilities that are beyond our imagination. 
• The productivity of our workplaces can be significantly increased by artificial intelligence, which can also help humans accomplish more work. 
• The human workforce may now focus on activities for which they are better qualified, such as those requiring creativity and empathy, while AI replaces laborious or dangerous tasks.
• AI will be crucial to the healthcare sector since it will enable better and more precise disease diagnoses. AI will hasten and lower the cost of discovering new medicines.
• Additionally, it will increase patient involvement in their care and make booking appointments and paying bills easier and less error-prone.
• In the transportation industry, AI and machine learning are being used to lower workload, manage driver stress and exhaustion and enhance on-time productivity.
• In the near future, artificial intelligence will be crucial to the e-commerce industry. It will have a favourable effect on every facet of the e-commerce industry, from customer satisfaction to brand advertising and delivery.
• AI also has a promising future in manufacturing, banking & finance, media and many more industries.

The coursework for our Artificial Intelligence Training in Chennai is designed to give students exposure to the practical uses of AI's core concepts, incorporating models, methodologies and tools under the correct supervision and direction of our specialists. The course's theoretical component will provide an in-depth understanding of the distinctions between unsupervised, supervised and reinforced training. In addition to that, our expert trainers will conduct hands-on training sessions for our students to help them become experts in artificial intelligence. These sessions will cover topics like clustering, data reprocessing, regression, deep learning, machine learning methodologies and their application with TensorFlow. The artificial intelligence course is broken up into multiple modules that each cover a key area of AI.

The course's first module provides an overview of artificial intelligence. We provide the Best Artificial Intelligence Training in Chennai that covers the following topics: the necessity for artificial intelligence, applications, essential elements and its prospects. The second module presents the topic of data and provides the trainees with a thorough understanding of computational data as well as datasets, big data and the concepts of data science. To become skilled AI developers, students must also learn artificial intelligence languages. Our trainers have included a course on artificial intelligence languages that combines computer programming, Python and some of the top AI languages that will be popular in 2023, including C, C++, Java, Javascript, Ruby, Python, Swift and Go. 

Data visualisation is covered in the third module training curriculum of artificial intelligence. The subjects covered in this module include the use of algebra, probability and statistics in AI, the necessity of data visualisation in AI, identifying the sort of graph that will be used on the applicable application and a practical evaluation of creating a simple graph using data with a spreadsheet. The student will understand the several forms of data throughout our AI Courses in Chennai, as well as various representations of the same data. In addition, the professors will demonstrate how to analyse and extrapolate knowledge from data that has been represented as diagrams, drawings and symbols.

The Artificial Intelligence Training in Chennai integrates relevant concepts for your industry-oriented knowledge. The trainers of this course are working professionals with several years of expertise in AI applications. In order to help aspirants keep current in their careers, they use the most recent techniques and features. Regular assignments, tests, hands-on projects and practical workshops conducted at FITA Academy help you become a skilled professional to land your ideal career in this industry.