Course Highlights and Why Learn Artificial Intelligence Course in Chennai at FITA Academy?
Upcoming Batches
| 25-03-2023 | Weekend | Saturday (Saturday - Sunday) | |
| 27-03-2023 | Weekdays | Monday (Monday - Friday) | |
| 30-03-2023 | Weekdays | Thursday (Monday - Friday) | |
| 01-04-2023 | Weekend | Saturday (Saturday - Sunday) |
Classroom Training
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Instructor-Led Live Online Training
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Syllabus
- Understanding Data Science
- The Data Science Life Cycle
- Understanding Artificial Intelligence (AI)
- Overview of Implementation of Artificial Intelligence
- Machine Learning
- Deep Learning
- Artificial Neural Networks (ANN)
- Natural Language Processing (NLP)
- How Python connected to Machine Learning
- Python as a tool for Machine Learning Implementation
- What is Python and history of Python
- Python-2 and Python-3 differences
- Install Python and Environment Setup
- Python Identifiers, Keywords, and Indentation
- Comments and document interlude in Python
- Command-line arguments and Getting User Input
- Python Basic Data Types and Variables
- Understanding Lists in Python
- Understanding Iterators
- Generators, Comprehensions and Lambda Expressions
- Understanding and using Ranges
- Introduction to the section
- Python Dictionaries and More on Dictionaries
- Sets and Python Sets Examples
- Reading and writing text files
- Appending to Files
- Writing Binary Files Manually and using Pickle Module
- Python user defined functions
- Python packages functions
- The anonymous Functions
- Loops and statement in Python
- Python Modules & Packages
- What is Exception?
- Handling an exception
- try….except…else
- try-finally clause
- The argument of an Exception
- Python Standard Exceptions
- Raising an exceptions
- User-Defined Exceptions
- What are regular expressions?
- The match Function and the Search Function
- Matching vs Searching
- Search and Replace
- Extended Regular Expressions and Wildcard
- Collections – named tuples, default dicts
- Debugging and breakpoints, Using IDEs
- Understanding different types of Data
- Understanding Data Extraction
- Managing Raw and Processed Data
- Wrangling Data using Python
- Using Mean, Median and Mode
- Variation and Standard Deviation
- Probability Density and Mass Functions
- Understanding Conditional Probability
- Exploratory Data Analysis (EDA)
- Working with Numpy, Scipy and Pandas
- Understand what is a Machine Learning Model
- Various Machine Learning Models
- Choosing the Right Model
- Training and Evaluating the Model
- Improving the Performance of the Model
- Understanding Predictive Model
- Working with Linear Regression
- Working with Polynomial Regression
- Understanding Multi Level Models
- Selecting the Right Model or Model Selection
- Need for selecting the Right Model
- Understanding Algorithm Boosting
- Various Types of Algorithm Boosting
- Understanding Adaptive Boosting
- Understanding the Machine Learning Algorithms
- Importance of Algorithms in Machine Learning
- Exploring different types of Machine Learning Algorithms
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Understanding the Supervised Learning Algorithm
- Understanding Classifications
- Working with different types of Classifications
- Learning and Implementing Classifications
- Logistic Regression
- Naïve Bayes Classifier
- Nearest Neighbour
- Support Vector Machines (SVM)
- Decision Trees
- Boosted Trees
- Random Forest
- Time Series Analysis (TSA)
- Understanding Time Series Analysis
- Advantages of using TSA
- Understanding various components of TSA
- AR and MA Models
- Understanding Stationarity
- Implementing Forecasting using TSA
- Understanding Unsupervised Learning
- Understanding Clustering and its uses
- Exploring K-means
- What is K-means Clustering
- How K-means Clustering Algorithm Works
- Implementing K-means Clustering
- Exploring Hierarchical Clustering
- Understanding Hierarchical Clustering
- Implementing Hierarchical Clustering
- Understanding Dimensionality Reduction
- Importance of Dimensions
- Purpose and advantages of Dimensionality Reduction
- Understanding Principal Component Analysis (PCA)
- Understanding Linear Discriminant Analysis (LDA)
- What is Hypothesis Testing in Machine Learning
- Advantages of using Hypothesis Testing
- Basics of Hypothesis
- Normalization
- Standard Normalization
- Parameters of Hypothesis Testing
- Null Hypothesis
- Alternative Hypothesis
- The P-Value
- Types of Tests
- T Test
- Z Test
- ANOVA Test
- Chi-Square Test
- Understanding Reinforcement Learning Algorithm
- Advantages of Reinforcement Learning Algorithm
- Components of Reinforcement Learning Algorithm
- Exploration Vs Exploitation tradeoff
- Understanding Artificial Intelligence
- Understanding Machine Learning
- Understanding the need for Deep Learning for Machines
- Understanding Deep Learning
- Understanding the Importance of Neural Network
- Understanding how Artificial Intelligence, Machine Learning and Deep Learning are related
- Introduction to Deep Learning Frameworks
- Introduction to Tensorflow and Keras
- Installing Tensorflow
- Installing Keras
- Understanding Deep Learning Environment in Cloud Platform with AWS
- Executing Tensorflow Code
- Executing Tensorflow in AWS
- Understanding Placeholders
- Creating Placeholders
- Updating Placeholders with Data
- Understanding Variables and Constants
- Understanding Computation Graph
- Exploring Tensor Board
- Understanding Functions in Tensorflow
- Exploring various Key Functions
- Activation Functions
- Sigmoid Functions and Softmax Functions
- Understanding Rectified Linear Units - ReLu and Hyperbolic Tangent Functions
- Understanding a Neural Network
- Understanding the Components of a Neural Network
- Input Layers
- Computational Layers
- Output Layers
- Understanding Forward Propagation and Back-Propagation
- Understanding the Hyper Parameters
- Understanding Perceptron
- Understanding Inputs and Weights
- Understanding Outputs
- Understanding Multi Layered Perceptron (MLP)
- Understanding and implementing Regularization
- Training Neural Networks
- Understanding Training Data Sets
- Understanding and using the MNIST Data Set
- Application Areas of MLP
- Working examples for MLP using Tensorflow and Keras
- Understanding what is Convolutional Neural Networks
- Understanding the Architecture of CNN
- Understanding the Convolutional Layers
- Understanding the Pooling Layer
- Understanding the Normalization Layer
- Understanding the Fully-Connected Layer
- Understanding various Popular CNN Architectures and Models
- Exploring the Imagenet Dataset
- Understanding MLP Vs CNN
- Application Areas of CNN
- Working Examples for CNN using Tensorflow and Keras
- Understanding Sequences
- Need for Neural Networks to Handle Sequences
- Understanding Recurrent Neural Networks – RNN
- Understanding the Recurrent Neuron
- Managing Forward Propagation and Back Propagation in a RNN
- Exploring various RNN Architectures
- Application Areas of RNN
- Working Examples for RNN using Tensorflow and Keras
- Understanding Recursive Neural Networks
- Understanding the differences between Recurrent and Recursive Neural networks
- Application areas of Recursive Neural Networks
- Working Examples for Recursive Neural Networks using Tensorflow and Keras
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Trainer Profile
- With FITA Academy, we provide students with a perfect blend of theoretical and practical knowledge of Artificial Intelligence concepts.
- The Artificial Intelligence Instructors at AI Classes in Chennai train students in industry-relevant skills.
- The AI Trainers have a lot of experience in the field of Artificial Intelligence and are highly qualified.
- Students receive hands-on training on Artificial Intelligence techniques from Artificial Intelligence Trainers who are real-time professionals.
- For our students to become highly-skilled professionals in the future, our trainers at FITA Academy provide them with in-depth training on the latest industry-relevant practices being used today.
- At FITA Academy, our Artificial Intelligence trainers provide extensive training and hands-on practice so that all students get the best learning experience.
- With valuable insights into interview questions and mock interviews, our AI Trainers assist students in building professional resumes and building their confidence.
Features
Real-Time Experts as Trainers
At FITA Academy, You will Learn from the Experts from industry who are Passionate in sharing their Knowledge with Learners. Get Personally Mentored by the Experts.
LIVE Project
Get an Opportunity to work in Real-time Projects that will give you a Deep Experience. Showcase your Project Experience & Increase your chance of getting Hired!
Certification
Get Certified by FITA Academy. Also, get Equipped to Clear Global Certifications. 72% FITA Academy Students appear for Global Certifications and 100% of them Clear it.
Affordable Fees
At FITA Academy, Course Fee is not only Affordable, but you have the option to pay it in Installments. Quality Training at an Affordable Price is our Motto.
Flexibility
At FITA Academy, you get Ultimate Flexibility. Classroom or Online Training? Early morning or Late evenings? Weekdays or Weekends? Regular Pace or Fast Track? - Pick whatever suits you the Best.
Placement Support
Tie-up & MOU with more than 1500+ Small & Medium Companies to Support you with Opportunities to Kick-Start & Step-up your Career.
Artificial Intelligence Certification Training in Chennai
About Artificial Intelligence Certification Course in Chennai at FITA Academy
Artificial Intelligence Certification Course in Chennai
A certification in Artificial Intelligence (AI) is one of the most recognized Credentials, indicating that a candidate has gained a thorough understanding of the concepts behind AI, as well as how AI can be applied to our daily lives. With real-time project experience, this certification identifies a candidate as an Artificial Intelligence Developer who has acquired the necessary skills. With this certificate along with your resume, you will be able to make your profile stand out when you go for an interview at the time, and it can also open a number of doorways for you to explore potential career opportunities.
With the help of our Artificial Intelligence Course in Chennai, you will have the opportunity to learn all the skills that you will need to become a professional in the field of AI development. Throughout the program, participants are taught by real-life professionals who have years of experience in the field of artificial intelligence. Students learn to use AI from professionals with more than 10 years of experience at FITA Academy. With the help of our AI Trainer, you will be able to learn about the most recent advancements in the field.
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Job Opportunities After Completing Artificial Intelligence Course in Chennai
The application of Artificial Intelligence in IT goes beyond the field of automation. Science, Agriculture, Cyber Security, Process Automobiles, Gaming and Entertainment, Education, and Medicine are just a few examples of where it has gained significance. In these industries, the most common job titles after completing our AI Courses in Chennai are
- Data Architect
- Data Scientist
- Machine Learning Engineer
The reputed companies that hire AI professionals are IBM, Amazon, NVIDIA, Microsoft, Accenture, Samsung, Intel, Facebook, Lenovo, Adobe, Apple, Oracle, Uber, MoTek Technologies, Wells Fargo, Rakuten Marketing, PCO Innovation, HCL, Flipkart, Cognizant, Google, Infosys, and TCS.
The median salary offered for a fresher Artificial Intelligence Engineer is Rs. 6,00,000 to Rs.8,00,000 per annum. With years of knowledge and experience, the AI Engineer may earn around Rs.10,00,000 to 18,00,000 per annum. Globally, an Artificial Engineer may earn around $ 165,000 yearly. These were the salary reports submitted by PayScale.com.
Data Architect
The Data Architect works on building the data pipeline of a company. They are responsible for building data warehouses, ETL, OLAP, and BI solutions. A data architect has a good understanding of databases and data structures. He/she is also familiar with the use of RDBMS and NoSQL databases.
Data Architecture can be defined as a set of practices, technologies, skills and tools used to create a data model. It is one of the key elements of an enterprise data strategy. And Data architect is a key position within any organisation. With the ever-growing demand for data, an individual must have experience in designing and managing data architectures. In order to become a data architect, one must complete an artificial intelligence course in Chennai to learn how to design and build data architectures.
Role and Responsibilities of Data Architect
- Business data infrastructure is designed by data architects. Data warehouses and other related systems are designed and implemented by them. There are many types of technologies and technologies that a data architect might work on. Technology related to this area includes relational database management systems (RDBMS), non-relational databases, cloud services, Hadoop, and stream processing platforms, among others.
- Data architectures are collections of data models that support an organisation’s information needs. A data architect is required to understand how data is stored and arranged in a database in order to be able to work with them effectively. An example of this is that, for a data model to be effective, it must be able to explain how data is structured. A data model is a method of organising data in a logical way that makes it easy for the user to understand how the data is related.
- It is the primary responsibility of a data architect to develop the data infrastructure for the company that will support the company’s business operations. One of the main responsibilities of a data architect is to design the data structure of a database, which will be used as a repository for all the company’s data, which will serve as the main component of a database. A data architect also builds a database model that is used to represent the data structures in the database.
- As a data architect, you are responsible for building data warehouses and data marts. Data structures and the schemas for the databases used to store the data are designed by them so they can store the data in an organised manner. The data architects are also expected to design the model for storing the data on a system in order to optimise queries and for other purposes.
- Building a data lake is also the responsibility of a data architect. It is their responsibility to design a data storage system that can be used to store and manage unstructured data. By using Hadoop, stream processing platforms, and NoSQL databases, data architects create data lakes based on the principles of data analysis.
- There are also data pipelines and data streams that can be built by a data architect. Users of these applications can easily interact with real-time data through these applications, which are data-intensive applications. For example, a data pipeline can be used to process financial transactions. In this case, the data is stored in a data warehouse. Data pipelines are also used to transfer data between different data sources.
- A data architect can also create ETL jobs and build ETL tools. These are tools that are used to move data from one source to another. ETL tools can be used to cleanse data, transform data, and load data into a database.
- Data visualisations and interactive dashboards are two more things that a data architect can produce. Basically, these are tools that enable users to visualise data in a graphical form. Businesses commonly use dashboards to monitor the progress of projects and to make important decisions regarding the progress of the projects.
- A data architect can also help implement change management practices. Change management is the process of making changes to data. It is usually done to avoid problems with the data.
- The data architect can also work with data mining tools. These are tools that are used to find patterns in data.
- The data architect can also work with data cleansing tools. These are tools that are used to cleanse data.
Data Scientist
Data Scientists work with large amounts of data and use advanced analytics techniques to produce new solutions that can be of benefit to their organisations. Programming, statistics, business analysis and computer science are among the areas of expertise that they possess.
Having a Data Scientist on board can help organisations make better decisions based on their analysis of large data sets. Some of the problems they work on are prediction, recommendation, and classification. They use statistical methods, machine learning, and artificial intelligence to solve these problems and they can be found in various types of organisations.
Roles and Responsibilites of Data Scientists
- The primary role of a Data Scientist is to collect, clean analyse and visualise the data. Data scientists need to have a good understanding of the data structure. They need to be able to deal with different types of data, such as structured, unstructured, semi-structured, and streaming.
- Data Scientists has to prepare the data and train the models. In this step, they must know how to perform data cleaning, preprocessing, feature engineering, and data visualisation. They must also be good at developing algorithms for predictive modelling.
- Data Scientists should analyse the model performance. They must be able to test and evaluate the model, and they must also be able to explain the model.
- Data Scientists must provide technical support to the organisation. They must be familiar with the technologies used in the organisation. They must also be knowledgeable about the data warehouse and the business systems.
- They make recommendations. They must have the ability to predict the future. They need to be able to explain the decision-making process.
- They must be able to develop algorithms for predictive modeling. They must also be good at developing the models, testing and evaluating the model, and explaining the model.
- They must understand the business impact of the model. They should be able to explain the model to the stakeholders and communicate its results effectively.
- They must be familiar with the current trends in the industry. They must also be aware of the latest tools and techniques to solve the business problems.
- They must help the organisation improve its data quality. They should have an understanding of data cleaning, ETL processes, and data quality issues.
- Data Scientist has to perform analytics on the data. This involves the development of statistical models, and the creation of reports or dashboards.
- Data Scientist should improve the data quality. They will work with the business users to help ensure that the data is clean, and accurate.
- A data scientist should know about the different types of algorithms available for solving problems. He/she should be familiar with linear regression, logistic regression, decision trees, neural networks, support vector machines, k-nearest neighbors, random forests, and deep learning.
- A data scientist should have a strong understanding of SQL and programming languages. This will enable him/her to gather information from databases and write programs that manipulate data.
- A data scientist must be able to think critically and come up with innovative ideas. They should constantly challenge the status quo and try to find ways to improve existing processes.
- A data scientist should learn to take calculated risks. They should experiment with new approaches and techniques until they finds something that works.
If you are looking for a career as a data Scientist, you may want to consider taking an Artificial intelligence course in Chennai at FITA academy can give you the skills and knowledge you need to work as a data Scientist. Then you can go on and launch your career as a data Scientist in the IT sector. We offer you the best platform to achieve your career goals. In FITA academy you will get the best guidance and training in AI, Machine Learning, Data Science etc.
Machine Learning Engineer
A machine learning engineer (MLE) is responsible for developing and experimenting with AI-based solutions for business or organisations. They typically have a degree in computer science or engineering, but may also have experience in other fields such as data analysis or software development. MLE is a position that is growing in demand due to the increasing interest in artificial intelligence. The job offers many opportunities for advancement and career growth. After completing an artificial intelligence course in Chennai, machine learning engineers can start work on projects that require deep understanding of the machine learning algorithms used in AI applications.
A machine learning engineer is an expert in creating algorithms that can learn from data and make predictions based on past experiences. They design and implement systems that take raw data as input and produce output to solve real world problems. The main focus of this role is to build predictive models using supervised or unsupervised methods. Machine learning engineers need to be proficient with statistical analysis tools such as R, Python, SAS, SPSS etc. They also need to have basic knowledge of programming languages like Java, C++, MATLAB, C#.NET, JavaScript, PHP, Ruby, SQL, HTML5, CSS3 and other web technologies.
Roles and responsibilities of Machine Learning Engineer
Machine learning engineer jobs are available all over India. You can find a machine learning engineer job in almost every corner of India. But if you want to get a better salary package than others, you should consider getting trained by the finest trainers by enrolling in our Artificial Intelligence Course in Chennai. Here are some Roles and responsibilities of MLE:
- A primary role of Machine Learning Engineer is to create ML models for various use cases. These models should be able to predict future events based on historical data. Some of the major components of the model include feature engineering, feature selection, classification, regression, clustering, dimensionality reduction, anomaly detection, recommendation system, etc.
- Another important task of the Machine Learning Engineer is to train the model using different techniques. The training process involves collecting data, splitting the data into training set and testing set, transforming the data, preparing it for modeling, defining features, building the model, evaluating the performance of the model, selecting the best performing model, deploying the model, validating the model, tuning the parameters, and finally monitoring the model.
- The Machine Learning Engineers needs to work closely with Data Scientists and Business Analysts to understand their requirements and provide them solutions. They need to have good communication skills, analytical thinking, problem solving skills, ability to communicate effectively, and strong presentation skills.
- The Machine Learning Engineer will be required to develop and maintain automated processes and procedures to streamline the development cycle. This includes developing efficient tools and frameworks, automating repetitive tasks, integrating third party tools and services, and optimising existing code.
- The Machine Learning Engineer works closely with Product Managers, Designers, and Developers to ensure that they follow the latest trends, industry standards, and best practices while designing new products and applications.
- The Machine Learning Engineer must possess excellent problem-solving skills to identify issues within the product and determine how to resolve them.
- The Machine Learning Engineer has to work closely with business analysts to understand the customer requirement and develop a solution accordingly.
- The Machine Learning Engineer needs to have a solid understanding of software architecture and its implications on the overall application.
- The Machine Learning Engineer is expected to handle multiple projects at any given time. He/she may be involved in one project for several weeks and then move on to another project.
- In addition to these responsibilities, the Machine Learning Engineer is expected provide technical support to other team members.
Our AI course is designed by experts who have more than 10 years of experience in this field. We cover the entire syllabus which includes fundamental concepts, theoretical knowledge, practical implementations, real world examples, live projects, case studies, and much more. Our AI course is developed keeping in mind the current market scenario and the demand and supply gap between the employers and candidates. So we offer an opportunity to learn from the best trainers and gain expertise in the most trending technology.
A variety of industries, including IT are trying to automatize large portions of their operations to increase productivity. RPA can cut down on human involvement , and helps to save man-hours that is then used to perform more productive tasks. Automation Anywhere provides the most modern Digital Workforce Platform, making humans work through the automation of their business process.
Depending on the organization’s norms, the average salary may differ. Artificial Intelligence can be among your career options if you’re looking for something more broad in scope and futuristic. By imparting the students with the required skillsets under the guidance of industry experts, FITA Academy’s Artificial Intelligence Course in Chennai helps the students to land their careers in the AI domain successfully by providing them with the necessary professional skillsets. The AI trainers at FITA Academy will guide you during the training and will make sure you are upskilled with the skills that will make your career a success.
Also read Artificial Intelligence Interview Questions and Answers
Student Testimonials
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Artificial Intelligence Course in Chennai Frequently Asked Question (FAQ)
- Artificial Intelligence Course at FITA Academy is designed & conducted by Artificial Intelligence experts with 10+ experience in the Artificial Intelligence field
- The only institution in Chennai with the right blend of theory & practical sessions
- In-depth Course coverage for 60+ Hours
- More than 50,000+ students trust FITA Academy
- Affordable fees keeping students and IT working professionals in mind
- Course timings designed to suit working professionals and students
- Interview Tips
- Resume building support
- Real-time projects and case studies
- FITA Academy has placements tie-ups with more than 1500+ small, medium, and large scale companies, and these companies have job openings for Artificial Intelligence Developer, Artificial Intelligence Engineer and job roles related to it.
- FITA Academy has a Dedicated Placement Officer to support the students with Placement assistance.
- The Placement cell helps the students with various mock interviews and group discussions training session for them to face the interview with confidence.
- FITA Academy institution was set up in the year 2012 by a group of IT veterans to provide world-class IT Training. We have been actively present in the training field for close to a decade now.
- We have trained more than 50,000+ students till now and it includes the headcount of numerous working professionals as well.
- ch. The batch size has been optimized for individual attention and to clear the doubts of the students in complex topics clearly with tutors.
- FITA Academy provides the necessary practical training to students with many Industry case studies and real-time projects.
The various domains of Artificial Intelligence are,
- Machine Learning
- Deep Learning and Neural Networks
- Fuzzy logic
- Expert Systems
- Natural Language Processing
- Robotics
The components in the Expert Systems are
- Knowledge Base
- User Interface
- Inference Engine
The FOPL language consists of the following,
- The set of constant symbols
- The set of variables
- The set of function symbols
- The Universal Quantifier
- The Existential Quantifier
- The Logical Connective
- The Special binary relation
FITA Academy provides the Best Best Artificial Intelligence Training in Chennai with 100% Placement assistance with wonderful guidance from experts. Visit FITA Academy and enhance your career with best guidance. We have multiple branches in Chennai nearby your location.
- Artificial Intelligence Training in Velachery
- Artificial Intelligence Training in Tambaram
- Artificial Intelligence Training in Anna Nagar
- Artificial Intelligence Training in T Nagar
- Artificial Intelligence Training in OMR
- Artificial Intelligence Training in Porur
- Artificial Intelligence Training in Adyar
Additional Information
Artificial Intelligence is an actively growing subject in the world today. The Artificial Intelligence Course in Chennai at FITA Academy comprises the basics of the subject as well as representative applications of the subject such as Machine Learning, Deep Learning, Analytics, Artificial Neural Networks, etc., among others. The numerous applications and the huge possibilities of AI are always exciting and will help to expand human capabilities beyond our imagination.
There are numerous RPA Tools like BluePrism, Automation Anywhere, and Work Fusion. UiPath is leading the next generation in intelligent automation. UiPath offers a straightforward interface, but it has robust cognitive capabilities that function as an enormous advantage against others RPA automated tools. This course is designed for the students to get a grip on the fundamentals and also apply AI to build intelligent computing systems and models.
What Is Artificial Intelligence?
AI can be defined as the science of creating machines that work in a manner that humans do with the help of intelligent programs. This is accomplished by studying to find out as to how human brains think and act while trying to solve a problem. The outcome of this study is used as the basis to develop intelligent software and systems.
AI is based on many subjects such as computer science, biology, mathematics, linguistics, engineering, and psychology among others.
Where Is AI Applied?
AI is currently used in applications such as in programs of strategic games such as chess and poker. The machine here can think of any possible outcomes on the basis of heuristic knowledge. It is applied in natural language processing when a computer should understand naturally spoken language by humans. Experts systems that use applications integrating hardware, software, and other special information that will impart reasoning capabilities rely on AI. Vision systems using AI are able to understand, interpret visual input on a computer. Speech recognition systems use AI to listen to speech and comprehend their different meanings when spoken by humans. There are many more applications being developed that would use AI to make lives easy for human beings.
Reasons to learn Artificial Intelligence Course in Chennai at FITA Academy
In this course, we have designed it in such a way that you will be able to build AI applications as well as other AI related applications. Additionally, the course contains the following highlights:
- Throughout the course, concepts are explained in a manner that is easy to comprehend.
- During the AI Training in Chennai, students will work on real-life scenarios and projects.
- This course emphasizes practical application.
- We have certified trainers who are experts.
- In order to ensure that you can understand the course in the right way, our team of experts will provide you with the guidance and support you need.
- The key aspects of the subject are taught through lectures by specialists, discussions, and exercises that are relevant to the subject.
- We have expert AI instructors with years of experience building AI systems for multinational companies.
- The learning material that we provide at FITA Academy is copious and prolific.
- We offer cutting edge AI training modules.
- We offer industry-based projects suited for portfolio preparation of the students.
- As part of our career support, we also encourage students to seek employment.
Learning outcome of Artificial Intelligence Course in Chennai at FITA Academy
- A thorough understanding of the Machine learning implementation.
- Demonstrable knowledge on the framework such as TensorFlow, Operations, Functions, and Execution pipeline.
- Get acquainted with Artificial Neural Networks.
- A clear understanding of Supervised and Unsupervised learning.
- Understand how the Neural networks are used to analyze and use that data.
- Become familiar with the Applications of Deep learning in the NLP and Image recognition.
- In-depth knowledge of the practical and theoretical aspects of the Machine Learning.
- Understand implementing AI techniques for problem-solving and handling its limitations.
Eligibility Criteria and Prerequisites to learn Artificial Intelligence Course in Chennai
Eligibility Criteria: Any fresher graduate who wishes to start their career in the Artificial Intelligence field can choose this program as their first step. However, this Artificial Intelligence Course in Chennai at FITA Academy is more appropriate for even professionals like Data Scientists, Analytics professionals, Search Engineer professionals, E-commerce professionals, and Software Developers who wish to switch careers to AI.
Prerequisites: To learn Artificial Intelligence Course, you do not need to have any prerequisites. But having prior knowledge of any programming language will, however, enable you to learn the course quickly. Our Artificial Intelligence Training Program in Chennai at FITA Academy provides a comprehensive understanding of Artificial Intelligence concepts under the supervision of real-time professionals with certification.
Benefits of implementing AI in Businesses
Well, on implementing the Artificial Intelligence techniques the computer programs were able to think and learn independently. And this resulted in some of the significant outcomes in the businesses. Now, let us see the major benefits that the businesses were able to see on implementing AI techniques.
If you are looking to implement artificial intelligence into any business, then you need to first complete the AI Classes in Chennai. Our courses provide a comprehensive understanding of AI and how it can help improve your business. By completing our courses, you will be able to create better decisions and processes, which will lead to success. Here are some of the benefits of implementing AI in Businesses.
Reduced Errors in Processes
It is a very well known thing that humans tend to make mistakes. It is due to their tiredness or negligence. But, on implementing the AI techniques the businesses were able to reduce the errors and also the chances of committing the errors significantly. It is because the bots or the computers are pre-designed or loaded with numerous algorithms and data.
With the AI techniques, the machines were able to take accurate decisions with the previously collected pieces of information and data. Also, businesses can not deny the fact that upon implementing the Artificial Intelligence techniques they were able to produce results with accuracy at ease and also reach a great degree of precision.
Digital Assistance
In some of the highly advanced organizations they use Digital assistance to interact with their customers. Mostly you can find this Digital Assistance on the Websites. For example, the Chatbots which answers all the queries that you put forth on their sites. Even in some of the Toll-free numbers the Voice bots that answers to all our queries are made possible only because of Artificial Intelligence techniques.
This Digital Assistance not only supported the customers but the businesses as well. When a query is raised by the customer the machines are prompted to answer it then and there. And now these queries are stored in the database as well. Now, when the employee steps in he could start the work from where it was left. This in a way increased the productivity of the organizations tremendously.
Daily Applications
In the present generation, Smart Phones have managed to enter into one of the basic necessities along with dress, food, shelter, and water. Most of the smartphone users are unaware that they are using AI techniques without even knowing it. For example, Google Maps for directions, Siri in iPhone, Alexa, Cortana in Windows all these are possible only because of the implementation of Artificial Intelligence. But, for businesses AI functions completely at a higher level such as setting up fraud detection devices in the banking and financial sector. Punch ins and Punch outs in the IT premises with face recognition or handprints are possible only because of AI techniques.
Availability 24/7
One of the major benefits of using a machine to perform a task is that it can function all around the clock. It is because unlike humans the machines don’t require recess or refreshments. It can be programmed flexibly for longer hours with any interventions or distractions. Also, upon implementing the Artificial Intelligence techniques the machines can increase the productivity level significantly and complete their assigned projects or tasks on time.
Rapid Decisions
When it comes to decision making the machines can make much faster decisions than us. It is because the machines can rapidly analyze the huge data that were collected previously. Moreover, while taking decisions humans at some point in time may exhibit the element of emotional attachments but the machines can make much more practical decisions than us. And also it is capable of producing the desired results as well. For instance, Online Chess Game, it is almost tedious to defeat the machine in it because the AI techniques are implemented so well that it is very difficult for us to defeat it.
Aids in Repetitive jobs
Generally, any organization would have a mammoth of repetitive tasks in their day-to-day functions. These tasks include verification of documents, sending greetings to the employees on their birthdays or special events, or sending a thank you mail to the customers and clients, handling of errors, and recording of new details. These tasks are not only time consuming but at some times the employees get to feel mundane to perform it. This could be easily tackled when organizations implement Artificial Intelligence techniques. Almost all the mundane tasks can be automated at ease with the implementation of the AI techniques and also it can get it done with complete accuracy and robustness when compared to humans.
With the Artificial Intelligence Course 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.
Functioning of Artificial Intelligence
Generally, AI functions by merging huge amounts of data with intelligent algorithms and iterative processing that permits the software to understand the features or patterns in data automatically. It is a wide field of study that consists of methods, theories, and technologies in the subfields that are mentioned below:
Machine Learning: It allows you to automate analytical model building. It utilizes the methods right from statistics, physics, operations research, and neural networks for finding out the hidden insights of data without being programmed explicitly.
Deep Learning: It uses huge Neural Networks with different layers of processing units and taking the benefit of advances in computing power and enhanced training techniques for understanding speech and image recognition.
Neural network: It is the kind of Machine Learning that is developed using interconnected units which channel the information by reciprocating to all the external inputs and relays to the information that is provided between all the units. Usually, the process needs different passes and the data to identify the connections for deriving meaning right from the undefined data.
Other technologies that are supported by AI are
IoT: It helps in generating a huge amount of data right from the connected devices, and most of them are unanalyzed. You can automate all these models with AI permits you to use them or modify them.
Graphical Processing Units: It is the key for AI as they offer heavy compute and power that is needed for iterative processing. It is the training that is needed for neural networks, and it needs big data and additional computing power.
Applications Programming Interfaces or API: It is a portable set of code that permits you to add AI functionality for software packages and products that exists presently. It can add more image recognition abilities for home security Q&A abilities and systems that mention data, headlines, and create captions for creating interesting patterns for insight into the data.
Advanced Algorithms: It is developed and mixed in numerous ways for analyzing the data faster at different levels. It is an intelligent processing key for anticipating unique events, complex systems, and unexpected scenarios.
On the whole, AI aims to offer software that can understand the input properly and give the required output. The AI is capable of giving human-like interactions along with software for providing support for certain tasks. The Artificial Intelligence Course in Chennai at FITA Academy helps the students to become familiar with AI concepts, techniques, and thus supports them with required placement guidance.
Future Of AI In India
According to recent statistics, India is the third country after the USA and China that is implementing AI-based systems at a fast pace. A number of private organizations, government departments, including the defence department and start-ups have ventured into building AI systems for a variety of purposes including mining, roadways, infrastructure and defence, IT, telecommunications, etc., among others.
Are you thinking of going for an artificial intelligence interview?
If so, it can be a bit intimidating. There are many steps to follow and tips you can use to make sure you ace the interview. The following are just a few of them. But the first one should be the most important. The final tip is to keep in mind that preparing for an AI interview is a whole lot easier than you think.
- As you can see, there are a lot of ways to prepare for an artificial intelligence interview. There are a few basic steps you can take to ensure you get the job. Firstly, you need to practice, and you should make sure you can answer all the questions correctly. The best way to do this is to research the topic thoroughly and practice a lot from an Artificial Intelligence Course in Chennai. Once you have the knowledge and skill to tackle the question, you should start applying for the job.
- Second, prepare yourself for the questions. You can practice on the mirror before the interview. The purpose of practising your AI skills before the interview is to learn the language. You need to be able to speak English well, as it is the language of the job. And finally, practice speaking confidently. The AI interviews will be recorded, and your resume will not be visible. If you have real-life experience or knowledge of artificial intelligence, it will help you get a job.
- Next, professionally prepare your answers. Try to avoid displaying nervousness or panic. When you do have to answer questions about your background, try to be confident and polite. If you can’t speak English, you can make an effort to improve your grammar. When you have learned to use the right vocabulary, you will have a better landing the job. You can also practice your speaking skills on a computer.
- The first tip for preparing for an artificial intelligence interview is to keep calm. It would help if you were confident and relaxed. Maintain a confident tone throughout the interview. Moreover, you should be aware of the different questions that might be asked. Aside from this, it would be best if you tried to understand how to apply the questions asked. To impress the AI interviewer, you should be able to show your knowledge about the topic.
- It would be best to prepare from AI Training in Chennai for an artificial intelligence interview by learning about the company’s culture and its employees. It is important to be comfortable with the company’s culture and work ethic. When you are hired, you should be comfortable and confident. If you are not comfortable with your work environment, be sure you are comfortable with your environment. If you have to interact with people from other countries, you can prepare for an interview by talking to them.
- Your goal is to make the interviewer as comfortable as possible. It would help if you were confident in your skills and expertise. Your employer will want to know that you have the right expertise and experience. You should have the right skills and work experience to impress the hiring manager. It would help if you also were well prepared to answer questions about the job. Your answers should be direct and precise. Moreover, you should be honest and have the right attitude.
Top 10 tips to prepare for an artificial intelligence interview?
Artificial intelligence has become the most important subject for many technology companies. The main reason is that it’s used across all industries, from finance to healthcare to law enforcement.
To be acknowledged as an expert in this field, you need to pass a challenging interview with your potential employer by showing extensive knowledge of AI programming frameworks and algorithms. Also, if you have worked on more than 2 projects previously, you should mention them during the interview process to prove your achievements with facts and figures. We suggest reading Hackernoon’s post on how to talk about work history during an interview. And remember, no straight answers such as “I love my job” or “I’m a hard worker” will work here – we would expect a proper response for this type of question.
Another piece of advice is to find an expert in the field from the Artificial Intelligence Course in Chennai who can explain some aspects of your work. If you cannot get hold of an expert, there are plenty of tutorials available online that should help you gain enough experience before attending the interview. Here are other key points that will help you prepare for an AI job interview :
- Define problems and design solutions that use AI.
- Understand cutting edge AI algorithms and concepts: NLP (natural language processing), computer vision, neural networks and deep learning.
- Be prepared to answer how you would approach a new AI project without any guidance or resources and how you would gather information on what industry needs from such a product.
- Know which data structures can be used to store what kind of information (text, numbers, images, video).
- Understand the complexity and scalability issues associated with AI solutions for businesses.
- Develop an efficient data collection method that provides all necessary information for your application without interrupting the user experience. You will need to consider searchability, data mapping, storage optimization/abstraction and retrieval methods.
- Dispel the myth that AI can do everything better than humans. And remember: forget how many years you’ve spent in education – what really matters is how well you perform during the interview process.
- Work on a set of tasks with a 5‑7‑5 rule: define the problem, produce an algorithm to solve a particular business case, run it on a test dataset and improve the original solution if necessary.
artificial intelligence is an ever-changing field that is constantly evolving, so it’s important to keep up with the latest trends and techniques. One of the best ways to stay ahead of the curve is to attend an artificial intelligence course in Chennai at FITA academy. With a recent influx of AI experts in the city, learning about this rapidly changing field is essential for any individual looking to take the next step in their career.
Is Artificial Intelligence a business intelligence tool?
Artificial Intelligence (AI), most commonly known as machine learning, is defined as the ability of a computer program to learn from data and make prognoses or decisions without being programmed explicitly by a human. Artificial intelligence has been around for nearly 60 years now, with its roots in ideas articulated by John McCarthy, who coined the term “artificial intelligence” in 1956. Today, artificial intelligence applications can be found everywhere – self-driving cars, virtual assistants like Siri or Cortana, advanced robotics, etc.
However, AI’s development is still at its early stage, and it is quite promising that it might evolve into an intelligent business tool capable of making operational decisions. If you are like me, wondering why use AI if Business Intelligence (BI) tools already exist, read on.
First of all, BI is a tool used for business data analysis that provides visualizations and business metrics. On the other hand, AI is an artificial construct that can learn from past experiences to make future decisions based on data it gathers so-called machine learning capabilities. Let me give you an example of how Artificial Intelligence could be utilized in various industries – take online marketing, for instance. The process of running a PPC or SEO campaign requires lots of effort and setup or tweaking processes to get better results over time. AI courses in Chennai with AI-powered tools, marketers will automate their tasks by implementing predictive algorithms allowing them to get faster results with less human intervention required making maintenance easier while increasing efficiency at the same time. However, unlike BI tools which are more of reporting tools, AI is more for decision-making.
How AI will impact the world in 5 years?
AI is the new buzzword in technology today. Everyone wants to know about it, how it works, and what can they do to prepare for its future impacts. Five years ago, nobody talked about AI so much, so everyone thought it would take long before computers become smart enough to replace humans. However, this wait may be over. Many AI experts are saying that computers will match human intelligence by the coming years or even earlier than that.
AI is a computer system that allows data usage to “think” as humans think and act like them. Although many people might say that current AI systems are just glorified calculators, there is more to these systems than meets the eye. In fact, these systems have been trained through Machine Learning to do more than just calculations by an Artificial Intelligence Course in Chennai. For example, AI can now play chess better than a human and is learning how to drive cars and beat us in video games.
The most important thing about AI right now is that they are not independent systems. They need humans for different purposes, such as getting data sets, interpreting big data sets and even proper interfaces through which people interact with these machines. However, experts predict that this might change very soon as companies like Google and Apple already have plans to make their own operating systems that work like apps used by humans but use AI to interface with people instead of human touch screens or keyboards.
Experts also say that we will see the end of traditional programming models where machine code must be written and compiled into executable binaries. In the future, programming will be done by showing input examples to AI systems which then learn from these examples and create their programs based on what they have learned.
The future impacts of AI are anyone’s guess at this point as it is still evolving, but most experts agree that there will be two major aspects of impact – economic and social. Microsoft CEO Satya Nadella predicts that soon human labour will be replaced by machines in all industries across the world, which might result in a loss of jobs for many people. With jobless humans out on the streets, governments may no longer collect taxes and provide basic amenities for everyone resulting in chaos everywhere. However, suppose AI can produce goods more efficiently than human beings. In that case, it might bring down the cost of goods, resulting in people having more money to spend on needs rather than luxuries, therefore bringing an end to poverty.
On the social front, experts predict that governments could use AI systems to control all human activities through surveillance, which has fuelled fears among many people who are not convinced about proper controls for AI systems. Governments may also try to use these machines for military purposes. Still, there is very little information about this because AI developers don’t want military use of AI systems publicized at this point. On the other hand, many governments have already announced that they are doing research into creating their own artificial general intelligence, which can learn everything that humans do so that they can replace them with low high-skill human jobs.
In conclusion, it is true that AI is still evolving, and we have a long way to go until these machines match the intelligence level of humans. Still, everyone agrees that this will happen soon by taking up AI Training in Chennai, you can become an AI expert. We may even see the first general artificial intelligence as early as next year if research by Google succeeds. Everyone needs to prepare for changes in our lifestyles because one day, it may be difficult for us to tell whether a person is a real human being or an intelligent machine built by someone else using AI technology. The future cannot be predicted with certainty, but planning for disruptions caused by AI systems should be a priority now before it’s too late.
With a view to making aspiring students proficient in AI, we have launched the Best Artificial Intelligence Training in Chennai at FITA Academy. For more information, please visit any of our branches or call @ 93450 45466!
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