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Course Highlights and Why Artificial Intelligence Course in Chennai at FITA Academy?
Our course modules are expertly designed to meet the needs of the global industry. This curated courseware will give you a comprehensive understanding of Artificial Intelligence and the many ways it can be applied using the guidance of industry experts. You will be equipped with an extensive knowledge of Artificial Neural Networks, Deep Learning and TensorFlow. Our courses are provided at an affordable cost, so you need not worry about the fees. The FITA Academy offers a wide range of options as far as batch timings are concerned, including weekend, weekday, and fast-track Artificial Intelligence Courses in Chennai. Upon completing our training program, we provide 100% placement assistance for the next step of your career. There is an active placement cell at FITA Academy that assists the students in securing their dream jobs and achieving their goals. Upcoming Batches
- 25-04-2024
- Weekdays
- Thursday (Monday - Friday)
- 27-04-2024
- Weekend
- Saturday (Saturday - Sunday)
- 29-04-2024
- Weekdays
- Monday (Monday - Friday)
- 04-05-2024
- Weekend
- Saturday (Saturday - Sunday)
Classroom Training
- Get trained by Industry Experts via Classroom Training at any of the FITA Academy branches near you
- Why Wait? Jump Start your Career by taking Artificial Intelligence Course in Chennai!
Instructor-Led Live Online Training
- Take-up Instructor-led Live Online Training. Get the Recorded Videos of each session.
- Travelling is a Constraint? Jump Start your Career by taking the Artificial Intelligence Online Course!
Artificial Intelligence Course Objectives
- Learn about the core concepts of data science and artificial intelligence, including their roles and applications in various industries.
- Learn the basics of Python programming, its history, the differences between the different versions of Python, and how to set up a Python development environment.
- Explore techniques for handling and processing data in Python, including data extraction, management, and statistical analysis.
- Obtaining knowledge in performing exploratory data analysis using libraries like Numpy, Scipy, and Pandas to uncover insights from data.
- Understand the basics of machine learning, from selecting the suitable model to training, evaluation, and model performance improvement.
- Learn about supervised learning, covering classification techniques such as logistic regression, naive Bayes, k-nearest neighbours, support vector machines, decision trees, boosted trees, and random forests.
- Learn about unsupervised learning and its methods, including clustering with K-means and, hierarchical clustering and dimensionality reduction techniques like PCA and LDA.
- Learn about hypothesis testing in machine learning, including normalisation, null and alternative hypotheses, and statistical tests like T-test and ANOVA.
- Learn about reinforcement learning, understanding its components, and exploring the exploration vs. exploitation trade-off.
- Learn deep learning using TensorFlow, covering neural network architecture, forward and backpropagation, popular deep learning models, and hands-on projects, such as Chatbot creation, Facial Recognition systems, etc.
Artificial Intelligence Course Syllabus
Using Python for Machine Learning - Introduction to Data Science
- 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
Introduction to Python
- 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
List, Ranges & Tuples in Python
- Understanding Lists in Python
- Understanding Iterators
- Generators, Comprehensions and Lambda Expressions
- Understanding and using Ranges
Python Dictionaries and Sets
- Introduction to the section
- Python Dictionaries and More on Dictionaries
- Sets and Python Sets Examples
Input and Output in Python
- Reading and writing text files
- Appending to Files
- Writing Binary Files Manually and using Pickle Module
Python functions
- Python user defined functions
- Python packages functions
- The anonymous Functions
- Loops and statement in Python
- Python Modules & Packages
Python Exceptions Handling
- 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
Python Regular Expressions
- What are regular expressions?
- The match Function and the Search Function
- Matching vs Searching
- Search and Replace
- Extended Regular Expressions and Wildcard
Useful additions
- Collections – named tuples, default dicts
- Debugging and breakpoints, Using IDEs
Data Manipulation using Python
- 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
Understanding Machine Learning Models
- 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
More on Models
- 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 Machine Learning Algorithms
- Understanding the Machine Learning Algorithms
- Importance of Algorithms in Machine Learning
- Exploring different types of Machine Learning Algorithms
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
Exploring Supervised Learning Algorithms
- 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
Exploring Un-Supervised Learning Algorithms
- 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)
Understanding Hypothesis Testing
- 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
Overview Reinforcement Learning Algorithm
- Understanding Reinforcement Learning Algorithm
- Advantages of Reinforcement Learning Algorithm
- Components of Reinforcement Learning Algorithm
- Exploration Vs Exploitation tradeoff
Hands on Projects
Implementing Deep Learning Using TensorFlow
Introduction to Deep Learning
- 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
Setting Up Deep Learning Environment
- Installing Tensorflow
- Installing Keras
- Understanding Deep Learning Environment in Cloud Platform with AWS
- Executing Tensorflow Code
- Executing Tensorflow in AWS
Exploring Tensorflow
- 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
Building Neural Network
- 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 Convolutional Neural Networks (CNN)
- 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 Recurrent Neural Networks (RNN)
- 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 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
Artificial Intelligence Course Trainer Profile
- FITA Academy’s trainers provide students with an exquisite blend of theoretical and practical knowledge of Artificial Intelligence concepts.
- Trainers for the AI Courses in Chennai are certified professionals with vast experience in various designations in Artificial Intelligence such as Data Scientists, Machine Learning Analyst, Deep Learning Engineer, etc.
- Trainers conduct regular recap and doubt-clearing sessions to ensure you get a full grasp of the concepts taught.
- Trainers help you with resume building and updating, which will be helpful for job searches.
- With valuable insights into interview questions and mock interviews, our Artificial Intelligence Trainers assist students in building professional resumes and building their confidence.
Learn at FITA Academy & Get Your
Dream IT Job in 60 Days
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Student Success Story of Artificial Intelligence Course in Chennai
Arun Kumar is a BE Computer Science student. After completing college, he worked in a BPO for a few months. Owing to a lack of career growth and mounting family commitments, he decided to pursue an additional course to enhance his skillset, and grow his career. His friend suggested FITA Academy, having been an alumni of FITA Academy herself.
When he enquired our coordinators about the courses available, he was suggested the Artificial Intelligence Course in Chennai, owing to his knowledge of coding and mathematics. Having enrolled in the course, he was gradually able to gain knowledge of the various concepts of Artificial Intelligence. He completed the Capstone Projects and obtained a certification upon completion.
Arun Kumar attended our placement training session and got a good grasp of what it would be like to attend an interview for a job role in the field of AI. He regularly attended interviews and, in a few months, got placed in Team Everest and In22labs. He selected Team Everest and is working as an AI Engineer with a package of 5 LPA.
Features of Artificial Intelligence Course in Chennai at FITA Academy
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.
Why Learn Artificial Intelligence Course in Chennai at FITA Academy?
Live Capstone Projects
Real time Industry Experts as Trainers
Placement Support till you get your Dream Job offer!
Free Interview Clearing Workshops
Free Resume Preparation & Aptitude Workshops
Artificial Intelligence Certification Course in Chennai
You will be getting a certificate of completion upon completion of the AI Courses in Chennai. A certification in Artificial Intelligence indicates that you have gained a thorough understanding of the concepts behind Artificial Intelligence, as well as how AI can be applied to our daily lives. With real-time project experience, this certification identifies you as an Artificial Intelligence expert who has acquired the necessary skills. With this certificate along with your resume, you can make your profile stand out when you go for an interview at the time, and it can also open several doorways for you to explore potential career opportunities.
In addition to the certificate provided by FITA Academy, there are several other globally recognised certifications. Some of them are as follows.
IBM
- IBM AI Engineering Professional Certification
- IBM Applied AI Professional Certificate
IBM AI Engineering Professional Certification
The IBM AI Engineering Professional Certification is a testament to your advanced proficiency in Machine Learning (ML) and Deep Learning (DL) domains. This certification validates your comprehensive understanding of key concepts such as regression, classification, clustering, and recommender systems. Furthermore, it attests to your ability to leverage Apache Spark for scaling ML on extensive Big Data sets. Holding this certification signifies a mastery of cutting-edge AI technologies, providing evidence of your competence in developing and implementing robust ML and DL solutions. This expertise is invaluable in today’s tech landscape, where data-driven decision-making and AI applications are pivotal in shaping industry trends and innovations. The Artificial Intelligence Course in Chennai offered by FITA Academy helps students prepare for the IMB AI Engineering Professional Certification and clear it.
IBM Applied AI Professional Certificate
By obtaining the IBM Applied AI Professional Certification, you acquire the skills to design, construct, and deploy AI-powered applications, including the creation of AI-driven chatbots. Remarkably, this certification is tailored for individuals without prior programming expertise, making it accessible to a broad audience. The program not only equips you with practical knowledge but also imparts insights into utilizing IBM Watson AI services and APIs effectively. Overall, achieving this certification demonstrates your ability to harness AI technology for practical applications and showcases your proficiency in leveraging IBM’s advanced AI tools and services. That said, FITA Academy helps students prepare for the IBM Applied AI Professional Certificate through the AI Courses in Chennai.
Microsoft
- Azure AI Fundamentals
- Azure AI Engineer Associate
Azure AI Fundamentals
The Microsoft Azure AI Fundamentals Certification is proof of your foundational expertise in Artificial Intelligence (AI). Administered by Microsoft, this certification consists of an exam comprising 40-60 questions. During the 60-minute duration of the exam, you must achieve a score of 70% or above to successfully obtain the certification. This credential validates essential skills in AI, showcasing your proficiency in fundamental concepts and applications. Attaining the Azure AI Fundamentals Certification not only signifies a grasp of key AI principles but also demonstrates your ability to navigate Microsoft’s Azure platform for AI solutions, positioning you as a capable professional in the evolving field of artificial intelligence. Azure AI Fundamentals is a popular certification and FITA Academy helps students train for the certification through the Artificial Intelligence Course in Chennai.
Azure AI Engineer Associate
The Azure AI Engineer Associate certification emphasizes key tasks such as deploying solutions, integrating AI models into productive environments, and assessing solution requirements. Similar to the Azure AI Fundamentals, the certification exam comprises 40-60 questions, maintaining a 60-minute duration. To obtain certification, candidates must secure a minimum score of 70%. Successfully achieving the Azure AI Engineer Associate Certification validates not only your broader understanding of AI but also your technical prowess in executing and optimizing AI solutions, reinforcing your role as a proficient AI professional in the dynamic technological landscape.
International Association of Business Analytics Certification (IABAC)
- Artificial Intelligence Foundation (AIF)
- Certified Machine Learning Associate (CMLA)
- Certified Artificial Intelligence Expert (CAIE)
- Certified Deep Learning Expert (CDLE )
- Certified Natural Language Processing Expert (CNLPE)
- Artificial Intelligence Certified Executive (AICE )
- Certified Computer Vision Expert (CCVE )
IABAC Artificial Intelligence Foundation
The IABAC AI Foundation certification helps individuals who are looking for a career in artificial intelligence. By covering essential concepts and approaches, it equips learners with the necessary knowledge to navigate the intricacies of AI. This foundational certification not only imparts theoretical understanding but also lays the groundwork for practical applications, ensuring that individuals are well-prepared to contribute effectively in the field of artificial intelligence. It is an indispensable credential for those seeking a solid entry point into the world of AI.
IABAC Certified Machine Learning Associate
The Certified Machine Learning Associate certification serves as proof to the candidate’s knowledge in the basics of Machine Learning. This certification holds immense value for individuals at various levels, catering to both beginners and experienced professionals seeking to solidify their position in the dynamic field of Data Science. Through comprehensive coverage of essential Machine Learning concepts, candidates gain a strong foundation in algorithms, model evaluation, and data preprocessing. This certification not only validates proficiency in fundamental Machine Learning principles but also serves as a gateway for individuals aiming to embark on or advance in their careers within the broader domain of data-driven decision-making and predictive analytics. It acts as a valuable credential, attesting to the individual’s capability to navigate and contribute to the ever-evolving landscape of Machine Learning.
IABAC Certified Artificial Intelligence Expert
The Certified Artificial Intelligence Expert acknowledges the specialised skills and knowledge required to excel in Artificial Intelligence. You will have a deep and extensive knowledge of Artificial Intelligence, advanced algorithms and Machine Learning techniques.
IABAC Certified Deep Learning Expert
The Certified Deep Learning Expert demonstrates a thorough understanding of deep learning ideas, approaches, and tools. You will master the fundamentals of deep learning, from neural networks and convolutional networks to recurrent neural networks and generative adversarial networks, and gain hands-on experience developing and training models.
IABAC Certified Natural Language Processing Expert
The Certified Natural Language Processing Expert certification demonstrates your proficiency in NLP techniques, algorithms, and applications. You will be well versed in topics such as text classification, named entity recognition, sentiment analysis, and language generation.
IABAC Certified Artificial Intelligence Executive
The Certified Artificial Intelligence Executive Certification is intended for ambitious AI leaders looking to make a substantial influence in the field. This thorough program provides participants with the knowledge and skills needed to navigate the complicated AI landscape and establish effective AI strategies for their businesses.
IABAC Certified Computer Vision Expert
The Certified Computer Vision Expert certification demonstrates expertise of candidates in the field of computer vision.
The AI Courses in Chennai offered by FITA Academy helps you prepare for the certifications mentioned above and enhance your career growth.
Have Queries? Talk to our Career Counselor for more Guidance on picking the
right Career for you!
Placement Session & 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
- AI Engineer
- Data Architect
- Data Scientist
- Machine Learning Engineer
- Robotics Engineer
- Natural Language Processing Engineer
- Computer Vision Engineer
“100% placement assistance and training is provided after the completion of the course.”
Some of the top reputed companies that hire Artificial Intelligence professionals include 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, TCS etc.
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.
FITA Academy’s reputation as providing the Best Artificial Intelligence Course in Chennai has enabled its students to easily get jobs with high packages in the above-mentioned top companies. So if you too want to be one of them, join FITA Academy immediately.
AI Engineer
Artificial intelligence (AI) engineers use various techniques in Artificial Intelligence and Machine Learning intending to develop applications and systems that are helpful for organisations in various aspects, such as cost-cutting, increasing efficiency, etc. AI Engineers are vital in any organisation where AI plays a crucial role in its day-to-day activities. AI Engineers help organisations make business decisions through insights drawn using AI and ML algorithms. With that being said, FITA Academy’s AI Courses in Chennai can be very beneficial if you are aspiring to become an AI engineer.
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 comprehensive understanding of databases and data structures and is also familiar with the use of RDBMS and NoSQL databases.
A data architect is a key position within any organisation. With the ever-growing demand for data, an individual must have experience designing and managing data architectures. To become a data architect, one must complete an AI Courses in Chennaito learn how to design and build data architectures.
Data Scientist
Data Scientists work with large amounts of data and use advanced analytics techniques to produce new solutions that can benefit 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 organisations.
If you are looking for a career as a Data Scientist, enrolling in the AI Training in Chennai at FITA Academy is your safest bet. You will be equipped with the right skills and knowledge you need to work as a data Scientist. In FITA Academy, you will get the best guidance and training in Artificial Intelligence, Machine Learning, Data Science, etc.
Machine Learning Engineer
A machine learning engineer (MLE) is responsible for developing and experimenting with ML-based solutions for businesses 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 and Machine Learning. The job offers many opportunities for advancement and career growth. After completing the AI Classes in Chennai, machine learning engineers can start work on projects that require a deep understanding of the machine learning algorithms used in AI applications.
Robotics Engineer
Robotics engineers possess expertise in designing, developing, and maintaining robotic systems. These engineers primarily operate in industries such as manufacturing, healthcare, and aerospace. The primary objective of Robotic Engineers is to conceptualise and construct robots capable of executing tasks that are either unsafe, monotonous, or exceptionally challenging for humans to perform.
Artificial Intelligence plays a significant role in Robotics. Through techniques such as Machine Learning and Edge Computing, Robotics Engineers enable the robots they construct to observe and mimic human behaviour, along with interpreting massive amounts of data in real-time. This enables them to increase their speed and efficiency of operation.
Natural Language Processing Engineer
The pivotal role of Natural Language Processing (NLP) engineers revolves around the creation of devices and systems capable of comprehending human languages. NLP Engineers are instrumental in developing and designing language understanding systems, with responsibilities spanning the analysis of speech patterns, AI speech recognition, natural language comprehension, and the generation of coherent natural language. In addition, these professionals actively participate in crafting scripts focused on the analysis and processing of textual data. Their emphasis lies in ensuring accuracy in understanding language nuances. NLP Engineers play a critical role in advancing communication between humans and machines, contributing to applications such as chatbots, virtual assistants, and language translation systems. Their expertise is indispensable in refining the capabilities of AI to understand, interpret, and respond effectively to the complexities inherent in human language, shaping the future of interactive technology.
This job demands a robust grasp of statistical methods and proficiency in machine learning frameworks. In addition to these competencies, NLP Engineers must possess programming skills, particularly in Python, Java, or R. With that being said, FITA Academy has constantly strived to provide the Best Artificial Intelligence Training In Chennai, constantly making its students well-equipped for various jobs in the AI industry, including NLP Engineer.
Computer Vision Engineer
The main role of Computer Vision Engineers is processing visual data using mathematical algorithms and machine learning techniques. They work with a variety of visual information sources, including video feeds, digital signals, and analog images that are digitized by computer systems.
The primary objective of Computer Vision Engineers is to enable computers to literally “see” and interpret visual data. They achieve this through the development and application of complex algorithms and models to extract meaningful information from images and videos provided as input. Computer Vision Engineers play a crucial role in various applications, from autonomous vehicles and facial recognition systems to medical image analysis and augmented reality.
Student's Success Story
Ashok Rao
Artificial Intelligence Course in Chennai at FITA Academy was very good. My Trainer was a Real-time professional who trained us with many Real-time examples. My AI Trainer provided in-depth training of the Artificial Neural concepts and Deep Neural Networks. Also, he was very friendly to approach and I was able to clarify all my doubts at ease. Thanks to my Artificial Intelligence Trainer.
Varshita Gandhi
Overall experience at FITA Academy's Artificial Intelligence Training was excellent. I liked their quality of training and the training methodologies. I am a software developer by profession. I wanted to learn Artificial Intelligence to upgrade my career opportunities. Though I couldn't take a regular class unlike others due to my job, the FITA Academy support team was very co-operative in co-ordinating the classes for me and they made sure I didn't miss any of the scheduled class. Good work FITA Academy!
Vipul Kumar
I enrolled in Artificial Intelligence Training in Chennai at FITA Academy. I had a good learning experience at FITA Academy! A very interesting curriculum with interactive classrooms made my learning sessions lively and easier. I am happy that I chose FITA Academy for the Artificial Intelligence Course. Thank you FITA Academy!
Mohammed Ibrahim
Artificial Intelligence Course in Chennai at FITA Academy is the best training path of my life! My Trainer was really a tech giant. I can almost ask him about anything and everything about tech. A very qualified trainer and also his training was very nice that he made me learn a lot of new things about AI, ML and much more. Thanks to my trainer. Excellent work FITA Academy! I will suggest this platform to my friends and colleagues.
Our Students Work at
Frequently Asked Question (FAQ) about Artificial Intelligence Course in Chennai
- The Artificial Intelligence Course at FITA Academy is designed & conducted by Artificial Intelligence experts with 10+ years of experience in the Artificial Intelligence field.
- An ideal combination of theoretical and practical knowledge is imparted to provide a holistic learning experience.
- Affordable fee structure keeping IT working professionals and students into consideration.
- Course timings are flexible and designed to suit working professionals and students.
- Mock interviews and Interview Tips are provided to students.
- Placement assistance is provided at the end of the course.
- 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 Developers, Artificial Intelligence Engineers 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, discussion of Artificial Intelligence Interview Questions and Answers and group discussion training sessions for them to face the interview with confidence.
How old is FITA Academy institute, and how many students have been trained by FITA Academy till now?
- FITA Academy institution was set up in 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 75,000+ students till now, including the headcount of numerous working professionals.
- The batch size of each class at FITA Academy is around 5-6. It has been optimised 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.
- Artificial Intelligence Training in Velachery
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General Q & A about Artificial Intelligence Course in Chennai
Which institute is best for Artificial Intelligence in Chennai?
What is the fees of Artificial Intelligence in Chennai?
What is the duration of AI course?
What is the salary of AI engineer in Chennai?
What is the salary of AI developer in Chennai?
Does AI require coding?
Yes. AI does require considerable knowledge of coding. Professionals in the field of AI are typically equipped with the knowledge of programming languages such as Python, R, Java, etc.
Does AI have a future?
Which country pays highest salary for AI engineer?
Does AI need maths?
Yes. Three concepts in maths are prominently used in AI. They are
- Linear Algebra
- Calculus
- Probability
What is the salary of fresher in Artificial Intelligence in India?
The AI Engineer Salary For Freshers is around 8 LPA. With experience, they can earn around 12 LPA.
What is the salary of AI engineer after 5 years?
How much does Google pay for AI engineer?
Can a fresher learn AI?
Can I learn AI in 3 months?
What is the salary of AI engineer in Apple?
Which subject is for AI?
Some of the subjects commonly covered in Artificial Intelligence include
- Python Fundamentals
- Machine Learning
- Hypothesis Testing
- Statistics
- Tensorflow
- Natural Language Processing
- Reinforcement Learning
What skills are needed to be an AI engineer?
- Programming Languages
- Data Engineering
- Exploratory Data Analysis
- Machine Learning Algorithms
- Deep Learning
- Natural Language Processing
- Computer Vision
Which language is mainly used for artificial intelligence?
Can artificial intelligence engineers work from home?
Is Java used for AI?
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