Courses / Artificial Intelligence Course in Chennai
Artificial Intelligence Course in Chennai
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Course Highlights and Why Artificial Intelligence Course in Chennai at FITA Academy?
Our course modules are designed by experts to meet the needs of the global industry. You will come out with extensive knowledge concerning artificial neural networks and deep learning, among other things. FITA Academy provides the best artificial intelligence course in Chennai at an affordable price. Flexibly scheduled batches for both offline and online courses throughout weekdays and weekends. After completing our training, we ensure 100% placement for the next level in your career. An active placement cell at FITA Academy assists students in achieving their objectives and securing their ideal careers. Upcoming Batches
- 04-09-2025
- Weekdays
- Thursday(Monday - Friday)
- 06-09-2025
- Weekend
- Saturday (Saturday - Sunday)
- 08-09-2025
- Weekdays
- Monday (Monday - Friday)
- 11-09-2025
- Weekdays
- Thursday(Monday - Friday)
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
- Understand simple Python programming, the background, the contrast among Python versions, and how to establish a Python development environment.
- Understand how data extraction, management techniques and statistical analysis processes are managed in Python.
- Our AI Courses Chennai teaches you about exploratory data analysis using NumPy, SciPy, and Pandas libraries.
- Get started with machine learning, its evaluation, and the improvement in performance of these models.
- Learn about supervised and unsupervised learning.
- Hypothesis Testing in Machine Learning: Understand the various statistical tests such as T-test and ANOVA.
- TensorFlow for Deep Learning: Learn neural network architecture, forward and backpropagation, hands-on experience with popular deep learning models, and hands-on experience with building projects like Chatbot, 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 Analysts, Deep Learning engineers, etc.
- Trainers conduct regular recap and doubt-clearing sessions to ensure you get a full grasp of the concepts taught.
- Our trainers assist with resume building and updating as part of the Artificial Intelligence Course in Chennai for freshers, providing valuable support for job searches.
- Our AI trainers assist students in crafting professional resumes and increase their confidence by conducting mock interviews, group discussions, and practice tests on artificial interview questions and answers.
Learn at FITA Academy & Get Your
Dream IT Job in 60 Days
like these Successful Students!
Student Success Story of Artificial Intelligence Course in Chennai
Arun Kumar, after completing B.E in computer science, worked in a BPO for a few months. Due to a lack of career growth, he decided to pursue an additional course to enhance his skill set and grow his career. Then his friend suggested FITA Academy to upskill his knowledge.
When he enquired our coordinators about the courses available, he was suggested the Artificial Intelligence Course in Chennai due to his interest in coding. He completed the Capstone Projects and obtained a certification upon completion.
Arun Kumar attended our placement training session and got a good grasp of it. 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.
Key Features
FITA Academy empowers individuals with industry-relevant skills through expert-led training, transforming careers with hands-on experience.
Expert Trainers
Learn from industry professionals with hands-on experience.
Real-Time Projects
Gain practical exposure by working on live projects.
Certification
Get certified from FITA Academy and become job-ready.
Affordable Fees
High-quality courses available at a low budget.
Flexible Learning
Choose online/classroom, timings, and learning pace.
Placement Support
Access 3000+ companies for career opportunities.
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
After completing the Artificial Intelligence Training in Chennai at FITA Academy, you will be awarded a valuable certificate that validates your proficiency in AI. By adding this certificate to your resume, your profile becomes more noticeable during interviews, opening several doors for you in the right direction toward career opportunities.
Advantages of the AI Certification Course at FITA Academy
Acquire Essential Skills: Attain comprehensive knowledge of Machine Learning, Deep learning, and neural networks via expert-guided training and practical projects.
Experiential Learning: Create a solid portfolio by engaging in hands-on projects and utilising your skills to tackle real-life problems.
Obtain a Worthwhile Certification: Confirm your AI skills with an acknowledged certificate that distinguishes you from Artificial Intelligence Books and others in the field.
Advance Your Career: Unlock opportunities for thrilling AI positions with a certification showcasing your abilities and professional development dedication.
Flexible Learning: Manage your career and studies with our easy online and offline courses from the Best Institute for Artificial Intelligence in Chennai.
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.”
Companies like 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., are some of the best-known companies hiring AI professionals.
Other less well-known brands may be hiring AI specialists. Moreover, an AI Engineer Salary for Freshers is between Rs. 6 LPA and Rs. 8 LPA. After years of experience, an AI Engineer will earn approximately Rs. 10 LPA and Rs. 18 LPA. Globally, an Artificial Engineer may earn around $165,000 yearly. These were the salary reports submitted by PayScale.com.
Want to grab a position in this in-demand sector? Looking for the right place to learn in Chennai? Join the Artificial Intelligence Course in Chennai with Placement at FITA Academy, which provides extensive training following a comprehensive Artificial Intelligence Syllabus.
There are many career prospects in AI, including AI Engineer, Data Architect, Data Scientist, Machine Learning Engineer, Robotics Engineer, Natural Language Processing Engineer, Computer Vision Engineer, etc. AI and machine learning have become integral to sectors such as healthcare, finance, automation, and entertainment, opening up a new horizon for innovation. For anyone looking forward to joining AI Courses Chennai, we have got you covered with an in-depth course on AI. After completing the course at FITA Academy, you will become fit for many roles, some of which are given below:
AI Engineer
AI Engineers employ artificial intelligence and Machine Learning, aiming to make systems useful for various organizations in terms of reducing costs or improving efficiency, for instance. Indeed, there are many consequences amongst which include cost reduction measures as well as augmentation of productivity within organizations. In companies using such technology every day, it is important for them to have these particular workers who do this job. AI Engineers help organizations make business decisions through insights drawn using AI and ML algorithms. At FITA Academy, our AI courses Chennai feescan be very beneficial if you are aspiring to become an AI engineer.
Data Architect
The job of a data architect is to construct the data pipeline of a company that eventually leads to ETL, OLAP, BI solutions including building data warehouses. They are required to have expertise in databases, data models as well as being conversant with RDBMS and NoSQL systems. It’s important for organizations to have data architects due to the many roles they play such designing of the technical architecture necessary for implementing data solutions such as data warehouses. To become a data architect, one can complete an AI Courses in Chennai to 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.
Data science experts can assist in making appropriate decisions by analyzing enormous quantities of data. Performing predictions, recommendations or classifications are some areas where they work. These issues are usually addressed with statistical techniques as well as machine learning including artificial intelligence which is utilized extensively across companies where such experts exist.
Is your aim to become a Data Scientist? Then enroll in the AI Training in Chennai at FITA Academy. Here, you will be trained on all fronts including machine learning, Python programming, Data Science and Artificial Intelligence Courses in Chennai, etc.
Machine Learning Engineer
A machine learning engineer (MLE) is responsible for developing and experimenting with ML-based solutions for businesses or organisations. Most information security analysts have got a Bachelor’s degree in computer science or any engineering course but can contain experience in other areas like data analysis or development of software. MLE really is a position that’s only continuing to get more popular because people are only continuing to get more interested in things like 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
A robotic engineer has expertise in designing, developing and maintaining robot systems, primarily working in manufacturing, healthcare or aerospace. The main objective for these specialists is constructing/creating robots which may be able to perform chores which pose a danger or might be monotonous or prove quite challenging to human beings. Robotics have made a massive contribution to the field of Artificial Intelligence, and with the knowledge gained through AI Courses Chennai, robotics engineers are able to apply techniques such as Machine Learning and Edge Computing. This enables them to increase their speed and efficiency of operation.
Natural Language Processing Engineer
AI Courses Chennai offer valuable insights into developing and designing systems for understanding languages. NLP engineers play a critical function by establishing devices and systems to understand human languages. They are significant contributors to the development and design of systems for understanding languages that include analysing voice patterns, AI speech recognition, understanding natural languages, and producing coherent natural language. In addition, these professionals actively craft scripts focused on analysing and processing textual data. Their emphasis lies in ensuring accuracy in understanding language nuances. The future of interactions between people and the machines that emulate them is largely influenced by the engineers involved in Natural Language Processing (NLP). They make chatbots more responsive, help computers understand languages spoken by humans, translate one language into another, etc. To do this kind of job, they must have knowledge of linguistics as well as computer science which form part of their skills.
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 accomplish intricate algorithms and models for extracting relevant data from images and videos. Autonomous cars, medical image analysis, and augmented reality are among the many things that could not run without computer vision engineers, such as those developing autonomous vehicles or creating new techniques for face recognition based on deep learning involving artificial neural networks. For individuals interested in mastering these cutting-edge skills, AI Courses Chennai offers the ideal platform to start or enhance their careers in the field of artificial intelligence.
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.
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Frequently Asked Question (FAQ) about Artificial Intelligence Course in Chennai
- Learn from AI experts through our AI course at FITA Academy.
- Gain hands-on experience by doing projects.
- Our AI course fee in Chennai is affordable.
- All course schedules are made flexible so that working professionals and students can attend them.
- Mock interviews and Interview Tips are provided to students.
- Placement assistance is offered to candidates at the end of their respective courses.
- Yes, as we have tie-ups with more than 3000 companies of small, medium, and large scale, we offer 100% placement support.
- Vacancies for Artificial Intelligence Developers, Artificial Intelligence Engineers, etc.
- Once you complete the Artificial Intelligence Course in Chennai at FITA Academy, you will get access to this placement support.
- Placement cell assists students prepare with mock interviews, Artificial Intelligence Interview Questions and Answers and group discussions.
- FITA Academy was established in 2012 by IT experts in order to offer the best IT training services.
- We have trained more than 1,00,000 students till now; that as well we are proud of because many of them are working individuals.
- The batch size of each class at FITA Academy is optimised with 5-6 students per batch.
- We have limited the batch size to provide personalised attention and clear the students' doubts in complex topics clearly with tutors.
- FITA Academy provides the necessary practical training to students with many Industry case studies, Corporate Training and real-time projects.
- Artificial Intelligence Training in Velachery
- Artificial Intelligence Training in Anna Nagar
- Artificial Intelligence Training in T Nagar
- Artificial Intelligence Training in OMR
- Artificial Intelligence Training in Tambaram
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AI analyzes and interprets existing data to enhance efficiency and inform decision-making within predefined boundaries. Generative AI, a specific branch of AI, takes this a step further by using existing data to create completely new content, such as text, images, and music.
General Q & A about Artificial Intelligence Course in Chennai
Which Institute offers Artificial Intelligence in Chennai?
What are the fee structures of Artificial Intelligence in Chennai?
What is the duration of AI course?
What is the salary offered to a fresh AI engineer in Chennai?
In Chennai, how much does an AI developer get paid?
Does AI require coding?
Does AI have a future?
Does AI have a future?
Which country pays highest salary for AI engineer?
The USA pays the highest remuneration to its AI engineers across the world, and it ranges between $132K and $136K annually.
Does AI need maths?
Yes. AI uses three concepts of Maths. They are,
- Linear Algebra
- Calculus
- Probability
What is the actual salary of a fresher who has completed his degree in Artificial Intelligence in India?
How much does an Engineer in AI receive after five years of service?
How much Google will pay for the post of an AI engineer?
Can a fresher learn AI?
Can I learn AI in 3 months?
How much does an AI engineer earn at 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 competencies are required for any 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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