Courses / Artificial Intelligence Course in Chennai
Artificial Intelligence Course in Chennai
Get Your Dream IT Job in 60 Days
- Real time Industry Experts as Trainers
- Free Interview Clearing Workshops
- Trusted by Over 1,00,000 Student Alumni
- Placement Support till you get your Dream Job offer!
- Free Resume Preparation & Aptitude Workshops
Course Highlights and Why Artificial Intelligence Course in Chennai at FITA Academy?
Our course modules are crafted by industry veterans to align with the latest global AI trends. Our practical applications will give you extensive knowledge of neural networks and deep learning. We provide the best artificial intelligence course in Chennai at a reasonable price, ensuring quality education is accessible to all. Choose from conveniently scheduled weekday and weekend batches, available both offline and online. Our active placement cell ensures 100% placement assistance to help you secure your ideal career in AI. Upcoming Batches
- 02-10-2025
- Weekdays
- Thursday (Monday - Friday)
- 04-10-2025
- Weekend
- Saturday (Saturday - Sunday)
- 06-10-2025
- Weekdays
- Monday (Monday - Friday)
- 09-10-2025
- 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
- Master foundational Python programming and statistical analysis using key libraries like NumPy, SciPy, and Pandas.
- Understand how data extraction, management techniques, and statistical analysis processes are managed in Python.
- Our AI Courses Chennai teach you about exploratory data analysis using NumPy, SciPy, and Pandas libraries.
- Dive into the core of machine learning, including both supervised and unsupervised learning models.
- Understand essential concepts, such as hypothesis testing, T-tests, and ANOVA, which are crucial for making data-driven decisions.
- TensorFlow for Deep Learning: Learn about neural network architecture, forward and backpropagation, and get hands-on experience with TensorFlow to build real-world projects like a Chatbot or Facial Recognition system.
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
- Our AI Courses in Chennai are taught by professional trainers who combine theoretical concepts with real-world applications.
- Our trainers are certified professionals with extensive experience as data scientists, machine learning analysts, and deep learning engineers.
- Trainers conduct regular recap and doubt-clearing sessions to ensure you get a full grasp of the concepts taught.
- Trainers assist with resume building, mock interviews, and group discussions, preparing you for job interviews and providing valuable insights.
- 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 completed his degree in Computer Science and secured a job at a BPO, but he soon felt stuck with no opportunities for advancement. To enhance his skills and advance his career, he desired additional training. He discussed it with his friend during their evening meeting. His friend told him about FITA Academy, a place where he could learn new things.
When he inquired about the courses available, he was advised on AI due to high demand and his interest in coding. He enrolled in the Artificial Intelligence Course in Chennai, dedicating himself to the hands-on projects and capstone assignments.
Arun Kumar attended our placement training sessions and gained a strong understanding of the material. FITA Academy’s placement training helped he secure two job offers. He accepted a position as an AI Engineer at Team Everest with a starting salary 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 that showcases your abilities and demonstrates your dedication to professional development.
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 demand for AI professionals is increasing across nearly every sector, from Cyber Security and healthcare to finance and robotics. An AI certification from FITA Academy is your key to a high-growth career in this transformative field.
Our comprehensive AI Courses in Chennai are designed to prepare you for the most sought-after job titles, including:
- AI Engineer
- Data Architect
- Data Scientist
- Machine Learning Engineer
- Robotics Engineer
- Natural Language Processing Engineer
- Computer Vision Engineer
“100% placement assistance and training are provided after the completion of the course until they secure a job.”
Our Comprehensive Artificial Intelligence Syllabus training helps you build a strong career. Our dedicated 100% placement assistance program ensures you are not just course-ready, but also job-ready. We’ll connect you with our extensive network of hiring partners and prepare you for interviews with Resume Optimization, Mock Interviews, and Interview Q&A.
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.
An AI Certification from FITA Academy opens the door to high-paying jobs in a field with an intense career course. Moreover, an AI Engineer Salary for Freshers is between ₹6 LPA to ₹8 LPA. With just a few years of experience, salaries can increase significantly, ranging from ₹10 LPA to ₹18 LPA or more. In global markets, particularly in the US, an AI professional can earn an average annual salary of $165,000. These were the salary reports submitted by PayScale.com.
After completing the AI Courses Chennai at FITA Academy, you will become fit for many roles, some of which are given below:
AI Engineer
AI engineers utilize artificial intelligence and machine learning, aiming to make systems useful for various organizations by reducing costs or improving efficiency, for instance. This technology has numerous benefits, including cost reduction and increased productivity for organisations. In companies that use such technology every day, they need to have workers who specialize in this job. AI engineers help organizations make informed business decisions by drawing insights using AI and ML algorithms. At FITA Academy, our AI courses Chennai fees can be very beneficial if you are aspiring to become an AI engineer.
Data Architect
The role of a data architect is to design a company’s data pipeline, which ultimately leads to ETL, OLAP, and BI solutions, including the creation of data warehouses. They are required to have expertise in databases and data models and be conversant with RDBMS and NoSQL systems. It’s essential for organizations to have data architects due to the numerous roles they play, including designing 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 utilize advanced analytics techniques to develop new solutions that benefit their organizations. Programming, statistics, business analysis, and computer science are among the areas of expertise that they possess.
Data science experts can help make informed decisions by analyzing vast amounts of data. Performing predictions, recommendations, or classifications is one area where they work. These issues are typically addressed using statistical techniques, as well as machine learning, including artificial intelligence, which is widely utilized across companies where such experts are available.
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, 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 organizations. Most machine learning engineers have a bachelor’s degree in computer science or another engineering field, but they may also have experience in areas like data analysis or software. MLE is a position that’s only continuing to gain popularity because people are becoming increasingly interested in fields 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 the fields of manufacturing, healthcare, or aerospace. The primary objective for these specialists is to design robots that can perform tasks that pose a danger, are monotonous, or are pretty challenging for humans. Robotics has made a massive contribution to the field of artificial intelligence. With the knowledge gained through AI Courses Chennai, robotics engineers can apply techniques such as machine learning and edge computing. This enables them to increase their speed and operational efficiency.
Natural Language Processing Engineer
AI Courses Chennai offers valuable insights into developing and designing systems for understanding languages. NLP engineers play a critical role by establishing devices and systems to understand human languages. They are significant contributors to the development and design of systems for understanding languages, which include analyzing voice patterns, AI speech recognition, understanding natural languages, and producing coherent natural language. In addition, these professionals actively craft scripts focused on analyzing 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, and translate one language into another, among other things. To perform this kind of job, they must possess knowledge of linguistics as well as computer science, which are essential components 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 primary role of computer vision engineers is to enable computers to interpret visual data. 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 applications that rely on computer vision engineers, such as those developing autonomous vehicles or creating new techniques for face recognition based on deep learning, which involves artificial neural networks. For individuals interested in mastering these cutting-edge skills, AI Courses Chennai provides the ideal platform to launch or advance 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.
Our Students Work at
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 reasonable.
- All course schedules are designed to be flexible, allowing working professionals and students to attend them.
- Mock interviews and Interview Tips are provided to students.
- We offer expert-led training with hands-on projects, flexible schedules, and guaranteed placement support at a reasonable fee.
- Yes, we provide 100% placement assistance with tie-ups to over 3,000 companies. Our placement cell helps with mock interviews, resume building, and job applications.
- Once you complete the Artificial Intelligence Course in Chennai at FITA Academy, you will get access to this placement support.
- The Placement Cell assists students in preparing for mock interviews, as well as for Artificial Intelligence interview questions and Answers, and group discussions.
You can register via the contact number displayed on the website, or if you are seeking any artificial intelligence course near me in Chennai, you can visit your nearest branch directly.
- FITA Academy was established in 2012 by IT experts to provide the best IT training services.
- We have trained more than 100,000 students so far; we are proud of it because many of them are working individuals.
- Each batch at FITA Academy is optimized for 5-6 students.
- We have limited the batch size to provide personalised attention and clear the students' doubts in complex topics with tutors.
- FITA Academy provides students with the necessary practical training through numerous industry case studies, Corporate Training, and real-time projects.
Trainers are industry experts and provide hands-on training and industry-relevant skills to the students.
We accept cards, bank transfers, and UPI payments.
- 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
- Artificial Intelligence Training in Porur
FITA Academy offers an expert-led Artificial Intelligence Course in Chennai with placement support. That is one of the main reasons we are recognised as one of the top 10 best institutes for artificial intelligence in Chennai.
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?
Which country pays the highest salary for AI engineer?
Does AI need math?
Yes. AI uses three concepts of mathematics. 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 will Google 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?
Related Blog
- Difference between Machine Learning and AI
- Scope and Career Opportunities for Artificial Intelligence
- Real-Time Applications of Artificial Intelligence
- Top 5 Latest Artificial Intelligence Technologies
- Advantages of Artificial Intelligence
- The Importance Of Artificial Intelligence In Everyday Life
- Trending News In Artificial Intelligence
