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Artificial Intelligence Training in Chennai

Rated #1 Recognized as the No.1 Institute for Artificial Intelligence Training in Chennai

(4.9) 19876 Ratings

Course Duration

55+ Hrs

Live Project

3 Project

Certification Pass

Guaranteed

Training Format

Live Online (Expert Trainers)
WatchLive Classes
Course fee at
₹14500

₹18000

11659+

Professionals Trained

10+

Batches every month

3084+

Placed Students

273+

Corporate Served

What You'll Learn

Master machine learning skills to build intelligent, data-driven AI solutions.

Learn deep learning networks to address intricate real-world challenges effectively.

Develop practical expertise in NLP and computer vision using Python and TensorFlow.

Develop AI models with live projects to enhance your hands-on knowledge repository.

Discover ethical AI best practices to develop responsible and unbiased intelligent systems.

Artificial Intelligence Training in Chennai prepares you for high-in-demand tech positions quickly.

An overview of Artificial Intelligence Course

The Artificial Intelligence Training in Chennai is thorough and in-depth learning experience that is going to lead participants through the core principles, techniques, and practical applications of Artificial Intelligence Training. It is going to begin with the history of AI, key milestones in its creation, and ethical concerns regarding its utilization. Participants are armed with necessary mathematical and programming concepts that enable them to comprehend AI principles. The course progresses to encompass machine learning techniques, which include supervised, unsupervised, and reinforcement learning. Towards the end of the course, the learners study deep learning, including neural networks, convolutional networks, and recurrent networks and their applications in image and speech recognition, among others.

Additional Info

Uncovering Future Developments in Artificial Intelligence Training

  • Autonomous Systems: The progress in AI algorithms, sensor technologies, and robotics is fueling the emergence of autonomous systems to execute intricate tasks without direct human control. These include autonomous vehicles, drones, robot companions, and unmanned aerial vehicles (UAVs) for use in transportation, logistics, medicine, and defense.
  • Explainable AI (XAI):With increasingly advanced and ubiquitous AI systems, there is an increasing demand for transparency and accountability in AI decision-making. Explainable AI (XAI) seeks to create algorithms and methods that offer understandable explanations of AI predictions and decisions, allowing users to comprehend, trust, and audit AI systems.
  • AI-Based Healthcare:AI has the potential to revolutionize healthcare by providing better diagnosis, customized treatment, and predictive analysis. AI-powered healthcare in the future can potentially involve creating predictive models for disease detection and prognosis, AI-aided medical imaging and diagnostics, and virtual healthcare assistants for patient monitoring and care management.
  • Natural Language Understanding: Advances in natural language processing (NLP) and understanding are powering advances in conversational AI, virtual assistants, and human-computer interaction. Next-generation AI systems could have increased fluency, context sensitivity, and empathy in interpreting and generating human-like language to provide more natural and intuitive interaction with users.
  • AI for Climate Change and Sustainability: AI technologies have immense potential to solve global issues like climate change, resource scarcity, and environmental sustainability. Future developments can involve AI-driven predictive models for climate prediction, optimization algorithms for energy efficiency and resource allocation, and AI-driven solutions for renewable energy, agriculture, and conservation.
  • Ethical AI and Bias Removal: With augmented integration of AI into society, there is now greater awareness and recognition of the ethical issues, biases, and fairness problems inherent in AI systems. Future technology may center around creating ethical frameworks for AI, bias detection tools, and algorithms for ensuring the AI systems and systems operate and maintain fairness principles, accountability, and transparency.

Mastering Artificial Intelligence Training Essential Tools

  • Foundations of Machine Learning:This topic discusses the basics of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. It discusses fundamental concepts like classification, regression, clustering, and dimensionality reduction, as well as popular algorithms like linear regression, decision trees, support vector machines, k-nearest neighbors, and so on.
  • Deep Learning Frameworks: Venturing into the field of deep learning, the book acquaints developers with widely used deep learning frameworks like TensorFlow, PyTorch, and Keras. It discusses neural network architectures, ranging from convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep reinforcement learning, with practical examples and best practices for creating and training deep learning models.
  • Natural Language Processing (NLP):This module is about natural language processing (NLP) techniques and tools for processing and analyzing human language. The subject matter includes tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, text classification, and language generation. Developers gain knowledge on how to use libraries like NLTK (Natural Language Toolkit), SpaCy, and Transformers for NLP operations.
  • Computer Vision:This section covers the exciting area of computer vision, including methods of processing and interpreting visual information. Developers are taught image preprocessing, feature extraction, object detection, image segmentation, and image classification using deep learning techniques. Well-known libraries like OpenCV and TensorFlow Object Detection API are covered, as are practical examples and projects.
  • Reinforcement Learning:The text explores reinforcement learning, a strong paradigm for training agents to act on environments and learn best behavior through trial and error. Solutions such as Markov decision processes, Q-learning, deep Q-networks (DQN), policy gradients, and actor-critic approaches are covered. Developers learn how to create and train reinforcement learning agents with tools such as OpenAI Gym and TensorFlow Agents.
  • Model Deployment and Productionization:In the last section, developers get to know best practices of deploying and operationalizing AI models in production environments. Some of the topics include model serialization, containerization, model serving, scalability, monitoring, and model versioning. Tools like Docker, Kubernetes, TensorFlow Serving, and Apache Kafka are discussed to enable seamless integration of AI models into production systems.

Understanding The Roles and Responsibilities in Artificial Intelligence Training:

  • AI Model Developer:An AI Model Developer is tasked with creating and developing intelligent systems that are capable of analyzing data, identifying patterns, and making well-informed decisions. They develop algorithms that allow machines to learn from data and become better over time. Their responsibilities involve testing model refining accuracy and optimizing systems for practical use. They work in coordination with other teams to make the AI model integrate into existing platform seamlessly. This role is pivotal in delivering AI solutions in accordance with certain business goals.
  • Data Preprocessing Specialist:This expert has a vital role in data preparation for AI training cleaning formatting and putting raw data into a shape understandable by models They fill in missing values eliminate outliers and normalize inputs to provide consistency in datasets. Their thorough knowledge of the data prevents errors in training and enhances the precision of AI prediction Collaborating closely with data engineer they optimize the entire data pipeline. Effective preprocessing directly impacts the success of any AI project.
  • AI Trainer:An AI Trainer trains machine learning models to carry out tasks by inputting them labeled data sets and updating their predictions with feedback on performance They have an active part to play in model testing and training, adjusting as required to maximize outcome This consists of ongoing supervision and fine-tuning of algorithms until a given level of accuracy is achieved They provide for ensuring representative training datasets and preventing model bias Their specialist skills are invaluable to the manner in which an AI system learns and behaves.
  • Machine Learning Engineer:The Machine Learning Engineer is responsible for architecting and deploying scalable machine learning systems in production. They code and optimize code that turn models from prototypes to production-ready tools. Their tasks involve integration of the data pipeline, model monitoring, and retraining to ensure accuracy over a period. They frequently collaborate with developer and IT teams to facilitate smooth implementation Their work ensure that AI models run flawlessly in actual environment.
  • Research Analyst:A Research Analyst in AI explores new technologies, new algorithms and best practices to improve existing AI capabilities. They perform experiment analyze results, and benchmark various machine learning method. Their observations assist in guiding long-term development plans and innovation By keeping up with academic and industry trends, they keep the AI training program state-of-the-art. They might also publish research results or write for white papers and technical reports.
  • AI Ethics Officer:This position is responsible for ensuring that AI systems are developed and deployed in a fair, transparent, responsible way. The AI Ethics Officer develops guidelines for ethical use of AI reviews data and models for bias and ensures legal standard compliance. They train teams on ethical issues and assist in incorporating fairness into every phase of development. Their vigilance avoids abuse and establishes public confidence in AI systems. It is a growingly important responsibility in every AI training program.
  • Natural Language Processing (NLP) Expert:An NLP Specialist creates systems to allow machines to comprehend, process and react human language. They develop applications such as chatbots, text summarizers, translation software and sentiment analysis engines. Their role is to curate linguistic data sets training language models, and tuning outputs for precision and readability. They also fix language ambiguitie and enhance model contextual and tone comprehension. This is the position that fills the gap between language and machine intelligence.
  • Computer Vision Engineer:This expert designs AI systems that translate visual information from cameras, images, and videos. They are experts in object detection, facial recognition, motion tracking, and image classification. Computer Vision Engineers train models with annotated datasets and tune them for performance in different lighting or environmental conditions. They make models run consistently on different devices and real-world situations Their work enables innovations in healthcare, automotive, and security sectors.
  • AI Infrastructure Manager:An AI Infrastructure Manager is tasked with establishing and sustaining the technical infrastructure required for AI development and training. They coordinate computing resources like GPUs, servers, and cloud environments to facilitate smooth data processing. They also monitor software installation update tools and enforce security protocols to safeguard sensitive data Their work is critical in ensuring efficiency scalability and reliability Without them, AI projects would not be able to operate smoothly.
  • Artificial Intelligence Instructor:An Artificial Intelligence Instructor leads structured learning sessions, providing student with both theoretical knowledge and practical experience They simplify complex concept and guide learners through real-world projects simulate industry demands. This instructor delivers Artificial Intelligence Training or through virtual platforms, ensuring learners gain hands-on exposure to tools and frameworks. They also assess student performance and adapt content to meet diverse learning needs. Their guidance shapes the next generation of AI professionals.

Top Companies Hiring for Artificial Intelligence Professionals

  • Apple:Apple embeds AI features in its products and services, such as Siri (voice assistant), facial recognition (Face ID), image processing (Photos app), and predictive typing (QuickType keyboard). Apple is concentrating on AI-based innovation in consumer electronics, software development kits (Core ML), and autonomous vehicles.
  • IBM:IBM is a leader in AI research and development, providing a variety of AI-based solutions and services via its Watson AI platform. IBM's AI efforts span cognitive computing, predictive analytics, natural language processing, and AI-driven business applications across industries.
  • Amazon:Amazon uses AI throughout its online store, cloud computing (Amazon Web Services), logistics, and intelligent devices (e.g., Amazon Alexa). Amazon spends a lot on AI technologies for product suggestions, targeted marketing, inventory optimization, and fulfillment.
  • Microsoft: Microsoft is a leading company in AI research and development, providing AI-driven solutions and services via its Azure cloud platform, Office 365 suite, and cognitive services. Microsoft's AI efforts cover domains like machine learning, natural language understanding, computer vision, and conversational AI.
  • Facebook: Facebook uses AI methods to improve user experience, content moderation, advertising targeting, and social networking functionality on its sites (Facebook, Instagram, WhatsApp). Facebook spends money on AI research through its AI Research (FAIR) group and creates AI-based products such as Facebook Marketplace and Oculus VR.
  • Netflix:Netflix employs AI and machine learning to deliver personalized content recommendations, optimize streaming quality of its videos, and maximize user interactions on its video streaming platform. Netflix invests in AI research to study the viewing habits of viewers, anticipate viewing patterns on its content offerings, and advance content discovery software.
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Artificial Intelligence Course Objectives

A foundational understanding of mathematics, particularly linear algebra and probability, along with some programming experience (preferably Python), is helpful. Prior exposure to data structures or algorithms can also support a smoother learning experience.
This course equips learners with practical knowledge of machine learning, data modeling, and intelligent systems. You'll gain skills to build automated solutions, extract insights from data, and design smart applications across diverse real-world scenarios.
The demand for professionals skilled in intelligent systems has grown rapidly across sectors. Organizations value individuals who can design learning-based applications, enabling innovation and smarter services, making this expertise highly sought after.
Yes, learners apply concepts by building real-life models, such as text classifiers, image recognition tools, and prediction engines, helping them bridge the gap between theory and implementation.
  • Intelligent automation in daily life
  • Data-driven decision systems
  • Language and speech interpretation
  • Predictive modeling in healthcare
  • Autonomous systems in vehicles
  • Fundamentals of machine learning
  • Supervised and unsupervised algorithms
  • Neural networks and deep learning
  • Natural language understanding
  • Computer vision techniques
  • Healthcare and diagnostics
  • Finance and insurance
  • Retail and recommendation systems
  • Manufacturing and automation
  • Telecommunications
While the course guarantee employment, it greatly increases your chances by building highly marketable technical skills. Employers often prioritize candidates who can develop smart solutions and handle complex data challenges.
  • In-depth understanding of intelligent system design
  • Practical experience with problem-solving
  • Exposure to cutting-edge technology
  • Boosted profile for tech roles
  • Broader career opportunities
Participants will learn to work with industry-relevant platforms such as TensorFlow, Keras, Scikit-learn, Jupyter, and data processing libraries like Pandas and NumPy to create and test intelligent models effectively.
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Benefits of Artificial Intelligence Course

An Artificial Intelligence Training in Chennai prepares students to design intelligent systems, automate processes, and solve complicated issues based on data. It leads to lucrative AI, machine learning, and data science careers. Students have practical experience with real-world projects, so they are job-ready and can lead change across various industries such as healthcare, finance and technology.

  • Designation
  • Annual Salary
    Hiring Companies
  • 5.0L
    Min
  • 6.4L
    Average
  • 17L
    Max
  • 4.4L
    Min
  • 7.8L
    Average
  • 15L
    Max
  • 5.6L
    Min
  • 8.9L
    Average
  • 16.2L
    Max
  • 4.8L
    Min
  • 9.5L
    Average
  • 18L
    Max

About Your Artificial Intelligence Training

Our Artificial Intelligence Training in Chennai is tailored to develop your skills from scratch with an emphasis on practical use. Master AI basics, machine learning, and model deployment through project-based learning. Supported by 500+ hiring partners, we provide 100% placement assistance and career counseling, assisting you in securing top jobs in a fast-evolving tech-oriented sector.

Top Skills You Will Gain
  • Machine Learning
  • Deep Learning
  • Data Analysis
  • Neural Networks
  • Natural Language
  • Computer Vision
  • Statistical Modeling
  • Predictive Analytics

12+ Artificial Intelligence Tools

Online Classroom Batches Preferred

Monday (Mon - Fri)
05-May-2025
08:00 AM (IST)
Wednesday (Mon - Fri)
07-May-2025
08:00 AM (IST)
Saturday (Sat - Sun)
10-May-2025
11:00 AM (IST)
Saturday (Sat - Sun)
11-May-2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹18000 ₹14500 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

Why Artificial Intelligence Course From Learnovita? 100% Money Back Guarantee

Artificial Intelligence course Curriculum

Trainers Profile

Artificial Intelligence course is headed by certified trainers who have industry experience of years and are at present employed by top multinational corporations. Our trainers are committed to providing the best knowledge and industrial practices in AI so that our students gain expertise to excel in the present day competitive job market. With their practical knowledge from the world and hands-on experience, our instructors deliver an all-encompassing learning experience that fills the gap between practice and theory, making students ready for a successful professional career in AI.

Syllabus for Artificial Intelligence Training in Chennai Download syllabus

  • Definition and evolution of Artificial Intelligence
  • Branches and applications of AI
  • Differences between AI, machine learning, and deep learning
  • AI problem-solving approaches
  • Intelligent agents and environments
  • Uninformed search strategies (BFS, DFS)
  • Informed search strategies (A*, Greedy)
  • Heuristics and evaluation functions
  • Constraint satisfaction problems
  • Game playing Minimax and Alpha-Beta pruning
  • Logical representation of knowledge
  • Propositional and predicate logic
  • Semantic networks and frames
  • Rule-based systems and inference mechanisms
  • Ontologies and reasoning in uncertain environments
  • Types of machine learning
  • Data preprocessing and feature selection
  • Linear regression and logistic regression
  • Decision trees and k-nearest neighbors
  • Model evaluation techniques
  • Biological vs. artificial neurons
  • Architecture of neural networks
  • Forward and backward propagation
  • Activation functions and loss functions
  • Convolutional and recurrent neural networks
  • Language models and text preprocessing
  • Tokenization, stemming, and lemmatization
  • Part-of-speech tagging and named entity recognition
  • Sentiment analysis and topic modeling
  • Sequence-to-sequence models
  • Image processing and filtering
  • Edge detection and feature extraction
  • Object detection and classification
  • Convolutional neural networks for vision tasks
  • Image segmentation techniques
  • Markov decision processes
  • Policy and value functions
  • Q-learning and SARSA
  • Exploration vs. exploitation
  • Deep reinforcement learning
  • Robot perception and sensor fusion
  • Motion planning and control
  • Pathfinding algorithms
  • Localization and mapping
  • Human-robot interaction fundamentals
  • Transparency and explainability of AI systems
  • Bias and fairness in algorithmic decisions
  • Privacy concerns in data-driven models
  • Accountability in automated decisions
  • Societal impact of AI technologies
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Need customized curriculum?

Industry Projects

Project 1
Voice-Enabled Virtual Assistant

Design an intelligent voice assistant that understands spoken queries, processes natural language, performs tasks like setting reminders or fetching weather updates using speech-to-text, and response generation.

Project 2
Smart Traffic Signal Optimization

Develop a system that analyzes live traffic camera feeds and sensor data to adjust signal timings dynamically, reducing congestion and improving flow using computer vision and reinforcement learning.

Project 3
Personalized Learning Path Generator

Build an adaptive learning engine that analyzes student performance data to recommend customized content, quizzes, and pacing using clustering and classification algorithms for better learning outcomes.

Career Support

Our Hiring Partner

Exam & Artificial Intelligence Certification

  • Basic understanding of mathematics (linear algebra, probability)
  • Familiarity with programming languages (preferably Python)
  • Knowledge of data structures and algorithms
  • Exposure to statistics and data analysis concepts
  • Optional experience with tools like Jupyter or NumPy
An Artificial Intelligence Certification validates your ability to design intelligent solutions, interpret data patterns, and build predictive systems. It boosts your technical credibility and opens doors to roles focused on smart automation and data-driven innovation.
Certification guarantees employment, but an Artificial Intelligence Certification significantly enhances your job prospects by showcasing your expertise in intelligent system development and your readiness to solve complex data-centric problems.
This certification gives you practical experience with real-world tools and algorithms, helping you transition into emerging roles that demand intelligent automation skills. It demonstrates your initiative and positions you for higher-level technical opportunities.
  • Machine Learning Engineer
  • Data Scientist
  • NLP Engineer
  • Computer Vision Specialist
  • Robotics Programmer
  • AI Software Developer

Our Student Successful Story

checkimage Regular 1:1 Mentorship From Industry Experts checkimage Live Classes checkimage Career Support

How are the Artificial Intelligence Course with LearnoVita Different?

Feature

LearnoVita

Other Institutes

Affordable Fees

Competitive Pricing With Flexible Payment Options.

Higher Artificial Intelligence Fees With Limited Payment Options.

Live Class From ( Industry Expert)

Well Experienced Trainer From a Relevant Field With Practical Artificial Intelligence Training

Theoretical Class With Limited Practical

Updated Syllabus

Updated and Industry-relevant Artificial Intelligence Course Curriculum With Hands-on Learning.

Outdated Curriculum With Limited Practical Training.

Hands-on projects

Real-world Artificial Intelligence Projects With Live Case Studies and Collaboration With Companies.

Basic Projects With Limited Real-world Application.

Certification

Industry-recognized Artificial Intelligence Certifications With Global Validity.

Basic Artificial Intelligence Certifications With Limited Recognition.

Placement Support

Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.

Basic Placement Support

Industry Partnerships

Strong Ties With Top Tech Companies for Internships and Placements

No Partnerships, Limited Opportunities

Batch Size

Small Batch Sizes for Personalized Attention.

Large Batch Sizes With Limited Individual Focus.

Additional Features

Lifetime Access to Artificial Intelligence Course Materials, Alumni Network, and Hackathons.

No Additional Features or Perks.

Training Support

Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

Limited Mentor Support and No After-hours Assistance.

Artificial Intelligence Course FAQ's

Certainly, you are welcome to join the demo session. However, due to our commitment to maintaining high-quality standards, we limit the number of participants in live sessions. Therefore, participation in a live class without enrollment is not feasible. If you're unable to attend, you can review our pre-recorded session featuring the same trainer. This will provide you with a comprehensive understanding of our class structure, instructor quality, and level of interaction.
All of our instructors are employed professionals in the industry who work for prestigious companies and have a minimum of 9 to 12 years of significant IT field experience. A great learning experience is provided by all of these knowledgeable people at LearnoVita.
  • LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
  • Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
  • Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One , Infosys, MindTree, and MPhasis, among others.
  • LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
  • We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
  • Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
LearnoVita Certification is awarded upon course completion and is recognized by all of the world's leading global corporations. LearnoVita are the exclusive authorized Oracle, Microsoft, Pearson Vue, and Artificial Intelligence I exam centers, as well as an authorized partner of Artificial Intelligence . Additionally, those who want to pass the National Authorized Certificate in a specialized IT domain can get assistance from LearnoVita's technical experts.
As part of the training program, LearnoVita provides you with the most recent, pertinent, and valuable real-world projects. Every program includes several projects that rigorously assess your knowledge, abilities, and real-world experience to ensure you are fully prepared for the workforce. Your abilities will be equivalent to six months of demanding industry experience once the tasks are completed.
At LearnoVita, participants can choose from instructor-led online training, self-paced training, classroom sessions, one-to-one training, fast-track programs, customized training, and online training options. Each mode is designed to provide flexibility and convenience to learners, allowing them to select the format that best suits their needs. With a range of training options available, participants can select the mode that aligns with their learning style, schedule, and career goals to excel in Artificial Intelligence .
LearnoVita guarantees that you won't miss any topics or modules. You have three options to catch up: we'll reschedule classes to suit your schedule within the course duration, provide access to online class presentations and recordings, or allow you to attend the missed session in another live batch.
Please don't hesitate to reach out to us at contact@learnovita.com if you have any questions or need further clarification.
To enroll in the Artificial Intelligence at LearnoVita, you can conveniently register through our website or visit any of our branches in India for direct assistance.
Yes, after you've enrolled, you will have lifetime access to the student portal's study materials, videos, and top MNC interview questions.
At LearnoVita, we prioritize individual attention for students, ensuring they can clarify doubts on complex topics and gain a richer understanding through interactions with instructors and peers. To facilitate this, we limit the size of each Artificial Intelligence Service batch to 5 or 6 members.
The average annual salary for Artificial Intelligence Professionals in India is 7 LPA to 8 LPA.
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