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Artificial Intelligence Training in Chennai

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100% Job Guarantee | Minimum CTC: ₹ 5.5 LPA
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  • 40+ Hrs Hands On Learning
  • 3+ Live Best Industry Projects
  • 25+ Practical Assignments
  • 24/7 Student Helpdesk

Online Classroom Batches Preferred

10-Feb-2025
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

12-Feb-2025
Wednesday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

15-Feb-2025
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

16-Feb-2025
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

Can't find a batch you were looking for?
₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

A Comprehensive of the Artificial Intelligence Training Overview

The Artificial Intelligence Training in Chennai provides detailed and comprehensive learning experience that is going to guide participants in the foundational principles, methodologies, and real-world applications of Artificial Intelligence Training in Chennai. It is going to start with a history of AI, significant milestones in its development, and the ethical implications surrounding its use. Participants are equipped with essential mathematical and programming skills required to understand AI concepts. The curriculum moves forward to include techniques of machine learning, which involve supervised, unsupervised, and reinforcement learning. As the course continues, the students learn deep learning, including neural networks, convolutional and recurrent networks, and their applications in areas such as image and speech recognition.The ensuring that they acquire the practical expertise needed to apply AI techniques in solving complex problems across various industries.

Additional Info

Exploring Future Advancements in Artificial Intelligence Training

  • Autonomous Systems: Advancements in AI algorithms, sensor technologies, and robotics are driving the development of autonomous systems capable of performing complex tasks without human intervention. This includes self-driving cars, drones, robotic assistants, and unmanned aerial vehicles (UAVs) for applications in transportation, logistics, healthcare, and defense.
  • Explainable AI (XAI): As AI systems become more sophisticated and pervasive, there is a growing need for transparency and accountability in AI decision-making processes. Explainable AI (XAI) aims to develop algorithms and techniques that provide interpretable explanations for AI predictions and decisions, enabling users to understand, trust, and audit AI systems.
  • AI-Powered Healthcare: AI is poised to transform healthcare by enabling more accurate diagnosis, personalized treatment, and predictive analytics. Future advancements in AI-powered healthcare may include the development of predictive models for disease detection and prognosis, AI-assisted medical imaging and diagnostics, and virtual healthcare assistants for patient monitoring and care management.
  • Natural Language Understanding: Breakthroughs in natural language processing (NLP) and understanding are driving advancements in conversational AI, virtual assistants, and human-computer interaction. Future AI systems may achieve greater fluency, context awareness, and empathy in understanding and generating human-like language, enabling more natural and intuitive interactions with users.
  • AI for Climate Change and Sustainability: AI technologies hold great potential to address global challenges such as climate change, resource scarcity, and environmental sustainability. Future advancements may include AI-powered predictive models for climate forecasting, optimization algorithms for energy efficiency and resource management, and AI-driven solutions for renewable energy, agriculture, and conservation.
  • Ethical AI and Bias Mitigation: As AI becomes increasingly integrated into society, there is a growing awareness of ethical concerns, biases, and fairness issues in AI systems. Future advancements may focus on developing ethical AI frameworks, bias detection and mitigation techniques, and mechanisms for ensuring AI systems uphold principles of fairness, accountability, and transparency.

Mastering Artificial Intelligence Training Essential Tools

  • Foundations of Machine Learning: This section explores the fundamentals of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. It covers essential concepts such as classification, regression, clustering, and dimensionality reduction, along with popular algorithms like linear regression, decision trees, support vector machines, k-nearest neighbors, and more.
  • Deep Learning Frameworks: Delving into the realm of deep learning, the book introduces developers to popular deep learning frameworks such as TensorFlow, PyTorch, and Keras. It covers neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep reinforcement learning, providing hands-on examples and best practices for building and training deep learning models..
  • Natural Language Processing (NLP): This section focuses on natural language processing (NLP) tools and techniques for analyzing and understanding human language. Topics include tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, text classification, and language generation. Developers learn how to leverage libraries such as NLTK (Natural Language Toolkit), SpaCy, and Transformers for NLP tasks.
  • Computer Vision: Covering the exciting field of computer vision, this section explores techniques for processing and interpreting visual data. Developers learn about image preprocessing, feature extraction, object detection, image segmentation, and image classification using deep learning approaches. Popular libraries such as OpenCV and TensorFlow Object Detection API are discussed, along with practical examples and projects.
  • Reinforcement Learning: The book delves into reinforcement learning, a powerful paradigm for training agents to interact with environments and learn optimal behavior through trial and error. Topics include Markov decision processes, Q-learning, deep Q-networks (DQN), policy gradients, and actor-critic methods. Developers gain insights into building and training reinforcement learning agents using frameworks like OpenAI Gym and TensorFlow Agents.
  • Model Deployment and Productionization: In the final section, developers learn about best practices for deploying and operationalizing AI models in production environments. Topics include model serialization, containerization, model serving, scalability, monitoring, and model versioning. Tools such as Docker, Kubernetes, TensorFlow Serving, and Apache Kafka are explored to ensure smooth integration of AI models into production systems.

Roles and Responsibilities of Artificial Intelligence Training

  • Data Preprocessing and Feature Engineering: AI developers are responsible for collecting, cleaning, and preprocessing data to prepare it for model training. They perform tasks such as data normalization, scaling, imputation, and feature extraction to ensure that input data is suitable for machine learning algorithms.
  • Model Selection and Development: AI developers select appropriate machine learning or deep learning models based on the project requirements and data characteristics. They design, implement, and train AI models using frameworks like TensorFlow, PyTorch, scikit-learn, or Keras, fine-tuning model parameters and hyperparameters for optimal performance.
  • Algorithm Implementation and Optimization: AI developers implement machine learning algorithms and deep learning architectures to solve specific tasks such as classification, regression, clustering, sequence prediction, or anomaly detection. They optimize algorithms for scalability, efficiency, and accuracy, leveraging parallel computing, GPU acceleration, and distributed training techniques.
  • Model Evaluation and Validation: AI developers evaluate the performance of AI models using appropriate metrics and validation techniques such as cross-validation, holdout validation, or bootstrapping. They analyze model outputs, diagnose errors, and iteratively refine models to improve predictive performance and generalization ability.
  • Deployment and Integration: AI developers deploy trained models into production environments, integrating them with existing systems, applications, or workflows. They develop APIs, microservices, or batch processing pipelines for model inference, ensuring real-time or batch predictions as required by the business.
  • Monitoring and Maintenance: AI developers monitor the performance and behavior of deployed models in production, detecting drift, degradation, or anomalies in model performance. They implement monitoring dashboards, alerts, and logging mechanisms to track model performance metrics, data quality issues, and system failures.

Top Companies Hire Artificial Intelligence Professionals

  • Apple: Apple integrates AI capabilities into its products and services, including Siri (voice assistant), facial recognition (Face ID), image processing (Photos app), and predictive typing (QuickType keyboard). The company focuses on AI-driven innovation in consumer electronics, software development kits (Core ML), and autonomous vehicles.
  • IBM: IBM is a pioneer in AI research and development, offering a range of AI-powered solutions and services through its Watson AI platform. IBM's AI initiatives cover areas such as cognitive computing, predictive analytics, natural language processing, and AI-powered business applications across industries.
  • Amazon: Amazon leverages AI across its e-commerce platform, cloud services (Amazon Web Services), logistics operations, and smart devices (e.g., Amazon Alexa). The company invests heavily in AI technologies for product recommendations, personalized marketing, inventory management, and fulfillment optimization.
  • Microsoft: Microsoft is a major player in AI research and development, offering AI-powered solutions and services through its Azure cloud platform, Office 365 suite, and cognitive services. Microsoft's AI initiatives span areas such as machine learning, natural language understanding, computer vision, and conversational AI.
  • Facebook: Facebook applies AI techniques to enhance user experience, content moderation, ad targeting, and social networking features across its platforms (Facebook, Instagram, WhatsApp). The company invests in AI research through its AI Research (FAIR) division and develops AI-driven products like Facebook Marketplace and Oculus VR.
  • Netflix: Netflix leverages AI and machine learning to personalize content recommendations, optimize video streaming quality, and enhance user engagement on its streaming platform. The company invests in AI research to analyze viewer preferences, predict content consumption patterns, and improve content discovery algorithms.
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Top Skills You Will Gain
  • Deep Learning
  • Machine Learning
  • Neural Networks
  • Computer Vision
  • Data Mining
  • Bayesian Networks

Artificial Intelligence Course Key Features 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry Artificial Intelligence Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Companies Placement

Our Artificial Intelligence Training in Chennai is designed to significantly enhance recruitment efforts, ensuring that top companies find highly skilled professionals capable of implementing and optimizing AI solutions. Graduates from our program can expect to receive competitive compensation packages, with our robust placement support system facilitating pathways to significant salary growth. We collaborate with leading industry partners to provide our students with exclusive opportunities for career advancement, ensuring they are positioned for success in the rapidly evolving field of AI.
  • Designation
  • Annual Salary
    Hiring Companies
  • 3.24L
    Min
  • 7.5L
    Average
  • 13.5L
    Max
  • 4.50L
    Min
  • 8.5L
    Average
  • 16.5L
    Max
  • 4.0L
    Min
  • 8.5L
    Average
  • 14.5L
    Max
  • 5.24L
    Min
  • 6.5L
    Average
  • 12.5L
    Max

Training Options

One to One Training

₹23000₹ 18000

  • Exclusive one-on-one sessions for personalized skill development.
  • Latest version curriculum is provided by industrial professionals.
  • Get industry-recognized certification with placement assistance.
  • Lifetime Access to Study Materials, Videos & Top MNC Interview Question.
  • Work on multiple Industry-specific projects to enhance your portfolio.

Online Training

₹21000₹ 16000

  • preferred
  • Schedule your sessions at your preferred timings for maximum convenience.
  • Lifetime access to high-quality self-learning and live online class recordings.
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of training available.
  • Design your own course content based on your project requirements.
  • Comprehensive certification guidance for your career advancement.
  • Get 100% Job-oriented Training With Dedicated Placement Support.
  • Receive 24x7 assistance and support to maximize your learning experience.

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
12500 ₹4500

Artificial Intelligence Course Curriculum

Trainers Profile

At Learnovita, our Artificial Intelligence course is led by certified professionals who possess extensive industry experience and currently hold positions at renowned multinational corporations. Our instructors are dedicated to imparting advanced knowledge and industry-standard practices in AI, ensuring that students are equipped with the skills necessary to excel in today's competitive job market. With their real-world insights and hands-on expertise, our trainers provide a comprehensive learning experience that bridges the gap between theoretical concepts and practical application, preparing students for a successful career in AI.

Syllabus of Artificial Intelligence Training in Chennai Download syllabus

  • History and Evolution of AI
  • Basic Concepts and Definitions
  • Types of AI: Narrow vs General AI
  • Applications of AI in Various Fields
  • Ethical Considerations in AI
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Performance Metrics in Machine Learning
  • Neural Networks and Deep Learning
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Autoencoders and Generative Adversarial Networks (GANs)
  • Applications of Deep Learning
  • Text Preprocessing and Feature Extraction
  • Word Embeddings
  • Sentiment Analysis and Text Classification
  • Machine Translation and Language Generation
  • Image Processing Techniques
  • Object Detection and Recognition
  • Image Segmentation
  • Applications of Computer Vision
  • Markov Decision Processes (MDPs)
  • Q-Learning and Policy Gradient Methods
  • Deep Reinforcement Learning
  • Applications in Robotics and Gaming
  • Ethical Issues in AI
  • Bias and Fairness in AI Systems
  • Transparency and Accountability
  • Regulations and Guidelines
  • AI Adoption in Business
  • Use Cases across Industries
  • Impact on Jobs and Workforce
  • Challenges and Opportunities
  • Future Trends in AI
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Industry Projects

Project 1
Medical Diagnosis Using AI

Medical Diagnosis Using Artificial Intelligence Develop AI models to diagnose diseases from medical images or patient data, enhancing accuracy and speed in healthcare.

Project 2
Autonomous Driving Systems

Autonomous Driving Systems Design Artificial Intelligence algorithms for self-driving cars to improve safety and navigation through real-time decision-making.

Project 3
Natural Language Processing for Chatbots

Implement AI to enhance chatbot interactions by understanding and generating human-like responses, improving user experience and efficiency.

Mock Interviews

  • Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
  • Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!

How Learnovita Mock Interview Works?

Artificial Intelligence Training Objectives

  • Machine Learning Frameworks
  • Data Visualization Tools
  • Data Preprocessing Tools
  • Model Deployment Platforms
  • Natural Language Processing
  • Machine Learning Fundamentals
  • Statistical Learning Methods
  • Deep Learning
  • Natural Language Processing
Undergoing Artificial Intelligence (AI) training offers numerous benefits and opportunities for both personal and professional growth. Undergoing AI training is a valuable investment in your future, enabling you to seize opportunities, drive innovation, and make a meaningful impact in the exciting and rapidly evolving field of artificial intelligence.
Yes, The prerequisites for enrolling in an Artificial Intelligence (AI) course can vary depending on the specific course curriculum, level of difficulty, and intended audience. online courses often provide introductory materials or prerequisite modules to help students bridge any knowledge gaps before diving into the core AI content.
Artificial Intelligence (AI) is incredibly important in today's job market and has become a key driver of innovation, growth, and competitiveness across industries. AI expertise are well-positioned to pursue rewarding career opportunities, drive innovation, and make a significant impact in the rapidly evolving field of AI and technology.
  • Technology
  • Healthcare
  • Finance
  • Manufacturing
  • Retail and E-commerce
The future scope of Artificial Intelligence (AI) is incredibly promising and spans a wide range of domains, industries, and applications. the power of AI responsibly and ethically, we can unlock new possibilities, address complex challenges, and create a more prosperous and equitable future for humanity.
Artificial Intelligence (AI) training equips individuals with a diverse set of skills that are valuable in various industries and domains.AI skills through training, you'll be well-equipped to pursue diverse career opportunities and make meaningful contributions in the rapidly evolving field of Artificial Intelligence.
  • Video Lectures
  • Hands-on Labs
  • Textbooks
  • Online Resources
Yes, as part of our Artificial Intelligence training, students get to work on real-world projects. Many Artificial Intelligence (AI) training programs offer students the opportunity to work on real-world projects as part of their curriculum. These projects provide hands-on experience and practical exposure to applying AI techniques and technologies to solve real-world problems and challenges.
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Exam & Certification

  • IBM AI Engineering Professional Certificate
  • AWS Certified Machine Learning Specialty
  • Intel AI Developer Nanodegree Program
  • Google AI Developer Certification
Learnovita's Artificial Intelligence certification offers several benefits that can enhance your knowledge, skills, and career prospects in the field of AI. AI or looking to advance your career to the next level, Learnovita's certification can help you achieve your goals and unlock new opportunities in the exciting world of Artificial Intelligence.
Yes, obtaining an Artificial Intelligence certification can greatly increase your chances of securing a job.While obtaining an Artificial Intelligence (AI) certification can significantly enhance your knowledge, skills, and credibility as an AI professional.Pairing your certification with relevant experience, continuous learning, networking, and a proactive job search strategy can maximize your chances of securing a rewarding job in AI.
The certification equips you with advanced skills in AI, machine learning, and deep learning. This comprehensive knowledge base makes you proficient in designing, implementing, and optimizing AI solutions, which is highly valued in the tech industry.obtaining an AI certification, you not only enhance your technical skills but also improve your professional prospects, positioning yourself as a valuable asset in the dynamic field of artificial intelligence.
  • Machine Learning Engineer
  • AI Research Scientist
  • AI Product Manager
  • AI Consultant

Recently Placed Students

Artificial Intelligence Online 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, HCL, 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 PSI 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 Online.
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 Online Course 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 Online batch to 5 or 6 members.
The average annual salary for Artificial Intelligence Online Professionals in India is 4 LPA to 7 LPA.
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