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Keras AI Training in Chennai

Rated 5 out of 5

Infibee Technologies offers India’s No.1 Keras AI Training in Chennai with practical learning, industry-focused guidance, and global certification support.

Kickstart your career with our Keras AI Course in Chennai is designed by 11+ years of Industry experienced experts through case studies, real time projects and assignments. With experienced trainers, affordable course fees, mock projects, resume preparation, interview preparation, placement training, and lifetime access to recorded live-class sessions, learners can build practical knowledge through structured and project-based training.

Join our Keras AI Training Institute in Chennai and start your career opportunities in the high paying job opportunities in top-tier companies.

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Keras AI Course Overview

Keras is a deep learning framework that offers a developer-friendly interface to create, train, validate, and deploy the neural network models. It works with modern machine-learning backends and helps developers move from experimentation to practical AI applications with relatively concise Python code. The Keras AI Course in Chennai is designed to help students and professionals understand the fundamentals of deep learning while gaining hands-on experience with model development and AI workflows.

The purpose of the course is to develop practical skills in areas such as neural networks, image classification, computer vision, natural language processing, model training, evaluation, optimization, and deployment. It is also possible for the learners to understand how Keras is applied to design artificial intelligence and machine learning-based solutions in various fields.

Our Keras AI Training in Chennai will benefit Python programmers, software engineers, data scientists, machine learning practitioners, students, and professionals moving towards artificial intelligence. Through project-oriented activities, participants will be able to relate theoretical concepts to practical applications.

Course Topics Covered Applications Tools & Technologies
Introduction to Keras and Deep Learning AI model development Keras, Python
Keras Sequential and Functional APIs Neural-network applications Keras APIs
Tensors and Data Handling Data preparation NumPy, TensorFlow
Neural Networks and Dense Layers Classification and prediction Keras, TensorFlow
Model Training and Evaluation Machine-learning workflows Optimizers, Loss Functions, Metrics
Convolutional Neural Networks Image classification CNN, Keras
Computer Vision Image recognition and object-related tasks OpenCV, Keras
Natural Language Processing Text classification and language applications NLP, Keras
Transfer Learning Image and AI model adaptation Pretrained Models
Model Optimization Improving model performance Callbacks, Regularization
Hyperparameter Tuning Model experimentation KerasTuner
Generative AI Fundamentals Generative AI applications Keras, Python
Model Saving and Loading AI model reuse Keras Model APIs
Model Deployment Production AI applications APIs, Cloud Platforms
Hands-on Projects Real-world AI solutions Python, Keras, TensorFlow

Why Choose Infibee Technologies for a Keras AI Course in Chennai?

  • Keras AI Training in Chennai
  • Practical Keras AI Learning
  • Industry-Focused Curriculum
  • Hands-On Deep Learning Exercises
  • Real-World AI Projects
  • Python-Based AI Development
  • Computer Vision Training
  • Natural Language Processing Concepts
  • Neural Network Development
  • Generative AI Fundamentals
  • Model Training and Evaluation
  • Project-Based Learning
  • Mock Project Experience
  • Resume Preparation
  • Interview Preparation
  • Placement Training
  • Career Guidance
  • Recorded Live-Class Sessions
  • Classroom Training Options
  • Online Training Options
  • Corporate Training Options
  • Self-Paced Learning Options
  • Structured Course Curriculum
  • Practical Programming Skills
  • AI Application Development
  • Deep Learning Model Development

Best Keras AI Training Institute in Chennai – Get Certified with Infibee Technologies

Located at the heart of Chennai, Infibee Technologies is a technology offering Keras AI Training Institute in Chennai designed to help learners develop practical skills across programming, artificial intelligence, machine learning, and related technologies. For those who are interested in enrolling in the training may be an organized learning process, which can cover Python programming, deep learning, neural network, model building, computer vision, NLP, and AI application development.

In case of Keras AI Course in Chennai, it can include practical programming, real-world applications, practical learning, and project-based training. The learners can learn how to utilize Keras APIs, build neural network models, train and evaluate models, try out different architectural approaches and learn about the applications of deep learning. An industry-focused curriculum can be a great way to establish links between theoretical fundamentals and practical AI development scenarios.

Furthermore, the Keras AI Classes in Chennai process can also include interview preparation and career advice, where the learners can learn about possible career paths in the field of AI engineering, machine learning, deep learning, computer vision, NLP, and Generative AI.

Trainer Experience

Infibee’s publicly available information does not independently verify a specific 12+ years industry-experience claim for Keras AI trainers, so this should be confirmed directly.

Real-Time Project Exposure

Practical projects help learners understand real-world AI agent development by applying Keras, Python, model training, data processing, and AI application concepts.

Certification / Company Background

Infibee Technologies provides technology training and certification support; learners should confirm the current certificate issuer, eligibility, and certification terms.

Affordable Course Fees

Infibee Technologies offers course fee options for Keras AI training, allowing learners to select a suitable program based on their training requirements.

Teaching Methodology

Instructor-led sessions combine practical demonstrations, hands-on exercises, projects, doubt clarification, mock interviews, and interview preparation for applied learning.

Certification

Learners completing the applicable Keras AI course may receive an Infibee course-completion certificate, subject to course requirements and the institute’s current certification terms.

Modes of Keras AI Training in Chennai

  • Classroom Training
  • Online Training
  • Corporate Training
  • Self-Placed Training

Global Certifications Available for Keras AI Training in Chennai

S.No. Certification Code Cost Certification Expiry
1 Google Professional Machine Learning Engineer Approximately ₹17,000 + applicable taxes 2 years
2 AWS Certified Machine Learning Engineer – Associate (ME1-C02, beta) Approximately ₹6,500 + applicable taxes 3 years

Who Can Join the Keras AI Course in Chennai?

The Keras AI Course in Chennai can be suitable for learners who want to build practical skills in deep learning and AI application development.

  • Python developers
  • Software developers
  • AI and machine-learning professionals
  • Data scientists
  • Deep-learning enthusiasts
  • Computer vision developers
  • NLP developers
  • Generative AI learners
  • Backend and full-stack developers
  • Students pursuing computer science or related degrees
  • Recent graduates with programming fundamentals
  • IT professionals transitioning into AI/ML
  • Professionals interested in neural networks and model development
  • Researchers exploring deep-learning frameworks
  • Professionals preparing for AI engineering roles

A basic understanding of Python, mathematics, machine learning, and programming can help learners progress through Keras-based deep-learning concepts more effectively.

Career Opportunities in Keras AI

Job Role Relevant Keras AI Skills
AI Engineer Deep learning, Python, Keras, AI application development
Machine Learning Engineer Model training, evaluation, optimization, deployment
Deep Learning Engineer Neural networks, CNNs, model architectures
Generative AI Engineer Transformers, generative models, model integration
Agentic AI Engineer AI agents, LLM workflows, tools and orchestration
Computer Vision Engineer CNNs, image classification, object detection
NLP Engineer Text processing, transformers, language models
LLM Engineer Model integration, fine-tuning, inference workflows
AI Application Developer Python, APIs, Keras models, application integration
MLOps Engineer Model deployment, monitoring, ML pipelines
AI Research Engineer Deep-learning experimentation and model development
AI Solutions Architect AI architecture, model integration, cloud deployment

Who’s Hiring Advanced Keras AI Professionals?

  • Google
  • Amazon
  • Spotify
  • Uber
  • Netflix
  • Waymo
  • YouTube

These organizations are represented in Keras’s official ecosystem materials as users or organizations associated with Keras. Their inclusion does not mean they currently have Keras-specific vacancies.

Can I Study Keras AI in Other Locations?

How to Register for the Keras AI Course in Chennai at Infibee Technologies?

Step 1: Contact Infibee Technologies

Enquire about the current Keras AI syllabus, course fees, schedules, training modes, and upcoming batches.

Step 2: Attend a Demo if Available

Explore the teaching approach, course curriculum, practical exercises, projects, and learning format through an available demo session.

Step 3: Complete Enrollment

Choose a suitable training option, complete the registration process, and begin your Keras AI learning journey.

Enroll Today: Unlock Your Keras AI Training in Chennai Potential

Contact Infibee Technologies, attend a demo if available, review the curriculum, and explore a suitable Keras AI Training in Chennai option for your goals. Build practical Retrieval-Augmented Generation skills through hands-on projects and structured learning. Strengthen your understanding of RAG, LLM integration, and AI application development for future career opportunities.

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Why People Choose Infibee ?

Upcoming Keras AI Batches

[dateshortCodeCi day=' monday ' ]
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' wednesday ' ]
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' Friday ' ]
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Keras AI Course Syllabus

Learn to build modern AI and deep learning applications using Keras, covering neural networks, computer vision, NLP, transformers, and Generative AI. Explore current 2026 concepts including Keras 3, transfer learning, multimodal AI, transformers, LLM fine-tuning, and model deployment.

  • AI, Machine Learning, and Deep Learning fundamentals
  • Introduction to Keras and Keras 3
  • Keras ecosystem and supported backends
  • Installing and configuring the development environment
  • Understanding tensors, models, and layers
  • Data collection and preparation
  • Data cleaning and preprocessing
  • Keras data loading and preprocessing utilities
  • Batching, shuffling, and augmentation
  • Building efficient input pipelines
  • Neural network architecture
  • Sequential and Functional APIs
  • Layers, activation functions, and loss functions
  • Optimizers and training workflows
  • Model compilation, training, and evaluation
  • Image classification fundamentals
  • Convolutional Neural Networks (CNNs)
  • Image augmentation and preprocessing
  • Transfer learning with pretrained models
  • Object detection and image segmentation concepts
  • Text preprocessing and tokenization
  • Text vectorization and embeddings
  • Text classification
  • RNNs, LSTMs, and sequence models
  • Building practical NLP applications
  • Transformer architecture fundamentals
  • Attention and self-attention
  • Encoder and decoder concepts
  • Working with transformer-based models
  • Building and fine-tuning modern NLP models
  • Generative AI fundamentals
  • Generative deep learning concepts
  • Working with language and vision models
  • Multimodal AI application concepts
  • Building AI-powered content generation workflows
  • Using pretrained models
  • Feature extraction and fine-tuning
  • Freezing and unfreezing model layers
  • Transfer learning for vision and NLP
  • Parameter and training optimization strategies
  • Model evaluation and performance metrics
  • Overfitting and regularization
  • Hyperparameter tuning
  • Model optimization and efficient inference
  • Deployment with Keras and supported serving environments
  • Designing an end-to-end AI solution
  • Combining preprocessing, modeling, and transfer learning
  • Training, evaluating, and optimizing the application
  • Preparing models for deployment
  • Final project implementation and presentation
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On Keras AI Projects

Enroll in our Keras AI classes, where our course focuses on providing high-quality training with a strong foundation in core concepts and a practical approach. Through exposure to current industry use cases and scenarios, participants will enhance their skills and gain the ability to execute real-time projects using best practice

Intelligent Image Classification System

  • Build an image classification application using Keras.
  • Develop a CNN-based model for image recognition.
  • Apply transfer learning using a pretrained vision model.
  • Evaluate and optimize the model for improved performance.

AI Sentiment Analysis & Text Classification

  • Build an NLP application for customer or social-media sentiment analysis.
  • Implement text preprocessing, vectorization, and embeddings.
  • Develop an LSTM or transformer-based classification model.
  • Create an application for real-time sentiment predictions.

Generative AI & Multimodal Assistant

  • Build an AI assistant using modern Keras-based model workflows.
  • Integrate language, image, or multimodal AI capabilities.
  • Implement contextual prompting and intelligent response generation.
  • Optimize and deploy the application for a practical AI use case.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
No data was found
Our Instructor
Name
Ms. Anitha
Experience
7+ Years
Specialized in
Keras, Keras 3, Deep Learning, Computer Vision, NLP, Transformers, Generative AI, Transfer Learning, and AI Model Deployment.
More Details
The instructor specializes in developing practical AI and deep learning solutions using Keras and modern neural network architectures. Training focuses on hands-on model development, computer vision, NLP, transformers, Generative AI, transfer learning, and optimization.

Keras AI Training Objectives

Our Best Keras AI Training aims to empower participants with comprehensive skills and practical knowledge in this field. Objectives include mastering core concepts, applying skills through real-world projects, critical thinking, and tackling professional challenges. This enhances career development and contributes to industry advancement.

Keras provides a high-level API that simplifies the process of building and training neural networks. Learners can start with simple models before progressing to advanced architectures and workflows. Basic Python and machine learning knowledge will make the learning process easier.

Yes, Keras continues to be used for developing and training deep learning models. Keras 3 supports multiple backends and provides APIs for modern machine learning workflows. It can be used for computer vision, NLP, Generative AI, and other deep learning applications.

Basic Python programming and fundamental machine learning concepts are recommended. Knowledge of arrays, functions, basic mathematics, and model-training concepts is useful. The training then progresses from basic Keras models to advanced AI applications.

Keras 3 is a multi-backend deep learning framework designed to provide a consistent high-level API. It can work with supported backends such as TensorFlow, JAX, and PyTorch. This allows developers to build Keras models while choosing an appropriate backend for their workflow.

Yes, Keras can be used to build image classification, object detection, and image segmentation solutions. It supports CNN architectures and pretrained models for transfer learning. These capabilities can be applied to applications ranging from image recognition to industrial vision.

Yes, Keras supports NLP workflows and transformer-based model development. Developers can build text classification, sequence-processing, and language-model applications. Keras can also be integrated with modern pretrained models and related AI libraries.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

Keras AI Career Opportunity

Keras AI is the most common programming language, and it works on all computers and mobile devices without needing to be upgraded. It is one of the highest-paying careers in the software development industry, and those with the Keras AI certification can earn an average of  8 LPA per year.

Annual Pay Scale
Placement Designation
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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Keras AI Training FAQ's

Infibee Keras AI Training offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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