Keras AI Training in Delhi

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25 hrs of E-Learning Videos
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Keras AI Course Overview

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Upcoming Keras AI Batches

21-09-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
23-09-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
18-09-2026
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"
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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.

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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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I enrolled in the SAP ANALYTICS CLOUD course at Infibee Technologies and the classes were very well structured. The trainers possess industry experience and they delivered effective assistance with both resume creation and job placement services. This institution serves as the topmost educational center for SAP training courses.
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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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