Deep Learning with Keras Training in Gurgaon, Delhi

Deep Learning with Keras

New to deep learning? Start with this course, giving you the opportunity to build your first deep learning model using the popular Keras library.

Duration : 6 months Classes : 36 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

Step into the future of artificial intelligence with our hands-on course Deep Learning using Keras. Designed for aspiring AI engineers, data scientists, and developers, this program offers a practical and intuitive approach to building deep learning models using the high-level Keras API. Learners will explore the full spectrum of neural network architectures-from simple feedforward models to advanced convolutional and recurrent networks-while mastering the tools to train, evaluate, and deploy models efficiently. With real-world projects, interactive labs, and expert guidance, participants will gain the confidence to solve complex problems in computer vision, natural language processing, and predictive analytics. Whether you're new to deep learning or looking to sharpen your skills, this course empowers you to build intelligent systems with speed and precision.

Accelerate your journey into cutting-edge Artificial Intelligence with our focused course, Deep Learning using Keras. Keras, the high-level API of TensorFlow (and compatible with PyTorch/JAX), is the fastest and most intuitive path to building, experimenting with, and deploying sophisticated neural networks. This program bypasses complex low-level code, enabling you to focus entirely on architecture design, rapid prototyping, and model optimization. You will gain practical, hands-on expertise implementing key deep learning models-from Convolutional Neural Networks (CNNs) for image classification to Recurrent Neural Networks (RNNs) for sequence processing. Master the Keras Sequential and Functional API to build custom, complex models, and learn critical techniques like Transfer Learning and hyperparameter tuning, essential for developing production-ready AI solutions with unmatched speed and efficiency.

This course blends theory with hands-on practice to help you build intelligent systems that learn and adapt. Whether you're looking to break into AI or sharpen your DL/ML toolkit, this program delivers the skills and confidence to thrive.

Target Audience:-
-Developers and engineers with basic Python and ML knowledge
-Data analysts and scientists transitioning into DNNs
-Students and professionals preparing for AI-focused careers
-Tech enthusiasts eager to explore predictive modeling and automation
-Statisticians and Mathematicians

Program Outcomes:-
-Comprehend the fundamental mathematics and architecture of DNNs
-Design and implement Convolutional Neural Networks (CNNs) from scratch
-Build and train Recurrent Neural Networks (RNNs)
-Apply advanced techniques such as Transfer Learning, Generative Adversarial Networks (GANs), and Transformer architectures
-Efficiently utilize GPU resources and implement practices like data augmentation
-Apply DNN techniques to real-world business problems across industries

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

-You have hands on exp with Machine Learning / Hadoop technologies with a genuine interest in Deep Learning

- You need to know basic Python such as lists, dictionaries, loops, functions and classes

- You need to know basic differentiation

-You need to know basic algebra

....

NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Keras Foundations and Sequential Models
✔ The Keras Philosophy & Setup
✔ Keras Building Blocks
✔ The Sequential API
✔ Training and Evaluation
✔ Data Preprocessing with Keras/TensorFlow

Module 2: Advanced Network Architectures (The Functional API)
✔ Introduction to the Functional API
✔ Building Complex Topologies
✔ Multi-Input and Multi-Output Models
✔ Shared Layers and Reusability
✔ Custom Layers

Module 3: Convolutional Neural Networks (CNNs) in Keras
✔ Core CNN Layers
✔ Building a Classification CNN
✔ Image Augmentation and Data Generation
✔ Transfer Learning with Keras Applications
✔ Object Localization Concepts

Module 4: Sequence Models (RNNs) and Optimization
✔ Introduction to Sequence Layers
✔ Advanced Recurrent Layers
✔ Sequence-to-Sequence (Seq2Seq)
✔ Keras Callbacks and Hyperparameter Tuning
✔ Regularization and Batch Normalization

Module 5: Deployment, Customization, and Ecosystem
✔ Saving and Loading Models
✔ Custom Training Loops
✔ Introduction to TensorFlow Tools

Module 6: Advanced Architectures and Techniques
✔ Autoencoders for dimensionality reduction
✔ Generative models with Variational Autoencoders (VAEs)
✔ Introduction to GANs using Keras
✔ Attention mechanisms and Transformer basics

Module 7: Capstone Project
✔ Project Scope
✔ Choose a real-world dataset and problem domain
✔ Design, train, and evaluate a deep learning model
✔ Document and present findings with visualizations

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.