Deep Learning with TensorFlow Training in Gurgaon, Delhi

Deep Learning with TensorFlow

Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow

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

Overview
Curriculum
Pre-requisite
Review

Master the industry-standard platform for production-scale AI with our specialized course, "Deep Learning using TensorFlow." TensorFlow, developed by Google, is globally recognized for its robust deployment capabilities, scalability, and powerful ecosystem (TensorBoard, TF Serving). This program will immerse you in the TensorFlow environment, teaching you to leverage its features for building, training, and deploying high-performance Deep Neural Networks (DNNs). You will move beyond basic concepts to master the TensorFlow 2.x API, focusing on efficient use of the Keras API for rapid prototyping, and the lower-level features for customization. Gain the essential skills needed to implement CNNs, RNNs, and custom architectures, ensuring your models are not only accurate but also easily deployable across various devices and platforms, making you highly valuable in any enterprise setting.

Embark on a transformative journey into AI with our comprehensive course Deep Learning using TensorFlow. This hands-on program empowers learners to build, train, and deploy sophisticated neural networks using TensorFlow-Google's powerful open-source deep learning framework. From foundational concepts to advanced architectures, participants will explore how to design scalable models for real-world applications in computer vision, natural language processing, and time-series forecasting. With TensorFlow's flexible APIs and production-ready tools, learners will gain the skills to experiment rapidly, optimize performance, and deploy models across platforms and devices. Whether you're launching your AI career or advancing your expertise, this course delivers the practical knowledge and confidence to build intelligent systems that make an impact.

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:-
-Master the TensorFlow environment
-Utilize TensorFlow's advanced features like tf.data
-Implement key architectures including CNNs, RNNs, LSTMs, and Transformers
-Apply optimization techniques, regularization, and learning rate scheduling
-Visualize training progress and debug models using TensorBoard and other tools
-Solve real-world problems in image classification, text generation, and forecasting
-Deploy TensorFlow models at scale using TensorFlow Serving

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: TensorFlow and Keras Foundations
✔ TensorFlow 2.x Architecture
✔ Tensor Operations and NumPy Bridge
✔ Model Compilation and Training
✔ Data Loading with tf.data
✔ Basic Dense Networks

Module 2: Convolutional Neural Networks (CNNs)
✔ Core CNN Layers
✔ Building a Classification CNN
✔ Image Augmentation and Data Generation
✔ Transfer Learning with Keras Applications
✔ Functional API for Complex Models
✔ Visualization and Debugging

Module 3: Sequential Models (RNNs and NLP)
✔ Text Preprocessing
✔ Recurrent Neural Networks (RNNs)
✔ Advanced Gated Architectures
✔ Attention and Transformers (Conceptual)
✔ Time Series Forecasting Module 4: Optimization, Customization, and Debugging
✔ Regularization and Normalization
✔ Keras Callbacks
✔ Custom Training with tf.GradientTape
✔ Visual Debugging with TensorBoard Module 5: Deployment and Productionizing
✔ Model Persistence
✔ Scalable Deployment
✔ Optimization for Edge Devices
✔ Performance Optimization
✔ Integration with cloud platforms

Module 6: 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.