Deep Learning with TensorFlow Training — brochure
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Assure Success
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Assure SuccessCourse brochure 2026Build, train and deploy deep learning models with TensorFlow and Keras in 28 live hours
Course fee
₹35,499₹55,999
Enroll online at assuresuccess.in or call +91 93517 82674
Scan to view the course and enroll · Fees as on 29 Oct 2026
About the course
Deep Learning with TensorFlow focuses on the TensorFlow and Keras ecosystem for building and deploying neural networks. If you have learned the basics of machine learning and want a production-oriented toolkit with strong mobile and edge options, this course gives you a practical, project-driven route.
You work through the Keras Sequential, Functional and subclassing APIs, build efficient data pipelines with tf.data, train convolutional and recurrent models, apply transfer learning from pretrained networks, and write custom training loops with GradientTape. The final modules cover saving models, serving them with TensorFlow Serving, converting them to TensorFlow Lite for mobile and edge devices, and tracking experiments with TensorBoard.
A note on certification: Google's TensorFlow Developer Certificate exam was suspended in 2024 and is not currently available, so this course does not prepare you for an external exam. You receive an Assure Success course-completion certificate after finishing a capstone.
Deployment-oriented
You learn to take a model from notebook to a serving or on-device format.
Honest certification picture
We tell you plainly that the TensorFlow Developer exam is suspended, so you are not misled about credentials.
Project-driven
Each concept is anchored in a small project.
Maintainable skills
Many companies still run TensorFlow and Keras models in production.
Curriculum
TensorFlow and Keras Basics
Get productive with the framework.
Data Pipelines with tf.data
Feed models efficiently.
Training Well
Train stable, generalising models.
Convolutional Networks and Transfer Learning
Solve image problems.
Text and Sequence Models
Handle text and time series.
Custom Models and Training Loops
Go beyond model.fit.
Performance and Scale
Train faster.
Deployment
Ship models.
Capstone Project
Deliver a complete TensorFlow solution.
Your certificate
Enrol in a scheduled live batch and prepare a Python and Colab environment
Attend sessions and complete the project exercises
Complete the capstone and present it for review
Meet the attendance and assessment criteria for the batch
Receive your Assure Success course-completion certificate
Keras model building
Create models with the Sequential, Functional and subclassing APIs.
Input pipelines
Use tf.data to load, augment, cache and prefetch data efficiently.
Computer vision
Train CNNs and apply transfer learning with pretrained backbones.
Text and sequence models
Build embeddings, LSTM and transformer-style models for text and series.
Custom training
Write custom losses, metrics and GradientTape training loops.
Callbacks and tracking
Use checkpointing, early stopping and TensorBoard to manage training.
Performance basics
Apply mixed precision and batch-size tuning to speed up training.
Deployment
Export models for TensorFlow Serving and convert them to TensorFlow Lite.
Your future
Careers after this course
Deep Learning Engineer₹7–18 LPA (approx.)
Builds and deploys neural network models in TensorFlow/Keras.
Machine Learning Engineer₹7–20 LPA (approx.)
Owns the training-to-serving pipeline for ML products.
Computer Vision Engineer₹7–18 LPA (approx.)
Develops image-based models, including on-device inference.
Edge AI / Mobile ML Developer₹6–15 LPA (approx.)
Brings compact models to phones and embedded devices using TensorFlow Lite.
Expert trainers
Certified instructors with real project experience.
Exam practice
Practice questions and mock tests.
Flexible batches
Weekday and weekend batches.
Exam support
Help with eligibility, vouchers and booking.
Ready to get certified?
Course fee ₹35,499. Enroll at assuresuccess.in/course/deep-learning-with-tensorflow
📞 +91 93517 82674✉️ info@assuresuccess.in💬 WhatsApp +91 93517 82674
Assure Success. Exam details are set by the certifying body and may change — check the official website before booking. All trademarks belong to their owners.