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Join the cohortGet instant access (self-paced)
Real-time Use cases
24/7 Lifetime Support
Certification Based Curriculum
Flexible Schedules
One-on-one doubt clearing
Career path guidance
Become job-ready by mastering all the core essentials of TensorFlow framework and developing deep neural networks. This training also provides two real-time projects to sharpen your skills and knowledge, and clear the TensorFlow Certification Exam. Enroll now and get certified.
Course Coverage
YOUR LEARNER JOURNEY - From Enrolment to Employment
Six guided stages take you from your first training class to your first offer — each one backed by a specific MindMajix support service.
Pick live online or self-paced, and set up a free TensorFlow Instance so you practice from day one.
Master TensorFlow concepts with 30 hrs of current-release content, applying every concept in hands-on labs and real-time projects throughout.
Clear the assessments for your shareable MindMajix completion certificate. Modules map to official TensorFlow exam topics for exam-aligned prep.
Turn skills into a profile recruiters notice — build an interview-ready resume and a strong LinkedIn presence using proven TensorFlow templates.
Walk in already rehearsed. Sit structured mock-interview rounds with experienced SMEs and get focused feedback on your TensorFlow skills and scenario questions.
Apply with confidence using job-search assistance and referrals to hiring partners across India & the USA. (Career support provided; placement not guaranteed.)
Start the journey today - choose the format that fits you.
You will be exposed to the complete TensorFlow Trainingcourse details in the below sections.
Deep Learning: A revolution in Artificial Intelligence
Limitations of Machine Learning
Discuss the idea behind Deep Learning
Advantage of Deep Learning over Machine learning
3 Reasons to go Deep
Real-Life use cases of Deep Learning
Scenarios where Deep Learning is applicable
The Math behind Machine Learning: Linear Algebra
Scalars
Vectors
Matrices
Tensors
Hyperplanes
The Math Behind Machine Learning: Statistics
Probability
Conditional Probabilities
Posterior Probability
Distributions
Samples vs Population
Resampling Methods
Selection Bias
Likelihood
Review of Machine Learning Algorithms
Regression
Classification
Clustering
Reinforcement Learning
Underfitting and Overfitting
Optimization
Convex Optimization
Defining Neural Networks
The Biological Neuron
The Perceptron
Multi-Layer Feed-Forward Networks
Training Neural Networks
Backpropagation Learning
Gradient Descent
Stochastic Gradient Descent
Quasi-Newton Optimization Methods
Generative vs Discriminative Models
Activation Functions
Linear
Sigmoid
Tanh
Hard Tanh
Softmax
Rectified Linear
Loss Functions
Loss Function Notation
Loss Functions for Regression
Loss Functions for Classification
Loss Functions for Reconstruction
Hyperparameters
Learning Rate
Regularization
Momentum
Sparsity
Defining Deep Learning
Defining Deep Networks
Common Architectural Principals of Deep Networks
Reinforcement Learning application in Deep Networks
Parameters
Layers
Activation Functions – Sigmoid, Tanh, ReLU
Loss Functions
Optimization Algorithms
Hyperparameters
Summary
What is TensorFlow?
Use of TensorFlow in Deep Learning
Working of TensorFlow
How to install Tensorflow
HelloWorld with TensorFlow
Running a Machine learning algorithms on TensorFlow
Introduction to CNNs
CNNs Application
Architecture of a CNN
Convolution and Pooling layers in a CNN
Understanding and Visualizing a CNN
Transfer Learning and Fine-tuning Convolutional Neural Networks
Introduction to RNN Model
Application use cases of RNN
Modelling sequences
Training RNNs with Backpropagation
Long Short-Term memory (LSTM)
Recursive Neural Tensor Network Theory
Recurrent Neural Network Model
Restricted Boltzmann Machine
Applications of RBM
Collaborative Filtering with RBM
Introduction to Autoencoders
Autoencoders applications
Understanding Autoencoders
Variational Autoencoders
Deep Belief Network
Mindmajix offers advanced TensorFlow interview questions and answers along with TensorFlow resume samples. Take a free sample practice test before appearing in the certification to improve your chances of scoring high.
Our TensorFlow Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.
Passing TensorFlow Quizzes & Assessment exams is mandatory to attain the TensorFlow Course Completion certificate
Training OptionsBoth options cover the full curriculum and include most of the certification topics
Learn anytime, at your own pace — complete the course in weeks or months.
Get Pricing
Real-time classes with a certified expert — ask questions, get instant feedback, and walk away job-ready
07:30 AM IST · Weekend · Only 4 seats left
30 hrs · Live online · Recordings included
3 weekends · 30 hrs total
2 weeks · 30 hrs total
3 weekends · 30 hrs total
2 weeks · 30 hrs total
Need a different time? We offer and at any timezone. Contact a course advisor to set one up.
Empower your team with new skills to Enhance their performance and productivity.
We believe in transparency. Here's how MindMajix stacks up against typical TensorFlow training providers so you can compare value, support, and practical depth clearly.
TensorFlow Training
5026 learnersGeneric TensorFlow Training Providers
Updated to the latest exam pattern with real-world modules, guided labs, and implementation depth.
Always currentOften outdated basics with limited real-world coverage and shallow practical context.
Frequently outdatedSandbox-style practice with guided exercises, projects, and replay-friendly learning support included.
Included at no extra costSlides-first teaching with restricted lab time or paid add-on practical access.
Limited / paid extraCertified trainers with real implementation experience and structured teaching support.
Verified expertiseTrainer quality varies widely and may depend on availability rather than specialization.
Varies widelyA stable trainer journey with consistent delivery, doubt support, and batch continuity.
Consistent trainerTrainer substitutions can happen mid-course and interrupt learning continuity.
Frequent changesOngoing help through trainer sessions, community support, and guided clarification after class.
Extended supportSupport often stops after sessions, leaving little structured post-class help.
No post-training helpResume reviews, mock interviews, hiring guidance, and practical interview preparation support.
Active placement supportPlacement support is often limited to generic guidance or an email list.
Mostly nominalStructured mock interview rounds with domain-focused feedback before interviews.
IncludedStudents are usually expected to prepare independently without guided mock rounds.
Not includedWeekday, weekend, and flexible learning paths with guidance on the best fit.
Fully flexibleFixed schedules with fewer alternatives once a batch begins.
Limited optionsPractice questions, revision guidance, and exam-focused preparation aligned to current objectives.
Comprehensive prepGeneric question banks that may not reflect the latest exam priorities.
Outdated mock testsStrong value with training, support, and practical learning included as a single package.
Best value for inclusionsLower headline pricing can still lead to add-on costs for labs, support, or extras.
Hidden add-on costsLong-term access to recordings and study materials for revision after batch completion.
Lifetime-style accessAccess is often time-limited and may not include refreshed supporting material.
Time-limited accessUpdated to the latest exam pattern with real-world modules, guided labs, and implementation depth.
Always currentOften outdated basics with limited real-world coverage and shallow practical context.
Frequently outdatedSandbox-style practice with guided exercises, projects, and replay-friendly learning support included.
Included at no extra costSlides-first teaching with restricted lab time or paid add-on practical access.
Limited / paid extraCertified trainers with real implementation experience and structured teaching support.
Verified expertiseTrainer quality varies widely and may depend on availability rather than specialization.
Varies widelyA stable trainer journey with consistent delivery, doubt support, and batch continuity.
Consistent trainerTrainer substitutions can happen mid-course and interrupt learning continuity.
Frequent changesOngoing help through trainer sessions, community support, and guided clarification after class.
Extended supportSupport often stops after sessions, leaving little structured post-class help.
No post-training helpResume reviews, mock interviews, hiring guidance, and practical interview preparation support.
Active placement supportPlacement support is often limited to generic guidance or an email list.
Mostly nominalStructured mock interview rounds with domain-focused feedback before interviews.
IncludedStudents are usually expected to prepare independently without guided mock rounds.
Not includedWeekday, weekend, and flexible learning paths with guidance on the best fit.
Fully flexibleFixed schedules with fewer alternatives once a batch begins.
Limited optionsPractice questions, revision guidance, and exam-focused preparation aligned to current objectives.
Comprehensive prepGeneric question banks that may not reflect the latest exam priorities.
Outdated mock testsStrong value with training, support, and practical learning included as a single package.
Best value for inclusionsLower headline pricing can still lead to add-on costs for labs, support, or extras.
Hidden add-on costsLong-term access to recordings and study materials for revision after batch completion.
Lifetime-style accessAccess is often time-limited and may not include refreshed supporting material.
Time-limited accessIndustry-focused delivery with stronger support, consistency, and practical learning value.
Lower upfront pricing can hide trade-offs in labs, trainer continuity, and support quality.
Learnt AI & Deep Learning with TensorFlow at Mindmajix. It was good learning experience. Trainer was excellent. Every concept was clearly understood. Overall, it was a good experience with Mindamajix.
Student
On-Job Support Service
Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:
