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Deep Learning with Tensorflow Online Course

(4.9) 9854 Ratings
  • Join the Deep Learning with TensorFlow Online Training to master neural networks and AI model development.
  • Learn core topics such as TensorFlow Basics, Convolutional Neural Networks (CNNs) and Model Optimization.
  • Gain hands-on experience through real-time projects, image recognition, NLP applications, and AI model deployment.
  • Flexible Learning Options: Choose from Weekday, Weekend, or Fast-Track batches designed to fit your schedule.
  • Learn from experienced trainers with industry expertise in Deep Learning and AI model development.
  • Career Support including Resume Building, Certification Guidance, Interview Preparation, and Placement Assistance.

Course Duration

55+ Hrs

Live Project

3 Project

Certification Pass

Guaranteed

Training Format

Live Online (Expert Trainers)
WatchLive Classes
Guide Me Request a Call
Course fee at
₹16000

₹21000

11258+

Professionals Trained

10+

Batches every month

3214+

Placed Students

258+

Corporate Served

What You'll Learn

Understand deep learning basics: neural networks, activation functions, and backpropagation.

Deep Learning with Tensorflow Online Training Build and train models with TensorFlow, Keras, and eager execution.

Deep Learning with Tensorflow Online Course convolutional neural networks (CNNs) and their applications in image recognition.

Implement recurrent neural networks (RNNs) and LSTM architectures for sequence data.

Design and optimize deep learning models using regularization, dropout, and batch normalization.

Handle large datasets and use data augmentation and transfer learning techniques.

An Comprehensive Overview of Deep Learning with Tensorflow Course

Deep Learning with Tensorflow Online Training offers a hands-on approach to mastering artificial neural networks and advanced model architectures using TensorFlow. This Deep Learning with Tensorflow Certification Course combines theoretical foundations with practical exercises on real-world datasets, including image, text, and speech data. Deep Learning with Tensorflow Online Course Real-world labs and mini-projects empower you with skills for careers in AI research, computer vision, natural language processing, and data science.

Future Trends for Deep Learning with Tensorflow Training:

  • Increased integration of deep learning with edge computing and IoT devices.
  • Growth of transformer models and attention mechanisms in NLP and beyond.
  • Advancements in explainable AI for model interpretability and trustworthiness.
  • Efficient model compression and quantization for deployment on mobile devices.
  • Expansion of self-supervised and unsupervised deep learning methods.
  • Use of federated learning for privacy-preserving AI applications.
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Deep Learning Course with TensorFlow Training Objectives

  • Tensorflow is the most popular and apparently best Deep Learning Framework out there. Tensorflow can be used to achieve all of these applications. The reason for its popularity is the ease with which developers can build and deploy applications.
  • Yes. It's worth to study. Without Tensorflow we can't train the models in deeplearning.
  • Maybe Its an Big Advantage to your future profession.
  • Deep practical knowledge & Hands-on lab.
  • Real-time project use cases & scenarios from the various Industries.
  • Mock Tests and discussing various questions.
  • LearnoVita has been actively involved in 100% Job Placement Assistance as a value-added service in the Technical Program. With the backup of an advanced training curriculum and real-time business projects, we have a very consistent and growing Job Placement and Track Record.
  • Market entry to various countries and jobs in major corporate.
  • Immediate job opportunities after Completion of training.
  • Active Coordination with students from the stage of preparing a professional CV/Resume to attend Interviews and securing a Job.
  • Preliminary Preparation ensures that our students are able to perform confidently in Interviews even it was their First Interview.
  • You must be comfortable with variables, linear equations, graphs of functions, histograms, and statistical means.
  • You should be a good programmer. Ideally, you should have some experience programming in Python because the programming exercises are in Python.
  • However, it is not necessary for you to learn the machine learning algorithms that are not a part of machine learning in order to learn deep learning. Instead, if you want to learn deep learning then you can go straight to learning the deep learning models if you want to.
  • TensorFlow is an open-source library developed by Google primarily for deep learning applications. It also supports traditional machine learning. TensorFlow was originally developed for large numerical computations without keeping deep learning in mind.
  • TensorFlow: Data and Deployment: DeepLearning.AI.
  • Advanced Machine Learning with TensorFlow on Google Cloud Platform: Google Cloud.
  • IBM AI Engineering: IBM.
  • Getting Started with Tensorflow 2: Coursera Project Network.
  • Build a strong foundation of deep learning
  • But only studying will never help you unless you apply the concepts practically. TensorFlow gives you that platform, and when you gain experience of using it, you'll understand what problems are encountered while designing models to solve real-world issues.
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Benefits of Deep Learning with Tensorflow Course

Deep Learning with Tensorflow Certification Course prepares you to build, train, and deploy neural network models for complex tasks like image classification, speech recognition, and natural language understanding. The Deep Learning with Tensorflow Course with Placement opens opportunities in AI engineering, data science, computer vision, and research roles. Deep Learning with Tensorflow Projects highlight your ability to solve real-world problems using state-of-the-art AI techniques.

  • Designation
  • Annual Salary
    Hiring Companies
  • 2.9L
    Min
  • 6.5L
    Average
  • 11.6L
    Max
  • 4.50L
    Min
  • 8.5L
    Average
  • 16.5L
    Max
  • 4.0L
    Min
  • 7.9L
    Average
  • 13.5L
    Max
  • 3.24L
    Min
  • 10.4L
    Average
  • 12.5L
    Max

About Your Deep Learning with Tensorflow Training

The Deep Learning Online Course covers the mathematical and computational foundations of neural networks, including gradient descent optimization and TensorFlow programming. The Deep Learning with Tensorflow Internship on applying these concepts to solve practical AI problems, build scalable models, and work with cutting-edge tools and frameworks.

Top Skills You Will Gain
  • Neural network fundamentals
  • TensorFlow
  • CNNs for image processing
  • RNNs and LSTMs
  • Model regularization
  • Data augmentation
  • Hyperparameter tuning
  • Deployment using TensorFlow Serving

12+ Deep Learning with Tensorflow Tools

Online Classroom Batches Preferred

Weekdays (Mon - Fri)
03 - Nov - 2025
08:00 AM (IST)
Weekdays (Mon - Fri)
05 - Nov - 2025
08:00 AM (IST)
Weekend (Sat)
08 - Nov - 2025
11:00 AM (IST)
Weekend (Sun)
09 - Nov - 2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

Why Deep Learning with Tensorflow Course From Learnovita? 100% Money Back Guarantee

Deep Learning Course with TensorFlow Course Curriculam

Trainers Profile

Trainers are certified professionals with 10+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Deep Learning Course with TensorFlow Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Syllabus of Deep Learning Course with TensorFlow Course Download syllabus

  • 1. Introduction to Deep Learning
  • 2. Introduction to Numpy
  • 3. Introduction to Tensorflow and Keras
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  • 1. Solution of Equations, row and column Interpretation
  • 2. Vector Space Properties
  • 3. Partial Derivative of Polynomial and Two conditions for Local Minima
  • 4. Physical Interpretation of gradient (Direction of Maximum Change)
  • 5. Matrix Vector Multiplication
  • 6. EVD and interpretation of Eighen Vectors
  • 7. Linear Independence and Rank of Matrix
  • 8. Orthonormal Matrices, Projection Matrices, Vandemonde Matrix, Markov Matrix, Symmetric, Block Diagonal
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  • 1. Intuition behind Linear Regression, classification
  • 2. Grid Search
  • 3. Gradient Descent
  • 4. Training Pipeline
  • 5. Metrics ROC Curve, Precision Recall Curve
  • 6. Calculating Entropy
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  • 1. Evolution of Perceptrons, Hebbs Principle, Cat Experiment
  • 2. Single layer NN
  • 3. Tensorflow Code
  • 4. Multilayer NN
  • 5. Back propagation, Dynamic Programming
  • 6. Mathematical Take on NN
  • 7. Function Approximator
  • 8. Link with Linear Regression
  • 9. Dropout and Activation
  • 10. Optimizers and Loss Functions
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  • 1. 1D and 2D Convolution
  • 2. Why CNN for Images and speech?
  • 3. Convolution Layer
  • 4. Coding Convolution Layer
  • 5. Learning Sharpening using single convolution Layer in Tensor-Flow
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  • 1. Convolution
  • 2. Pooling
  • 3. Activation
  • 4. Dropout
  • 5. Batch Normalization
  • 6.Object Classification
  • 7. Creating Batch in Tensorflow and Normalize
  • 8. Training MNIST and CIFAR datasets
  • 9. Understanding a pre-trained Inception Architecture
  • 10. Input Augmentation Techniques for Images
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  • 1. Finetuning last layers of CNN Model
  • 2. Selecting appropriate Loss
  • 3. Adding a new class in the last Layer
  • 4. Making a model Fully Convolutional for Deployment
  • 5. Finetune Imagenet for Cats vs Dog Classification.
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  • 1. Different types of problem in Objects
  • 2. Difficulties in Object Detection and Localization
  • 3. Fast RCNN
  • 4. Faster RCNN
  • 5. YOLO v1-v3
  • 6. SSD
  • 7. MobileNet
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  • 1. Image Compression Simple Autoencoder
  • 2. Denoising Autoencoder
  • 3. Variational Autoencoder and Reparematrization Trick
  • 4. Robust Word Embedding using Variational Autoencoder
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  • 1. Evolution of Recurrent Structures
  • 2. LSTM, RNN, GRU, Bi-RNN, Time-Dense
  • 3. Learning a Sine Wave using RNN in Tensorflow
  • 4. Creating Autocomplete for Harry Potter in Tensorflow
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  • 1. Generative vs Discrimative Models
  • 2. Theory of GAN
  • 3. Simple Distribution Generator in Tensorflow using MCMC (Markov Chain Monte Carlo)
  • 4. DCGAN,WGANs for Images
  • 5. InfoGANs, CycleGANs and Progressive GANs
  • 6. Creating a GAN for generating Manga Art
    Get detailed course syllabus in your inbox
  • 1. Model Free Prediction
  • 2. Monte Carlo Prediction and TD Learning
  • 3. Model Free Control with REINFORCE and SARSA Learning
  • 4. Assignment : Implementation of REINFORCE and SARSA Learning in Gridworld
  • 5. Off policy vs On Policy Learning
  • 6. Importance Sampling for Off Policy Learning
  • 7. Q Learning
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  • 1. Understanding Deep Learning as Function Approximator
  • 2. Theory of Behavioral Cloning and Deep Q Learning
  • 3. Revisiting Point Collector Example in Unity and
  • 4. Assignment : Training Cartpole Example via Deep Q Learning
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  • 1. Face Detection using Yolo-v3
  • 2. Building Autocomplete Feature using RNNs
  • 3. Real-time Depth Prediction and Pose Estimation
  • 4. How is Deep Learning used in Autonomous Driver Assistant systems
  • 5. Tips and Tricks for scaling and easy Deployment of Deep Learning Models
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Industry Projects

Project 1
Image Classifier with CNNs

Build a convolutional neural network to classify images from CIFAR-10 or MNIST datasets with data augmentation and dropout.

Project 2
Sentiment Analysis using RNNs

Develop an LSTM-based recurrent neural network to analyze sentiment in text data from movie reviews or social media.

Project 3
Transfer Learning for Object Detection

Fine-tune a pre-trained deep learning model (e.g., MobileNet, ResNet) for custom object detection tasks using TensorFlow.

Career Support

Our Hiring Partner

Exam & Certification

At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training. Online Classroom:
  • Participate and Complete One batch of Deep Learning Course with TensorFlow Training Course
  • Successful completion and evaluation of any one of the given projects
Online Self-learning:
  • Complete 85% of the Deep Learning Course with TensorFlow Certification course
  • Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your Deep Learning Course with TensorFlow Training course. It helps you to prepare for the actual Deep Learning Course with TensorFlow Certification exam. You can try this free Deep Learning Course with TensorFlow Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Deep Learning Course with TensorFlow Certification Path.
  • Oracle Certified Associate (OCA)
  • Oracle Certified Professional (OCP)
  • Oracle Certified Expert (OCE)
  • Oracle Certified Master (OCM)
  • Learn About the Certification Paths.
  • Write Code Daily This will help you develop Coding Reading and Writing ability.
  • Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
  • Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
  • Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Deep Learning Course with TensorFlow Developers.

Our Student Successful Story

checkimage Regular 1:1 Mentorship From Industry Experts checkimage Live Classes checkimage Career Support
Sandeep Kumar D
Software Engineer, Cisco Systems )
It was a great learning experience. The trainer had provided relevant examples truly enjoyed the sessions, I wholeheartedly thank Training & Placement Cell for the constant support
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Vinoth P
UI Developer, TCS
I would like to appreciate the placement cell at LearnoVita for the efforts they made for providing a fair and ample amount of chances to me. boot-camps and extra classes for us to enhance our technical and interpersonal skills.
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Vijeyalakshme kannan
QA Engineer, Amazon Development Center
I feel great studying at LearnoVita and getting the great opportunity as well as support from faculties & placement officers. It is dream come true, being an IT engineer
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Pranav Srinivas
Software Testing, Capgemini
My sincere appreciation & gratitude to the Training & Placement Department and all staff of LearnoVita for their efforts in imparting quality technical and aptitude training. I am very grateful to them for effectively and sincerely helping me to grab the first-ever opportunity that came into my life.
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Prasanna
SAP Admin, HCL
I am very thankful to the faculties of LearnoVita as they are very much supportive, helpful, and the Placement Cell which is also doing a great job by arranging excellent placements of MNCs & good corporate exposure is given to students.
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How are the Deep Learning with Tensorflow Course with LearnoVita Different?

Feature

LearnoVita

Other Institutes

Affordable Fees

Competitive Pricing With Flexible Payment Options.

Higher Deep Learning with Tensorflow Fees With Limited Payment Options.

Live Class From ( Industry Expert)

Well Experienced Trainer From a Relevant Field With Practical Deep Learning with Tensorflow Training

Theoretical Class With Limited Practical

Updated Syllabus

Updated and Industry-relevant Deep Learning with Tensorflow Course Curriculum With Hands-on Learning.

Outdated Curriculum With Limited Practical Training.

Hands-on projects

Real-world Deep Learning with Tensorflow Projects With Live Case Studies and Collaboration With Companies.

Basic Projects With Limited Real-world Application.

Certification

Industry-recognized Deep Learning with Tensorflow Certifications With Global Validity.

Basic Deep Learning with Tensorflow Certifications With Limited Recognition.

Placement Support

Strong Placement Support With Tie-ups With Top Companies and Strong Mock Interviews.

Basic Placement Support

Industry Partnerships

Strong Ties With Top Tech Companies for Internships and Placements

No Partnerships, Limited Opportunities

Batch Size

Small Batch Sizes for Personalized Attention.

Large Batch Sizes With Limited Individual Focus.

Additional Features

Lifetime Access to Deep Learning with TensorflowCourse Materials, Alumni Network, and Hackathons.

No Additional Features or Perks.

Training Support

Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

Limited Mentor Support and No After-hours Assistance.

Deep Learning with Tensorflow Course FAQ's

Certainly, you are welcome to join the demo session. However, due to our commitment to maintaining high-quality standards, we limit the number of participants in live sessions. Therefore, participation in a live class without enrollment is not feasible. If you're unable to attend , you can review our pre-recorded session featuring the same trainer. This will provide you with a comprehensive understanding of our class structure, instructor quality, and level of interaction.
All of our instructors are employed professionals in the industry who work for prestigious companies and have a minimum of 9 to 12 years of significant IT field experience. AAppium at learning experience is provided by all of these knowledgeable people at LearnoVita.
  • LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
  • Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
  • Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One , Infosys, MindTree, and MPhasis, among others.
  • LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
  • We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
  • Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
LearnoVita Certification is awarded upon course completion and is recognized by all of the world's leading global corporations. LearnoVita are the exclusive authorized Oracle, Microsoft, Pearson Vue, and Deep Learning with Tensorflow I exam centers, as well as an authorized partner of Deep Learning with Tensorflow . Additionally, those who want to pass the National Authorized Certificate in a specialized IT domain can get assistance from LearnoVita's technical experts.
As part of the training program, LearnoVita provides you with the most recent, pertinent, and valuable real-world projects. Every program includes several projects that rigorously assess your knowledge, abilities, and real-world experience to ensure you are fully prepared for the workforce. Your abilities will be equivalent to six months of demanding industry experience once the tasks are completed.
At LearnoVita, participants can choose from instructor-led online training, self-paced training, classroom sessions, one-to-one training, fast-track programs, customized training, and online training options. Each mode is designed to provide flexibility and convenience to learners, allowing them to select the format that best suits their needs. With a range of training options available, participants can select the mode that aligns with their learning style, schedule, and career goals to excel in Deep Learning with Tensorflow .
LearnoVita guarantees that you won't miss any topics or modules. You have three options to catch up: we'll reschedule classes to suit your schedule within the course duration, provide access to online class presentations and recordings, or allow you to attend the missed session in another live batch.
Please don't hesitate to reach out to us at contact@learnovita.com if you have any questions or need further clarification.
To enroll in the Deep Learning with Tensorflow at LearnoVita, you can conveniently register through our website or visit any of our branches in India for direct assistance.
Yes, after you've enrolled, you will have lifetime access to the student portal's study materials, videos, and top MNC interview questions.
At LearnoVita, we prioritize individual attention for students, ensuring they can clarify doubts on complex topics and gain a richer understanding through interactions with instructors and peers. To facilitate this, we limit the size of each Deep Learning with Tensorflow Service batch to 5 or 6 members.
The average annual salary for Deep Learning with Tensorflow Professionals in India is 4 LPA to 5 LPA.
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Career Assistance
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  • Get Trainer Tips to Clear Interviews
  • Practice with Experts: Mock Interviews for Success
  • Crack Interviews & Land Your Dream Job

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