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TensorFlow Online Training

(4.5) 8651 Ratings
  • Enroll in the TensorFlow Online Course to learn machine learning and deep learning with TensorFlow.
  • Master key topics like neural networks, model building, and TensorFlow APIs.
  • Gain hands-on experience through real-time projects, model training, and deployment.
  • Ideal for Data Scientists, ML Engineers, and AI enthusiasts.
  • Choose from flexible batch timings: Weekday, Weekend, or Fast-Track.
  • Benefit from placement support, interview prep, and certification guidance.

Course Duration

55+ Hrs

Live Project

3 Project

Certification Pass

Guaranteed

Training Format

Live Online (Expert Trainers)
WatchLive Classes
Course fee at
₹16000

₹21000

11258+

Professionals Trained

10+

Batches every month

2658+

Placed Students

203+

Corporate Served

What You'll Learn

Learn TensorFlow basics to build and deploy machine learning models with ease.

Master creating neural networks for tasks like image recognition and natural language processing.

Explore TensorFlow’s data pipeline tools to efficiently handle large datasets in TensorFlow Online Course.

Understand model training, evaluation, and optimization techniques for better accuracy.

Gain hands-on experience with TensorFlow Hub and TensorBoard for model management.

Enroll in the TensorFlow Online Training format for flexible, practical AI learning.

An Overview of TensorFlow Course

The TensorFlow Online Training offers a comprehensive program to master TensorFlow, the leading open-source framework for machine learning and deep learning. This TensorFlow Online course covers foundational concepts like neural networks, data preprocessing, model building, training, and deployment using TensorFlow. Learners gain hands-on experience with real-world projects in image recognition, natural language processing, and AI applications. The training prepares participants for TensorFlow certification course and roles in AI development, data science, and research, making it ideal for aspiring machine learning engineers and AI specialists.

Future Trends for TensorFlow

  • Growth in TensorFlow for edge and mobile AI applications.
  • Enhanced support for distributed training across multiple GPUs.
  • Integration with AutoML simplifies model creation and tuning.
  • Expansion in TensorFlow Lite for efficient on-device inference.
  • Increasing use in healthcare, finance, and autonomous systems.
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TensorFlow Training Objectives

  • Not really, despite the numbers you see, keep in mind the 'Google' crowd alone will be enough to keep TensorFlow alive as far as it's suitability of research. Furthermore, TensorFlow 2.0 may appeal to the research audience with eager mode and native Keras integration..
  • A myriad of tools and frameworks run in the background which makes Tesla's futuristic features a great success. One such framework is PyTorch. PyTorch has gained popularity over the past couple of years and it is now powering the fully autonomous objectives of Tesla motors
  • PyTorch has long been the preferred deep-learning library for researchers, while TensorFlow is much more widely used in production. PyTorch's ease of use combined with the default eager execution mode for easier debugging predestines it to be used for fast, hacky solutions and smaller-scale models..
Under TensorFlow framework, mixed precision has a lower GPU utilization and memory utilization time but yet has a faster speed. For PyTorch, although the GPU utilization and memory utilization time are higher, the corresponding performance has been improved significantly.
  • Finally, Tensorflow is much better for production models and scalability. It was built to be production ready. Whereas, PyTorch is easier to learn and lighter to work with, and hence, is relatively better for passion projects and building rapid prototypes.
  • It's so complicated in large part because the core APIs have been totally redesigned about 3 different times. Standard TF code today looks totally different than 3 years ago. So it's hard to piece together all the tutorials you find since they're often approach similar things completely differently..
  • TensorFlow provides pre-built functions and advanced operations to ease the task of building different neural network models. It provides the required infrastructure and hardware which makes them one of the leading libraries used extensively by researchers and students in the deep learning domain.
  • Just start learning it. 2 weeks. after 1 or 2 days, you will be good enough to train your own classifier with CNN, using Regularization techniques. Keras as part of tf 2 is pretty easy and can be learned within a week.
The training is perfect for the below job positions:
  • Software developers
  • Web designers
  • Programming enthusiasts
  • Engineering graduates
  • Students who all want to become TensorFlow developers
  • 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.
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TensorFlow Course Benefits

TensorFlow Certification Course offers hands-on learning in building and deploying machine learning models using the TensorFlow framework. The course covers neural networks, deep learning, data preprocessing, and model optimization techniques. Learners gain practical experience with real-world projects, enhancing skills in AI and data science. This training is ideal for developers and data scientists aiming to excel in machine learning and artificial intelligence applications. Additionally, a TensorFlow internship is available to provide real-world experience and deepen practical understanding of ML projects.

  • Designation
  • Annual Salary
    Hiring Companies
  • 3.24L
    Min
  • 6.5L
    Average
  • 17.5L
    Max
  • 4.50L
    Min
  • 8.5L
    Average
  • 16.5L
    Max
  • 4.0L
    Min
  • 9.5L
    Average
  • 13.5L
    Max
  • 3.24L
    Min
  • 9.5L
    Average
  • 12.5L
    Max

About TensorFlow Certification Training

Our TensorFlow Online Training delivers hands-on learning in building and deploying machine learning models using TensorFlow. Covering deep learning, neural networks, and AI concepts, this course blends theory with real-world TensorFlow projects. Ideal for beginners and data scientists, it offers expert guidance and 100% TensorFlow course with placement support to help you excel in AI development and advance your career confidently.

Top Skills You Will Gain
  • Model Building
  • Data Preprocessing
  • Neural Networks
  • Tensor Operations
  • Model Optimization
  • GPU Utilization
  • Deployment Techniques
  • Debugging Models

12+ TensorFlow Tools

Online Classroom Batches Preferred

Weekdays (Mon - Fri)
17 - Nov - 2025
08:00 AM (IST)
Weekdays (Mon - Fri)
19 - Nov - 2025
08:00 AM (IST)
Weekend (Sat)
22 - Nov - 2025
11:00 AM (IST)
Weekend (Sun)
23 - 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 TensorFlow Course From Learnovita? 100% Money Back Guarantee

TensorFlow Course Curriculam

Trainers Profile

Our TensorFlow Online Training is delivered by seasoned AI and machine learning professionals with deep expertise in building and deploying neural networks using TensorFlow. These trainers bring the latest industry knowledge and hands-on experience to help learners master TensorFlow’s powerful tools and frameworks. Through practical projects and real-world examples, they guide students in developing scalable machine learning models and understanding complex concepts with ease. Their commitment ensures trainees gain the skills needed to excel in AI-driven roles and advance their careers confidently.

Syllabus for TensorFlow Course Download syllabus

  • Framework Introduction
  • Installation Setup
  • Tensor Concepts
  • Computational Graphs
  • Sessions Usage
  • Dataset API
  • Data Pipelines
  • Data Augmentation
  • Preprocessing Functions
  • Batch Processing
  • Shuffle Operations
  • Mathematical Ops
  • Tensor Reshaping
  • Indexing Slicing
  • Broadcasting Rules
  • Reduction Ops
  • Concatenation Methods
  • Variable Initialization
  • Constant Usage
  • Placeholders Concept
  • Resource Variables
  • Variable Scopes
  • Sequential Models
  • Functional API
  • Layers Overview
  • Model Compilation
  • Custom Layers
  • Callbacks Usage
  • Loss Functions
  • Optimizers Setup
  • Metrics Tracking
  • Gradient Descent
  • Epochs Batch
  • Dense Layers
  • Activation Functions
  • Dropout Layers
  • Batch Normalization
  • Convolutional Layers
  • Validation Sets
  • Confusion Matrix
  • Precision Recall
  • ROC Curves
  • Hyperparameter Tuning
  • Cross Validation
  • Checkpoint Saving
  • Model Serialization
  • SavedModel Format
  • Exporting Models
  • Loading Models
  • TensorFlow Lite
  • TensorFlow Serving
  • Edge Deployment
  • Cloud Integration
  • REST APIs
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Need customized curriculum?

Industry Projects

Project 1
Image Classification Model

Build a TensorFlow model to classify images from a dataset like CIFAR-10. Learn to preprocess data, design CNN architectures, and train models. Evaluate accuracy and optimize performance with techniques like data augmentation and dropout.

Project 2
Sentiment Analysis on Text Data

Develop a sentiment analysis pipeline using TensorFlow and NLP techniques. Tokenize text, create embeddings, and build an LSTM model to classify sentiments. Practice model tuning and validation for real-world text data.

Project 3
Time Series Forecasting

Create a TensorFlow model to forecast stock prices using historical data. Implement RNNs or LSTMs to capture temporal patterns. Learn data scaling, sequence preparation, and model evaluation to improve prediction accuracy.

Career Support

Our Hiring Partner

Exam & TensorFlow 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 TensorFlow Training Course
  • Successful completion and evaluation of any one of the given projects
Online Self-learning:
  • Complete 85% of the 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 TensorFlow Training course. It helps you to prepare for the actual TensorFlow Certification exam. You can try this free 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 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 TensorFlow Developers.

Our Student Successful Story

checkimage Regular 1:1 Mentorship From Industry Experts checkimage Live Classes checkimage Career Support

How are the TensorFlow Course with LearnoVita Different?

Feature

LearnoVita

Other Institutes

Affordable Fees

Competitive Pricing With Flexible Payment Options.

Higher TensorFlow Fees With Limited Payment Options.

Live Class From ( Industry Expert)

Well Experienced Trainer From a Relevant Field With Practical TensorFlow Training

Theoretical Class With Limited Practical

Updated Syllabus

Updated and Industry-relevant TensorFlow Course Curriculum With Hands-on Learning.

Outdated Curriculum With Limited Practical Training.

Hands-on projects

Real-world TensorFlow Projects With Live Case Studies and Collaboration With Companies.

Basic Projects With Limited Real-world Application.

Certification

Industry-recognized TensorFlow Certifications With Global Validity.

Basic TensorFlow Certifications With Limited Recognition.

Placement Support

Strong Placement Support With Tie-ups With Top Companies and 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 TensorFlow Course 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.

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. A great 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 TensorFlow exam centers, as well as an authorized partner of 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 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 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 TensorFlow Service batch to 5 or 6 members.
The average annual salary for TensorFlow Professionals in India is 3 LPA to 9 LPA.
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