What is TensorFlow? Courses, Fees, Top Institutes, Careers & Salary 2025

TensorFlow is one of the most in-demand tools used by AI and machine learning engineers. It is an open-source software framework developed by the Google Brain team to build and deploy various machine learning and deep learning models. TensorFlow helps to execute and train neural network image recognition, natural language processing, digit classification, and much more.

Key Aspects of the TensorFlow Library:

• Core Features: Comprehensive Ecosystem, Flexibility, Scalability, Responsive Construct and Debugging, and Automatic Differentiation.
• Future Relevancy: Integration with Modern Technologies, Versatility in Applications, End-to-End Industrial Solutions, High Market Demand, and Competitive Salaries.
• Course Content: Introduction to Machine Learning & Deep Learning, TensorFlow Basics, Neural Networks, Model Building & Training, NLP, and Data Preparation.
• Top Course Providers: Coursera, Udemy, edX, Udacity, LinkedIn Learning, Great Learning, etc.
• Career Opportunities: Machine Learning Engineer, Deep Learning Engineer, AI/ML Research Scientist, Computer Vision Engineer, NLP Engineer, Data Engineer, etc.
• Starting Earning Potential: INR 7 LPA – INR 9 LPA

To learn more about the TensorFlow courses for beginners, read the article below.

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TensorFlow Course Details: Highlights

Machine learning is a very daunting task, and by using TensorFlow, one can actually streamline the process, acquiring data, training deep learning models, serving predictions, and refining future results in a very easy and fast way. Students can check the table given below for a more comprehensive yet brief overview of what is TensorFlow:

TensorFlow Course Particulars	TensorFlow Course Details
Core TensorFlow Concepts	Tensors, Data Flow Graphs, Building and Training Neural Networks, Deploying TensorFlow Models, Machine Learning Fundamentals, and Data Handling and Preparation.
Key TensorFlow Features	Scalability, Flexibility, Community Support, Versatility, Model Deployment, and Cloud Integration.
TensorFlow Use Cases	Image and Video Recognition, Natural Language Processing, Time Series Analysis, Recommendation Systems, and Robotics.
TensorFlow Online Learning Platforms	Coursera, Udemy, edX, Udacity, LinkedIn Learning, Great Learning, Simplilearn, NPTEL, etc.
Top TensorFlow Courses for Beginners	TensorFlow for Deep Learning by Udacity DeepLearning.AI TensorFlow Developer by Coursera TensorFlow 2.0: Deep Learning and Artificial Intelligence by Udemy Machine Learning with TensorFlow on Google Cloud Platform Specialization by Coursera Deep Learning with TensorFlow by IBM on edX
Core Industries Using TensorFlow	Technology and Internet Services, Finance and Banking, Healthcare, Manufacturing, Industrial Automation, Automotive, Media and Entertainment, Research, etc.
Career Options after TensorFlow Courses	Machine Learning Engineer, Deep Learning Engineer, AI/ML Research Scientist, Computer Vision Engineer, NLP Engineer, Data Engineer, etc.
Average Salary after TensorFlow Certifications	INR 7 LPA to INR 9 LPA

Note: This information is sourced from external sources and may vary.

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TensorFlow can safely be called the production powerhouse that is used to build and train machine learning, particularly deep learning models, and handle large-scale mathematical computations efficiently. The TensorFlow library is the go-to source for developing neural networks, which in turn are used to execute tasks like image and speech recognition, natural language processing, and other complex applications. Let us explore a few reasons why learning TensorFlow in 2025 can be a game changer for students:

• Wide Industrial Adoption: Several companies like Google, Airbnb, and Uber are using TensorFlow for various AI features and industrial applications owing to its scalability scope and proven track record in large-scale production environments.
• Comprehensive Ecosystem: Comprises various tools like TensorFlow Core, TensorFlow Lite, TensorFlow Extended, etc., for various functionalities across devices and supporting multiple tasks.
• Integration with Modern Technologies: Seamlessly integrates with various cloud platforms like Google Cloud AI, and supports multiple programming languages like C++, Java, and Python, enabling scalable machine learning solutions and edge computing.
• Career Opportunities & Earning Potential: AI and ML professionals have been witnessing skyrocketing demand in the job market lately, and gaining mastery over TensorFlow would enhance career prospects and salary potential across tech companies, startups, and research institutions.
• Versatility in Applications: TensorFlow has a wide variety of usage across industries like technology, healthcare, finance, autonomous driving, etc., and facilitates cutting-edge projects including image and speech recognition, recommendation systems, and natural language processing.

How to Choose the Best TensorFlow Course Online?

Learning TensorFlow can surely be beneficial for students in the long run, given the technologically advancing landscape and the constant need for innovation and automation. Students often face confusion while choosing the right TensorFlow course for themselves, and hence, the below section lists a few basic pointers to keep in mind while selecting the course to help students make the right choice:

• Individual Interests and Passions: Think about individual interest areas and career goals, along with the specific TensorFlow concepts one is interested in, like computer vision and natural language processing. This allows the course selection process to be streamlined.
• Evaluation of Course Content: Check for the course curriculum that must include the foundational concepts of TensorFlow, machine learning, and deep learning, alongside practical skills, project work, and industry insights.
• Course Provider & Learning Resources: Make sure to opt for TensorFlow courses with certificates from reputed platforms like Coursera, edX, Udemy, etc., which are known for their high-quality content and learning resources.
• Course Fees: Check for the course fees to see if it aligns with individual financial goals and gives a decent return on investment in terms of future job relevancy and value.
• Flexibility & Accessibility: Check if the course offers self-paced learning or has fixed classes and is accessible across all devices, ensuring flexibility.
• Student Feedback: Read reviews and testimonials from previous learners to gauge the course's effectiveness and quality. Look for success stories and career advancements from alumni to assess the course’s impact.

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Students must note that colleges in India do not offer full-time, standalone courses on TensorFlow at present. One can pursue online certifications in the field available at various popular platforms like Coursera, Udemy, edX, Udacity, etc. From free introductory course modules to advanced paid TensorFlow certifications, online courses cover concepts like tensors, data flow graphs, building and training neural networks, deploying TensorFlow models, machine learning fundamentals, etc. The below section provides insights into some top TensorFlow courses with certificates.

TensorFlow Courses: Coursera

Coursera is one of the most trusted global online learning platforms where students get to learn advanced skills and knowledge for almost every field available. The table given below lists a few top TensorFlow courses available at Coursera:

TensorFlow Course Name	TensorFlow Course Duration	TensorFlow Course Fees
Introduction to TensorFlow	19 hours	Free
Image Understanding with TensorFlow on GCP	12 hours	Free
Probabilistic Deep Learning with TensorFlow 2	53 hours	Free
Getting started with TensorFlow 2	26 hours	Free
DeepLearning.AI - Advanced Deployment Scenarios with TensorFlow	13 hours	Free
Browser-based Models with TensorFlow.js	18 hours	Free
Neural Network from Scratch in TensorFlow	2 hours	INR 729
DeepLearning.AI TensorFlow Developer Professional Certificate	4 hours	INR 3,580

Note: This information is taken from the official website and may vary.

TensorFlow Courses: Great Learning

Great Learning is another feasible option for students looking for structured and career-focused online learning, where they get knowledge of TensorFlow basics and its applications. The table given below lists a few top TensorFlow certification courses online with Great Learning:

TensorFlow Course Name	TensorFlow Course Duration	TensorFlow Course Fees
Introduction to Tensorflow and Keras	3 hours	Free
TensorFlow Python	2 hours	Free
Tensorflow 2.0: Building computer vision applications	2 hours	Free

Note: This information is taken from the official website and may vary.

TensorFlow Courses: Microsoft, NPTEL, Simplilearn, Udacity & Edureka

Some other popular learning sources for TensorFlow include Microsoft, Udacity, Edureka, and NPTEL, where students can gain mastery over the tensor techniques and fundamentals. The table given below lists a few course options for students to consider:

TensorFlow Course Name	TensorFlow Course Provider & Duration	TensorFlow Course Fees
TensorFlow fundamentals	Microsoft (4 hours)	Free
TensorFlow for Beginners	Simplilearn (5 hours)	Free
Intro to TensorFlow for Deep Learning	Udacity (2 months)	Free
Practical Machine Learning with Tensorflow	NPTEL (8 weeks)	Free
Introduction to Neural Networks with TensorFlow	Udacity (3 weeks)	INR 14,350
AI & Deep Learning with Tensorflow	Edureka (30 hours)	INR 17,000

Note: This information is taken from the official website and may vary.

 

Since TensorFlow courses are offered in the online mode via e-learning platforms, there is no concrete curriculum structure available for the same. However, the table given below mentions a few important concepts covered in TensorFlow courses online, which equip the students with the right set of knowledge and skills to excel in the field:

Important TensorFlow Course Concepts
Tensors	Data Flow Graphs
Building and Training Neural Networks	Deploying TensorFlow Models
Machine Learning Fundamentals	Data Handling and Preparation
Computational Graphs	Using Keras with TensorFlow
Convolutional Neural Networks	Recurrent Neural Networks
Model Architectures	Real-World Projects

Note: This information is taken from external sources and may vary.

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When someone asks about the best college for TensorFlow courses in India, there is no definite answer because none of the colleges provide specific, full-fledged courses in TensorFlow. In this case, students can opt for a major degree in AI & ML or Data Science, which do cover basic TensorFlow fundamentals, and later take up online certifications for specialized knowledge of the framework. The section below lists a few top colleges for UG-level courses in AI & Machine Learning and Data Science for students’ reference:

Best BTech in AI & ML Colleges in India

There are more than 1,400 full-time BTech in AI & ML colleges in India, which are quite popular for shaping the landscape of AI education. They distinguish themselves through industry-centric curriculum and forging strong ties with prominent tech enterprises to facilitate internship opportunities and placements. The table given below lists a few popular college options:

Best B Tech Artificial Intelligence Colleges	Tuition Fee
NIT Surathkal	INR 5 lakh
IIT Madras	INR 8 lakh
IIT Roorkee	INR 8 lakh
IIT Guwahati	INR 8 lakh
IIT Kharagpur	INR 8.18 lakh
LPU	INR 10.2 lakh – 16 lakh
Chandigarh University	INR 10.5 lakh – 12.72 lakh
SOA University	INR 12.2 lakh
BIT Mesra	INR 13.75 lakh
SRM IST Chennai	INR 19 lakh

Note: This information is sourced from the official website and may vary.

Important Note: Candidates interested in getting more details about AI & ML colleges for PG, diploma, and certificate-level courses can visit the Best AI & ML Colleges in India page.

Best Data Science Colleges: Full-Time UG Courses

Around 30 Data Science colleges in India offer UG courses in the full-time mode. The colleges are popular for their campus life, academic expertise, infrastructure, practical exposure, and promising placements. Students can refer to the table given below for a few popular college options, along with the Data Science course fees:

Best Colleges for UG-level Data Science Courses	Data Science Course Fees
ITM Vocational University	INR 2.37 lakh
School of Information Science, Presidency University, Bangalore	INR 3.45 lakh
University of Engineering and Management, Jaipur	INR 3.84 lakh – INR 8.24 lakh
Institute of Advance Education and Research, Kolkata	INR 4.07 lakh
Chitkara University, Chandigarh	INR 4.48 lakh
G H Raisoni College Of Engineering And Management, Nagpur	INR 5.55 lakh
NIMS University, Jaipur	INR 6.6 lakh
VIT Vellore	INR 7.8 lakh
IIT Guwahati	INR 8 lakh
IIT Patna	INR 8 lakh

Note: This information is sourced from the official website and may vary.

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The earning potential and job opportunities after TensorFlow courses online look quite promising in India and present a satisfactory career graph across industries, including technology and internet services, finance and banking, healthcare, manufacturing, industrial automation, automotive, media, and research.

Deep learning technologies and frameworks have made a digital impact across organizations of all sizes that use them to enhance their products and services, and hence, advanced-level TensorFlow certifications can significantly enhance career prospects. The table given below lists some top job profiles after pursuing TensorFlow courses, along with the salary packages:

Job Options after TensorFlow Courses Online	Job Description	Average Salary Package
Deep Learning Engineer	Responsible for the design, development, and optimization of machine learning models, using artificial neural networks for various applications, including computer vision, NLP, and recommendation systems.	INR 11.7 LPA
Data Scientist	Analyzes large amounts of data to extract meaningful insights and facilitate important business decisions, using programming, machine learning, and statistical expertise.	INR 15.5 LPA
NLP Engineer	Looks after the design and development of algorithms and models that allow computers to comprehend, interpret, and react to human language.	INR 9.6 LPA
Machine Learning Engineer	Implements machine learning models and algorithms within data pipelines, develops predictive models, and optimizes machine learning workflows.	INR 11.3 LPA
Computer Vision Engineer	Designs algorithms and develops and optimizes computer vision systems for visual data interpretation, using deep learning/machine learning frameworks.	INR 10.4 LPA
AI Architect	Designs, manages, and looks after the operational stability of a company’s AI architecture by implementing AI solutions for business needs.	INR 39.7 LPA

Note: The salary information is taken from Ambitionbox.com and may vary.

TensorFlow Top Recruiters

Candidates can land promising TensorFlow jobs across industries like internet technologies, software, cybersecurity, electronics, automobiles, BFSI, security and defense, healthcare, and manufacturing, offering excellent earning potential and job satisfaction. The table given below lists a few top recruiters hiring candidates with TensorFlow certifications in India:

Top TensorFlow Recruiters
Google	Apple
Microsoft India	Uber
Twitter	Meta (Facebook India)
Dropbox	McKinsey & Company
Amazon	Accenture
EY India	PwC

Note: This information is taken from external sources and may vary.

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