Learn TensorFlow Online: Free Course with AI Tutor & Certificate
You'll build image classifiers, sentiment analysis models, and fraud detection systems using neural networks. This free TensorFlow course takes about 13 hours across 10 modules and 51 video lessons. You'll master CNNs, RNNs, and object detection while practicing your new skills through interactive AI-tutor quizzes.
What you'll learn in this TensorFlow course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Understand the fundamentals of TensorFlow and its architecture.
Implement and work with different types of neural networks, including single layer perceptron, hidden layer perceptron, and multi-layer perceptron.
Apply linear regression techniques using TensorFlow and understand the mathematical concepts behind it.
Gain knowledge and practical experience in machine learning, including classification, regression, and logistic regression using Python.
Learn about convolutional neural networks (CNN) and recurrent neural networks (RNN) and their applications in TensorFlow.
Understand the concept of style transferring and how to apply it using TensorFlow.
Gain expertise in object detection using TensorFlow and learn how to train object detection models.
Develop debugging skills for TensorFlow models and learn real-world strategies for debugging machine learning systems.
TensorFlow course syllabus
01 Introduction of TensorFlow
- What is TensorFlow?
- TensorFlow API's
- TensorFlow Core
- Installation Through PIP
- Installation Through Anaconda
- Architecture of TensorFlow
- TensorFlow Playground
02 TensorFlow Perception
- Single Layer Perceptron
- Hidden Layer Perceptron
- Multi-Layer Perceptron
03 ANN in TensorFlow
- What is Machine Learning?
- What is Artificial Neural Network?
- Implementation of Neural Network
- Classification of Neural Network
04 Linear Regression Using TensorFlow
- What is Linear Regression?
- Python Implementation in Linear Regression
- Gradient Descent in Linear Regression
- Mathematical Explanation for Linear Regression
05 ML - Linear Regression
- What is ML - Linear Regression
- ML | Normal Equation in Linear Regression
- Linear Regression Algorithms
- ML | Classification vs Regression
- Regression and Classification | Supervised Machine Learning
- Understanding Logistic Regression
- ML | Logistic Regression using Python
06 CNN in TensorFlow
- Overview of CNN
- Working of CNN
- CNN Training
- What is MNIST Dataset?
- What is the use of MNIST Dataset in CNN?
- CIFAR-10 & CIFAR-100 Dataset
07 RNN in TensorFlow
- Overview of RNN
- Working of RNN
- What is RNN Time Series?
- LSTM RNN in TensorFlow
- Types of RNN
- RNN Training
- CNN vs RNN
08 Style Transferring
- What is Style Transferring?
- Gram Matrix in Style Transferring
- Working of Style Transferring
- Process of Style Transferring
09 TensorFlow Object Detection
- What is TensorFlow Object Detection?
- What is Object Detection Model?
- How do you train an object detection model in TensorFlow?
- How to create dataset for object detection?
10 TensorFlow Debugging
- What is TensorFlow Debugging?
- Debugging TensorFlow With Tensorboard Plugins
- Fixing Problem in TensorFlow Debugging
- Real-world Strategies for Debugging Machine Learning Systems
- Debugging Keras Models with the help of tfdbg
Real-world projects you'll work on
Practice the exact kind of work TensorFlow professionals do on the job.
Image Classification for Autonomous Driving: Using TensorFlow, develop a deep learning model to classify objects in real-time for an autonomous driving system, showcasing the power of TensorFlow in computer vision applications.
Predictive Maintenance for Manufacturing: Utilize TensorFlow to build a predictive maintenance model that can detect anomalies and predict equipment failures in a manufacturing environment, helping a global manufacturing company optimize their maintenance processes.
Sentiment Analysis for Customer Feedback: Create a sentiment analysis model using TensorFlow to analyze customer feedback and sentiment on social media platforms, enabling a global e-commerce giant to gain valuable insights into customer satisfaction and improve their products and services.
Fraud Detection in Financial Transactions: Develop a fraud detection system using TensorFlow to identify fraudulent transactions in real-time for a leading global financial institution, demonstrating the effectiveness of TensorFlow in detecting and preventing financial fraud.
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this TensorFlow course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Software developers looking to transition into machine learning and AI roles.
- Data analysts wanting to add deep learning and neural network building to their skillset.
- Computer science students in India building a portfolio of practical AI projects.
- Working professionals seeking a free tensorflow course to understand object detection and predictive maintenance.
Prerequisites
- A basic understanding of Python programming is required.
- Familiarity with foundational mathematical concepts like linear algebra and calculus is helpful.
- No prior experience with deep learning or neural networks is needed.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete TensorFlow course: free, structured and job-focused
You'll train deep learning models that can classify images for autonomous driving, detect financial fraud, and analyze customer sentiment. This tensorflow full course teaches you how to build and debug neural networks from the ground up. You'll start with the basics in the "What is TensorFlow?" lesson before moving into advanced topics. The curriculum covers artificial neural networks (ANN), convolutional neural networks (CNN), and recurrent neural networks (RNN) in detail.
Across 10 modules and 51 video lessons, you'll get hands-on experience with linear regression, style transferring, and object detection. You'll also complete practical projects, such as building a predictive maintenance model for manufacturing to detect equipment failures. We also cover TensorFlow Debugging, giving you real-world strategies for fixing machine learning systems. By the end of the 13 hours of training, you'll know how to structure, train, and troubleshoot complex pipelines using Python.
LearnTube makes this deep learning tensorflow tutorial highly interactive and accessible. Our platform curates the most effective YouTube lessons and pairs them with an AI tutor that tests your knowledge after every single video. You don't need to pay anything for the learning material. Once you finish the tensorflow training, you can choose to purchase an optional paid certificate to verify your skills for our 900+ hiring partners.
Jobs you can target after learning TensorFlow
TensorFlow is a gateway skill for some of the fastest-growing roles in tech.
Designs and trains predictive models using deep learning frameworks.
Analyzes complex datasets and builds algorithms to solve business problems.
Creates artificial intelligence systems for computer vision and natural language processing.
Develops software that allows computers to process and analyze visual data.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a TensorFlow certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this TensorFlow course.
What can I build after completing this tensorflow tutorial?
You'll be able to build predictive maintenance models, image classifiers, and fraud detection systems. The course teaches you how to create neural networks for object detection and sentiment analysis using real-world data.
Is TensorFlow still in demand for machine learning?
Yes. It remains one of the most popular frameworks for artificial intelligence. Companies across finance, manufacturing, and tech rely on it to run complex deep learning models and process large datasets.
Is this learn tensorflow course actually free?
Yes. You can access all 10 modules, 51 video lessons, and the AI-tutor quizzes for free. The learning material costs nothing, allowing you to study artificial neural networks and object detection at your own pace.
How much does the tensorflow certification cost?
The learning content is completely free, while the official certificate is an optional paid add-on. Pricing details are available on the checkout page when you decide to verify your deep learning skills.
Do I need to know Python before taking this tensorflow training?
Yes. You should have a foundational understanding of Python programming. Since the course focuses on building machine learning pipelines and neural networks using Python, basic coding knowledge will help you succeed.
What does the AI tutor do in this tensorflow online course?
The AI tutor generates interactive quizzes after every video lesson. It tests your understanding of topics like linear regression and CNNs, ensuring you actually retain the deep learning concepts before moving forward.
How long does it take to finish this tensorflow crash course?
It takes about 13 hours to complete. You can study at your own pace, working through the 51 lessons on your own schedule to master everything from basic perception to advanced style transferring.
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