Tensorflow

TensorFlow is an open-source Machine Learning library developed by Google. It is mainly used for numerical computation and to train Deep Learning models using a number of APIs and tools. Udemy features more than 1,000 courses on TensorFlow.

The article features the 10 best Udemy TensorFlow Courses in 2023. As per student ratings and reviews the ‘TensorFlow Developer Certificate in 2023: Zero to Mastery Course’ is one of the best TensorFlow course on Udemy. More than 59,000 students have enrolled in the course. It has an average rating of 4.7/5 based on over 6,000 reviews. The ‘Deep Learning with TensorFlow 2.0 [2023] Course’ is another popular Udemy TensorFlow course. It has an average student rating of 4.5/5 based on over 2,200 reviews.

Udemy is currently offering the top 10 TensorFlow courses for INR 2,000 – INR 4,000 (click on the join now link to get 90% discount) along with a 30-day money-back guarantee and lifetime access. There are many free Udemy TensorFlow courses for those who want to check out basic TensorFlow courses without any certification.

Top 10 UdemyTensorFlow CoursesRegistration Link
TensorFlow Interview Questions & Answers
Deep Learning with TensorFlow 2.0 [2023]
TensorFlow Developer Certificate in 2023: Zero to Mastery
TensorFlow 2.0: Deep Learning and Artificial Intelligence
Complete TensorFlow 2 and Keras Deep Learning Bootcamp
Convolutional Neural Networks with TensorFlow in Python
Deep Learning in Practice I: Tensorflow Basics and Datasets
TensorFlow 2.0 Practical
Deep Learning: Image Classification with Tensorflow in 2023
A Complete Guide on TensorFlow 2.0 using Keras API
View More

1. TensorFlow Interview Questions & Answers

The course covers the top questions and answers asked in TensorFlow job interviews. Students will get to know the latest and most frequently asked questions in this course to prepare them for roles like Deep Learning or ML engineers.

  • Course Rating: 4.9/5
  • Duration: 3 hours 7 minutes
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Certificate of completion, Mobile and TV access, Lifetime access, 1 downloadable resource

Join Now: TensorFlow Interview Questions & Answers

Learning Outcomes

TensorFlow interview questions and answersTensorFlow trending topics
TensorFlow / Deep Learning EngineerCrack TensorFlow and Deep Learning / Machine Learning job interviews

2. Deep Learning with TensorFlow 2.0 [2023]

The course teaches students about TensorFlow 2.0 and how it can be used to write deep learning algorithms. Students will get hands-on training in real-world cases to optimise businesses using deep learning. The theories and mathematics behind different algorithms are also explained in detail. Topics covered include TensorFlow and NumPy, layers, backpropagation process, initialization methods and more. Students will have strong knowledge of neural networks and will be able to apply skills in business cases after completing the course.

  • Course Rating: 4.5/5
  • Duration: 5 hours 55 minutes
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Certificate of completion, Mobile and TV access, 18 articles, 20 downloadable resources

Join NowDeep Learning with TensorFlow 2.0 [2023]

Learning Outcomes

Strong understanding of TensorFlowHands-on deep and machine learning experience
Backpropagation, Stochastic Gradient Descent, Batching, Momentum and Learning Rate SchedulesPre-Processing, Standardization, Normalization and One-Hot Encoding
Deep Learning Algorithms from Scratch in PythonMathematics Behind Deep Learning Algorithms
Underfitting, Overfitting, Training, Validation, Testing, Early Stopping and Initialization

3. TensorFlow Developer Certificate in 2023: Zero to Mastery

The course aims to impart all the necessary skills required so that students can clear the TensorFlow Developer Certification exam by Google. Different topics are covered in 10 chapters and a milestone project. Students will have the skills to develop modern deep learning solutions after completing this course.

  • Course Rating: 4.7/5
  • Duration: 63 hours 32 minutes
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Certificate of completion, Mobile and TV access, Lifetime access, 42 articles, 5 downloadable resources, 1 coding exercise

Join Now: TensorFlow Developer Certificate in 2023: Zero to Mastery

Learning Outcomes

Skills to pass the Google TensorFlow Developer Certificate examInteractive notebooks and course slides as downloadable guides
Integrate Machine Learning into tools and applicationsBuilding image recognition, text recognition algorithms
Deep Learning for Time Series ForecastingTensorFlow models using Computer Vision, Convolutional Neural Networks and Natural Language Processing
Building Machine Learning Models using TensorFlow 2Real-world images to visualise the journey of an image

4. TensorFlow 2.0: Deep Learning and Artificial Intelligence

This course is beginner friendly and aims to teach students the fundamentals of TensorFlow. Students will learn about basic machine learning models and will be going up to modern concepts in a step-by-step method. Students will also learn about deep learning architectures and test their skills in featured projects. Upon completion of the course, students will gain knowledge in machine learning, neural networks and many more TensorFlow and deep learning topics.

  • Course Rating: 4.7/5
  • Duration: 23 hours 27 minutes
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Certificate of completion, Mobile and TV access, Lifetime access

Join NowTensorFlow 2.0: Deep Learning and Artificial Intelligence

Learning Outcomes

ANNs/DNNs/CNNsTime Series Forecasting
Building Deep Reinforcement Learning Stock Trading BotRecommender Systems
RESTful API for TensorFlow model servingTensorFlow Distribution Strategies
NLP with Deep LearningImage classifiers
Stock returnsComputer visions
GANsImage Recognition
RNNsImage Recognition
TensorFlow LiteMoore’s Law using code

5. Complete TensorFlow 2 and Keras Deep Learning Bootcamp

Students will learn to create artificial neural networks for deep learning using TensorFlow 2 in this course. Students will understand the complexities of TensorFlow 2 and learn to use Keras API to build models. The course also features Jupyter guides and references for students.

  • Course Rating: 4.6/5
  • Duration: 19 hours 12 minutes
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Certificate of completion, Mobile and TV access, 2 articles, 3 downloadable resources

Join Now: Complete TensorFlow 2 and Keras Deep Learning Bootcamp

Learning Outcomes

TensorFlow 2.0 for Deep LearningImage classification using CNNs
Forecasting time series data with RNNsStyle transfer using deep learning
API for serving TensorFlow modelsBuilding models using Keras API to run on TensorFlow 2
Medical Imaging using deep learningGANs to generate images
Text generation using RNNs and natural language processingGPUs for better deep learning

6. Convolutional Neural Networks with TensorFlow in Python

The course deals with advanced neural networks mainly CNNs and deep learning. Students will learn about CNNs basics and techniques to improve the performance of models and review popular CNN architectures. Upon completion of the course, students will have the skills to work on CNN projects confidently. Basic knowledge of TensorFlow and deep learning concepts is necessary before starting this course.

  • Course Rating: 4.7/5
  • Duration: 4 hours 42 minutes
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Certificate of completion, Mobile and TV access

Join NowConvolutional Neural Networks with TensorFlow in Python

Learning Outcomes

Convolutional Neural Network FundamentalsTensorFlow and Tensorboard
Convolution and its Role in CNNsDropout
Multiple classificationImage into Tensors
Computer Vision and Machine Learning tasksKernels
L2 regularisation and weight decayTensorboard to visualise networks and metrics
Concepts behind CNN architectures

7. Deep Learning in Practice I: Tensorflow Basics and Datasets

The course deals with providing students with skills and best practices which will help them in deep learning projects. Students will learn about the structuring of projects efficiently so that they can be reused and deep learning project processes from data collection to evaluation. Students will be able to develop deep learning projects and dataset design efficiently with good results after completing this course.

  • Course Rating: 4.2/5
  • Duration: 4 hours 26 minutes
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Certificate of completion, Mobile and TV access, Lifetime access, 6 articles, 5 downloadable resources, assignments

Join NowDeep Learning in Practice I: Tensorflow Basics and Datasets

Learning Outcomes

Complex deep learning projectsReusable libraries
Evaluating the performance of deep learning modelsTraining on local machine and Google collab
Organisation and structure of deep learning projectsClassification projects
Loading data in Numpy arrayDataset designing from collection to HDF5 partitioned dataset

8. TensorFlow 2.0 Practical

The course aims at teaching TensorFlow 2.0 to students through 10 different projects. Students will get hands-on experience in ANNs and CNNs using TensorFlow and Google Colab with real data. Topics covered include ANNs for regression tasks, model visualisations, sentiment analysis, TensorFlow 2.0 for tasks deployment and more. Students will gain knowledge in using TensorFlow 2.0 models for real-world problem-solving in this course.

  • Course Rating: 4.7/5
  • Duration: 11 hours 44 minutes
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Certificate of completion, Mobile and TV access, 2 articles, 10 downloadable resources

Join Now: TensorFlow 2.0 Practical 

Learning Outcomes

TensorFlow 2.0ANN models
Theory and mathematics behind ANNs and CNNsBack propagation and gradient descent methods to train ANNs
ANNs to perform regression tasksTained ANN models for classification tasks
Developing ANNs in Google ColabModels graph and assess their performance in TensorFlow
ANN optimisation for hyper parametersTrained ANN models for regression tasks using KPI
Convolutional Neural Networks to classify images10 Projects

9. Deep Learning: Image Classification with Tensorflow in 2023

The course introduces students to different concepts of deep learning in TensorFlow 2 and Huggingface. Students will learn different concepts in an easy-to-understand step-by-step approach. Students will understand the working of image classification algorithm and their deployment to the cloud via best available practices. Different topics related to deep learning, MLOps, advanced TensorFlow concepts and more are covered in this course.

  • Course Rating: 4.6/5
  • Duration: 32 hours 28 minutes
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Certificate of completion, Mobile and TV access, Lifetime access, 1 article

Join NowDeep Learning: Image Classification with Tensorflow in 2023

Learning Outcomes

Tensors and Variables basicsTensorFlow and neural networks basics
Advanced TensorFlow modelsClassification Model Evaluation
Overfitting and UnderfittingAdvanced augmentation strategies
Machine Learning OperationsDeploying API to the Cloud
Machine Learning OperationsQuantization Aware training
Linear Regression, Logistic Regression and Neural NetworksCNNs for malaria detection
Evaluating Classification ModelsData augmentation with TensorFlow, Albumentations with TensorFlow 2 and PyTorch
Eager and Graph ModesTracking, dataset versioning with Wandb
Human emotions detectionGrad-cam method
TensorFlow to Onnx ModelFastapi to build API

10. A Complete Guide on TensorFlow 2.0 using Keras API

Students will learn to make applications based on deep learning and AI using TensorFlow 2 in this course. The course covers all the topics of neural networks in a structured way. The course is divided into 5 parts to make students start from the basics in an easy way and build up to advanced topics as the course proceeds.

  • Course Rating: 4.6/5
  • Duration: 13 hours 5 minutes
  • Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
  • Benefits: Certificate of completion, Mobile and TV access, 13 articles, 3 downloadable resources

Join Now: A Complete Guide on TensorFlow 2.0 using Keras API

Learning Outcomes

TensorFlow 2.0 in data scienceANNs, RNNSs and CNNs in TensforFlow 2.0
Ba stock market trading bot using Reinforcement LearningData Validation and Dataset Preprocessing
Fashion API with Flask and TensorFlow 2.0Difference between Tensorflow 1.x and Tensorflow 2.0
Transfer Learning application in Tensorflow 2.0Machine Learning Pipeline in Tensorflow 2.0
TensorFlow 2.0 model into productionServing TensorFlow model with RESTful API

Udemy TensorFlow Courses: FAQs

Ques. What is TensorFlow?

Ans. TensorFlow is an open-source software used for deep learning, machine learning, AI and other statistical and predictive works. It is widely used for building and training machine learning models.

Ques. Do I need to have prior knowledge/experience before opting for Udemy TensorFlow courses?

Ans. There are many TensorFlow courses on Udmey that are beginner friendly that requires no previous knowledge. Basic knowledge of deep learning must be required in courses covering advanced topics like applications and predictive models.

Ques. What job prospects are available after completing Udemy TensorFlow courses?

Ans. After completing Udemy TensorFlow courses, students can apply for job titles like machine learning engineers, AI experts, Neural network developers, data scientists, software engineers and more.

Ques. What is the duration of Udemy TensorFlow courses?

Ans. The duration of Udemy TensorFlow courses depends on the course level and the topics covered. Most courses can generally be completed in some hours.

Ques. Name some top Udemy TensorFlow courses.

Ans. Some of the top Udemy TensorFlow courses are –

  • Deep Learning with TensorFlow 2.0 [2023].
  • TensorFlow Developer Certificate in 2023: Zero to Mastery.
  • TensorFlow Interview Questions & Answers.
  • Complete TensorFlow 2 and Keras Deep Learning Bootcamp.
  • Convolutional Neural Networks with TensorFlow in Python.

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