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McCombs School of Business at The University of Texas at Austin

PG Program in Artificial Intelligence and Machine Learning: Business Applications

7 months  • Online

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Free TensorFlow Courses

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Introduction to Neural Networks and Deep Learning
star   4.57 68.7K+ learners 2.5 hrs
Introduction to Neural Networks and Deep Learning

Skills: CNN,ANN,RNN,Tensorflow,Deep Learning Algorithms

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Introduction to Tensorflow and Keras
star   4.54 22.9K+ learners 3.5 hrs
Introduction to Tensorflow and Keras

Skills: Tensorflow,Keras,Neural Networks,Linear Regression using Tensorflow,MNIST Character Recognition ,Image classification using CNN

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TensorFlow Python
star   4.46 12.9K+ learners 2.5 hrs
TensorFlow Python

Skills: TensorFlow library,Deep Learning,Neural Networks,Artificial Intelligence,Image Classification,Tensors,Python

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Introduction to Neural Networks and Deep Learning
Introduction to Neural Networks and Deep Learning
star   4.57 68.7K+ learners 2.5 hrs

Skills: CNN,ANN,RNN,Tensorflow,Deep Learning Algorithms

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img icon FREE
Introduction to Tensorflow and Keras
Introduction to Tensorflow and Keras
star   4.54 22.9K+ learners 3.5 hrs

Skills: Tensorflow,Keras,Neural Networks,Linear Regression using Tensorflow,MNIST Character Recognition ,Image classification using CNN

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TensorFlow Python
TensorFlow Python
star   4.46 12.9K+ learners 2.5 hrs

Skills: TensorFlow library,Deep Learning,Neural Networks,Artificial Intelligence,Image Classification,Tensors,Python

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Reviewer Profile
Alishba Tallat

5.0

★★★★ ★
“Artificial Neural Network & Deep Learning”
Overall, it was a good experience. The Artificial Neural Networks (ANN) and Deep Learning course provided a comprehensive introduction to neural networks and deep learning techniques. The course effectively covered both theoretical foundations and practical applications, making complex concepts like backpropagation, activation functions, and optimization techniques easier to grasp. Hands-on assignments with popular frameworks like TensorFlow and PyTorch were particularly useful for applying knowledge to real-world problems.
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Tribhuwan Singh

4.0

★★★ ★ ☆
“Highlight of Your Learning Experience in Introduction to Neural Networks and Deep Learning”
I enjoyed the comprehensive overview of neural networks and their applications in various fields. The hands-on exercises helped solidify my understanding of concepts like activation functions and backpropagation. The practical examples showcased how deep learning can be applied to solve real-world problems, such as image and speech recognition. Additionally, the discussions on different neural network architectures provided valuable insights into their strengths and weaknesses, making the learning experience both engaging and informative.
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Ishrath Aliya

5.0

★★★★ ★
“Introduction to Neural Networks and Deep Learning”
The course "Introduction to Neural Networks and Deep Learning" offers several appealing aspects: 1. Clear Conceptual Foundation: It starts with fundamental concepts, making it easier for beginners to understand how neural networks work, including perceptrons, layers, and how learning happens through backpropagation. 2. Hands-on Learning: The course often includes practical examples and coding exercises using Python and libraries like TensorFlow or Keras, allowing learners to implement networks and immediately see results.
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Mahad Khalid Ghafoor

5.0

★★★★ ★
“Learning Outcomes from This Course Were Very Helpful”
I really enjoyed this course as it really helped me with new learning of TensorFlow and Keras to kickstart my journey in artificial intelligence.
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Md Sad Akkas

5.0

★★★★ ★
“I Found the Course Content to Be Well-Structured and Easy to Follow”
I particularly appreciated the way the course content was broken down into manageable modules. Each module built upon the previous one, making it easy to follow the progression of the material.
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Angel Malar

5.0

★★★★ ★
“Videos Are Easy to Understand and Very Useful to Cover Extra Topics”
The 'Introduction to TensorFlow and Keras' course provided a clear and practical foundation to get started with deep learning. The explanations are easy to follow, and the hands-on examples made complex concepts like neural networks, tensors, and model building much more accessible.
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Daria Gorbunova

5.0

★★★★ ★
“Very Informative and Interesting Topic, Well Explained and Presented”
It was easy to follow the course. I really enjoyed the in-depth practical demos and felt it was easy to follow along and try it out for myself!
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Shalomi Vithana

5.0

★★★★ ★
“Great Introduction to TensorFlow for Beginners!”
I thoroughly enjoyed the online course about TensorFlow. The lessons were well-structured, making complex concepts easy to understand. I particularly liked the hands-on projects, which allowed me to apply what I learned in real-world scenarios. The instructor was knowledgeable and responsive to questions, enhancing the overall learning experience. This course has greatly improved my confidence in using TensorFlow for machine learning projects!
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A A KHATANA

5.0

★★★★ ★
“TensorFlow Course on Google Colab Using Python”
This is a nicely structured TensorFlow course on Google Colab using Python.
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Chaima Zaâbi

4.0

★★★ ★ ☆
“Introduction to TensorFlow, Python for Data Analysis”
I like everything in the course, the instructors, and the content.
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Free TensorFlow Course with Certificate

Our free TensorFlow courses offer an in-depth exploration of TensorFlow, Google's open-source library designed for machine learning and artificial intelligence. These courses cover foundational principles of AI and machine learning and extend to the sophisticated applications of TensorFlow, focusing on neural networks and deep learning. You'll understand how TensorFlow can be applied across different computing platforms including CPUs, GPUs, and TPUs.

Key Highlights of Our Free TensorFlow Courses Collection

  • Versatile Learning Paths: Tailored for both beginners and experienced users, focusing on TensorFlow's capabilities from desktop to mobile and edge computing.

  • Real-World Applications: Experience how TensorFlow operates across different environments and tackle projects that mirror real-life challenges.

  • Comprehensive Coverage: Learn about the architecture of TensorFlow, its role in machine learning projects, and its practical applications in various industries.

Skills Covered

  • TensorFlow Basics: Get to grips with data flow graphs and understand how TensorFlow uses tensors to manage computations.

  • Deep Neural Network Training: Explore neural networks' layers, activation functions, and backpropagation process.

  • Advanced TensorFlow Features: Discover specialized applications like TensorFlow Graphics and TensorFlow.js, and learn how TPUs can optimize your machine learning processes.

  • Deployment Strategies: Master deploying TensorFlow models across various platforms efficiently, using tools like TensorFlow Serving and Kubeflow.

Who Should Take Our Free TensorFlow Courses?

  • Aspiring Data Scientists: Perfect for those beginning their journey in the fields of machine learning and artificial intelligence.

  • Software Developers: Ideal for developers eager to integrate AI functionalities into applications.

  • AI Researchers and Academics: Suitable for those involved in cutting-edge machine learning research.

  • Industry Professionals: Essential for professionals in sectors where AI and machine learning are transforming operations.

What Will You Learn in Our Free TensorFlow Courses?

  • Core AI and Machine Learning Concepts: Build a solid foundation in the essentials of machine learning and artificial intelligence.

  • Practical TensorFlow Training: Learn how to create and train deep neural networks using TensorFlow’s robust libraries.

  • Model Deployment Techniques: Learn to deploy models to production environments, enhancing your ability to handle real-world machine learning tasks.

  • Project-Based Learning: Apply your new skills to practical projects that challenge you to build and optimize models for large datasets.

After completing the courses, you'll not only possess a comprehensive understanding of TensorFlow’s applications in machine learning but also receive a certificate to validate your expertise in this field. This certification will strengthen your professional standing and expand your career opportunities in the burgeoning field of AI.

Meet your faculty

Meet industry experts who will teach you relevant skills in artificial intelligence

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Sunil Kumar Vuppala

Director-Data Science
  • ◆
    IIT Roorkee, IIM Ahmedabad alumnus with 20+ years of experience
  • ◆
    Director at Ericsson specializing in AI, ML, and analytics
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Frequently Asked Questions

What exactly is TensorFlow?

TensorFlow is a free, open-source software library designed to work with machine learning and artificial intelligence. It is used for a wide variety of tasks but is centered on working with training and interference of deep neural networks.

What is TensorFlow used for?

Tensorflow is used for a wide variety of tasks but is centered on working with training and interference of deep neural networks. It is a symbolic math library that works on the foundation of Google’s Dataflow and differentiable programming. The TensorFlow is capable of running on multiple CPUs and GPUs along with optional CUDA and SYCL extensions for general-purpose computing on graphics processing units

Is TensorFlow a programming language?

TensorFlow software is developed with the C++ programming language. To develop applications for this AI engine, developers can choose between C++ and Python, the most popular language among deep learning researchers.

Is TensorFlow difficult to learn?

Tensorflow industry experts say that it is a little hard to learn Tensorflow and even harder to use it. However, with the right guidance, it can be cracked a little easier. Enroll in Great Learning Academy to learn Tensorflow courses for free online. 

Can a beginner learn TensorFlow?

Yes! Everyone with computer science as their base can learn Tensorflow. Great Learning Academy will help any beginner learn Tensorflow courses for free online. 

Where can I learn TensorFlow for free?

There are a plethora of courses available online to learn Tensorflow. To avail the best course with a certificate, enroll in Great Learning Academy and learn Tensorflow courses for free online. 

Is TensorFlow for AI or machine learning?

Tensorflow serves as an open-source free library for both Machine Learning applications and AI applications. So it works as a solution for both of them. 

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