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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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img icon BASICS
Introduction to Neural Networks and Deep Learning
star   4.57 68.8K+ 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 13K+ learners 2.5 hrs
TensorFlow Python

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

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img icon BASICS
Introduction to Neural Networks and Deep Learning
Introduction to Neural Networks and Deep Learning
star   4.57 68.8K+ learners 2.5 hrs

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

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img icon BASICS
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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img icon BASICS
TensorFlow Python
TensorFlow Python
star   4.46 13K+ learners 2.5 hrs

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

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Mayur Hire linkedin icon

5.0

★★★★ ★
Country Flag India
“The Course was Interactive and Provided Real-World Applications that Enhanced My Understanding”
I particularly appreciated the depth of the topics covered, which went beyond the basics and allowed for a comprehensive understanding of the subject matter. The quizzes and assignments were well-designed, reinforcing what I learned and providing valuable feedback. Overall, the course was easy to follow, and the resources provided were helpful in facilitating my learning journey. I would definitely recommend it to others looking to deepen their knowledge in this area.
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Soham Ingole linkedin icon

5.0

★★★★ ★
Country Flag India
“In Neural Networks, Non-Linearity is Introduced by Activation Functions like ReLU, Allowing the Model to Capture Complex Patterns”
I thoroughly enjoyed the course! It was well-structured, with clear explanations and hands-on examples that helped me grasp key concepts. The instructor's teaching style was engaging, and the use of real-world applications made the content both practical and interesting. The pace was perfect, and I appreciated the balance between theory and implementation. Overall, the course enhanced my understanding significantly and provided valuable insights that I can apply to future projects. I would highly recommend it to anyone looking to deepen their knowledge in this field.
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Paritosh Gupta linkedin icon

5.0

★★★★ ★
Country Flag India
“Exploring the Fundamentals of Neural Networks and Deep Learning”
I found the introduction to neural networks and deep learning fascinating, especially learning how networks mimic the human brain to solve complex problems. The concept of layers—input, hidden, and output—along with activation functions, was insightful. Understanding how deep learning models can automatically extract features and improve accuracy through backpropagation was eye-opening. The practical applications, from image recognition to natural language processing, made it even more exciting!
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Borjana Roçi linkedin icon

4.0

★★★ ★ ☆
Country Flag United Kingdom
“Clear Explanation of Concepts: Your Course Does a Great Job Breaking Down Complex Topics into Understandable Chunks”
I recently completed the 'Introduction to Neural Networks and Deep Learning' course through Great Learning. The course provided a comprehensive introduction to fundamental concepts in neural networks, including real neurons, overfitting techniques, and the architecture of different neural network types like CNNs and RNNs. I highly recommend this course to anyone looking to deepen their understanding of neural networks and apply these concepts in real-world scenarios.
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Gautam Patil linkedin icon

5.0

★★★★ ★
Country Flag India
“Insightful Introduction to Neural Networks and Deep Learning”
The Introduction to Neural Networks and Deep Learning course provided clear explanations of key concepts, making complex topics accessible. Practical exercises and examples reinforced learning, offering a strong foundation in neural networks and deep learning fundamentals. Highly recommend for beginners and intermediate learners alike!
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Sudhanshu Kumar Sudhakar linkedin icon

5.0

★★★★ ★
“It was an Amazing Experience. The Depth of the Course was Beautiful”
My learning journey has been rewarding and insightful, allowing me to explore diverse topics and solve real-world challenges. I’ve gained a deeper understanding of neural networks, CNNs, RNNs, and dropout techniques while improving my problem-solving and communication skills. Breaking down complex topics into simpler ideas has been fulfilling, fostering curiosity and clarity in both myself and others. Guiding others step-by-step has enhanced my ability to explain concepts effectively and work collaboratively.
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Meghana vastrad linkedin icon

5.0

★★★★ ★
Country Flag India
“It was a Great Course for Introduction of CNN”
Taking a course on Convolutional Neural Networks (CNNs) has been an incredibly rewarding experience, and there are several aspects of the course that I particularly appreciated. One of the most compelling features was the hands-on, practical approach to learning. CNNs are a powerful tool in deep learning, especially for image recognition tasks, and this course did an excellent job of not only explaining the theory behind CNNs but also demonstrating how to implement and experiment with them.
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Vedh Kamble linkedin icon

5.0

★★★★ ★
Country Flag India
“Knowledgeable Instructor, Good Practical Explanation”
The instructor's explanation was outstanding, clearly understandable, and with proper grammar and fluency. The topics and content in each video were really deep and important. Apart from that, the practical understanding of concepts was also good. I learned something new about ANN practicing.
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Harshil Pancharia linkedin icon

5.0

★★★★ ★
Country Flag India
“Overall I Enjoyed the Whole Course, It Helped Me to Get a Decent Idea of Machine Learning”
Overall I enjoyed the whole course, It helped me to get a decent idea of machine learning.
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Jay Hiwase linkedin icon

5.0

★★★★ ★
Country Flag India
“This Course was Easy to Follow Especially the Structure from Basics”
The topic was quite new to me, but the course is so good that I don't have any doubt on my basics.
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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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