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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 Deep Learning
star   4.46 131K+ learners 1.5 hrs
Introduction to Deep Learning

Skills: Deep learning, artificial neural networks (ANNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), LSTM, activation functions, deep neural networks (DNNs), TensorFlow, Boolean gates, perceptrons, chatbots, neural network demos

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Introduction to Neural Networks and Deep Learning
star   4.57 69.1K+ 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 23.1K+ 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 13.2K+ learners 2.5 hrs
TensorFlow Python

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

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free icon BASICS
Introduction to Deep Learning
Introduction to Deep Learning
star   4.46 131K+ learners 1.5 hrs

Skills: Deep learning, artificial neural networks (ANNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), LSTM, activation functions, deep neural networks (DNNs), TensorFlow, Boolean gates, perceptrons, chatbots, neural network demos

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free icon BASICS
Introduction to Neural Networks and Deep Learning
Introduction to Neural Networks and Deep Learning
star   4.57 69.1K+ learners 2.5 hrs

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

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free icon BASICS
Introduction to Tensorflow and Keras
Introduction to Tensorflow and Keras
star   4.54 23.1K+ learners 3.5 hrs

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

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free icon BASICS
TensorFlow Python
TensorFlow Python
star   4.46 13.2K+ learners 2.5 hrs

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

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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.
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Reviewer Profile
Hariharan M V linkedin icon

5.0

★★★★ ★
Country Flag India
“Great Learning: An Excellent Platform for Deep Learning”
Great Learning is an excellent platform for learning deep learning! The courses are well-structured, with comprehensive content that covers both theoretical concepts and hands-on practice. The platform provides a rich learning experience, supported by practical projects and real-world examples. The instructors are knowledgeable, and the community is very supportive, making it a fantastic resource for anyone looking to build expertise in deep learning. I highly recommend it for anyone interested in diving deep into the field!
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Reviewer Profile
Gowri Shankar linkedin icon

4.0

★★★ ★ ☆
Country Flag India
“Very Good for Learning on This Platform”
Great Learning offers a user-friendly platform with high-quality courses and knowledgeable instructors. The blend of theory and practical projects enhances learning. Community engagement is a strong point, fostering collaboration. However, more interactive elements and timely feedback on assignments would further improve the experience. Overall, a valuable learning resource.
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Reviewer Profile
rabijyoti sur linkedin icon

5.0

★★★★ ★
Country Flag India
“The Course Material Was Well-Organized and Highly Relevant”
The course material was well-organized and highly relevant. I appreciated the depth of coverage on key topics, which really helped me understand the subject matter thoroughly. The inclusion of real-world examples made the concepts more relatable and easier to grasp.
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Raj Yadav linkedin icon

5.0

★★★★ ★
Country Flag India
“Engaging Experience with an Excellent Instructor”
I thoroughly enjoyed the course, particularly the depth of the topics covered and the engaging teaching style of the instructor. The curriculum was well-structured and easy to follow, making complex concepts accessible. The quizzes and assignments reinforced my understanding, and I felt supported throughout the learning process. Overall, this experience has significantly enhanced my skills and confidence in this subject.
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Reviewer Profile
ADITYA KEDAR linkedin icon

5.0

★★★★ ★
Country Flag India
“Insightful and Comprehensive Deep Learning Introduction”
The "Introduction to Deep Learning" course on Great Learning was an excellent starting point. It covered foundational concepts clearly and included hands-on projects with tools like TensorFlow and Keras. The course made complex topics easy to understand, and I gained practical experience. It’s a great choice for anyone beginning their deep learning journey!
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Reviewer Profile
Vaibhav Kumar linkedin icon

5.0

★★★★ ★
Country Flag India
“Personalized Learning Path Adapts Content and Difficulty”
Personalized Learning Path adapts content and difficulty based on the user’s progress and preferences, ensuring a tailored experience. Gamified Progress incorporates challenges, rewards, and leaderboards to motivate users and make learning enjoyable. Instant Feedback & Corrections provide real-time corrections and detailed explanations to help users understand mistakes and improve.
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Reviewer Profile
Santhana Krishnan linkedin icon

5.0

★★★★ ★
Country Flag India
“Great Step Towards Deep Learning, Awesome Course”
Great step towards deep learning, awesome course. Love to do more such courses.
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Reviewer Profile
Aishi Mondal linkedin icon

5.0

★★★★ ★
“Highlight of My Learning Experience in Deep Learning”
I thoroughly enjoyed the Introduction to Deep Learning course. It provided a foundation in neural networks in an easy-to-understand way. I particularly liked the hands-on exercises that helped me build and train basic models, giving me confidence to dive deeper into more complex architectures. The course was engaging and insightful, making deep learning both approachable and exciting to explore further.
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Reviewer Profile
Vinayak Venkappa Pujeri linkedin icon

5.0

★★★★ ★
Country Flag India
“Enhanced Understanding of Neural Networks and Machine Learning”
I really enjoyed learning about the practical applications of machine learning algorithms, especially neural networks. The hands-on approach helped me connect theory with real-world tasks. I also appreciated the detailed explanations and examples that clarified complex concepts, making learning more engaging and impactful.
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Reviewer Profile
Abhishek Kumar Gupta linkedin icon

5.0

★★★★ ★
“Introduction to Deep Learning”
The course provides a clear and comprehensive introduction to deep learning concepts. The practical examples really helped solidify my understanding.
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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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