Machine Learning with TensorFlow
in Web Development
Created by
Jade Harrison
About this course
Machine Learning with TensorFlow is a 5-day hands-on training course designed to give participants a practical foundation in machine learning using one of the world’s most powerful frameworks—TensorFlow. Through live coding, real-world datasets, and interactive labs in Google Colab or Jupyter, learners explore everything from data preprocessing to neural networks and model deployment.
Led by Australian Teachers, this immersive workshop covers the entire machine learning pipeline—from loading and cleaning data to building, training, evaluating, and deploying ML models. You'll work with deep learning techniques such as hidden layers, dropout, and activation functions, and understand how to avoid overfitting. You’ll also gain exposure to industry applications in healthcare, finance, and retail, and learn ethical best practices in AI development. The program concludes with a team project presentation, giving learners a chance to apply their skills in real-world scenarios.
Led by Australian Teachers, this immersive workshop covers the entire machine learning pipeline—from loading and cleaning data to building, training, evaluating, and deploying ML models. You'll work with deep learning techniques such as hidden layers, dropout, and activation functions, and understand how to avoid overfitting. You’ll also gain exposure to industry applications in healthcare, finance, and retail, and learn ethical best practices in AI development. The program concludes with a team project presentation, giving learners a chance to apply their skills in real-world scenarios.
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Course Syllabus
1 Parts
Machine Learning with TensorFlow Syllabus
0.78 MB
Courses
3 Parts
Introduction
1.99 MB
Machine-Learning-with-TensorFlow
0.73 MB
Final Assessment
5 Questions
10 Min
Passed grade: 65/100
Attempts: 0/
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