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Applied Machine Learning: Deep Learning for Industry
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Gain insights into industry-level machine learning by applying advanced TensorFlow and Python techniques. Explore efficient methods for creating scalable models, from data pipelines to deployment and inference.

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Overview

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In this course, you'll level up your skills learned in the Industry Case Study and Machine Learning for Software Engineers. You'll take the modeling and data pipeline concepts and apply them to production-level classification and regression models for industry deployment, while continuing to practice the most efficient techniques for building scalable machine learning models. After this course, you will be able to complete industry-level machine learning projects, from data pipeline creation to model deployment and inference. The code for this course is built around the TensorFlow framework, one of the premier frameworks for industry machine learning, and the Python pandas library for data analysis. Knowledge of Python and TensorFlow are prerequisites. This course was created by AdaptiLab, a company specializing in evaluating, sourcing, and upskilling enterprise machine learning talent. It is built in collaboration with industry machine learning experts from Google, Microsoft, Amazon, and Apple.

In this course, you'll level up your skills learned in the Industry Case Study and Machine Learning for Software Engineers. You'...Show More

Content

26 Lessons2 Quizzes15 Challenges

What you'll learn in this course

1 Lessons

Get familiar with practical machine learning applications for industry, from data processing to model interpretation.

Overview

Data Pipeline

11 Lessons

Walk through creating efficient data pipelines with TensorFlow for handling large datasets.

Model Execution

14 Lessons

Work your way through model execution, training, evaluation, and making predictions using TensorFlow.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Adaptilab

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