Advanced Machine Learning with TensorFlow on Google Cloud Platform (MLTF)

 

Course Overview

This course will give you hands-on experience optimizing, deploying, and scaling a variety of production ML models. You’ll learn how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text, along with recommendation systems.

Who should attend

  • Data Engineers and programmers interested in learning how to apply machine learning in practice
  • Anyone interested in learning how to leverage machine learning in their enterprise

Certifications

This course is part of the following Certifications:

Prerequisites

To get the most out of this course, participants should have:

  • Knowledge of machine learning and TensorFlow to the level covered in Machine Learning on Google Cloud coursework
  • Experience coding in Python
  • Knowledge of basic statistics
  • Knowledge of SQL and cloud computing (helpful)

Course Objectives

This course teaches participants the following skills:

  • Implement the various flavors of production ML systems—static, dynamic, and continuous training; static and dynamic inference; and batch and online processing
  • Solve an ML problem by building an end-to-end pipeline, going from data exploration, preprocessing, feature engineering, model building, hyperparameter tuning, deployment, and serving
  • Develop a range of image classification models from simple linear models to high-performing convolutional neural networks (CNNs) with batch normalization, augmentation, and transfer learning
  • Forecast time-series values using CNNs, recurrent neural networks (RNNs), and LSTMs
  • Apply ML to natural language text using CNNs, RNNs, LSTMs, reusable word embeddings, and encoder-decoder generative models
  • Implement content-based, collaborative, hybrid, and neural recommendation models in TensorFlow

Prices & Delivery methods

Online Training

Duration
5 days

Price
  • US$ 2,995.—
Classroom Training

Duration
5 days

Price
  • Singapore: US$ 2,995.—
  • India: US$ 1,495.—

Click on town name or "Online Training" to book Schedule

North America

United States

Online Training Time zone: Central Daylight Time (CDT) Course language: English
Online Training Time zone: Eastern Daylight Time (EDT) Course language: English
Online Training Time zone: Pacific Daylight Time (PDT) Course language: English
Online Training Time zone: Central Standard Time (CST) Course language: English

Canada

Online Training Time zone: Pacific Daylight Time (PDT) Course language: English
Online Training Time zone: Central Daylight Time (CDT) Course language: English
Online Training Time zone: Eastern Daylight Time (EDT) Course language: English
Online Training Time zone: Pacific Daylight Time (PDT) Course language: English
Online Training Time zone: Central Standard Time (CST) Course language: English
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.