01
How Google Does Machine Learning
Develop a data strategy around machine learning.
Examine use cases that are then reimagined through an ML lens.
Recognize biases that ML can amplify.
Leverage Google Cloud Platform tools and environment to do ML.
Learn from Google's experience to avoid common pitfalls.
Carry out data science tasks in online collaborative notebooks.
Invoke pre-trained ML models from Cloud AI Platform.
02
Launching into Machine Learning
Describe how to improve data quality.
Perform exploratory data analysis.
Build and train supervised learning models.
Optimize and evaluate models using loss functions and performance metrics.
Mitigate common problems that arise in machine learning.
Create repeatable and scalable training, evaluation, and test datasets.
03
Introduction to TensorFlow 2.x
Create TensorFlow 2.x and Keras machine learning models.
Describe Tensorflow 2.x key components.
Use the tf.data library to manipulate data and large datasets.
Use the Keras Sequential and Functional APIs for simple and advanced model creation.
Train, deploy, and productionalize ML models at scale with Cloud AI Platform.
04
Feature Engineering
Compare the key required aspects of a good feature.
Combine and create new feature combinations through feature crosses.
Perform feature engineering using BQML, Keras, and TensorFlow 2.x.
Understand how to preprocess and explore features with Cloud Dataflow and Cloud Dataprep.
Understand and apply how TensorFlow transforms features.
05
The Art and Science of ML
Optimize model performance with hyperparameter tuning.
Experiment with neural networks and fine-tune performance.
Enhance ML model features with embedding layers.
06
Summary
Summary
Trần Tuấn Anh
IT
Nguyễn Ngọc Minh Thy
Data Engineer
Trương Quốc Thắng
Data Engineer
Phạm Văn Hùng
IT
Dương Minh Phương
Engineer
Cloud Ace is a Google Cloud training unit, so it does not organize exams and provide Google Cloud certifications. Cloud Ace only supports providing certificates of course completion for students while waiting for the Google Cloud certification exam
In addition, if you want to take the Google Cloud certification exam, Cloud Ace will guide you to register for the Online or Offline exam at the authorized Google Cloud test centers in Vietnam.
Of course, during the learning process, you will constantly be solving quizzes, simulated mock tests that are similar to Google Cloud's actual exam questions. In addition, Cloud Ace also provides Dump questions that are constantly updated with question types, exam questions from Google Cloud to help you have the best preparation for the exam.
Of course. You will be supported by Cloud Ace during the learning process and even at the end of the course. You can interact with the Trainer via Slack, email hoặc qua Group Google Cloud Plartform User HCM để được các Trainer hỗ trợ nhé.
After completing the course, if you have any questions about the knowledge or have difficulties in implementing the project on Google Cloud, you can contact the Trainer for answers.
The Google Cloud course is not only suitable for software engineers or system development engineers, but also suitable for data processing engineers such as Data Analytics, Data Engineer, Data Scientist.
In addition, if you are a Marketer or working in the field of finance, banking, e-commerce, logistics .... constantly faced with big data to solve, then you can refer to the courses Big Data Machine Learning Fundamental or From Data to Insight on Google Cloud Platform courses to refer to simple data processing and create professional reports on Google Cloud.
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