Course Details
Topic 1 Google Cloud Big Data and Machine Learning Fundamentals
- Data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.
- Design streaming pipelines with Dataflow and Pub/Sub and dDesign streaming pipelines with Dataflow and Pub/Sub.
- Options to build machine learning solutions on Google Cloud.
- Machine learning workflow and the key steps with Vertex AI and build a machine learning pipeline using AutoML.
Topic 2 How Google does Machine Learning
- Vertex AI Platform and how it's used to quickly build, train, and deploy AutoML machine learning models without writing any code
- Best practices for implementing machine learning on Google Cloud
- Leverage Google Cloud tools and environment to do ML
- Responsible AI best practices
Topic 3 Launching into Machine Learning
- Improve data quality and perform exploratory data analysis
- Build and train AutoML Models using Vertex AI and BigQuery ML
- Optimize and evaluate models using loss functions and performance metrics
- Create repeatable and scalable training, evaluation, and test datasets
Topic 4 TensorFlow on Google Cloud
- Create TensorFlow and Keras machine learning models and describe their 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 Vertex AI.
Topic 5 Feature Engineering
- Describe Vertex AI Feature Store and compare the key required aspects of a good feature.
- Perform feature engineering using BigQuery ML, Keras, and TensorFlow.
- Discuss how to preprocess and explore features with Dataflow and Dataprep.
- Use tf.Transform.
Topic 6 Machine Learning in the Enterprise
- Describe data management, governance, and preprocessing options
- Identify when to use Vertex AutoML, BigQuery ML, and custom training
- Implement Vertex Vizier Hyperparameter Tuning
- Explain how to create batch and online predictions, setup model monitoring, and create pipelines using Vertex AI
Topic 7 Production Machine Learning Systems
- Compare static versus dynamic training and inference
- Manage model dependencies
- Set up distributed training for fault tolerance, replication, and more
- Export models for portability
Topic 8 Machine Learning Operations (MLOps)
- Core technologies required to support effective MLOps.
- Adopt the best CI/CD practices in the context of ML systems.
- Configure and provision Google Cloud architectures for reliable and effective MLOps environments.
- Implement reliable and repeatable training and inference workflows.
- ML Pipelines on Google Cloud
Course Info
Prerequisite
This course is for beginner. No programming or coding knowledge is required. ;
Software Requirement
Please sign up a Google Cloud Platform (GCP) account on https://cloud.google.com/
HRDF Funding
Please refer to this video https://youtu.be/Kzpd-V1F9Xs
1- HRD Corp Grant Helper
How to submit grant applications for HRD Corp Claimable Courses
2- Employers are required to apply for the grant at least one week before training commences.
Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.
3- First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my
Second, Click Application
4- Click Grant on the left side under Applications
5- Click Apply Grant on the left side under Applications
6- Click Apply
7- Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply
8- Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:
9- Select your Immediate Officer and click Next
10- Select a Training Provider, then click Next
11- Please select a training programme from the list, then key in all the required details and click Next
Select your desired training programme.
Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.
Explain the background and objective of this training.
Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.
12- If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next
Insert MiCAS Application number
13- Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:
14- Please select a Course Title and Type of Training
15- Select the correct type of training according to the actual type of training, or as mentioned in the training brochure:
16- Please key in the Training Location and click Next
17- Please select the Level of Certification and click Next
18- Please follow the instructions and key in trainee details
19- Click Add Batch, then click Save
20- Click Add Trainee Details
21- Please key in all the required details, then click Add
22- Click Add if there are more participants. Once done, click Save
23- Click Next
24- Please key in the course fees and allowance details, then click Save
25- Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.
26- Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next
27- Complete the declaration form and select a desired officer
28- Add all the required documents, then click Add Attachment. Then, click Save and Submit Application
29- Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.
The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.
Job Roles
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Data Analyst
- Software Engineer
- Cloud Solutions Architect
- Research Scientist
- Application Developer
- Big Data Engineer
- Business Intelligence Developer
- Robotics Engineer
- Quantitative Analyst
- Systems Analyst
- Product Manager
- Technical Program Manager
Trainers
Ajay B : Ajay is a ACLP certied trainer. Ajay is a vendor neutral cloud consultant and training expert on Cloud , with several Private cloud deployments in India and cloud migration knowledge .He is a Cloud and DevOps enthusiast with consulting, deployment and training expertise on OpenStack, AWS, Google Cloud ,Azure, Jenkins, and Docker
Ajay has 18 + years Industry experience as IT entrepreneur and 9 years in Cloud and Devops technical consulting, implementation and training area, currently working in capacity of Vice President – Cloud and Devops services handling singapore and India
Anil Bidari: Anil is a ACLP certified trainer. He is an Enterprise Cloud and DevOps Consultant , responsible for helping clients to move Virtual data centre to Private Cloud based on OpenStack and Public Cloud ( AWS, Azure and Google cloud) . Consulting and training experience on Devops tool chain like github , Jenkins, Sonarqube, Docker & kubernetes, Cloud foundry, Openshift, Ansible and SaltStack. Lot of my Role is involved design and implementation of a solution and training