Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing.
Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.
Course Details
Course Details
What You'll Learn
Topic 1 Get started with Real-Time Intelligence in Microsoft Fabric
What is real-time data analytics?
Real-Time Intelligence in Microsoft Fabric
Ingest and transform real-time data
Store and query real-time data
Visualize real-time data
Automate actions
Explore Real-Time Intelligence in Fabric
Topic 2 Use real-time eventstreams in Microsoft Fabric
Components of eventstreams
Eventstream sources and destinations
Eventstream transformations
Ingest real-time data with Eventstream in Microsoft Fabric
Topic 3 Work with real-time data in a Microsoft Fabric eventhouse
Get started with an eventhouse
Use KQL effectively
Materialized views and stored functions
Work with data in a Microsoft Fabric eventhouse
Topic 4 Create Real-Time Dashboards with Microsoft Fabric
Get started with real-time dashboards
Advanced features
Real-Time Dashboard best practices
Get started with real-time dashboards
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 21-65 years old
Minimum Software/Hardware Requirement
Software:
You can download and install the following software:
Hardware: Windows and Mac Laptops
Job Roles
Job Roles
- Real-Time Data Engineer
- Data Streaming Specialist
- Data Analyst
- Business Intelligence Developer
- Cloud Data Engineer
- Machine Learning Engineer
- Event-Driven Architect
- IoT Data Analyst
- Database Administrator
- Solutions Architect
- Data Science Engineer
- KQL Query Specialist
- ETL Developer
- Data Pipeline Engineer
- AI & Automation Engineer
- Cloud Solutions Architect
- Big Data Analyst
- DevOps Engineer for Data Pipelines
- Data Governance Specialist
- IT Infrastructure Manager
Trainers
Trainers
Review
Customer Reviews (7)
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. (Posted on 3/13/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Will Recommend Review by Course Participant/Trainee
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Check that the SD card is properly programmed and software working (Posted on 10/2/2019)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Will Recommend Review by Course Participant/Trainee
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. (Posted on 9/25/2019)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Might Consider Review by Course Participant/Trainee
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, (Posted on 8/14/2019)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Will Recommend Review by Course Participant/Trainee
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. (Posted on 5/8/2019)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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