Microsoft DirectX Training Course.


DirectX12 

DirectX 12 is an expert API which builds on knowing the ins & outs of DirectX 11. DirectX 12 is an extremely low-level API designed for graphic experts who have a solid understanding of the architecture of modern GPU hardware, and can essentially write the DirectX 11 Runtime from scratch. Both DirectX 11 and DirectX 12 provide access to the same hardware features on Windows 10, but drive the hardware in different ways which can allow a well-optimized DirectX 12 engine to achieve much lower CPU overhead than in DirectX 11.

 

 

Course Outline

1. DIRECT 3D FOUNDATIONS

· Direct3D 12 Overview

· Textures Formats

· Depth Buffering

· Resources and Descriptors

· Multisampling in Direct3D

 

2. DirectX Graphics Infrastructure

· Checking Feature Support

· CPU/GPU Interaction

· The Command Queue and Command Lists

· CPU/GPU Synchronization

· Resource Transitions

· Multithreading with Commands

 

3. Initializing Direct3D

· Create the Device

· Create the Fence and Descriptor Sizes

· Create Command Queue and Command List

· Describe and Create the Swap Chain

· Create the Render Target View

· Create the Depth/Stencil Buffer and View

· Set the Viewport

 

4. Timing and Animation

· The Performance Timer

· Game Timer Class

· Time Elapsed Between Frames

· Total Time

· The Demo Application Framework

· D3DApp

 

5. The Rendering Pipeline

· The 3D Illusion

· Model Representation

· Basic Computer Color

· Color Operations

· Overview of the Rendering Pipeline

· The Input Assembler Stage

· Primitives with Adjacency

· Control Point Patch List

 

6. Drawing in Direct3D

· Vertices and Input Layouts

· Vertex Buffers

· Indices and Index Buffers

· Example Vertex Shader

· Input Layout Description and Input Signature Linking

· Example Pixel Shader

· Constant Buffers

7. Drawing in Direct 3D Part II

· Frame Resources

· Render Items

· Pass Constants

· Shape Geometry

· Generating a Cylinder Mesh

· Cylinder Side Geometry

· Cap Geometry

· Generating a Sphere Mesh

 

8. Lighting

· Light and Material Interaction

· Normal Vectors

· Computing Normal Vectors

· Transforming Normal Vectors

· Important Vectors in Lighting

· Lambert’s Cosine Law

· Diffuse Lighting

· Ambient Lighting

· Specular Lighting

 

9. Texturing

· Texture and Resource Recap

· Texture Coordinates

· Texture Data Sources

· DDS Overview

· Creating DDS Files

· Creating and Enabling a Texture

· Loading DDS Files

 

10. The Geometry Shader

· Programming Geometry Shaders

· Tree Billboards Demo

· Vertex Structure

· The HLSL File

· Alpha-to-Coverage

 

11. Normal Mapping

· Normal Maps

· Texture/Tangent Space

· Vertex Tangent Space

· Normal Mapping Shader Code

 

12. Windows Programming

· Events, the Message Queue, Messages, and the Message Loop

· Basic Windows Application

· Explaining the Basic Windows Application

· Includes, Global Variables, and Prototypes

· WinMain

· WNDCLASS and Registration

· Creating and Displaying the Window

· The Message Loop

· The Window Procedure

 

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

Mobile +94 0716092918

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Xamarin Mobile Application Development Training at Softlogic Holdings Colombo, Sri Lanka


Xamarin

http://www.softlogic.lk/

Recently I did Xamarin Mobile Application Development training at Softlogic Holdings Colombo.

Xamarin

I covered following topics at the training.

https://uditha.wordpress.com/2017/05/11/developing-cross-platform-apps-with-c-using-xamarin-course/

Xamarin

Xamarin

13 Software developers from IT Department attended 4 Days Xamarin training.

Xamarin

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

Mobile +94 0716092918

Xamarin Mobile Application Development Training at IFS Colombo.


 

Recently I did Xamarin Mobile Application Development training at IFS Colombo.

I covered following topics at the training.

1. Xamarin for Mobile Development

2. Cross-Platform Development with Xamarin.Forms

3. Architecting Solutions for Cross-Platform Development

4. Xamarin Form User Interface

5. Xamarin. Essentials

6. Data-Binding

7. Customizing Xamarin Forms

8. Testing

9. Deployment

Six Software developers from IFS attended 3 days training.

https://www.ifsworld.com/ca/

About Microsoft Xamarin –

 

 

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

Mobile +94 0716092918

Azure Machine Learning Workshop at Sri Lanka Institute of Information Technology (SLIIT).


Recently I had conducted  Machine Learning and AI workshop at Sri Lanka Institute of Information Technology (SLIIT).  Around 40 attended the workshop.SLIIT Students and Academic staff attended the workshop.

Topics covered at the workshop-

https://uditha.wordpress.com/2017/11/15/big-data-and-machine-learning-workshop-sri-lanka/

All Images are Copyrighted under FCMC 2018

Azure Machine Learning Data Science workshop at Jakarta, Indonesia.


In partnership with Algoritma Indonesia I will be conducting Azure Machine Learning workshop at Jakarta.

 

Workshop Details-

https://algorit.ma/ds-course/azure-machine-learning-workshop/

 

Data Science Bootcamp Training – Sri Lanka | Singapore


image

This 3 days training focus on getting started with Data Science technologies. You will learn Azure machine learning studio, R studio, Jupyter Notebook , Spyder with Python for data science. This course includes real world usage of machine learning for regression, classification and product recommendations.

Day 1

Introduction to Machine Learning

This module introduces machine learning and discussed how algorithms and languages are used.

Lessons

· What is machine learning?

· Introduction to machine learning algorithms

· Introduction to machine learning languages

 

Introduction to Azure Machine Learning

Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.

Lessons

· Azure machine learning overview

· Introduction to Azure machine learning studio

· Developing and hosting Azure machine learning applications

Managing Datasets

At the end of this module the student will be able to explore various types of data in Azure machine learning.

Lessons

· Categorizing your data

· Importing data to Azure machine learning

· Exploring and transforming data in Azure machine learning

Building Azure Machine Learning Models

This module describes how to use regression algorithms and neural networks with Azure machine learning.

Lessons

· Azure machine learning workflows

· Using regression algorithms

· Using neural networks

Using Azure Machine Learning Models

This module explores how to provide end users with Azure machine learning services, and how to share data generated from Azure machine learning models.

Lessons

· Deploying and publishing models

· Consuming Experiments

 

 

Day 2

Introduction to R

· Using the R console

· Learning about the environment

· Writing and executing scripts

· Object oriented programming

· Installing packages

· Working directory

· Saving your work

 

Variable types and data structures

· Variables and assignment

· Data types

· Numeric, character, boolean, and factors

· Data structures

· Vectors, matrices, arrays,

· Assigning new values

· Viewing data and summaries

 

Base graphics system in R

· Scatterplots, histograms, barcharts, box and whiskers, dotplots

· Labels, legends, titles, axes

· Exporting graphics to different formats

General linear regression

· Linear and logistic models

· Regression plots

· Interaction in regression

Day 3

Introduction to Python

· Python History

· Users of Python

· Installing Python

· Installing IDE

 

Datatypes

· Numbers

· Sequences

· File

· Tuples

· Dictionaries

 

Data Science Intro

· Why Python for Data Science

· Popular packages

· Use cases

· Popular Libraries

· Panda

· Numpy

· Matplotlib

· Scikit-learn

 

Working with data

· Reading & Writing to different data sources

· Cleaning data

· Visualisation

· Data Transformation

 

Conducted by-

Uditha Bandara (MVP) is specializes in Microsoft  development , AI, Mobile App, Cloud and Software Testing technologies.  He is the South East Asia`s First XNA/DirectX MVP (Most Valuable Professional).  He had delivered sessions at various events and conferences in Hong Kong, Malaysia, Singapore, Indonesia, Sri Lanka and India. He has published several books, articles, tutorials, and demos on his  Blog – https://uditha.wordpress.com

Contact    +94 071-6092918
udithamail@yahoo.com

udithait@gmail.com

Machine Learning and AI Workshop at Singapore.


Recently I had conducted  Machine Learning and AI workshop at NetAssist Singapore.  Around 15 attended the workshop. Employees from various IT companies and organizations attended the event.

Topics covered at the workshop-

https://uditha.wordpress.com/2017/11/15/big-data-and-machine-learning-workshop-sri-lanka/