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Machine learning and AI Bootcamp training at Colombo , Sri Lanka.


Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

Recently I did Data Science and Machine learning Bootcamp training at Sri Lanka.

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

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

Course Outline –

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

Introduction to Python

• Python History

• Installing Python

• Installing IDE

Data types

• 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

• Visualization

• Data Transformation

Introduction to Deep Learning

· Deep learning basics

· Deep learning tools

· Introduction to neural network

· CNN, ANN, RNN neural network

Introduction to Tensor Flow

· Installing Tensor Flow

· Tensor Flow basics

· Basic Neural Networks using tenser flow

· Advanced Neural Networks using tenser flow (CNN, RNN, ANN)

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

24  software engineers attended 3 Days of training.

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

Data Science and Machine Learning September 2019 Workshop Sri Lanka.


Data Science and Machine Learning Workshop Sri Lanka.

Few days ago I had conducted the workshop on Data Science and Machine Learning. Around 10 attended the workshop.Employees from Mobitel, Expo Freight (EFL)and Abanse came to the event.

Data Science and Machine Learning Workshop Sri Lanka.

Data Science and Machine Learning Workshop Sri Lanka.

Topic covered at the workshop-

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

Data Science and Machine Learning Workshop Sri Lanka.

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

AI , Data Science and Machine Learning Workshop at ICBT.


AI , Data Science and Machine Learning Workshop sri lanka

Recently I did 2 Days AI , Data Science and Machine Learning Workshop at ICBT for HND students.

I covered following topics at the training.

Introduction to Machine Learning

Introduction to Azure Machine Learning

Managing Data-sets

Building Azure Machine Learning Models

Using Azure Machine Learning Models

Using Cognitive Services

AI , Data Science and Machine Learning Workshop sri lanka

AI , Data Science and Machine Learning Workshop sri lanka

AI , Data Science and Machine Learning Workshop sri lanka

150 IT Students attended 2 days workshop.

AI , Data Science and Machine Learning Workshop sri lanka

AI , Data Science and Machine Learning Workshop sri lanka

AI , Data Science and Machine Learning Workshop sri lanka

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

Big Data Workshop Sri Lanka.


big-data

The main purpose of this workshop is to give students the ability to use Microsoft R Server to create and run an analysis on a large dataset, and show how to utilize it in Big Data environments, such as a Hadoop or Spark cluster, or a SQL Server database.

Module 1: Introduction to Big Data

Big Data – Current Industry Trends
Why Process Big Data?
Challenges in Data Processing
Why Hadoop?
Hadoop Network Structure
Hadoop Eco-System
Hadoop Core Components
Hadoop HDFS

Module 2: Exploring Big Data

Understanding ScaleR data sources
Reading data into an XDF object
Summarizing data in an XDF object

Module 3: Visualizing Big Data
Visualizing In-memory data
Visualizing big data

Module 4: Processing Big Data
Transforming Big Data
Managing datasets

Module 5: Parallelizing Analysis Operations
Using the RxLocalParallel compute context with rxExec
Using the revoPemaR package

 

Conducted by-
Uditha Bandara is specializes in Microsoft Development 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, Sri Lanka and India. He has published several books,articles, tutorials, and game demos on his Blog – https://uditha.wordpress.com

· Contact    +94 071-6092918

· udithamail@yahoo.com

· udithait@gmail.com

Cloud Technology Workshop.


In this one day workshop students will learn how to design and develop services that access local and remote data from various cloud platforms. Students will also learn different technologies associated with Microsoft cloud, Amazon Web Services and IBM cloud.

image

 

 

Overview of service and cloud technologies

· Key Components of Distributed Applications

· Data and Data Access Technologies

· Service Technologies

· Cloud Computing

Creating and consuming ASP.NET Web API services

· What are HTTP services?

· Creating an ASP.NET Web API service

· Handling HTTP requests and responses

· Hosting and consuming ASP.NET Web API services

Windows Azure Storage

· Introduction to Windows Azure Storage

· Windows Azure Blob Storage

· Windows Azure Table Storage

· Windows Azure Queue Storage

AN INTRODUCTION TO AMAZON WEB SERVICES

· A background of AWS and its needs

· The AWS Management Console

· AWS security measures

· AWS interaction through the SDK and IDE tools

· WORKING WITH AWS STORAGE SERVICES

· AWS storage options

· Working with Amazon EBS

· Working with AWS Glacier

MANAGED SERVICES AND THE DATABASES

· Amazon DynamoDB

· Amazon RDS Database

· tools and libraries DynamoDB local

AN INTRODUCTION TO IBM Cloud

· IBM Cloud technologies

· Management Console

· Security measures

· Cloud interaction through the SDK and IDE tools

· IBM Watson Studio

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

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

Mobile +94 0716092918

AWS Summit 2018 Singapore.


The AWS Summit brings together the cloud computing community to connect, collaborate and learn about AWS. In this action-packed, one-day event, you can choose from 35 breakout sessions covering a broad range of topics and technical depth. Attend introductory sessions on new and existing AWS services or participate in sessions that go deep into architecture and code. All sessions will be delivered by subject matter experts from AWS, Partners or expert customers who can share their real-world experiences and lessons learned.

Agenda

https://aws.amazon.com/summits/singapore/agenda/

 

Featured Keynote Speakers

Location

Singapore Expo Hall 1 & 2

1 Expo Dr, Singapore 486150

Amazon Web Service training course Sri Lanka.


aws

Developing on AWS helps developers understand how to use the AWS SDK to develop secure and scalable cloud applications. The course provides in-depth knowledge about how to interact with AWS using code and covers key concepts, best practices, and troubleshooting tips.

 

Course Objectives

Set up the AWS SDK and developer credentials for Java, C#/.Net

Use the AWS SDK to interact with AWS services and develop solutions.

Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores.

Use Web Identity Framework and Amazon Cognito for user authentication.

Use Amazon Mobile development SDK for Android and IOS

Deploy AWS applications

 

Course Outline

1: AN INTRODUCTION TO AMAZON WEB SERVICES
A background of AWS and its needs
The AWS Management Console
AWS security measures
AWS interaction through the SDK and IDE tools

2: WORKING WITH AWS STORAGE SERVICES
AWS storage options
Working with Amazon EBS
Working with AWS
AWS Glacier

3: COMPUTING AND NETWORKING SERVICES
Amazon Elastic Compute Cloud
Best practices
Tools
Computing and networking tools and libraries

4: MANAGED SERVICES AND THE DATABASES
Amazon DynamoDB
Amazon RDS
Database tools and libraries
DynamoDB local

5: DEPLOYMENT AND MANAGEMENT
AWS CloudFormation
Alarms with Amazon CloudWatch
Identity and Access Management
Application deployment using AWS Elastic Beanstalk

6: WORKING WITH THE AWS SIMPLE NOTIFICATION SERVICE – SNS
Identifying Amazon SNS
The service models of Amazon SNS
Accessing SNS using the Management Console
The sample code and libraries of SNS

7: BUILDING AN APPLICATION USING AWS
An overview of an application
Tool selection
Creating an application

 

By-
Uditha Bandara is specializes in Cloud Development 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, Sri Lanka and India. He has published several books,articles, tutorials, and game demos on his Blog – https://uditha.wordpress.com

· Contact    +94 071-6092918

· udithamail@yahoo.com

· udithait@gmail.com