Data Science Academy Sri Lanka

Global AI Night , Colombo – Sri Lanka 2019 – Event Update.

Global AI Night , Colombo

Global AI Night,Colombo successfully concluded on 2nd of April at Microsoft Sri Lanka.

Global AI Night , Colombo

Event Details-

https://uditha.wordpress.com/2019/03/19/global-ai-night-colombo-sri-lanka-2019/

Global AI Night , Colombo

Official Announcement Video

Global AI Night , Colombo

First session by Mr.Indika Dalugama

(Solution Architect Data & AI)

Microsoft AI Roadmap

Global AI Night , Colombo

Second Session by Uditha Bandara

Microsoft MVP, Founder Blue Chip Training

http://bluechiptraining.biz

Microsoft AI Technology platform with hands on Labs

Global AI Night , Colombo

Third Session by Mr. Calvin Hindle

Business Consultant (Cognitive & Machine Learning)

Millennium IT

AI Driven Customer Experience

Around 60 participant attended Global AI Night , Colombo. Including university students and industry professionals.

Global AI Night , Colombo

Colombo AI Technology Meetup – 500+ members and growing.

Global AI Night , Colombo

https://www.meetup.com/Colombo-AI-Technology-Meetup/

AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka.

AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka.

Recently I did 2 Days AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka for Microsoft partners.

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

Building Product Recommender system

Microsoft BOT framework

Data Science Frameworks

Deep Learning Frameworks

AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka.

AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka.1

AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka.2

AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka.3

15 Software developers and BI professionals from following companies attended 2 days of training.

AI , Data Science and Machine Learning Workshop at Microsoft 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

Knowledge Sharing Session at New Horizons Bangladesh.

AI , Data Science and Machine Learning training bangladesh 4

Recently I did technology Knowledge Sharing at New Horizons Bangladesh.

I covered following topics at the session.

Apple IOS Mobile App development

Android Mobile App development

Microsoft Xamarin Cross Platform Mobile App development 

React Native Cross Platform Mobile App development

Data Science Boot-camp

Deep Learning Boot-camp

Azure Machine Learning

Blockchain Application Development

AI , Data Science and Machine Learning training bangladesh 6

AI , Data Science and Machine Learning Workshop at Dhaka , Bangladesh.

AI , Data Science and Machine Learning training bangladesh 2

AI , Data Science and Machine Learning training bangladesh 1

Recently I did 2 Days AI , Data Science and Machine Learning Workshop at Dhaka,Bangladesh for Microsoft partners.

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

Building Product Recommender system

Microsoft BOT framework

Data Science Frameworks

Deep Learning Frameworks

AI , Data Science and Machine Learning training bangladesh 7

AI , Data Science and Machine Learning training bangladesh 5

AI , Data Science and Machine Learning training bangladesh 3

15 Software developers from Dhaka attended 2 days of training.

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

Global AI Night , Colombo – Sri Lanka 2019.

Global AI Night , Sri Lanka 2019.

The Global AI Night is a free evening event organized by local communities all over the world that are passionate about Artificial Intelligence on the Microsoft Azure.

The event takes place on the Tuesday 2nd of April on venues all over the world centrally organized by our HQ in the Netherlands, supported by Microsoft. The event is the perfect balance between quality content, awesome lectures, getting your hands dirty and learn & share with other community members.


Dive in and learn how to implement intelligence into your solutions with the Microsoft AI platform, including pre-trained AI services like Cognitive Services and Bot Framework, as well as deep learning tools like Azure Machine Learning, Visual Studio Code Tools for AI, and Cognitive Toolkit.


During this AI Night you will get inspired through sessions and get your hands dirty during the workshops. By the end of the night you will be able to infuse AI into your applications.

v

Global AI Night , Sri Lanka 2019.

Event Contact-

udithait@gmail.com

training@bluechiptraining.biz


http://datasciencesrilanka.education

+94716092918

Meetup Page- https://www.meetup.com/Colombo-AI-Technology-Meetup/events/258786956/


Registration URL – https://bit.ly/2Tcb10I

Data Science and Machine Learning February 2019 Workshop Sri Lanka.

Data Science course Sri lanka

Few days ago I had conducted the workshop on Data Science and Machine Learning. Around 10 attended the workshop.

Employees from Dialog, GRI Tires, Seylan Bank, Interblocks, Noritake, BCAS Campus and D-Tech IT Solutions came to the event.

Data Science course Sri lanka

Topic covered at the workshop-

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

https://uditha.wordpress.com/2019/01/16/data-science-and-machine-learning-workshop-sri-lanka-2/

Data Science course Sri lanka

Data Science course Sri lanka

Data Science course Sri lanka

For Training Requirement Contact-


training@bluechiptraining.biz

Colombo AI Technology Meetup.

Colombo AI Technology Meetup

We had recently started Colombo AI Technology Meetup group.

This Meetup group we are planning to Promote Data Science ,

AI, Machine Learning and Deep Learning technologies in Sri Lanka.

Right now we have close to 200 members in this groups.

https://www.meetup.com/Colombo-AI-Technology-Meetup/

First major event we planning is Global AI Night – Colombo

Colombo AI Technology Meetup


https://www.meetup.com/Colombo-AI-Technology-Meetup/events/258786956/

Machine Learning and AI Workshop at NetAssist International

Machine Learning and AI training sri lanka

Recently I had conducted  Machine Learning and AI workshop at NetAssist Colombo.  Around 40 attended the workshop. Employees from various IT companies and organizations attended the event.

Machine Learning and AI training sri lanka

Machine Learning and AI training sri lanka

Topics covered at the workshop-

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

Machine Learning and AI training sri lanka

Data Science and Machine Learning Workshop Sri Lanka.

Data Science and Machine Learning Workshop Sri Lanka

Register Now –

https://goo.gl/Y5VkU2

Event Page-

https://www.facebook.com/events/407562449787674/

Data Science and Machine Learning Workshop at Microsoft Sri Lanka.

Data Science and Machine Learning course

Register Now –

https://goo.gl/rJWCrp

Event Page-

https://www.facebook.com/events/281797495839662/

MCSA: Machine Learning Certifications Sri Lanka.

machine-learning-exam_thumb

Earning an MCSA: Machine Learning demonstrates knowledge relevant to Machine Learning, Data Scientists and Data Analysts positions, particularly those who process and analyze large data sets using R and use Azure cloud services to build and deploy intelligent solutions. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).

Course 20774A:
Perform Cloud Data Science with Azure Machine Learning

Course Outline

Module 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

Lab : Introduction to machine Learning

  • Sign up for Azure machine learning studio account
  • View a simple experiment from gallery
  • Evaluate an experiment

After completing this module, students will be able to:

  • Describe machine learning

  • Describe machine learning algorithms

  • Describe machine learning languages

Module 2: 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

Lab : Introduction to Azure machine learning

  • Explore the Azure machine learning studio workspace
  • Clone and run a simple experiment
  • Clone an experiment, make some simple changes, and run the experiment

After completing this module, students will be able to:

  • Describe Azure machine learning.

  • Use the Azure machine learning studio.

  • Describe the Azure machine learning platforms and environments.

Module 3: Managing Datasets

At the end of this module the student will be able to upload and 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

Lab : Managing Datasets

  • Prepare Azure SQL database
  • Import data
  • Visualize data
  • Summarize data

After completing this module, students will be able to:

  • Understand the types of data they have.

  • Upload data from a number of different sources.

  • Explore the data that has been uploaded.

Module 4: Preparing Data for use with Azure Machine Learning

This module provides techniques to prepare datasets for use with Azure machine learning.Lessons

  • Data pre-processing
  • Handling incomplete datasets

Lab : Preparing data for use with Azure machine learning

  • Explore some data using Power BI
  • Clean the data

After completing this module, students will be able to:

  • Pre-process data to clean and normalize it.

  • Handle incomplete datasets.

Module 5: Using Feature Engineering and Selection

This module describes how to explore and use feature engineering and selection techniques on datasets that are to be used with Azure machine learning.Lessons

  • Using feature engineering
  • Using feature selection

Lab : Using feature engineering and selection

  • Prepare datasets
  • Use Join to Merge data

After completing this module, students will be able to:

  • Use feature engineering to manipulate data.

  • Use feature selection.

Module 6: 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
  • Scoring and evaluating models
  • Using regression algorithms
  • Using neural networks

Lab : Building Azure machine learning models

  • Using Azure machine learning studio modules for regression
  • Create and run a neural-network based application

After completing this module, students will be able to:

  • Describe machine learning workflows.

  • Explain scoring and evaluating models.

  • Describe regression algorithms.

  • Use a neural-network.

Module 7: Using Classification and Clustering with Azure machine learning models

This module describes how to use classification and clustering algorithms with Azure machine learning.Lessons

  • Using classification algorithms
  • Clustering techniques
  • Selecting algorithms

Lab : Using classification and clustering with Azure machine learning models

  • Using Azure machine learning studio modules for classification.
  • Add k-means section to an experiment
  • Add PCA for anomaly detection.
  • Evaluate the models

After completing this module, students will be able to:

  • Use classification algorithms.

  • Describe clustering techniques.

  • Select appropriate algorithms.

Module 8: Using R and Python with Azure Machine Learning

This module describes how to use R and Python with azure machine learning and choose when to use a particular language.Lessons

  • Using R
  • Using Python
  • Incorporating R and Python into Machine Learning experiments

Lab : Using R and Python with Azure machine learning

  • Exploring data using R
  • Analyzing data using Python

After completing this module, students will be able to:

  • Explain the key features and benefits of R.

  • Explain the key features and benefits of Python.

  • Use Jupyter notebooks.

  • Support R and Python.

Module 9: Initializing and Optimizing Machine Learning Models

This module describes how to use hyper-parameters and multiple algorithms and models, and be able to score and evaluate models.Lessons

  • Using hyper-parameters
  • Using multiple algorithms and models
  • Scoring and evaluating Models

Lab : Initializing and optimizing machine learning models

  • Using hyper-parameters

After completing this module, students will be able to:

  • Use hyper-parameters.

  • Use multiple algorithms and models to create ensembles.

  • Score and evaluate ensembles.

Module 10: 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

Lab : Using Azure machine learning models

  • Deploy machine learning models
  • Consume a published model

After completing this module, students will be able to:

  • Deploy and publish models.

  • Export data to a variety of targets.

Module 11: Using Cognitive Services

This module introduces the cognitive services APIs for text and image processing to create a recommendation application, and describes the use of neural networks with Azure machine learning.Lessons

  • Cognitive services overview
  • Processing language
  • Processing images and video
  • Recommending products

Lab : Using Cognitive Services

  • Build a language application
  • Build a face detection application
  • Build a recommendation application

After completing this module, students will be able to:

  • Describe cognitive services.

  • Process text through an application.

  • Process images through an application.

  • Create a recommendation application.

Module 12: Using Machine Learning with HDInsight

This module describes how use HDInsight with Azure machine learning.Lessons

  • Introduction to HDInsight
  • HDInsight cluster types
  • HDInsight and machine learning models

Lab : Machine Learning with HDInsight

  • Provision an HDInsight cluster
  • Use the HDInsight cluster with MapReduce and Spark

After completing this module, students will be able to:

  • Describe the features and benefits of HDInsight.

  • Describe the different HDInsight cluster types.

  • Use HDInsight with machine learning models.

Module 13: Using R Services with Machine Learning

This module describes how to use R and R server with Azure machine learning, and explain how to deploy and configure SQL Server and support R services.Lessons

  • R and R server overview
  • Using R server with machine learning
  • Using R with SQL Server

Lab : Using R services with machine learning

  • Deploy DSVM
  • Prepare a sample SQL Server database and configure SQL Server and R
  • Use a remote R session
  • Execute R scripts inside T-SQL statements

Microsoft EXAM – 70-774

Perform Cloud Data Science with Azure Machine Learning

https://www.microsoft.com/en-us/learning/exam-70-774.aspx

Second Course 20773A:
Analyzing Big Data with Microsoft R

https://www.microsoft.com/en-us/learning/course.aspx?cid=20773

Microsoft EXAM – 70-773

Analyzing Big Data with Microsoft R

https://www.microsoft.com/en-us/learning/exam-70-773.aspx