Machine Learning and AI Workshop at Singapore.


Machine Learning and AI Workshop at Singapore.

Recently I had conducted Machine Learning and AI workshop at New Horizons Singapore. Around 20 attended the workshop. Employees from various IT companies and organizations attended the event.

Machine Learning and AI Workshop at Singapore.

Machine Learning and AI Workshop at Singapore.

Topics covered at the workshop-

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

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


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

Recently I did 3 Days AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka for Microsoft partners.

I covered following topics at the training.

Day 1
Introduction to Data Science and Machine Learning
Introduction to Azure Machine Learning and Managing Datasets
Azure Data Services
Using Cognitive Services and Microsoft BOT framework

Day 2
Python Data Science tools for Machine Learning
E-commerce and Product Recommendation ML System
Mobile Churn solution for Telecom
Building Face recognition solution

Day 3

Building language translator solution
Healthcare prediction System
HR Clustering for organizations
Building hotel reservation Chabot

AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka.7

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

AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka.45

35 Software developers and BI professionals from following companies attended 3 days of training.

Data Science and Machine Learning Workshop at Microsoft

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

hello@bluechiptech.asia

Data Science Lecturing at Sri Lanka Institute of Information Technology (SLIIT).


Data Science Lecturing

Data Science Lecturing

Recently I had conducted Data Science Lecturing at Sri Lanka Institute of Information Technology for Data Science batch.  Lecturing was span across six week for 40 students covering following topics –

  • Introduction to Spyder IDE, Jupiter Notebook with Python basics
  • Azure Machine Learning
  • Python Data science libraries / Pandas /Scikit Learn
  • Introduction to tenser flow basics
  • Basic Neural Networks using tenser flow

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Data Science Lecturing

DevOps Fundamental with Docker and Kubernetes Training.


DevOps Fundamental with Docker and Kubernetes Training

DevOps Fundamental with Docker and Kubernetes TrainingDevOps Fundamental with Docker and Kubernetes Training

This 3 days course provides a basic introduction to the concept of DevOps with Docker and Kubernetes hands on labs. It seeks to give the student a working knowledge of what DevOps is and how it impacts IT in the real world. This course explains the culture of DevOps as well as some of the main practices and tools associated with DevOps. It also introduces the student to the close relationship between DevOps and the cloud.
Upon completion, developers will have a solid understanding of the origin, architecture and building blocks for Docker and Kubernetes, and will be able to begin testing the new cloud native pattern to begin the cloud native journey.

DevOps Concepts and Practices

Build Automation

Continuous Integration

Continuous Delivery and Continuous Deployment

Infrastructure as Code

Configuration Management

Orchestration

Monitoring

Microservices

DevOps and the Cloud

DevOps and Microsoft Azure

Introduction to DevOps Tools

Build Automation and Continuous Integration

Virtualization and Containerization

Tools for Monitoring

Understanding Docker

Virtual Machines vs Docker Containers

Installing Docker

Visualizing Docker’s Architecture

Hello World with Docker

Docker Images and Containers

Docker Compose in the Real World

Adding Docker Compose Support to Web App

Managing Web App with Docker Compose

C# / .NET Starter Project

Deploying and Scaling Docker

Understanding Kubernetes

Kubernetes Architecture

Set up your environment

Virtual machines, containers, and Kubernetes

Set up and deploy your first application

Kubernetes in the Real World

Managing State with Deployments

Services

Scheduling

Helm

Security

Using Kubernetes Features

Pods

Labels

Services

Namespaces

Practical Kubernetes Examples

Hello World

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