Data Science Academy

IBM AI Enterprise Workflow Data Science Specialist Training

2

In this program, we decided to take a different approach than traditional product certifications, and instead of building a product-centric certification,

we decided to build a process-centric certification with specific guiding principles:

1.    Using a single use case/real world scenario as the foundation to work through what it takes to build an end to end AI solution

2.    Leveraging Design thinking as a framework to work through the translation of business goals into AI technical implementations

3.    Bringing together different capabilities such as Machine Learning, Optimization, and specific narrow-AI functionality

4.    Leveraging python as the tool of choice for building AI models, and bringing in Watson Studio where it adds value on top of Python and other open source tools

Section 1: Scientific, Mathematical, and technical essentials for Data Science and AI

· Explain the difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics

· Describe and explain the key terms in the field of artificial intelligence (Analytics, Data Science, Machine Learning, Deep Learning, Artificial Intelligence etc.)

· Distinguish different streams of work within Data Science and AI (Data Engineering, Data Science, Data Stewardship, Data Visualization etc.)

· Describe the key stages of a machine learning pipeline.

· Explain the fundamental terms and concepts of design thinking

· Explain the different types of fundamental Data Science

· Distinguish and leverage key Open Source and IBM tools and technologies that can be used by a Data Scientist to implement AI solutions

Section 2: Applications of Data Science and AI in Business

· Identify use cases where artificial intelligence solutions can address business opportunities

· Translate business opportunities into a machine learning scenario

· Differentiate the categories of machine learning algorithms and the scenarios where they can be used

· Show knowledge of how to communicate technical results to business stakeholders

· Demonstrate knowledge of scenarios for application of machine learning

Section 3: Data understanding techniques in Data Science and AI

· Demonstrate knowledge of data collection practices

· Explain characteristics of different data types

· Show knowledge of data exploration techniques and data anomaly detection

· Use data summarization and visualization techniques to find relevant insight

Section 4: Data preparation techniques in Data Science and AI

· Demonstrate expertise cleaning data and addressing data anomalies

· Show knowledge of feature engineering and dimensionality reduction techniques

· Demonstrate mastery preparing and cleaning unstructured text data

Section 5: Application of Data Science and AI techniques and models

· Explain machine learning algorithms and the theoretical basis behind them

· Demonstrate practical experience building machine learning models and using different machine learning algorithms

Section 6: Evaluation of AI models

· Identify different evaluation metrics for machine learning algorithms and how to use them in the evaluation of model performance

· Demonstrate successful application of model validation and selection methods

· Show mastery of model results interpretation

· Apply techniques for fine tuning and parameter optimization

Section 7: Deployment of AI models

· Describe the key considerations when selecting a platform for AI model deployment

· Demonstrate knowledge of requirements for model monitoring, management and maintenance

· Identify IBM technology capabilities for building, deploying, and managing AI models

Section 8: Technology Stack for Data Science and AI

· Describe the differences between traditional programming and machine learning

· Demonstrate foundational knowledge of using python as a tool for building AI solutions

· Show knowledge of the benefits of cloud computing for building and deploying AI models

· Show knowledge of data storage alternatives

· Demonstrate knowledge on open source technologies for deployment of AI solutions

· Demonstrate basic understanding of natural language processing

· Demonstrate basic understanding of computer vision

· Demonstrate basic understanding of IBM Watson AI services

For Training Requirement Contact-

udithait@gmail.com

training@bluechiptraining.biz


Sri Lanka

+94 0716092918

Singapore-
+65 86738158

AI for Business Leaders Workshop Sri Lanka.

AI for Business Leaders Workshop Sri Lanka.

Recently I did AI for Business Leaders Workshop at Orel IT. I covered following topics during the workshop.

AI based business opportunities

AI development life cycle

Cloud based AI technologies

AI Use Cases

AI for Business Leaders Workshop Sri Lanka.

AI for Business Leaders Workshop Sri Lanka.

AI for Business Leaders Workshop Sri Lanka.

For Training Requirement Contact-

udithait@gmail.com

training@bluechiptraining.biz


Sri Lanka

+94 0716092918

Singapore-

+65 86738158

Online Healthcare Machine Learning workshop at Melbourne.

Online Healthcare Machine Learning workshop at Melbourne.

Recently we had conducted online Machine Learning workshop for St John of God Health Care Doctors at Melbourne.

Following topics covered at the training.

Introduction to Data Science

Introduction to Machine Learning

Machine Learning in Healthcare

Healthcare research in Machine Learning.

Online Healthcare Machine Learning workshop at Melbourne.

Online Healthcare Machine Learning workshop at Melbourne.

Sri Lanka DevOps Community Online Meetup.

Sri Lanka DevOps Community Online Meetup

Machine Learning Operations (MLOps) is based on DevOps principles and practices that increase the efficiency of workflows. For example, continuous integration, delivery, and deployment.

MLOps applies these principles to the machine learning process, with the goal of:

• Faster experimentation and development of models
• Faster deployment of models into production
• Quality assurance

Agenda –
• Azure Machine Learning
• ML Pipeline
• Azure DevOps Integration

Introduction to Machine Learning Workshop .

cloud-machine-learning-workshop-sri-lanka_thumb

https://www.meetup.com/Colombo-AI-Technology-Meetup/events/271734830/

Register URL – https://bit.ly/3fdAK56

Contact us at +94 (071) 6092918

udithait@gmail.com
training@bluechiptraining.biz

Conducted By-

Uditha Bandara (MVP) is specializes in Data Science, Mobile App and Blockchain 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

http://datasciencesrilanka.education

Cloud Machine Learning Workshop Sri Lanka.

Cloud Machine Learning Workshop sri lanka2

Cloud Machine Learning Workshop sri lanka

https://www.meetup.com/Colombo-AI-Technology-Meetup/events/270402228/

Register URL – https://bit.ly/3fdAK56

Contact us at +94 (071) 6092918

Feel free to contact us for any inquiries

Uditha Bandara (MVP) is specializes in Data Science, Mobile App and Blockchain 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

Bot Application Development.

Bot Application Development

Data Science and Machine Learning March 2020 Workshop Sri Lanka.

Data Science and Machine Learning Workshop

Few weeks ago I had conducted the workshop on Data Science and Machine Learning.

Around 12 attended the workshop.Employees from Stretch line,Enso,Sri Lanka Insurance (SLIC),Sri Lanka Tourism Development Authority

and Attune came to the event.

Data Science and Machine Learning Workshop

Data Science and Machine Learning Workshop

Data Science and Machine Learning Workshop

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

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

Machine Learning for beginners: Azure AI book.

Azure AI bookAzure AI book

Azure AI bookAzure AI book

https://www.amazon.com/Machine-Learning-beginners-Azure-AI/dp/1686820356/

AI and Machine Learning Webinar. (Sinhala and English)

AI and Machine Learning Webinar. (Sinhala and English)

AI හා Machine Learning අන්තර්ජාල වැඩමුළුව හැදින්වීම

මෙම වැඩමුළුව තුලින් ප්‍රයෝගිකව මයික්‍රොසොෆ්ට් machine learning හරහා දත්ත විශ්ලේෂණය හා ඉදිරිපත් කිරීම සවිස්තරාත්මකව ඔබට ගෙනහැර දැක්වීමට බලාපොරොත්තු වෙමු.

ඔබ කෘතීම බුද්ධිය හා බැදුණු තාක්ෂණික කරනා පිලිබඳ උනන්දුවක් දක්වන්නේ නම් හා මේ ක්ෂේස්ත්‍රයට පිවිසීමට කැමති නම් මේ වෙබ් සම්මන්ත්‍රණය ඔබව නිසි මගට යොමු කරනු ඇත.

This hands-on workshop aims to enable participants with the knowledge to analyze and present data by using Microsoft Machine Learning, and to provide an introduction to the use of machine learning and Cognitive Services.


Workshop Outline

වැඩමුළුවේ සැකැස්ම


Introduction to Microsoft AI

කෘතීම බුද්ධිය හැදින්වීම (මයික්‍රොසොෆ්ට් platform)


Introduction to Azure Machine Learning

Azure භාවිතයෙන් Machine Learning


Predicting Employee Churn using AML

AML භාවිතයෙන් සේවක පිරිවැටුම පුරෝකථනය කිරීම


ඔබ, මෘදුකාංග ඉංජිනේරුවෙකු, දත්ත සමුදාය කළමණාකරුවෙකු, ව්‍යාපාර බුද්ධි විශ්ලේෂකයෙකු හෝ කෘතීම බුද්ධිය ගැන උනන්දුවක් දක්වන්නේ නම් මේ වෙබ් සම්මන්ත්‍රණය ඔබටයි.

කේතනය පිලිබඳ හැකියාව අත්‍යවශ්‍ය නොවේ.


This workshop is suitable for software developers, database developers, business intelligence analysts and IT professionals.

දේශකයා


උදිත බණ්ඩාර

දකුණු හා නැගෙනහිර ආසියාවේ පළමු XNA හා Direct X හොඳම වෘත්තිකයා ලෙස සම්මානයට පාත්‍ර වී ඇත.

ශ්‍රී ලංකාවේ ප්‍රධානපෙලේ ආයතන ගණනාවකටම තම දැනුමින් උපදේශනය සපයා ඇති ඔහු හොං කොං, මැලේසියාව, සිංගප්පූරුව, කාම්බෝජය,

ඉන්දුනීසියාව, මියන්මාරය, බංගලාදේශය හා ඉන්දියාවේ වැඩමුළු හා සම්මන්ත්‍රණ රාශියක් පවත්වා ඇත. ඔහුගේ මුලික විෂයන් වන්නේ කෘතීම බුද්ධිය,

ජංගම දුරකථන යෙදුම් හා ජාලගත තාක්ෂනයන්ය.


Uditha Bandara (MVP) specializes in Microsoft development, AI, Mobile App and Cloud 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, Cambodia, Indonesia, Myanmar, Bangladesh, Sri Lanka and India.

Microsoft AI

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/

Data Science and Machine learning Bootcamp training at Singapore.

Data Science and Machine learning Bootcamp training at Singapore.

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

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.

Data Science and Machine learning Bootcamp training at Singapore.4

Data Science and Machine learning Bootcamp training at Singapore7.

Data Science and Machine learning Bootcamp training at Singapore.2

Course Outline –

https://uditha.wordpress.com/2018/04/25/data-science-bootcamp-training-sri-lanka-singapore/

13  developers from following companies attended 3 Days of training.

Data Science and Machine learning Bootcamp training at Singapore.8

DBS Bank , Singapore
https://www.dbs.com.sg/

Institute of Technical Education , Singapore
https://www.ite.edu.sg/

Mapletree Investments , Singapore
https://www.mapletree.com.sg/

Singapore Food Agency
https://www.sfa.gov.sg/

Data Science and Machine learning Bootcamp training at Singapore.5

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz