Designing And Implementing A Data Science Solution On Azure in Montreal

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Microsoft Azure Certification

DP-100 Azure Data Scientist Associate Certification

Montreal

Learn the key principles of designing a robust data ingestion strategy.
Become familiar with designing effective data ingestion solutions for ML.
Understand the importance of data ingestion for model performance.

Dates & Prices Dates & Prices

Course information

Designing and Implementing a Data Science Solution on Azure DP-100 Course Outline

Module 1: Design a Data Ingestion Strategy for Machine Learning Projects

Introduction
Identify Your Data Source and Format
Choose How to Serve Data to Machine Learning Workflows
Design a Data Ingestion Solution
Exercise: Design a Data Ingestion Strategy

Module 2: Design a Machine Learning Model Training Solution

Introduction
Identify Machine Learning Tasks
Choose a Service to Train a Machine Learning Model
Decide Between Compute Options
Exercise: Design a Model Training Strategy

Module 3: Design a Model Deployment Solution

Introduction
Understand How Model Will Be Consumed
Decide on Real-Time or Batch Deployment
Exercise - Design a Deployment Solution

Module 4: Azure Machine Learning Workspace Resources and Assets

Introduction
Video - Explore the Azure Machine Learning Workspace
Create an Azure Machine Learning Workspace
Identify Azure Machine Learning Resources
Identify Azure Machine Learning Assets
Train Models in the Workspace
Exercise - Explore the Workspace

Module 5: Developer Tools for Workspace Interaction

Introduction
Studio
Python SDK
CLI
Exercise-Explore the Developer Tools

Module 6: Make Data Available in Azure Machine Learning

Introduction
Video - Make Data Available in Azure Machine Learning
Understand URIs
Create a Datastore
Create a Data Asset
Exercise - Make Data Available in Azure Machine Learning

Module 7: Work with Compute Targets in Azure Machine Learning

Introduction
Choose the Appropriate Compute Target
Create and Use a Compute Instance
Create and Use a Compute Cluster
Exercise - Work with Compute Resources

Module 8: Work with Environments in Azure Machine Learning

Introduction
Understand Environments
Use Curated Environments
Create and Use Custom Environments
Exercise - Work with Environments

Module 9: Classification Model with Automated Machine Learning

Introduction
Video - Find the Best Classification Model with Automated Machine Learning
Preprocess Data and Configure Featurisation
Run an Automated Machine Learning Experiment
Evaluate and Compare Models
Exercise - Find the Best Classification Model with Automated Machine Learning

Module 10: Track Model Training in Jupyter Notebooks with MLflow

Introduction
Configure MLflow For Model Tracking in Notebooks
Train and Track Models in Notebooks
Exercise - Track Model Training

Module 11: Run Training Script as a Command Job in Azure Machine Learning

Introduction
Video - Run a Training Script as a Command Job in Azure Machine Learning
Convert a Notebook to a Script
Run a Script as a Command Job
Use Parameters in a Command Job
Exercise - Run a Training Script as a Command Job

Module 12: Track Model Training with MLflow in Jobs

Introduction
Video - Track Model Training with MLFlow in Jobs
Track Metrics with MLflow
View Metrics and Evaluate Models
Exercise - Use MLflow to Track Training Jobs

Module 13: Run Pipelines in Azure Machine Learning

Introduction
Video - Run Pipelines in Azure Machine Learning
Create Components
Create a Pipeline
Run a Pipeline Job
Exercise - Run a Pipeline Job

Module 14: Perform Hyperparameter Tuning with Azure Machine Learning

Introduction
Define a Search Space
Configure a Sampling Method
Configure Early Termination
Use a Sweep Job for Hyperparameter Tuning
Exercise - Run a Sweep Job

Module 15: Deploy a Model to a Managed Online Endpoint

Introduction
Managed Online Endpoints
Deploy the MLflow Model to a Managed Online Endpoint
Deploy a Model to a Managed Online Endpoint
Test Managed Online Endpoints
Exercise - Deploy an MLflow Model to an Online Endpoint

Module 16: Deploy a Model to a Batch Endpoint

Introduction
Video - Deploy a Model to a Batch Endpoint
Understand and Create Batch Endpoints
Deploy Your MLflow Model to a Batch Endpoint
Deploy a Custom Model to a Batch Endpoint
Invoke and Troubleshoot Batch Endpoints
Exercise - Deploy an MLflow Model to a Batch Endpoint

Who should attend this Designing and Implementing a Data Science Solution on Azure DP-100 Course?

This Designing and Implementing a Data Science Solution on Azure (DP-100) Course is designed to introduce professionals to Azure's Data Science and Machine Learning solutions. This Microsoft Azure Certification can be beneficial to a wide range of professionals, including:

Data Scientists
Azure Data Engineers
Data Analysts
AI Engineers
Cloud Solution Architects
Machine Learning Developers
Big Data Engineers
Research Scientists

Prerequisites of the Designing and Implementing a Data Science Solution on Azure DP-100 Course

For attending this Designing and Implementing a Data Science Solution on Azure DP-100 Course, the required prerequisites are proficiency in one of the programming languages like Python, R, or SQL and a basic knowledge about Machine Learning and Azure Machine Learning.

Designing and Implementing a Data Science Solution on Azure DP-100 Course Overview

This Designing and Implementing a Data Science Solution on Azure DP-100 Course plays a vital role in transforming raw data into actionable insights, making it more relevant than ever. As organisations harness the power of data to drive decision-making, this Microsoft Azure Certification provides essential knowledge for professionals looking to navigate the dynamic landscape of data science on Microsoft Azure.

Proficiency in Data Science on Microsoft Azure is crucial for professionals in various domains, including Data Analysts, Data Engineers, Machine Learning Engineers, and aspiring Data Scientists. This knowledge empowers them to harness the extensive capabilities of Microsoft Azure, allowing them to make informed decisions, build innovative solutions, and stay competitive in the evolving digital world.

In this 4-day Designing and Implementing a Data Science Solution on Azure DP-100 Training Course, delegates will learn essential skills and knowledge to design and implement data science solutions on Azure. They will gain expertise in data ingestion strategies, model training, model deployment, workspace resources, developer tools environments, and various aspects of Machine Learning and data pipelines. The Knowledge Academy’s highly skilled and professional trainers, with 9+ years of experience teaching Microsoft Courses, will conduct this training.

Course Objectives

To understand the principles of designing Data Science solutions on Azure
To gain proficiency in data ingestion, model training, and model deployment
To learn to utilise Azure Machine Learning workspace resources and tools
To acquire skills to work with compute targets and create data pipelines
To master the art of performing model evaluation and deployment
To develop expertise in tracking and managing models using MLflow

After completing this course, delegates become proficient in designing and implementing data science solutions on Microsoft Azure. They will be armed with comprehensive knowledge and practical skills. Graduates are prepared to tackle real-world data challenges. They can confidently apply their expertise in various domains, enabling businesses to harness the full potential of their data.

What’s included in this Designing and Implementing a Data Science Solution on Azure DP-100 Course?

World-Class Training Sessions from Experienced Instructors
Designing and Implementing a Data Science Solution on Azure DP-100 Certificate
Digital Delegate Pack

Why choose us

Our Montreal venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Montreal is the largest city in the province of Quebec and is the 9^th largest city in the whole of the continent of North America. The city is named after the hill in the heart on the city called Mount Royal. It has and estimated population of roughly 1.65 million people. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Parents can choose between sending their children to one of the public schools or they can sent them to a fee paying private school. Those who live in Montreal and find that picking a secondary school is a fraught decision involving school zones and ratings. Royal West Academy is one of the most prestigious schools in Montreal. It is a public Anglophone secondary school that performs excellently academically. Royal West Academy is part of the English Montreal School Board. The schools mission is to provide a structured environment for those who are committed to academic study. They offer top computer training courses and have an appreciation for the arts, social issues and community responsibilities. To enter this school students must pass an entrance exam due to the limit places that are available. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Montreal has the highest concentration of post-secondary students of all major cities in North America. There are 4 universities, seven degree awarding institutions and 12 CEGEPS (publicly funded pre‑university college in the province of Quebec) in a 5 mile radius. The University of Montreal is the second largest research university in the country. It is ranked 115^th in the world and is the 5^th highest ranked Canadian university in the world rankings. The university is affiliated with two other higher education institutions in the area; the École Polytechnique de Montréal (School of Engineering) and HEC Montréal (School of Business). The school of business is widely regarded as being one of the best business schools in Canada. The University of Montreal is a Francophone institute which means the lessons are taught predominantly in French.

Address

Regus,
2001 University Street, Suite 1700
Montreal
Quebec
H3A 2A6

T: +1 6474932992

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Designing And Implementing A Data Science Solution On Azure in Montreal. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

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Unlock your potential with The Knowledge Academy's Designing And Implementing A Data Science Solution On Azure in Montreal, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

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Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

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What our customers are saying

Instructor Overview Lokesh Shukla effectively delivered the "Designing and Implementing a Data Science Solution on Azure DP100" course, showcasing deep knowledge of Azure Machine Learning. Syllabus Coverage and Instructional Quality Lokesh adeptly covered essential topics, from data ingestion to model deployment. His clear explanations and practical examples helped demystify complex concepts, making them accessible to all attendees. Engagement and Interaction He encouraged active participation, fostering a collaborative learning environment. This approach enhanced the practical understanding of the course material. Practical Application and Support Lokesh linked theoretical content with real-world applications, guiding me through Azure’s tools and demonstrating their use in business contexts. Conclusion Lokesh Shukla’s expertise made the course both informative and applicable, providing participants with valuable skills in Azure Machine Learning. His teaching is highly recommended for those interested in advancing their knowledge in data science solutions on Azure.

Babak Fakhim

Thank you.

Tahmid Bari

Calm and patient

Venkat Dinesh

Designing And Implementing A Data Science Solution On Azure in Montreal FAQs

What time shall I arrive at the venue?

Please arrive at the venue at 8:45am.

What is Azure Machine Learning?

Azure Machine Learning is a cloud-based service that accelerates and manages the lifecycle of machine learning projects as well as deploys models and manages MLOps.

What is the use of Azure Machine Learning model?

Azure Machine Learning models are developed and used to retrain, monitor, and deploy models with the help of open-source platforms, including TensorFlow, Pytorch, and Scikit-learn.

What is the importance of model deployment and consumption?

Understanding how models will be consumed, whether in real-time or batch deployment scenarios, is crucial for organisations to make their models accessible and valuable for decision-making processes.

How does this training benefit delegates?

Delegates can enhance their data science skills, expand career prospects, and stay at the forefront of the field by mastering the design and implementation of data science solutions on Azure. It provides hands-on experience with cutting-edge tools and technologies.

What will I learn in this Designing and Implementing a Data Science Solution on Azure DP100 course?

In this Designing and Implementing a Data Science Solution on Azure DP100 course, you will learn essential skills to design and implement end-to-end data science solutions on Azure. Topics covered include data ingestion strategies, model training, deployment, workspace resources, developer tools, compute targets, environments, and more.

What is the cost/training fees for DP-100 Azure Data Scientist Associate Certification in Montreal?

The training fees for DP-100 Azure Data Scientist Associate Certificationin Montreal starts from CAD4995

Which is the best training institute/provider of DP-100 Azure Data Scientist Associate Certification in Montreal?

The Knowledge Academy is the Leading global training provider for DP-100 Azure Data Scientist Associate Certification.

What are the best Microsoft Azure Certification courses in Montreal?

Please see our Microsoft Azure Certification courses available in Montreal

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Best price in the industry

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Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water