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Azure Data Scientist Associate Training

Type

Course

Type

Weekend Classes

Type

-

PROGRAM OVERVIEW

The Azure Data Scientist Associate Training is an intensive program designed to provide participants with the expertise required to harness Azure’s advanced data science tools and services. This comprehensive course covers essential topics such as data analysis, machine learning, and AI model deployment, utilizing platforms like Azure Machine Learning Studio, Data Factory, and Synapse Analytics.

Ideal for data professionals seeking to elevate their careers, the program strikes a perfect balance between theoretical knowledge and practical applications. Through projects, participants will gain hands-on experience, equipping them with the skills needed to tackle real-world challenges in data science and AI.

What You’ll Learn in the Azure Data Scientist Associate Training

The Azure Data Scientist Associate Certification equips you with the skills and knowledge to excel in data science and AI using Microsoft Azure. Here’s what you’ll master during this program: 

1. Azure Data Science Fundamentals

  • Understand Azure’s role in data science and AI.
  • Explore Azure’s ecosystem, tools, and integrated services.

2. Data Science Foundations

  • Learn data preparation techniques, including cleaning, transformation, and feature engineering.
  • Master exploratory data analysis to uncover insights.

3. Machine Learning Basics

  • Understand key machine learning concepts, algorithms, and use cases.
  • Gain familiarity with supervised and unsupervised learning techniques.

4. Azure Machine Learning Studio

  • Navigate Azure Machine Learning Studio for model building and experimentation.
  • Explore its drag-and-drop interface for simplified workflows.

5. Model Training and Evaluation

  • Learn to train models using Azure tools.
  • Evaluate model performance with accuracy, precision, recall, and F1 score metrics.

6. Automated Machine Learning (AutoML)

  • Automate model selection and hyperparameter tuning using Azure AutoML.
  • Understand how AutoML simplifies complex machine learning workflows.

7. Advanced Azure Machine Learning Features

  • Dive into advanced capabilities such as custom pipelines and model interpretability.
  • Leverage Azure’s built-in tools for model optimization and scalability.

8. Azure Databricks for Data Science

  • Utilize Azure Databricks for big data processing and collaborative machine learning.
  • Explore integration with Azure Data Factory and Synapse Analytics.

9. Deep Learning with Azure

  • Learn the fundamentals of deep learning and neural networks.
  • Implement deep learning models with Azure frameworks and tools.

10. Model Deployment and Management

  • Deploy machine learning models to production using Azure Kubernetes Service (AKS).
  • Manage, monitor, and scale deployed models efficiently.

Azure Data Scientist Associate Training Advantage

The Azure Data Scientist Associate Training offers a unique advantage by combining comprehensive theoretical knowledge with hands-on practical experience, empowering learners to tackle real-world data challenges confidently. Participants gain expertise in using industry-leading tools like Azure Machine Learning Studio, Data Factory, and Synapse Analytics, which are essential for modern data science and AI solutions. The program emphasizes practical application through projects, enabling learners to build and deploy machine learning models, implement deep learning frameworks, and process real-time data effectively. Designed for data professionals and enthusiasts, this training provides the skills needed to excel in a rapidly evolving technology landscape, positioning you as a sought-after expert in the field of Azure-based data science.

Job Opportunities After Completing Azure Data Scientist Associate Training in Canada?

Completing the Azure Data Scientist Associate Training opens doors to a variety of high-demand career opportunities in the data science and AI domains. Organizations across industries are seeking professionals proficient in leveraging Azure’s powerful tools and services to derive insights, build predictive models, and implement AI solutions. Here are some of the roles you can pursue:

  • Data Scientist
  • Machine Learning Engineer
  • AI Engineer
  • Data Engineer
  • Cloud Data Scientist
  • Big Data Analyst
  • Azure AI Consultant

Why Choose Toronto Innovation College for Azure Data Scientist Associate Training in Canada?

Choosing Toronto Innovation College (TIC) for your Azure Data Scientist Associate training in Canada offers several distinct advantages: 

1. Expert Instructors TIC provides access to certified professionals with extensive industry experience, ensuring that you receive practical insights and up-to-date knowledge in Azure data science.

2. Hands-On Learning The program emphasizes real-world projects and scenarios, allowing you to apply theoretical concepts and gain practical experience in designing, building, and managing cloud applications.

3. Flexible Learning Options TIC offers both online and in-class training, accommodating various schedules and learning preferences to make education accessible and convenient.

4. Comprehensive Curriculum The training covers essential Azure services, including virtual machines, networking, storage, databases, AI, machine learning, and DevOps, providing a well-rounded education in cloud technology.

5. Career Support Services Benefit from TIC’s robust job placement network and career counseling services, assisting you in transitioning from training to employment in the rapidly growing cloud industry.

By choosing Toronto Innovation College, you’re investing in a quality education that aligns with industry demands, setting you on a path to success in the field of Azure data science.

Pre-Requisites for the Course

  • Basic Knowledge of any Programming language

ADMISSION REQUIREMENTS

  • Possession of an Ontario Secondary School Diploma or its equivalent.
  • Applicants must be 18 years of age or older.
  • Fulfillment of all additional program-specific requirements set by the career college.

FAQs

What is the Azure Data Scientist Associate Training program?

The Azure Data Scientist Associate Training is a 70-hour comprehensive program designed to equip learners with the skills to analyze data, build machine learning models, and deploy AI solutions using Microsoft Azure’s ecosystem. The course covers tools such as Azure Machine Learning Studio, Data Factory, and Synapse Analytics.

Who is this training suitable for?

This training is ideal for data professionals, aspiring data scientists, and IT professionals who want to specialize in Azure-based data science and AI. It is also suitable for beginners with a basic understanding of programming and data analysis.

What are the prerequisites for enrolling in this course?

While there are no strict prerequisites, having a basic understanding of programming (Python or R), statistics, and data analysis is highly beneficial. Familiarity with Azure’s platform can be an added advantage but is not mandatory.

What certifications will I receive upon completing this training?

Upon successful completion, you will be prepared to take the Microsoft Certified: Azure Data Scientist Associate (DP-100) certification exam, which validates your expertise in data science and AI solutions using Azure.

Does the program include hands-on projects?

Yes, the program emphasizes practical learning through real-world projects and case studies. You will gain hands-on experience in building, training, and deploying machine learning models, as well as working with Azure’s advanced data science tools.

Disclaimer

This program does not require approval under the Ontario Career Colleges Act, 2005.

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    Financial Options

    When it comes to investing in your future it pays to choose the right course for you to build up a better future. We know sometimes training can seem expensive, however you must remember that investing in a quality course at the start of your journey or when you are planning to a career change or upgrade your skills will set you up for your future success as a qualified professional.

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