Azure Functions: Building Data-Driven Solutions With Python

Focused View

Kiril Spiridonov

1:44:16

14 View

1. Developing an Azure Function

1. Introduction.mp4

02:28

2. Data-Driven Mastery (Optional) Prerequisite for Great Success.html

3. Understanding Serverless Computing.mp4

05:06

4. Introduction to Azure Functions.mp4

04:21

5. Serverless Architecture Patterns.mp4

03:18

6. Deep Dive Into Serverless Computing.html

7. Serverless Computing.html

8. Installing Azure Functions Core Tools.mp4

02:17

9. Hello World Function.mp4

10:24

10.1 pandas.zip

10. Exploring Pandas Functions.mp4

06:32

11. Exploring Pandas Functions.html

12. Nested JSON Data Transformation.mp4

11:26

13. Finalizing Function Development Locally.mp4

10:49

14. Create an HTTP Triggered Function for Image Processing.html

15. Create an HTTP Triggered Function for Temperature Conversion.html

2. Azure Function in the Cloud

1. Pricing Calculator.mp4

06:27

2. Estimating Azure Costs with the Azure Pricing Calculator.html

3. Creating Function In The Cloud.mp4

06:53

4. Deploying Azure Function.mp4

06:03

5. Creating Blob Storage and Redeploying.mp4

08:04

6. Creating Blob Triggered Function.mp4

12:20

7. Monitoring and Logs.mp4

04:47

8. Azure Function Practice Test.html

9.1 funcs project.zip

9. Wrap Up.mp4

03:01

10. Wrap Up (Additional Azure Services).html

11. (Optional) Building and Deploying Your Azure Function.html

Description

Easy Serverless Solutions: Practical Azure Functions with Python

What You'll Learn?

Understanding of Azure Functions and Their Applications
Proficiency in Developing and Testing Azure Functions Locally with Python
Skills in Deploying and Managing Azure Functions in the Cloud
Integration and Utilization of Azure Blob Storage in Data-Driven Solutions
Mastery of Event-Driven Programming Patterns (HTTP requests, file uploads to Blob Storage)
Serverless Architecture
Calculating Costs of Azure Cloud Recourses

Who is this for?

Data Scientists and Data Engineers

Software Developers

IT Professionals and System Administrators

DevOps Enthusiasts

Technical Project Managers and Consultants

Students

What You Need to Know?

Basic knowledge of Python

Motivation to Learn

More details

Description
Unlock the power of serverless computing with our hands-on course, "Azure Functions: Building Data-Driven Solutions With Python." Whether you're a seasoned developer, cloud enthusiast, or data professional, this course is your gateway to mastering the art of building scalable, data-driven applications in the Azure cloud.

What You'll Learn:

Foundations of Azure Functions: Gain a solid understanding of serverless computing, delve into the event-driven model of Azure Functions.
Local Development and Testing: Learn to create and test Azure Functions locally using Python, setting up your development environment and ensuring seamless function performance.
Cloud Deployment: Navigate the Azure portal, create a Function App, and deploy your local functions to the cloud. Explore effective management and monitoring strategies using Azure Monitor and Application Insights.
Blob Storage Integration: Understand the intricacies of Azure Blob Storage and its integration with Azure Functions. Explore how to handle and process data efficiently in a cloud environment.
Event-Driven Programming and Scalability: Master event-driven programming patterns, allowing your applications to respond dynamically to various triggersÂ (such as HTTP requests and file uploads to Blob Storage). Learn to build scalable solutions that adapt to changing workloads.

Who Is This Course For:
This course is tailored for software developers and students, cloud enthusiasts, data scientists, and IT professionals eager to expand their skills in serverless computing. If you're ready to build efficient, secure, and scalable data-driven solutions with Azure Functions and Python, this course is your pathway to success.

Prerequisites:
Basic knowledge of Python programming and familiarity with cloud concepts will be beneficial, but not mandatory. This course is designed to accommodate individuals with a range of technical backgrounds.

!NB:
This course is made for different kinds of learners from various fields. Some parts might seem too easy or a bit hard. We encourage you to explore these topics further on your own and ask us questions. Our team is always ready to help you. Get involved, join in on discussions, and don't hesitate to reach out for any support you need.
Who this course is for:
Data Scientists and Data Engineers
Software Developers
IT Professionals and System Administrators
DevOps Enthusiasts
Technical Project Managers and Consultants
Students

User Reviews

Rating

average 0

Total votes0

Focused display

I specialize in designing, building, and maintaining scalable data pipelines that enable organizations to extract insights from their data. With a strong background in data architecture, database design, and ETL processes, I am well-versed in a variety of technologies and tools, including Spark, SQL, Azure, AWS, GCloud, and more.Throughout my career, I have successfully collaborated with cross-functional teams to develop data-driven solutions that support critical business initiatives. Whether it's optimizing data warehouses for faster query performance or automating data quality checks to ensure accuracy and completeness, I am committed to delivering high-quality, reliable data products that drive better decision-making.I am passionate about staying up-to-date with the latest trends and best practices in data engineering and enjoy sharing my knowledge through blog posts, conference talks, and mentorship. In my free time, I enjoy exploring new technologies and experimenting with personal projects that challenge me to expand my skills and knowledge.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.