technifyed

Microsoft via Microsoft Learn

Orchestrate durable AI workflows with Azure Durable Functions

Overview

Learn how to use Azure Durable Functions to coordinate reliable, long-running AI workflows with deterministic orchestration, parallel activities, human approval, retries, and compensation.

Syllabus 8

  1. Introduction 5 minutes
  2. Separate orchestration logic from activity work 10 minutes
  3. Process independent work with fan-out/fan-in 10 minutes
  4. Coordinate human approval with external events 10 minutes
  5. Design reliable workflow steps 10 minutes
  6. Exercise - Build a durable document-processing workflow 30 minutes
  7. Module assessment 5 minutes
  8. Summary 5 minutes

Skills you'll practise

Azure Functions

Advantages and disadvantages

Advantages

  • Free, official and kept up to date by Microsoft.
  • Free sandbox environments for many Azure exercises, no credit card needed.
  • Counts toward Microsoft certification exams (AZ-900, AI-900, PL-300…).
  • From Microsoft, a well-regarded name.
  • Free digital badge you can add to LinkedIn.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (8 parts) you can see before you start.

Disadvantages

  • Mostly reading, not video.
  • Focused on Microsoft products.
  • Short (1.5 hours): an overview, not deep coverage.

Some points apply to every course of this kind; see how we rank.

Free, with a free credential

  • Free: Sign in with any Microsoft account.
  • Badge: Finish it to earn a free badge on your Microsoft Learn profile.

Microsoft is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

Similar courses

Compare these

Massachusetts Institute of Technology · YouTube

MIT 15.S12 Blockchain and Money, Fall 2018

Instructor: Prof. Gary Gensler View the complete course: https://ocw.mit.edu/15-S12F18 This course is for students wishing to explore blockchain technology’s potential use - by entrepreneurs & incumbents - to change the world of money and finance. License: Creative Commons BY-NC-SA More information…

Free video23 videos, 29 hours

Massachusetts Institute of Technology · YouTube

MIT 6.006 Introduction to Algorithms, Fall 2011

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performa…

Free video47 videos, 42 hours

Harvard University · YouTube

CS50's Introduction to Programming with Python (CS50P) 2022

This is CS50P, CS50's Introduction to Programming with Python. Register for free at https://cs50.edx.org/python. Slides and source code at https://cs50.harvard.edu/python. Playlist at https://www.youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V. An introduction to programming using a la…

Free video11 videos, 16 hours

Harvard University · YouTube

CS50x 2023 Lectures

This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming, for concentrators and non-concentrators alike, with or without prior programming experience. (Two thirds of CS50 students have never taken CS before.) This course teaches…

Free video12 videos, 26 hours

Massachusetts Institute of Technology · YouTube

MIT 6.100L Introduction to CS and Programming using Python, Fall 2022

Instructor: Ana Bell View the complete course: https://ocw.mit.edu/courses/6-100l-introduction-to-cs-and-programming-using-python-fall-2022/ *Note: Lectures 6, 10 have been updated! This subject is aimed at students with little to no programming experience. It aims to provide students with an under…

Free video26 videos, 28 hours

Massachusetts Institute of Technology · YouTube

MIT 18.650 Statistics for Applications, Fall 2016

MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. The goal is to understand the role of mathe…

Free video22 videos, 28 hours

Enter your email and the official page opens. Phone is optional.