| 1 -APIM_Loves_Azure_AI.pptx | 11.1 MB | ||
| 1 -Course Introduction.mp4 | 40.3 MB | ||
| 1 -GitHub Repo.url | 102.4 B | ||
| 1 -Introduction to API Management with Azure AI APIM Loves Azure AI.mp4 | 146.6 MB | ||
| 1 -Introduction to Azure AI Foundry.mp4 | 57 MB | ||
| 1 -Introduction to Azure API Management and API Lifecycle.mp4 | 57.4 MB | ||
| 1 -Introduction to Azure APIM Multi-Region Load Balanced Deployments.mp4 | 68.5 MB | ||
| 1 -Introduction to Azure Content Safety with Azure APIM.mp4 | 49.1 MB | ||
| 1 -Introduction to Azure Managed Redis and Semantic Search.mp4 | 72.9 MB | ||
| 1 -Introduction_to_Semantic_Caching_Redis_and_Azure_OpenAI.pptx | 525.3 KB | ||
| 1 -Lab 1 Building an OpenAI API as an APIM HTTP API (Hands-On Lab).mp4 | 153.9 MB | ||
| 1 -Lab 1 Deploying an Azure OpenAI Resource with a GPT-4o LLM (Hands-On Lab).mp4 | 67.8 MB | ||
| 1 -course_introduction.pptx | 9 MB | ||
| 1 -intro_to_azure_API_Management.pptx | 3.9 MB | ||
| 1 -introduction_to_Azure_Ai_Studio.pptx | 2.3 MB | ||
| 1 -introduction_to_content_safety_with_APIM.pptx | 739.3 KB | ||
| 1 -load_balancing_introduction.pptx | 905.8 KB | ||
| 10 -GitHub Repo.url | 102.4 B | ||
| 10 -Lab 4 Accessing Azure APIM Dev Portal for Testing APIs (Hands-On Lab).mp4 | 127.9 MB | ||
| 11 -GitHub Repo.url | 102.4 B | ||
| 11 -Lab 5 Creating Rate Limiting and Caching Policies for our APIs (Hands-On Lab).mp4 | 147.7 MB | ||
| 12 -API Lifecycle with Azure APIM Understanding the Scale Part.mp4 | 31.2 MB | ||
| 12 -intro_to_azure_API_Management.pptx | 3.9 MB | ||
| 13 -API Lifecycle with Azure APIM Understanding the Monitor and Analyze Part.mp4 | 19.7 MB | ||
| 13 -intro_to_azure_API_Management.pptx | 3.9 MB | ||
| 14 -GitHub Repo.url | 102.4 B | ||
| 14 -Lab 6 Analyzing usage Metrics with App Insights and Log Analytics Workspace.mp4 | 91.5 MB | ||
| 2 -API Lifecycle with Azure APIM Understanding the Design Part.mp4 | 54.3 MB | ||
| 2 -GitHub Repo.url | 102.4 B | ||
| 2 -Introduction to Vector Embeddings.mp4 | 118.3 MB | ||
| 2 -Lab 1 Deploying Multi-Region Azure OpenAI Deployments (Hands-On Lab).mp4 | 45.6 MB | ||
| 2 -Lab 1 Deploying an Azure AI Foundry Resource (Hands-On Lab).mp4 | 90 MB | ||
| 2 -Lab 1 Deploying an Azure Content Safety Studio and Walkthrough (Hands-On Lab).mp4 | 103.6 MB | ||
| 2 -Lab 2 Creating an OpenAI API With Azure APIM (Hands-On Lab).mp4 | 211.7 MB | ||
| 2 -Lab 2 Doubling Down on Security & API Keys with Named Values (Hands-On Lab).mp4 | 54 MB | ||
| 2 -intro_to_azure_API_Management.pptx | 3.9 MB | ||
| 2 -vector_embeddings_introduction.pptx | 833.2 KB | ||
| 3 -GitHub Repo.url | 102.4 B | ||
| 3 -Lab 1 Making Use of Vector Embeddings from Azure OpenAI Resource (Hands-On Lab).mp4 | 70.1 MB | ||
| 3 -Lab 2 Calling Azure Content Safety Studio with API Calls (Hands-On Lab).mp4 | 84 MB | ||
| 3 -Lab 2 Creating Circuit Breakers and Load Balancer backend Pools (Hands-On Lab).mp4 | 221.3 MB | ||
| 3 -Lab 2 Creating an Azure AI Foundry API with Azure APIM (Hands-On Lab).mp4 | 97.2 MB | ||
| 3 -Lab 3 Calling our OpenAI API from Python Notebooks (Hands-On Lab).mp4 | 291.1 MB | ||
| 3 -Lab 3 Doubling Down on Security with Managed Identity Auth (Hands-On Lab).mp4 | 102.4 MB | ||
| 3 -Note GitHub Repo For the Labs in the Course.mp4 | 27 MB | ||
| 4 -GitHub Repo.url | 102.4 B | ||
| 4 -Lab 1 Deploying Azure API Management Instance.mp4 | 85.5 MB | ||
| 4 -Lab 2 Setting Up and Seeing Semantic Cache in Action (Hands-On Lab).mp4 | 221 MB | ||
| 4 -Lab 3 Calling our AI Foundry API from Python Notebooks (Hands-On Lab).mp4 | 113.3 MB | ||
| 4 -Lab 3 Configuring Content Safety APIM Policy (Hands-On Lab).mp4 | 172.2 MB | ||
| 4 -Lab 3 Seeing Load Balancing in Action with Python Notebook (Hands-On Lab).mp4 | 123.6 MB | ||
| 5 -API Lifecycle with Azure APIM Understanding the Develop Part.mp4 | 78.4 MB | ||
| 5 -GitHub Repo.url | 102.4 B | ||
| 5 -Lab 4 Content Safety Filters in Action with Python Notebook (Hands-On Lab).mp4 | 83.5 MB | ||
| 5 -intro_to_azure_API_Management.pptx | 3.9 MB | ||
| 6 -GitHub Repo.url | 102.4 B | ||
| 6 -Lab 2 Building an HTTP API from Scratch in Azure APIM (Hands-On Lab).mp4 | 126.1 MB | ||
| 7 -GitHub Repo.url | 102.4 B | ||
| 7 -Lab 3 Building an API From OpenAPI Spec (Hands-On Lab).mp4 | 83.3 MB | ||
| 8 -API Lifecycle with Azure APIM Understanding the Secure Part.mp4 | 41.4 MB | ||
| 8 -intro_to_azure_API_Management.pptx | 3.9 MB | ||
| 9 -API Lifecycle with Azure APIM Understanding the Publish Part.mp4 | 16.7 MB | ||
| 9 -intro_to_azure_API_Management.pptx | 3.9 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 78 total files | |||
Productionize Azure AI Foundry Agents with API Management
https://WebToolTip.com
Published 5/2025
Created by Kuljot Singh Bakshi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 39 Lectures ( 7h 28m ) | Size: 3.8 GB
Secure, scale & expose GenAI workflows using Azure API Management, Prompt Flows, and AI Agents in Azure Foundry & OpenAI
What you'll learn
Design and deploy GenAI workflows using Azure OpenAI and Azure AI Foundry with production-grade reliability.
Secure and expose GenAI services via REST APIs using Azure API Management, with proper authentication and rate limiting.
Implement real-world API management techniques such as semantic caching, load balancing, and circuit breaker patterns.
Build scalable, versioned, and monetizable GenAI APIs with zero-downtime deployments and monitoring dashboards.
Requirements
Knowledge about how the Web Works required
Knowledge about Restful APIs required
Knowledge about Generative AI required
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