05-04-2026, 09:09 PM
[center]![[Image: 4460b2a6daf71c6ed5237ffd8546f56c.jpg]](https://i127.fastpic.org/big/2026/0505/6c/4460b2a6daf71c6ed5237ffd8546f56c.jpg)
Ai-103 Azure Ai Engineer Certification: Openai & Rag (new)
Published 4/2026
Created by Sandeep Soni
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 64 Lectures ( 22h 57m ) | Size: 14.6 GB [/center]
Certification Course: Master Azure AI-103 with OpenAI, RAG, Agents, Vision, Search & Real-world Projects
What you'll learn
✓ Build AI applications using Azure OpenAI and AI Services
✓ Work with REST APIs and SDKs for AI integration
✓ Develop solution using Azure AI Foundry
✓ Implement AI gents and agent workslows
✓ Build intelligent search systems using Azure AI Search
✓ Implement RAG (Retrieval-Augmented Generation) architectures
✓ Use vector search and knowledge bases
✓ Work with AI tools like code interpreter and file search
✓ Design real-world AI-powered applications
✓ Understand performance evaluation and responsible AI
Requirements
● Basic knowledge of Azure fundamentals
● Familiarity with programming (C# or Python preferred)
● Understanding of REST APIs
● Basic awareness of AI concepts (helpful but not mandatory)
Description
This Certification Course for Azure AI-103 is designed to take you beyond theory and help you build real, production-ready AI solutions using Microsoft Azure AI services.
Unlike typical certification prep courses that focus only on practice questions, this course provides a complete hands-on learning experience aligned with real-world industry use cases and the latest Azure AI capabilities.
You will start with the fundamentals of Azure AI services, including provisioning resources, working with REST APIs, and understanding core AI workloads. From there, you'll dive deep into Azure OpenAI, learning how to work with models, SDKs, and secure authentication using Entra ID.
A major focus of this course is on modern AI architectures such as RAG (Retrieval-Augmented Generation) and Agent-based systems, where you will learn how to build intelligent applications using vector search, knowledge bases, and custom tools.
You will also gain practical experience with Azure AI Foundry, enabling you to create, manage, and evaluate AI projects while following Responsible AI principles.
The course further covers essential AI services including
• Azure AI Search for intelligent data retrieval
• Vision AI for image analysis, OCR, and face detection
• Language services for NLP tasks and conversational AI
• Speech services for real-time voice applications
By the end of this course, you will not only be fully prepared for the Microsoft Azure AI Engineer Associate (AI-103) certification but also capable of building scalable, enterprise-grade AI solutions.
This course is ideal for developers, cloud engineers, and AI enthusiasts who want to move from learning concepts to actually building AI systems that matter.
Who this course is for
■ AI Engineers
■ Cloud Developers
■ Azure Developers
■ Software Engineers building AI applications
■ Professionals working on AI-powered solutions
■ Learners preparing for AI-103 or advanced AI roles
Ai-103 Azure Ai Engineer Certification: Openai & Rag (new)
Published 4/2026
Created by Sandeep Soni
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 64 Lectures ( 22h 57m ) | Size: 14.6 GB [/center]
Certification Course: Master Azure AI-103 with OpenAI, RAG, Agents, Vision, Search & Real-world Projects
What you'll learn
✓ Build AI applications using Azure OpenAI and AI Services
✓ Work with REST APIs and SDKs for AI integration
✓ Develop solution using Azure AI Foundry
✓ Implement AI gents and agent workslows
✓ Build intelligent search systems using Azure AI Search
✓ Implement RAG (Retrieval-Augmented Generation) architectures
✓ Use vector search and knowledge bases
✓ Work with AI tools like code interpreter and file search
✓ Design real-world AI-powered applications
✓ Understand performance evaluation and responsible AI
Requirements
● Basic knowledge of Azure fundamentals
● Familiarity with programming (C# or Python preferred)
● Understanding of REST APIs
● Basic awareness of AI concepts (helpful but not mandatory)
Description
This Certification Course for Azure AI-103 is designed to take you beyond theory and help you build real, production-ready AI solutions using Microsoft Azure AI services.
Unlike typical certification prep courses that focus only on practice questions, this course provides a complete hands-on learning experience aligned with real-world industry use cases and the latest Azure AI capabilities.
You will start with the fundamentals of Azure AI services, including provisioning resources, working with REST APIs, and understanding core AI workloads. From there, you'll dive deep into Azure OpenAI, learning how to work with models, SDKs, and secure authentication using Entra ID.
A major focus of this course is on modern AI architectures such as RAG (Retrieval-Augmented Generation) and Agent-based systems, where you will learn how to build intelligent applications using vector search, knowledge bases, and custom tools.
You will also gain practical experience with Azure AI Foundry, enabling you to create, manage, and evaluate AI projects while following Responsible AI principles.
The course further covers essential AI services including
• Azure AI Search for intelligent data retrieval
• Vision AI for image analysis, OCR, and face detection
• Language services for NLP tasks and conversational AI
• Speech services for real-time voice applications
By the end of this course, you will not only be fully prepared for the Microsoft Azure AI Engineer Associate (AI-103) certification but also capable of building scalable, enterprise-grade AI solutions.
This course is ideal for developers, cloud engineers, and AI enthusiasts who want to move from learning concepts to actually building AI systems that matter.
Who this course is for
■ AI Engineers
■ Cloud Developers
■ Azure Developers
■ Software Engineers building AI applications
■ Professionals working on AI-powered solutions
■ Learners preparing for AI-103 or advanced AI roles
Code:
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