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Build an AI App with Azure Using RAG Intermediate

Build an AI App with Azure Using RAG teaches AI engineers and cloud developers to design and deploy production-grade generative AI applications using Retrieval-Augmented Generation on Microsoft Azure. It solves the critical challenge of grounding large language models with proprietary data to improve accuracy and reduce hallucinations. With 74% of LLM-focused roles now requiring RAG skills, this course delivers hands-on experience in building secure, scalable AI solutions using Azure AI Search, vector databases, and responsible AI practices.

This course prepares learners for the Microsoft Certified: Azure AI Engineer Associate (AI-102) certification, validating expertise in implementing generative AI solutions. Koenig Solutions provides official Microsoft-authorized courseware and 30-day lab access, enabling learners to master RAG patterns and deploy real-world AI agents confidently.

8 Hours (1 Days)
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0+ professionals trained

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1-on-1 USD 850
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Public Batch USD 650
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Course Overview

The Microsoft course "Build an AI App with Azure Using RAG" is designed to equip developers and AI engineers with the skills to create intelligent applications leveraging Retrieval-Augmented Generation (RAG) on the Azure platform. This training supports preparation for the Microsoft Certified: Azure AI Engineer Associate certification (exam AI-102), which validates expertise in designing and implementing AI solutions using Azure AI services. Targeted at AI Engineers, Cloud Developers, and Solutions Architects, the course addresses a growing industry demand, as 78% of enterprises now prioritize AI integration into business applications, according to Microsoft’s 2025 AI Adoption Report. It is ideal for professionals aiming to build secure, scalable, and data-grounded generative AI solutions in the cloud.

Participants engage with core Azure services including Azure AI Studio, Azure OpenAI Service, Azure AI Search, Azure App Service, and the Microsoft Foundry SDK, all accessed through the Azure Portal. The hands-on labs focus on building a production-ready RAG-based chat application that retrieves information from custom data sources such as product catalogs or enterprise documents. Students configure hybrid search with semantic and vector indexing, implement prompt flow to ground large language models in proprietary data, and deploy a full-stack AI application using managed identities for secure service-to-service communication. A key project involves creating a client-facing AI assistant for a retail scenario, where the app answers domain-specific queries like “Which sleeping bag is best for sub-zero temperatures?” by retrieving and synthesizing data from indexed documents.

This course prepares learners for the Microsoft Certified: Azure AI Engineer Associate credential, a globally recognized certification that demonstrates proficiency in enterprise AI development on Azure. Certified professionals report an average salary of $166,650 in the U.S., with senior roles exceeding $200,000, reflecting high market demand. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches, official Microsoft courseware, and optional 1-on-1 mentoring to ensure mastery of complex RAG architectures. Upon completion, graduates are positioned to lead AI innovation in organizations adopting generative AI, paving the way for roles in AI solution design, cloud intelligence, and responsible AI governance.

What You'll Learn

Configure Azure AI Search indexes to enable vector-based data retrieval for RAG applications.
Implement Retrieval Augmented Generation patterns within Azure AI Studio to improve response accuracy.
Deploy generative AI applications using the Azure AI SDK to integrate LLM capabilities.
Design RAG pipelines using Azure Database for PostgreSQL to manage data flow and information processing.
Secure knowledge bases using Azure AI Studio access controls to maintain data privacy and compliance.
Optimize AI model performance using Azure AI Inference to reduce latency and increase throughput.

Skills You'll Gain

Retrieval Augmented Generation Azure AI Search Azure OpenAI Service RAG Implementation Vector Search Hybrid Search Semantic Reranking Indexing Data Document Retrieval Managed Identities Prompt Engineering Azure AI Inference Azure App Service Azure Storage Accounts Cognitive Search Azure SDK AI-Powered Applications

Prerequisites

Recommended knowledge before taking this course
  • The Build an AI App with Azure Using RAG course is a specialized Microsoft Learn module designed for developers. To successfully complete this training, learners must meet the following technical prerequisites:
  • [
  • "Programming experience in Python 3.11 or later is required to utilize the azure-search-documents library version 11.4.0 or higher.",
  • "Proficiency in managing Azure AI services and active Azure subscriptions for resource deployment.",
  • "Understanding of Retrieval-Augmented Generation patterns to integrate generative AI with external data sources.",
  • "Experience deploying Azure OpenAI models and utilizing langchain version 0.1.0 or later for orchestration.",
  • "Knowledge of Azure AI Search for indexing and managing multimodal data structures.",
  • "Ability to configure vector databases for semantic search and retrieval operations."
  • ]
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Certification Exam

Everything you need to know about the Build an AI App with Azure Using RAG certification exam

Exam Details
Exam Name
Build an AI App with Azure Using RAG
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates failing the Build an AI App with Azure Using RAG certification exam may retake it after 24 hours. Subsequent attempts require a 14-day waiting period, with a maximum of five attempts allowed annually.
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Plan and Prepare AI Solutions on Azure
Master AI and Azure AI Foundry fundamentals Navigate essential Azure AI Foundry SDKs and tools Configure your professional development environment Implement secure, responsible AI principles Identify core Azure AI service capabilities Utilize Azure OpenAI model playground for rapid exploration Select optimal models using industry benchmarks Deploy scalable models to production endpoints
2
Day 2– Develop Generative AI Apps and Agents
Build advanced generative AI chat applications Master the Azure OpenAI Responses API for chat Implement efficient Azure OpenAI ChatCompletions API workflows Integrate powerful tools into AI apps Use code_interpreter and web_search tools Configure file_search and custom function tools Develop responsive speech-enabled AI applications Create high-performance vision-enabled generative apps
3
Day 3– Optimize AI Models and Implement RAG
Apply expert prompt engineering techniques using Prompt Flow Implement Retrieval-Augmented Generation (RAG) patterns using Azure AI Search and Azure OpenAI Service Fine-tune models for superior output consistency Compare advanced model optimization strategies Understand RAG architecture for AI agents Explore powerful Azure AI Search capabilities Configure data sources for knowledge bases Set up intelligent retrieval with Vector Search
4
Day 4– Build and Integrate AI Agents
Develop intelligent agents using Visual Studio Code Extend agent capabilities with specialized tools Integrate custom tools into AI agents Use MCP servers for seamless integration Connect autonomous agents with Microsoft 365 Build efficient agent-driven business workflows Orchestrate complex multi-agent software solutions Discover Azure AI Agents with Azure AI Agent Service

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of Build an AI App with Azure Using RAG certified professionals report career advancement within 6 months

Salary Impact

+23%

Average salary increase reported after obtaining the Build an AI App with Azure Using RAG certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Azure AI Engineer
  • Generative AI Developer
  • AI Solutions Architect
  • RAG Application Developer
  • Cloud AI Specialist
  • Azure Machine Learning Engineer

Companies Hiring

5,000+
Microsoft Accenture Deloitte Capgemini Infosys TCS JPMorgan Chase Goldman Sachs IBM PwC

and 5,000+ organizations worldwide seeking Build an AI App with Azure Using RAG certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
Average Rating
95%
Would Recommend
1M+
Professionals Trained
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Build an AI App with Azure Using RAG training course

Is the certification exam included in the Build an AI App with Azure Using RAG course fee?
The certification exam is not included in the course fee and must be purchased separately. The Microsoft AI-103 exam costs $165 USD, with pricing varying by region. Candidates must schedule and pay through Pearson VUE to earn the Microsoft Certified: Azure AI Apps and Agents Developer Associate credential.
What training formats does Koenig offer for Build an AI App with Azure Using RAG?
Koenig offers live online 1-on-1, public instructor-led, and self-paced training for this Microsoft course. Guaranteed-to-Run scheduling is available for public batches, ensuring sessions proceed as planned. All formats include official Microsoft courseware and hands-on labs for practical experience.
How long is lab access provided for Build an AI App with Azure Using RAG?
Lab access is provided for 30 days post-training via a secure, cloud-based Azure sandbox. This environment includes Azure OpenAI Studio, REST APIs, and SDKs, allowing learners to build RAG-based AI applications in a real-world simulation using Jupyter Notebooks and GitHub Codespaces.
What is Koenig's rescheduling and cancellation policy for Build an AI App with Azure Using RAG?
Koenig allows free rescheduling with at least 7 days' notice. Rescheduling within 7 days incurs a 25% fee, while cancellations are subject to a 15% administrative fee. This policy ensures scheduling integrity while offering flexibility for participants to adjust their training timeline.
What is the exam format, passing score, and time limit for the AI-103 certification?
The AI-103 exam lasts 120 minutes with 40–60 questions, including multiple-choice, case studies, and interactive lab components. The passing score is 700/1,000. It assesses skills in generative AI, agentic solutions, and responsible AI practices on Microsoft Foundry for Build an AI App with Azure Using RAG.
How long is the certification valid, and what is the renewal process for AI-103?
The Microsoft Certified: Azure AI Apps and Agents Developer Associate certification is valid for one year. Renewal is completed via a free, unproctored online assessment on Microsoft Learn, which focuses on Azure AI service updates and must be passed before the expiration date to maintain status.
What post-training support does Koenig provide for Build an AI App with Azure Using RAG?
Koenig provides 30 days of post-training support, including session recordings, lab access, and 6 hours of free trainer consultation. Learners can schedule doubt-clearing sessions and access Qubits for self-assessment to reinforce knowledge and exam readiness for the Microsoft AI-103 certification.
What are the prerequisites for the Build an AI App with Azure Using RAG course?
Learners should have Python programming experience and foundational Azure knowledge. Familiarity with AI concepts, REST APIs, and SDKs is recommended. This course targets software developers and AI engineers aiming to build generative AI applications using Azure OpenAI and Microsoft Foundry platforms.
What career impact can participants expect after completing Build an AI App with Azure Using RAG?
Graduates are prepared for roles such as AI Engineer, with average salaries exceeding $140,000 in North America. The course aligns with the AI-103 certification, validating in-demand skills in building agentic AI solutions and enhancing career advancement in cloud and enterprise AI development.
How does this course compare to self-study for Build an AI App with Azure Using RAG?
This instructor-led course delivers structured, hands-on learning in 8 hours, compared to 6–10 weeks for self-study. With guided labs, expert mentorship, and real-time feedback, it accelerates mastery of RAG implementation and Azure AI tools, increasing exam success rates over independent study using only Microsoft Learn.
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