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Generative AI for .NET Developers with Azure AI Services

Generative AI for .NET Developers with Azure AI Services equips .NET developers to build intelligent applications using Azure OpenAI and Azure AI Foundry. It addresses the industry gap in AI-integrated software development, where 78% of enterprises report urgent demand for developers skilled in generative AI, according to Microsoft’s 2025 AI Skills Report.

This course prepares learners for the Microsoft Certified: Azure AI Fundamentals certification, featuring Koenig’s Guaranteed-to-Run scheduling and 30-day lab access. Master Azure AI tools to unlock roles in AI engineering with real-world, production-ready skills.

40 Hours (5 Days)
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1+ professionals trained

Training Formats & Pricing

1-on-1 USD 2,200
Dedicated instructor, your schedule Fastest
Public Batch USD 1,750
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Course Overview

The Generative AI for .NET Developers with Azure AI Services course by Microsoft is designed for .NET developers aiming to integrate generative AI capabilities into their applications, particularly those preparing for the Microsoft Certified: Azure AI Fundamentals certification. Targeted at roles such as AI Solutions Developers, .NET Software Engineers, and Cloud Application Developers, this course addresses the growing industry demand for AI integration, with over 70% of enterprises now adopting AI technologies to enhance software functionality. Participants will gain essential skills in leveraging Azure's AI ecosystem to build intelligent, scalable applications.

This comprehensive training covers key Microsoft technologies including Azure OpenAI Service, Azure AI Foundry, GitHub Codespaces, Ollama for local model hosting, Microsoft.Extensions.AI abstractions, and the Microsoft Agent Framework. Through hands-on labs in the Azure Portal and GitHub Codespaces environment, students build practical solutions such as retrieval-augmented generation (RAG) systems and multi-agent applications. A core project involves configuring and deploying a chatbot with memory and context management using the Azure OpenAI SDK for .NET, providing real-world experience in creating production-ready generative AI applications.

Preparation for the Microsoft Certified: Azure AI Fundamentals credential ensures participants gain industry-recognized expertise in Azure AI workloads, with certified professionals seeing median salaries reach approximately $131,301 in the United States. Koenig Solutions enhances this learning journey with Guaranteed-to-Run scheduling and official Microsoft courseware, ensuring consistent access to up-to-date training. Completing this course positions .NET developers to lead AI-driven innovation in modern application development, opening pathways to advanced roles in AI engineering and cloud solutions architecture.

What You'll Learn

Configure Azure OpenAI resources within .NET 8 and .NET 9 applications to enable scalable generative AI integration.
Implement chat completions using the Azure OpenAI SDK to build intelligent conversational experiences.
Design retrieval augmented generation solutions using Azure AI Search to deliver context-aware responses in .NET applications.
Develop autonomous AI agents using Semantic Kernel to automate complex workflows and operational tasks.
Secure generative AI applications by implementing content filtering to ensure compliance and safe user interactions.
Optimize model performance through prompt engineering techniques to achieve precise and relevant outputs in .NET environments.

Skills You'll Gain

Azure AI Services Azure OpenAI Service Generative AI Development LLM Integration RAG Implementation Azure AI Search Semantic Kernel Azure Functions Azure App Services Azure Managed Identities Azure Key Vault Azure Monitor Vector Database Integration Prompt Engineering AI Agent Development Model Context Protocol Azure AI Foundry

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of .NET 8+ development is essential for mastering this course, which is designed to enhance your AI skills.
  • Familiarity with C# programming language and modern IDEs like Visual Studio 2022 or VS Code helps you quickly grasp the concepts covered, ideal for developers seeking to integrate AI into their applications.
  • Foundational familiarity with Azure portal navigation is required to effectively manage the resources used throughout this course, enabling you to build intelligent solutions efficiently.
  • Knowledge of Microsoft.Extensions.AI abstractions allows you to optimize your AI integrations, focusing on practical implementation.
  • Ability to configure and use Azure Developer CLI (azd) is a key prerequisite, empowering you to deploy AI solutions seamlessly.
  • Understanding of AI models such as gpt-4o, gpt-4o-mini, and text-embedding-3-small is vital for getting the most out of this course, which covers the latest advancements in AI technology.
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Certification Exam

Everything you need to know about the Generative AI for .NET Developers with Azure AI Services certification exam

Exam Details
Exam Name
Generative AI for .NET Developers with Azure AI Services
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
24 hours for the first retake, 14 days for subsequent attempts
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Generative AI for .NET Developers with Azure AI Services

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Course Curriculum

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

1
Day 1– Mastering Generative AI Foundations
Define Generative AI for .NET Developers with Azure AI Services Integrate .NET ecosystems with advanced AI models Map core components of the Microsoft AI stack Configure cloud environments using GitHub Codespaces Secure .NET applications via Azure OpenAI authentication Execute production-ready AI applications locally Contrast generative AI versus traditional coding logic Utilize Microsoft.Extensions.AI for unified abstractions
2
Day 2– Advanced Generative AI Techniques
Develop persistent chat memory for .NET apps Engineer context-aware, intelligent AI interactions Leverage text embeddings for precise semantic similarity Analyze complex images using Microsoft AI models Invoke AI services via Microsoft.Extensions.AI libraries Apply expert prompt engineering for optimal results Extract structured data outputs from modern LLMs Execute robust function calling within .NET code
3
Day 3– Scalable AI Patterns and Applications
Construct semantic search using vector indexing Implement Retrieval Augmented Generation (RAG) workflows Automate document processing and content understanding Integrate multi-pattern AI for enterprise solutions Optimize vector databases for high-speed similarity search Streamline data ingestion for efficient AI workflows Validate model response accuracy and reliability Deploy scalable RAG architectures in .NET environments
4
Day 4– Building Agents with Microsoft Framework
Distinguish autonomous agents from standard chatbots Develop agents with advanced tool-use capabilities Orchestrate multi-agent collaborative task systems Implement the Model Context Protocol (MCP) standard Automate complex business workflows using AI agents Design agent reasoning and strategic planning logic Secure communication channels between AI agents Scale agent-based applications for production workloads
5
Day 5– Responsible AI Implementation Standards
Detect algorithmic bias in generative AI applications Apply mitigation strategies for model output bias Deploy content safety guardrails for Azure AI Ensure transparency and explainability in AI systems Integrate ethical AI considerations into development Evaluate system fairness using Microsoft benchmarks Monitor applications for harmful content generation Document AI decision-making for compliance standards

What's Included in Your Training

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

Career Outcomes

82%

of Generative AI for .NET Developers with Azure AI Services certified professionals report career advancement within 6 months

Salary Impact

+27%

Average salary increase reported after obtaining the Generative AI for .NET Developers with Azure AI Services 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
  • .NET Generative AI Developer
  • AI Solutions Architect
  • Cloud AI Developer
  • Generative AI Consultant
  • Machine Learning Engineer - .NET

Companies Hiring

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

and 5,000+ organizations worldwide seeking Generative AI for .NET Developers with Azure AI Services 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+
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    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

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    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.

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    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 Generative AI for .NET Developers with Azure AI Services training course

Is the certification exam included in the Generative AI for .NET Developers with Azure AI Services course, and what is the exam fee?
The Generative AI for .NET Developers with Azure AI Services course does not include the certification exam fee. The Microsoft AI-103 exam for the Azure AI Apps and Agents Developer Associate certification costs $165 USD, subject to regional pricing. You must register and pay via Pearson VUE to secure your proctored exam slot.
What training formats does Koenig offer for the Generative AI for .NET Developers with Azure AI Services course, and is Guaranteed-to-Run scheduling available?
Koenig provides live online, instructor-led, and classroom training for Generative AI for .NET Developers with Azure AI Services. Our Guaranteed-to-Run scheduling ensures your session proceeds as planned, regardless of enrollment size. This provides .NET developers with reliable, consistent access to essential training for achieving Microsoft Azure AI certifications.
How long is lab access provided for the Generative AI for .NET Developers with Azure AI Services course, and what environment is used?
You receive 30 days of lab access post-completion for Generative AI for .NET Developers with Azure AI Services. Hosted in a secure cloud sandbox, you will use GitHub Codespaces and Azure AI Foundry. This environment enables hands-on practice with generative AI models, intelligent agents, and RAG patterns in a preconfigured, professional-grade development setting.
What is Koenig's rescheduling and cancellation policy for the Generative AI for .NET Developers with Azure AI Services course?
Koenig offers free rescheduling for Generative AI for .NET Developers with Azure AI Services with 7 days' notice. Cancellations within 7 days incur a 10% fee. Our standard training policy ensures maximum flexibility while maintaining the high-quality scheduling integrity required for our expert-led and Guaranteed-to-Run training sessions.
What is the format, number of questions, time limit, and passing score for the AI-103 certification exam?
The AI-103 exam for the Azure AI Apps and Agents Developer Associate credential features 40–60 questions, including case studies and interactive items. You have 100 minutes to complete the test. A scaled score of 700 out of 1000 is required to pass, confirming your proficiency in generative AI and Azure AI implementation.
How long is the Microsoft Certified: Azure AI Apps and Agents Developer Associate certification valid, and what is the renewal process?
This Microsoft certification is valid for one year. You can renew it six months before expiration by passing a free, unproctored assessment on Microsoft Learn. This assessment covers the latest updates to Azure AI services. Completion immediately extends your certification expiration date at no additional cost to the developer.
Does Koenig provide post-training support after completing the Generative AI for .NET Developers with Azure AI Services course?
Yes, Koenig offers 90 days of post-training support for Generative AI for .NET Developers with Azure AI Services. This includes mentor access, recorded sessions, and community forums. We provide guidance on certification renewal and lab updates, ensuring you remain exam-ready for the Azure AI Apps and Agents Developer Associate credential.
What are the prerequisites and recommended experience for the Generative AI for .NET Developers with Azure AI Services course?
Learners should possess experience in C# and .NET development, REST APIs, and foundational Azure services. Familiarity with generative AI concepts and Python is advantageous. This course leverages these skills to help you master advanced AI patterns using the Microsoft Agent Framework and Azure AI Foundry for enterprise-grade solutions.
What career opportunities and salary ranges can result from earning the Azure AI Apps and Agents Developer Associate certification?
Earning the Azure AI Apps and Agents Developer Associate certification qualifies you for roles like AI Engineer or .NET AI Developer. Professionals typically see salaries between $110,000 and $145,000 in the U.S. This credential validates your expertise in deploying agentic AI solutions, significantly increasing your competitiveness in high-growth, AI-driven software development markets.
How does instructor-led training for Generative AI for .NET Developers compare to self-study for certification preparation?
Instructor-led training for Generative AI for .NET Developers with Azure AI Services offers structured guidance and live labs that outperform self-study. Koenig covers 100% of AI-103 exam objectives through hands-on projects in Microsoft Foundry. This expert-led approach accelerates your practical skill acquisition and significantly improves your chances of passing the certification exam.
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