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Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal

The Azure AI-3016 course equips AI engineers and data scientists with skills to build generative AI applications using the Azure AI Foundry portal, solving the industry challenge of deploying secure, high-performance copilots. Learners master model selection, RAG implementation, prompt flow development, and responsible AI practices—critical as Microsoft reports over 2,000 professionals have already earned related Applied Skills credentials.

This course prepares learners for the Microsoft Applied Skills credential: Develop generative AI apps by using Azure AI Foundry portal. Koenig Solutions delivers official vendor-authorized courseware and Guaranteed-to-Run dates, ensuring access to live instruction and hands-on labs. Graduates gain the expertise to deploy production-ready AI solutions that drive innovation in enterprise environments.

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Course Overview

The Microsoft course Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal is designed to prepare learners for the Applied Skills assessment "Develop generative AI apps by using Azure AI Foundry portal," equipping data scientists, AI engineers, and cloud developers with practical skills to build custom copilots and generative AI applications. With 78% of enterprises now investing in generative AI platforms, this course meets growing industry demand for professionals who can deploy responsible, high-performance AI solutions using Microsoft’s integrated development environment. It focuses on real-world implementation across planning, development, evaluation, and governance stages, ensuring participants gain job-ready expertise aligned with modern AI engineering practices.

Students engage with key Microsoft tools including Azure AI Studio, Azure AI Foundry SDK, Prompt Flow, Retrieval Augmented Generation (RAG), model catalog, and content filters within the Azure Portal lab environment. Through hands-on labs, they build a fully functional generative AI chat application that integrates custom data sources via RAG, deploys models to endpoints, and applies prompt engineering techniques to optimize responses. A core project involves creating a secure copilot with input and output filters, evaluating its performance using built-in metrics for safety and quality, and fine-tuning behavior through manual and automated assessments—mirroring actual deployment workflows used by enterprise AI teams.

This course prepares candidates for the Microsoft Applied Skills credential in generative AI, a recognized validation of practical cloud AI proficiency increasingly sought by employers in digital transformation initiatives. Professionals with these validated skills report average salary increases of up to 20% in AI engineering roles, reflecting strong market value. Koenig Solutions delivers this official Microsoft curriculum through Guaranteed-to-Run batches and 1-on-1 training options, ensuring flexible, assured access to accredited learning. Upon completion, learners are positioned to lead generative AI application development in enterprise environments, driving innovation with secure, scalable, and responsible AI solutions on the Azure platform.

What You'll Learn

Configure Azure AI Foundry project environments and resources for generative AI development in Azure AI-3016
Select and deploy models from the Azure AI Foundry Model Catalog to build scalable AI solutions
Develop advanced generative AI chat applications using Azure AI Foundry Prompt Flow to enhance user engagement
Implement Retrieval Augmented Generation in Azure AI Foundry to improve AI response accuracy and relevance
Optimize model performance through prompt engineering techniques in Azure AI Foundry Prompt Flow for faster, more accurate outputs
Implement responsible AI practices with content filters in Azure AI Foundry to ensure ethical and compliant AI deployment

Skills You'll Gain

Azure AI Foundry Generative AI Apps Prompt Flow RAG Implementation Azure AI Studio Language Model Deployment Model Evaluation Fine-Tuning LLMs Azure AI Search Content Filtering Responsible AI AI Hub Configuration Copilot Development Response API Python Node Configuration Data Grounding Model Catalog Selection

Prerequisites

Recommended knowledge before taking this course
  • Basic AI concepts and services in Azure, including foundational knowledge of generative AI models
  • Fundamental understanding of Azure AI services such as Azure OpenAI, Azure AI Services, and Azure Machine Learning
  • Proficiency in Python or C# to effectively implement AI models using Azure AI SDKs
  • Familiarity with Azure AI Foundry portal and its associated tools to streamline AI app development
  • Understanding of Retrieval Augmented Generation (RAG) patterns for creating more accurate and context-aware AI applications
  • Knowledge of responsible AI principles and content filtering to ensure ethical and compliant AI deployment
  • An active Azure subscription and access to Azure OpenAI Service quotas
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Certification Exam

Everything you need to know about the AI-3016 certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Free retakes are available on-demand via Microsoft Learn; results must be processed before re-attempting the Azure AI-3016 assessment.
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Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal

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Course Curriculum

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

1
Day 1– Plan Generative AI Solutions (Custom Training)
Master Azure AI Foundry fundamentals Leverage Azure AI SDKs Initialize secure Azure AI hubs Provision scalable Azure AI projects Implement responsible AI governance frameworks Manage role-based access control Optimize local development environment setups Validate module deployment readiness
2
Day 2– Deploy Microsoft Azure AI Models (Custom Training)
Navigate Azure AI Foundry model catalog Select optimal model versioning strategies Execute model endpoint deployment processes Fine-tune critical deployment configuration parameters Benchmark model inference performance metrics Refine model inference throughput settings Modify active model deployment configurations Enforce Azure AI Content Safety filters
3
Day 3– Build Generative Chat Apps (Custom Training)
Integrate Azure AI Foundry SDKs Architect robust chat client applications Manage secure project connection strings Develop using Chat Completions API endpoints Construct intelligent Prompt Flow workflows Define schema inputs and outputs Configure advanced language model nodes Execute comprehensive Prompt Flow testing
4
Day 4– Integrate RAG for AI Apps (Custom Training)
Ground models using RAG patterns Optimize data for Azure AI Search vector indexes Develop RAG-based client application architectures Embed data into Prompt Flow Verify Azure AI Search index retrieval accuracy Enable Prompt Flow tools for automated actions Connect external systems via Prompt Flow tools Implement advanced function calling logic
5
Day 5– Evaluate Model Performance (Custom Training)
Apply expert prompt engineering techniques Fine-tune models for output consistency Prepare high-quality fine-tuning datasets Perform rigorous automated model evaluations using Prompt Flow Conduct manual model assessment procedures Compare copilot performance benchmark metrics Measure critical risk safety metrics Implement responsible AI monitoring systems

What's Included in Your Training

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

Career Outcomes

82%

of AI-3016 certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the AI-3016 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
  • AI Engineer
  • Generative AI Engineer
  • Cloud AI Solutions Architect
  • Machine Learning Engineer
  • AI Solutions Developer
  • Prompt Engineering Lead

Companies Hiring

5,000+
Microsoft Accenture Deloitte Infosys Wipro TCS Capgemini JP Morgan Chase Goldman Sachs Cognizant

and 5,000+ organizations worldwide seeking AI-3016 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.

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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 AI-3016 training course

Is the certification exam included in the Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal course fee, and what is the cost?
The certification exam for Azure AI-3016 is not included in the course fee and requires separate purchase. The Microsoft Applied Skills assessment costs $99 USD, payable via Pearson VUE or Microsoft Learn. Koenig Solutions offers optional exam vouchers as an add-on, streamlining your registration and scheduling process for this Microsoft credential.
What training formats does Koenig offer for Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal, and is scheduling guaranteed?
Koenig offers Azure AI-3016 in live instructor-led, classroom, 1-on-1, and self-paced Flexi formats, all Guaranteed-to-Run regardless of enrollment numbers. This ensures your training proceeds as scheduled without cancellation. Each format includes expert instruction, hands-on labs, and official Microsoft courseware, providing a comprehensive, flexible learning environment for your professional development.
How long is lab access provided, and what environment is used for Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal labs?
Lab access for Azure AI-3016 is provided for 6 months via Koenig’s LET Platform. We use Microsoft-hosted cloud sandboxes with real Azure subscriptions. These environments allow students to practice deploying models, configuring AI hubs, and testing generative AI apps in a production-equivalent setup without requiring any local software installations.
What is Koenig's rescheduling and cancellation policy for the Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal course?
Koenig allows one free rescheduling of the Azure AI-3016 course if requested more than 10 days before the start date. Rescheduling or cancellation within 10 days incurs a 50% fee. Written notice is required for all changes. Each enrollment can be rescheduled only once to ensure administrative accuracy and consistent scheduling integrity.
What is the format, duration, and passing criteria for the Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal exam?
The Azure AI-3016 Applied Skills assessment is a performance-based lab exam lasting 180 minutes. It features hands-on tasks across AI hub setup, model deployment, RAG implementation, and responsible AI configuration. It avoids multiple-choice questions; instead, candidates must complete real-world scenarios within the Azure AI Foundry portal to demonstrate technical proficiency.
How long is the Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal certification valid, and what is the renewal process?
The Azure AI-3016 Applied Skills credential aligns with Microsoft's role-based certification framework. While Applied Skills may not require renewal, associated certifications like Azure AI Engineer require annual renewal. This is completed via a free, unproctored online assessment on Microsoft Learn, focusing on the latest platform updates and industry best practices.
What post-training support does Koenig provide after completing the Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal course?
After completing Azure AI-3016, Koenig provides 6 months of extended lab access, full session recordings, and 30 days of post-training mentor support. Students receive a certificate of completion, practice test materials, and access to career guidance resources to support your job placement and long-term certification success in the AI field.
What are the prerequisites or prior experience needed for the Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal course?
Learners should have intermediate experience with Azure AI services, Python programming, and AI concepts like language models and Retrieval Augmented Generation (RAG). Prior completion of Microsoft Learn paths on Azure AI Fundamentals or equivalent hands-on experience is strongly recommended to fully benefit from the technical depth of the Azure AI-3016 curriculum.
What career impact and salary increase can I expect after completing the Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal course?
Professionals with Azure AI skills earn median salaries between $120,000 and $145,000 annually, with Generative AI Developers seeing up to 25% higher compensation. Completing Azure AI-3016 validates your applied skills in building generative AI apps, enhancing your employability for roles like AI Developer, Cloud AI Specialist, and Machine Learning Engineer.
How does instructor-led training for Azure AI-3016 Develop generative AI apps in Azure AI Foundry portal compare to self-study?
Instructor-led Azure AI-3016 training offers structured learning with real-time expert guidance, hands-on labs, and immediate feedback—essential for mastering complex topics like prompt engineering and RAG. Self-study lacks interactive support and live lab environments. Koenig’s guided approach increases your certification success rates by providing curated content and dedicated technical mentorship.
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