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AI & LLMOps Mastery with Azure Intermediate

The AI & LLMOps Mastery with Azure course equips data scientists, machine learning engineers, and DevOps professionals with skills to deploy, monitor, and optimize generative AI and machine learning systems on Azure—solving the critical industry challenge of unreliable AI model performance in production. With 87% of enterprises adopting AI, this Open Source training delivers hands-on expertise in MLOps, GenAIOps, Azure Machine Learning, and Retrieval Augmented Generation (RAG), aligning directly with Microsoft’s AI-300 exam objectives.

This course prepares learners for the Microsoft Certified: Machine Learning Operations Engineer Associate certification, featuring official vendor-authorized courseware and 30-day lab access for real-world practice. Graduates gain the expertise to build scalable, secure AI pipelines, driving measurable advancements in cloud AI operations and qualifying for roles with average salaries exceeding $145,000.

32 Hours (4 Days)
Live Online / Classroom
0+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,800
Dedicated instructor, your schedule Fastest
Public Batch USD 1,400
Group class, fixed schedule Most Popular
Self-Paced On Request
Recorded sessions, learn anytime Best Value

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Course Overview

The Open Source AI & LLMOps Mastery with Azure course provides essential AZ-104 training for professionals looking to bridge the gap between foundational Azure Administrator skills and advanced AI deployment. This program equips engineers with skills in deploying and managing Large Language Models on Microsoft Azure. Designed for infrastructure specialists, this course aligns with the demand for LLMOps expertise. Participants prepare for the Microsoft Certified: Azure AI Engineer Associate certification, gaining a competitive edge. The curriculum enables students to leverage their existing cloud knowledge to build production-grade AI systems, ensuring models are secure, scalable, and continuously monitored.

This hands-on course leverages key Azure services including Azure Machine Learning, Azure AI Search, GitHub Actions, and Prompt flow for workflow automation. Students work directly in the Azure Portal and Azure AI Studio to build end-to-end LLMOps pipelines. A core lab component involves creating a Retrieval-Augmented Generation agent that pulls data from documents using Azure AI Search as a vector database. Learners also configure model evaluation workflows, implement content safety checks, and deploy fine-tuned Small Language Models like Phi-3 as scalable APIs, ensuring models are production-ready and efficient.

By completing the AI & LLMOps Mastery with Azure program, participants are fully prepared for the Microsoft Certified: Azure AI Engineer Associate exam, a credential recognized by leading cloud and AI employers globally. Certified professionals report high salary potential in generative AI and cloud architecture roles. Open Source enhances this journey with training that ensures learners gain access to expert-led, 1-on-1 mentoring. Graduates emerge ready to lead AI operations in enterprise environments, driving innovation through scalable, ethical, and efficient AI deployment on Azure while utilizing their foundational AZ-104 expertise.

What You'll Learn

Configure Azure AI infrastructure for LLMOps to streamline large language model deployment and management, ensuring scalable and reliable AI solutions. Implement MLOps with Azure Machine Learning to automate model training, versioning, and deployment, reducing time-to-market and operational costs. Deploy generative AI applications using Azure OpenAI to create innovative, high-quality AI-driven products that meet business needs. Monitor LLM performance with Azure AI Studio to optimize accuracy, response times, and user satisfaction through real-time analytics. Secure LLM solutions using Azure Content Safety to protect data privacy and prevent misuse, building user trust and compliance. Automate LLMOps workflows with GitHub Actions and Bicep to accelerate deployment cycles, improve consistency, and reduce manual errors, enabling rapid innovation with confidence. This course, 'AI & LLMOps Mastery with Azure' by Open Source, equips learners with essential skills to harness Azure’s AI tools for scalable, secure, and high-performing AI solutions. Over 500 professionals have completed this training since 2022, gaining expertise in cutting-edge AI operations.

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of Azure CLI (az) for managing Azure resources, essential for mastering AI & LLMOps with Azure in the Open Source 'AI & LLMOps Mastery with Azure' course
  • Experience with Azure Developer CLI (azd) for deployment automation helps learners efficiently implement AI solutions using Azure in the Open Source program
  • Proficiency in Git and GitHub CLI (gh) for version control and repository management ensures smooth collaboration during AI & LLMOps projects in Azure, as covered in the Open Source course
  • Hands-on experience with Azure virtual networking (VNets, subnets, NSGs) and identity management (Azure AD, service principals) is crucial for deploying secure AI models on Azure cloud, as taught in 'AI & LLMOps Mastery with Azure'
  • Understanding infrastructure-as-code principles using Bicep or similar tools is vital for automating AI deployment pipelines in Azure, a core part of the Open Source training
  • Programming experience in Python 3.9+ for scripting and agent development enables effective customization and automation in AI & LLMOps workflows on Azure, as emphasized in the Open Source course
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Certification Exam

Everything you need to know about the AI & LLMOps Mastery with Azure certification exam

Exam Details
Exam Name
AI & LLMOps Mastery with Azure
Exam Cost
Not applicable
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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Course Curriculum

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

1
Day 1– Mastering AI & LLMOps Mastery with Azure Fundamentals
Core LLM concepts and GPT models Applying Open Source LLMOps principles Azure AI Services platform overview Azure OpenAI Service technical fundamentals Navigating Azure AI Studio interface Introduction to Azure AI PromptFlow Azure Content Safety framework basics Responsible AI practices for LLMs
2
Day 2– Architecting LLM Orchestration with Azure
Advanced LLM app orchestration patterns Building Prompt Flow standard workflows Implementing Prompt Flow chat interactions Designing effective prompt templates Integrating external data source flows Testing LLM responses in PromptFlow Debugging complex orchestration logic Optimizing flow execution performance
3
Day 3– Evaluating and Deploying LLM Solutions
Prompt flow evaluation methodology Measuring output groundedness metrics Assessing response relevance and coherence Evaluating linguistic fluency and similarity Deploying scalable LLM production flows Configuring secure Azure model endpoints Scaling enterprise LLM deployment architectures Managing robust deployment versioning
4
Day 4– Monitoring and Responsible AI Governance
Monitoring LLM orchestration flow health Tracking critical generated content metrics Analyzing real-time operational performance Implementing Azure content safety filters Detecting and mitigating harmful content Logging and auditing LLM interactions Configuring alerts for system anomalies Ensuring strict AI policy compliance
5
Day 5– Automating LLMOps Workflows at Scale
Integrating GitHub for source control Creating automated GitHub Actions workflows Automating rigorous evaluation pipelines CI/CD pipelines for LLM applications Infrastructure as Code using Bicep Automating secure deployment rollbacks Testing in isolated staging environments End-to-end automation deployment strategies

What's Included in Your Training

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

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

82%

of AI & LLMOps Mastery with Azure certified professionals report career advancement within 6 months

Salary Impact

+30%

Average salary increase reported after obtaining the AI & LLMOps Mastery with Azure 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
  • LLMOps Engineer
  • Azure AI Specialist
  • MLOps Engineer
  • Generative AI Developer
  • Cloud AI Architect

Companies Hiring

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

and 5,000+ organizations worldwide seeking AI & LLMOps Mastery with Azure certified professionals

Meet Your Instructor

👤
Nishant Harshwardhan
10+
Years Exp.
5,000+
Students
4.9
Avg Rating

Total Experience: 5+ years


Associated with Koenig since JAN 2016


Domain: Web & Mobile Technology | Security


Key Competencies: Front-end and Back-end Web Development


 

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 AI & LLMOps Mastery with Azure training course

Is the certification exam included in the course fee for AI & LLMOps Mastery with Azure?
The certification exam is not included in the AI & LLMOps Mastery with Azure course fee; you must purchase the voucher separately. The DP-100 exam costs $165 USD via Microsoft and is proctored by Pearson VUE. Koenig Solutions offers this voucher as an optional add-on, allowing you to schedule your test immediately after training.
What training formats are available for AI & LLMOps Mastery with Azure, and is Guaranteed-to-Run scheduling offered?
Koenig Solutions offers AI & LLMOps Mastery with Azure in live online 1-on-1, public instructor-led, and self-paced Flexi formats. All live sessions are Guaranteed-to-Run, ensuring your training proceeds even with a single participant. You gain access to our expert-led LET platform, with private classroom options available upon request for your team.
How long is lab access provided, and what environment is used for AI & LLMOps Mastery with Azure?
You receive 30 days of post-training lab access for AI & LLMOps Mastery with Azure. Our environment utilizes cloud-based Azure sandboxes featuring Azure Machine Learning, Azure AI Studio, GitHub Actions, and Prompt Flow. These browser-based labs require no local setup, providing a secure, vendor-aligned infrastructure for your hands-on practice.
What is Koenig Solutions' rescheduling and cancellation policy for this course?
Koenig permits free rescheduling of AI & LLMOps Mastery with Azure with at least 7 days' notice; changes within 7 days incur a $50 fee. Cancellations within 10 days of the start date incur a 50% charge. Per our Terms of Service, the same training session cannot be rescheduled more than once.
What is the format, number of questions, passing score, and time limit for the DP-100 certification exam?
The DP-100 exam features 40–60 questions, including MCQs and case studies, with a 120-minute limit and a 700/1000 passing score. Proctored online or at centers, it validates your expertise in MLOps infrastructure, GenAIOps, model lifecycles, and observability. You will face scenario-based questions that mirror real-world AI operations on the Azure cloud platform.
How long is the Microsoft Certified: Azure Data Scientist Associate certification valid, and what is the renewal process?
This certification is valid for one year. You must renew it annually via a free, unproctored assessment on Microsoft Learn, which becomes available six months before your certification expires. The renewal process focuses on the latest updates to Azure AI and allows for unlimited retakes, ensuring your skills remain current and production-ready for your enterprise career.
What post-training support does Koenig provide after completing AI & LLMOps Mastery with Azure?
Koenig supports your success with 30 days of instructor email access, class recordings, and extended labs. You also receive 200+ practice questions for AI & LLMOps Mastery with Azure exam prep. Upon completion, you earn a certificate and may request career mentorship to help you transition into high-level MLOps engineering roles.
What are the prerequisites or prior experience needed for the AI & LLMOps Mastery with Azure course?
To succeed in AI & LLMOps Mastery with Azure, you need Python proficiency, foundational machine learning knowledge, and DevOps experience with CI/CD and source control. Prior Azure exposure is recommended, as the curriculum focuses on deploying advanced MLOps and GenAIOps workflows using Azure Machine Learning and Azure AI Studio tools.
What salary increase or career impact can professionals expect after earning the AI & LLMOps Mastery with Azure certification?
Certified professionals typically earn $140,000–$178,000 annually, enjoying a 10–15% salary premium over non-certified peers. Earning the AI & LLMOps Mastery with Azure credential validates your ability to manage GenAIOps and MLOps platforms. This expertise is highly sought after by enterprise employers looking to scale secure, reliable AI systems.
How does instructor-led training for AI & LLMOps Mastery with Azure compare to self-study in terms of exam success and skill mastery?
Instructor-led training for AI & LLMOps Mastery with Azure outperforms self-study by providing structured mentorship and real-time feedback. Koenig’s Guaranteed-to-Run batches ensure you master complex GenAIOps workflows through live labs and case studies. This guided approach builds deeper technical proficiency and significantly higher exam pass rates than using documentation alone.
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