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Designing and Implementing a Microsoft Azure AI Solution

Standardize your team on Designing and Implementing a Microsoft Azure AI Solution with a structured Microsoft training path — team admin reporting included on every CBT Nuggets Teams seat.

1
Course
10
Core skills
$165
Exam fee (Microsoft)
Microsoft Azure / 365 admin team at workstations with PowerShell and identity consoles
Difficulty
Difficulty: 3 of 5 (Moderate)
Moderate
Exam fee (Microsoft)
$165
Courses on path
1
Exam code
  • AI-103

Exam datasheet

Prerequisites
No official preprequisites
Recommended experience
Experience developing apps by using Python, and familiarity with the capabilities of general AI, generative AI, and Azure services.
Recertification
1 year

Exams

Exams for this certification

Exam fees per engineer, paid to the exam vendor$165

Required — Required

Every engineer on the Designing and Implementing a Microsoft Azure AI Solution path takes AI-103.

  1. AI-103Developing AI Apps and Agents on Azure (AI-103)
    Exam fee
    $165
    Exam length
    120 minutes
    Questions
    40-60
    Passing score
    700/1000

    Exam blueprint: AI-103

Skills your team builds

Azure AI Solution DesignMicrosoft Foundry PlatformAI Workload GovernanceAI Infrastructure AutomationGenerative App DevelopmentAgent Building and OrchestrationRetrieval and Grounding PipelinesRAG and Tool-Augmented FlowsGeneration Quality EvaluationMultimodal and Speech AI

Every certification course includes

  • Expert-led video training
  • Per-team completion reporting

Microsoft career ladder

Where Designing and Implementing a Microsoft Azure AI Solution sits in your team's Microsoft progression

The cert your team is on now, plus the levels above and below. Use this to map an engineer's next-step credential or to plan headcount coverage across tiers.

Customer outcome

Build AI-103 capability across the whole team, not one engineer

Assign the Designing and Implementing a Microsoft Azure AI Solution course to the engineers who need it, and the team report shows who has started, who has finished — the view leadership uses to see Microsoft skills coverage across the team and where the gaps are.

Team capability

Make AI-103 a number on your team capability sheet, not a single engineer’s certificate.

Standardizing your team on AI-103 gives leadership a clear picture of Microsoft skills coverage — who has completed the training, who is still on the path, and where the gaps are — so staffing and escalation plans rest on known capability instead of on one engineer.

Credential: Designing and Implementing a Microsoft Azure AI Solution

Exam
  • AI-103

Frequently asked questions about Designing and Implementing a Microsoft Azure AI Solution training

Common questions IT directors ask when evaluating Designing and Implementing a Microsoft Azure AI Solution training for their team.

How does AI-103 fit into our internal compliance and governance program?

Teams often cite AI-103 when documenting training coverage for the engineers who build and operate AI workloads, and the linked course includes a lesson on securing, governing, and monitoring those workloads. CBT Nuggets team reporting provides per-learner progress, completion, and completion exports that can support audit evidence. The auditor's control crosswalk decides how the certification maps to any formal framework.

Who on the team should hold AI-103, and what can a certified team own?

It suits the Azure developers and engineers who build AI apps and agents, along with the cloud engineers who provision and automate their infrastructure. A certified team can own Foundry-based generative apps, retrieval and RAG pipelines, document and content extraction, single and multi-agent solutions with observability, and speech, vision, and multimodal features. The team can also take responsibility for evaluating generation quality and for securing and monitoring AI workloads.

What does CBT Nuggets Designing and Implementing a Microsoft Azure AI Solution training include for a team?

CBT Nuggets Designing and Implementing a Microsoft Azure AI Solution courses are built by named expert trainers. Where a course includes hands-on virtual labs or a practice exam mapped to Microsoft's published exam objectives, the course list on this page says so. Team admin reporting tracks assignment, completion and exam readiness per engineer — the view managers use to run a team training program.

How do I assign and track Designing and Implementing a Microsoft Azure AI Solution training for my team?

From the admin console, managers assign the Designing and Implementing a Microsoft Azure AI Solution courses directly to specific engineers or role groups and track completion and practice-exam scores per learner. Team-wide reporting rolls up to a single dashboard you can review or export for leadership reviews or compliance reporting.

How long does it take to certify a team on AI-103?

The linked live courses total about 12 hours of video, which sets the training baseline for each engineer. Overall time to certify depends on the team's starting point, including existing Azure development experience and how much time each engineer can give the training, and team reporting shows who has completed the assigned courses.

What if Microsoft updates the Designing and Implementing a Microsoft Azure AI Solution exam objectives?

CBT Nuggets updates Microsoft course content as exam objectives refresh, and this page shows the current exam's status and any retirement date the vendor has announced. When Microsoft restructures or renames a track, the assigned training stays aligned with the same team training plan, and the training stays current without anyone losing their progress mid-stream.

Ready to Designing and Implementing a Microsoft Azure AI Solution-certify your team?

Build Designing and Implementing a Microsoft Azure AI Solution capability across your team

See how CBT Nuggets helps IT leaders plan and track Designing and Implementing a Microsoft Azure AI Solution training across the team — reporting included.