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Replaces AZ-204 New Launch

Azure AI Developer Course: AI-200 Live Online Training

Microsoft AI-200 plus the official Claude certification, in one live program

  • Microsoft retires AZ-204 on 31 July 2026 with no renewal path, and AI-200 is the credential that takes its place. Certifying early is the whole advantage
  • Build what the exam actually tests: containerized services on Container Apps and AKS, vector search across Cosmos DB, PostgreSQL and Redis, event driven messaging, and production monitoring
  • Finish with the Anthropic Claude certification track as well, so you are credentialed on the cloud enterprises run and the models they are adopting
50+ Hrs Live
Next Cohort25 Oct 2026
Duration8 Weeks
TimingSat–Sun, 8:00–11:00 PM IST
FormatLive Online

Built For

Who This Azure AI Developer Course Is For

AI-200 is the developer credential for the people who build and run the services behind AI products. Tap any card below to see why it fits you.

Azure developers holding or studying AZ-204

Tap to learn more

AZ-204 retires on 31 July 2026 and cannot be renewed after that. Roughly two thirds of what you know carries straight over. This program covers the rest, which is the vector and AI service work worth learning anyway.

Backend and full stack engineers moving into AI

Tap to learn more

Your systems instincts are most of the job. You add embeddings, vector stores, retrieval and the AI service surface, then wire them into containerized services that scale and stay observable.

Data and platform engineers who want the app layer

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You already own pipelines and storage. Here you learn how AI applications consume them: vector similarity search in Cosmos DB, pgvector and Redis, plus the messaging patterns that keep it all asynchronous.

Developers who want Microsoft and Anthropic credentials

Tap to learn more

Enterprises run on Azure and are adopting Claude fast. Holding a current credential on both sides is rare, defensible and exactly what hiring managers are screening for in 2026.

Certification & Partnerships

Dual certification prep, Microsoft and Anthropic

Modules 1 to 7 follow the published AI-200 skills outline in blueprint proportion, and Module 8 prepares you for the official Claude certification. Every module is delivered live by certified trainers. The logos below are the platforms and exams it covers.

Anthropic

Claude Certified Architect – Foundations (CCA-F)

Anthropic's official, proctored credential at the architecture level. It validates your ability to design and ship production ready Claude applications, covering agentic architecture, MCP integration, Claude Code workflows and context reliability.

Agentic Architecture MCP Integration Claude Code Structured Output
Microsoft

AI-103 — Azure AI Apps & Agents Developer Associate

Validates your ability to plan, build and deploy generative AI and agentic solutions on Azure using Microsoft Foundry, including grounding, tool integration and responsible AI practices.

Azure AI Foundry Agentic Solutions Grounding & RAG Responsible AI

Certification exams are administered independently by Anthropic and Microsoft and are not included in program tuition.

Platforms & exams covered

Claude Anthropic Microsoft OpenAI Google Cloud AWS NVIDIA CompTIA Atlassian
60+
Hours of Live Training
2
Certifications Prepped, AI-200 and Claude
5
Applications You Ship
3
Vector Stores You Build On
1:1
Dedicated Mentor Support
∞
Lifetime Access to Sessions

Curriculum

Azure AI Developer Course Syllabus, Module by Module

Eight modules taught live across 8 weekends. The four AI-200 domains carry unusually flat weighting, with none below 20 percent, so the schedule gives each of them real class time instead of front loading the easy material. Python is the working language throughout, exactly as the exam assumes.

1Azure Developer Foundations for AI SolutionsModule 1

Every scenario question on this exam starts with a business requirement and ends with a service choice. Module 1 builds the vocabulary and the working environment you will use for the next seven weekends.

  • Python for Azure developers: async patterns, typing, project structure
  • Azure SDK conventions, clients, credentials and retry behaviour
  • Managed identity and Entra ID over connection strings and keys
  • Resource groups, App Configuration and environment promotion
  • Working in VS Code and the Azure CLI the way the exam assumes
  • Hands on: scaffold and deploy your first Azure AI service call
AI-200: solution lifecycleDeliverable: Working Azure development environment
2Containerized Solutions: ACR, App Service, Container Apps and AKSModule 2

This is the domain most candidates underestimate. It is pure implementation and it rewards hands on repetition.

  • Azure Container Registry, image management and ACR Tasks for cloud builds
  • Deploying containers to App Service with environment variables and secrets
  • Azure Container Apps: environments, ingress, revisions and traffic splitting
  • Event driven scaling with KEDA in Container Apps
  • Deploying to Azure Kubernetes Service using manifest files
  • Monitoring and troubleshooting AKS and Container Apps through logs and events
  • Hands on: ship the same AI service to Container Apps and to AKS, then compare
AI-200: containerized solutionsDeliverable: Containerized AI service running on two platforms
3Data for AI Applications: Cosmos DB, PostgreSQL and RedisModule 3

The exam does not ask which database is best. It gives you a constraint and asks which one satisfies it, which is why we teach the trade offs rather than the feature lists.

  • Cosmos DB for NoSQL: SDK access, queries, partitioning and the change feed
  • Azure Database for PostgreSQL with pgvector for relational plus vector workloads
  • Azure Managed Redis for caching, session state and low latency lookups
  • Choosing between them: change feed ingestion, relational joins, latency and cost
  • Consistency, throughput and the failure modes that show up in production
  • Hands on: the same dataset modelled three ways, measured side by side
AI-200: data managementDeliverable: Comparative data layer with benchmarks
4Vectors, Embeddings and RetrievalModule 4

Vector work is the part of AI-200 that did not exist in AZ-204, and it is the part hiring managers care about most.

  • How embeddings work and how to choose an embedding model
  • Chunking strategies that decide whether retrieval succeeds or fails
  • Vector similarity search across Cosmos DB, pgvector and Redis
  • Azure AI Search: indexes, vectorization and hybrid retrieval
  • Grounding a model on your own content with citations and freshness handling
  • Measuring retrieval quality instead of guessing at it
  • Hands on: a grounded assistant over a real document corpus
AI-200: vector databasesDeliverable: Production shaped retrieval service
Milestone 1MICROSOFT

Halfway point: your containerized, vector backed service is live

5Azure AI Services Inside Real ApplicationsModule 5

AI-200 leans on back end services rather than model theory. This module covers the AI surface you are expected to integrate and operate.

  • Azure AI Foundry: model catalog, deployments and SDK access
  • Language and speech: extraction, summarization, translation and transcription
  • Vision and Document Intelligence for images, forms and invoices
  • Function calling and structured output for reliable application behaviour
  • Content safety filters and responsible AI controls in the request path
  • Hands on: a document processing service with human review for low confidence results
AI-200: AI service integrationDeliverable: Document processing service
6Messaging and Eventing: Asynchronous by DesignModule 6

AI calls are slow, rate limited and occasionally fail. The exam tests whether you know how to build around that reality.

  • Azure Service Bus queues and topics for reliable work distribution
  • Event Grid and Event Hubs for event driven and high throughput streams
  • Azure Functions and Durable Functions for orchestration and long running work
  • Retries, dead lettering, idempotency and exactly once thinking
  • Backpressure and throttling when the model provider is the bottleneck
  • Hands on: an event driven pipeline that survives failure and replays cleanly
AI-200: messaging and eventingDeliverable: Resilient event driven pipeline
7Security, Monitoring, Troubleshooting and Exam SprintModule 7

The final domain is where scenario questions get decided, and it is also what separates a demo from a system somebody trusts in production.

  • Key Vault, managed identity, private endpoints and secret rotation
  • Application Insights, distributed tracing and OpenTelemetry instrumentation
  • Quotas, throttling, token cost tracking and capacity planning
  • Diagnosing the common failures: cold starts, timeouts, poisoned messages
  • Full AI-200 skills outline reviewed in blueprint proportion
  • A full length domain scored mock exam plus a score report review
Exam MilestoneDeliverable: Hardened service and AI-200 readiness report
Milestone 2CLAUDE

Redeem your Claude certification badge

8Claude Certification Track and CapstoneModule 8

The Anthropic side of the program. You rebuild part of your Azure work on Claude, which is the fastest way to understand where each platform actually wins.

  • Claude platform mastery: models, Projects, artifacts and tool use
  • Building with the Claude API and with Claude Code
  • Prompt caching, batching and cost control at production volume
  • Anthropic certification preparation with practice questions and a mock
  • Capstone: one product shipped on Azure and rebuilt on Claude, with a written comparison
  • Portfolio write up and a mock interview defending your architecture choices
Anthropic TrackDeliverable: Claude certification readiness and cross platform capstone

Portfolio

5 applications you actually ship

Each project, drawn as the system you build: the real tools, and the data moving through them. Scroll; they animate.

01

Containerized AI Service on Two Platforms

One image, built with ACR Tasks, deployed two ways — Container Apps and AKS — so you can argue the trade-off from experience.

Swipe →
You shipACR build pipelineContainer Apps deployAKS manifestsTrade-off write-up
02

Three Way Vector Store Benchmark

The same corpus in Cosmos DB, Postgres with pgvector and Managed Redis, measured on latency, recall and cost.

Swipe →
You shipBenchmark harnessThree indexesResults tableRecommendation memo
03

Grounded Enterprise Assistant

Hybrid search over a real document set, citations, freshness handling, and an eval that scores groundedness instead of assuming it.

Swipe →
You shipIndex + freshness jobHybrid search configCitation UIGroundedness eval set
04

Event Driven Document Processing Pipeline

Service Bus and Event Grid feeding Document Intelligence, with retries, dead-lettering, idempotent handlers and a human review queue.

Swipe →
You shipService Bus topologyIdempotent handlersReview queue UIRunbook
05

Cross Platform Capstone on Azure and Claude

Your capstone shipped on Azure AI Foundry and rebuilt on the Claude API, instrumented and cost-tracked on both sides.

Swipe →
You shipFoundry buildClaude buildCost & latency tableComparison write-up

Skills Covered

Python for Cloud DevelopmentAzure SDK and Managed IdentityContainerization and Image BuildsContainer Apps and RevisionsKubernetes DeploymentEvent Driven Autoscaling with KEDACosmos DB Data Modellingpgvector and Relational VectorsRedis Caching and Vector SearchEmbeddings and ChunkingHybrid RetrievalRetrieval EvaluationFunction CallingDocument IntelligenceSpeech and Language IntegrationService Bus and Event GridDurable OrchestrationIdempotency and Dead LetteringKey Vault and Secret RotationDistributed Tracing and OpenTelemetryQuota, Throttling and Cost ControlContent Safety and Responsible AIClaude API and Claude CodeCross Platform AI Architecture

Tools & Frameworks Covered

Azure AI FoundryAzure AI FoundryAzure AI SearchAzure AI SearchAzure Container AppsAzure Container AppsAzure Container RegistryAzure Container RegistryAzure Kubernetes ServiceAzure Kubernetes ServiceDockerDockerAzure FunctionsAzure FunctionsDurable FunctionsDurable FunctionsAzure Service BusAzure Service BusEvent GridEvent GridEvent HubsEvent HubsCosmos DBCosmos DBPostgreSQL and pgvectorPostgreSQL and pgvectorAzure Managed RedisAzure Managed RedisAzure Key VaultAzure Key VaultApplication InsightsApplication InsightsOpenTelemetryOpenTelemetryEntra IDEntra IDPythonPythonFastAPIFastAPIGitHub ActionsGitHub ActionsGPT and Foundry ModelsGPT and Foundry ModelsClaude APIClaude APIClaude CodeClaude Code

Program Creators

Your Azure AI Developer Course Instructors

Six working trainers run this program live. Hover any card for their full background.

Naga Nandhini

Naga Nandhini

Certified Trainer

Java Full Stack Corporate Trainer and Enterprise Solutions Expert

More about Naga

Powerhouse corporate trainer with 10+ years of upskilling engineers at HCL, Accenture, Cybage, Mobileum and Renault. An award-winning engineer who helped build the RAPTOR and KIKO platforms for an American Airlines client, she brings real enterprise delivery into every session.

Praveen Kumar

Praveen Kumar

Certified Trainer

Full Stack and GenAI Corporate Trainer, Ex-TCS Team Lead

More about Praveen

Full stack lead and GenAI builder with 10+ years of training behind 50+ corporate batches for TCS, HCL, Perficient, Renault Nissan and Saint-Gobain. He ships real RAG and local-LLM systems with Ollama, FastAPI and Spring Boot, then teaches exactly how they work.

Johan

Johan

Certified Trainer

D365 Customer Service Lead, Power Platform School Founder

More about Johan

D365 Customer Service Lead – Europe at Avanade, and founder of the Power Platform School. A Microsoft Business Applications MVP and Microsoft Certified Trainer based in London, specializing in Dynamics 365 Customer Service and Power Platform.

Akim Nyamande

Akim Nyamande

Certified Trainer

Microsoft, CompTIA, Juniper and Cisco Certified Trainer.

More about Akim

IT training facilitator with over five years of experience and certifications across Microsoft, CompTIA, Juniper, and Cisco. Previously a Network Administrator before moving into technical training, now delivering hands-on courses in networking, systems administration, and cybersecurity fundamentals.

Ali El Khatib

Ali El Khatib

Certified Trainer

Cisco Certified Systems Instructor (CCSI), Microsoft Certified Trainer

More about Ali

Infrastructure Engineer at RHUH with 13 years in the training field, holding CCSI, MCSE, CCNP Routing and Switching, CCNP Security, CompTIA and Microsoft Azure certifications.

Arshad Ahmad

Arshad Ahmad

Certified Trainer

Microsoft Certified Trainer (MCT), Cybersecurity & Power Platform Expert

More about Arshad

Technology Trainer with 15 years in strategic client delivery, holding MCT, Azure Solutions Architect Expert, Cybersecurity Architect Expert and Power BI Data Analyst credentials, with 200+ trainings delivered.

Florian Garcia Compte

Florian Garcia Compte

Certified Trainer

Cisco Certified Systems Instructor (CCSI)

More about Florian

Partner Director at AVAANZA FORMACION, a Cisco Learning Partner based in Madrid. Certified Cisco Systems Instructor (CCSI No. 21053) specializing in Cisco Data Center (ACI/SDN), Nexus, and Wireless, delivering official Cisco certification courses including CCNA, CCNP Enterprise, and CCNP Data Center.

Shantanu Pandey

Shantanu Pandey

Certified Trainer

Microsoft, Google, NVIDIA and HPE Certified Trainer

More about Shantanu

Director of Engineering at Meteoros Automation, ranked in Microsoft's Top 100 Trainers of 2025, holding MCT, Google Cloud, NVIDIA and PeopleCert credentials, with 500+ trainings delivered since 2011.

Sid

Sid

Certified Trainer

Microsoft Certified Trainer since 2016 and Azure Data Engineer

More about Sid

Dynamic corporate trainer and consultant with more than 10 years of experience across Microsoft Fabric, Azure Data Engineering, and modern cloud platforms. Focused on clear, practical learning that sticks.

Sravia

Sravia

Certified Trainer

NVIDIA Authorized Instructor and AI Data Specialist

More about Sravia

Passionate AI and data evangelist with over 10 years of experience across machine learning, MLOps, and cloud native technologies. Dedicated to delivering impactful, engaging enterprise training programs.

Vikas Mittal

Vikas Mittal

Certified Trainer

AI instructor with 25+ years in technology training

More about Vikas

Veteran technology trainer with more than 25 years of rich industry experience spanning Google, Microsoft, and emerging AI platforms. An exceptional mentor recognized for proven teaching excellence.

Bipeen

Bipeen

Certified Trainer

AWS, Microsoft, and Anthropic Certified Trainer

More about Bipeen

AI, machine learning, and cloud transformation expert with more than 25 years of experience. A renowned global corporate trainer and conference speaker known for practical, outcome driven sessions.

Learner & client voices

What people trained by our instructors say

I had the opportunity to be trained by Vikas on a 4-day Google Professional Data Engineer course — a genuinely useful experience. His expertise in Data Science and Machine Learning shows in how he delivers the training, and it played a huge role in my clearing the certification exam on the first attempt.

Archana Bhalla

Archana Bhalla

Data Science & Big Data Engineer, Atos

One of the best trainings I have ever attended in my life. The instructor gave an in-depth knowledge of Machine Learning and its use cases in the financial industry.

Ashish Kulshrestha

Ashish Kulshrestha

Managing Director, American Express

Vikas was invited to be a GCP data engineering instructor at a 4-day Google Developer Machine Learning Bootcamp in Bangkok, sponsored by Google. He simplified tough topics with concrete examples, making difficult material easy and fast to understand. Good instructor — thanks for the dedication.

Ekawut Suwanicho

Ekawut Suwanicho

Data & ML Solution Engineer, Tangerine Co. Ltd.

From corporate and bootcamp training led by our instructors. More on Success Stories.

Your Certificate

This is what lands in your inbox on day one of the job hunt

A verifiable, portfolio-ready certificate that signals real, project-tested skill, not just seat time.

  • Your name, program and completion date, ready to add to LinkedIn
  • Backed by 60+ hours of active learning and real projects you shipped
  • Independent of, and in addition to, your Claude CCA-F and AI-103 credentials
Enroll & Earn Yours
Sample Certificate Sample 360DT program completion certificate

Fees & Batch

Azure AI Developer Course Fees and Next Batch Dates

Live Online · Weekend Batch

AI Cloud Developer Program (AI-200 + CCFA)

Start Date25 Oct 2026
Duration8 Weeks
TimingSat–Sun, 8:00–11:00 PM IST
Enrolment closesSat 24 Oct
₹24,999

EMI options available · Corporate/team batches, contact us

Enroll Now

Put it in perspective: the recorded AI-200 courses on the market sell a video library and a practice test for a similar price. This is 60 plus hours of live mentor led class time, five shipped applications in your own subscription, a full length domain scored mock, and an Anthropic Claude certification track that nobody else bundles.

Optional add-ons

The course is complete on its own. Add one only if it fills a gap. Nothing is pre-selected.

Cloud & Deployment

Docker & Kubernetes Basics+₹5,000

AI-Specific Add-Ons

Prompt Engineering Masterclass+₹5,000

Career & Soft Skills

Resume & LinkedIn Optimization for AI Roles+₹5,000
Mock Interview / Technical Interview Prep+₹5,000
Portfolio Building Workshop+₹5,000
0 add-ons selected

Add-ons are added to your enrollment automatically when you click Enroll Now below.

Where This Takes You

Jobs and Career Paths After This Azure AI Developer Course

AZ-204 was the most widely held Azure developer credential in the market and it disappears in July 2026. Everyone who held it needs a replacement, and the ones who move first set the rate.

1

Azure AI Cloud Developer 🔥 Replaces AZ-204

The direct successor role to Azure Developer Associate, rebuilt around AI workloads.

Build and operate the back end services behind AI products: containers, vector stores, event driven pipelines and the monitoring that keeps them honest.

2

AI Application Engineer ⚡ Fastest Growing

The engineer who turns a model into a product feature customers rely on.

Own retrieval quality, structured output, safety gates and cost per request across the full request path.

3

Platform Engineer for AI Workloads

Where container skills and AI infrastructure meet.

Run the Container Apps and AKS estate the AI teams deploy onto, with scaling, quotas, observability and cost governance as your remit.

4

Solutions Engineer, AI Products

Client facing, and paid accordingly.

Scope and build AI systems inside customer environments, which is exactly the ground our Forward Deployed Engineer program takes further.

5

Next credentials: AI-103 and AI-300

The rest of the 2026 Microsoft AI ladder.

AI-103 goes deeper on agents, AI-300 covers MLOps and GenAIOps. AI-200 is the broad base both of them build on.

Placement Support · Included

Finish this course, then get introduced to the companies hiring for it.

A named mentor, recorded mock interviews, a résumé rebuilt around your projects, and warm introductions to our placement partners Arusto AI, Meteoros, Confluent and Accenture. Included with your seat, for 6 months after the course.

Each partner interviews and hires directly; an introduction is not a job offer. What career support covers.

Next AI Cloud Developer cohort starts 25 Oct 2026

Live, online, Saturday–Sunday · Enrolment closes Sat 24 Oct ·AZ-204 retires in July 2026, so certify on its successor first.

Join the 25 Oct batch

FAQ

Azure AI Developer Course FAQs

What exactly is AI-200 and why does it matter now?

AI-200, Developing AI Cloud Solutions on Azure, earns the Microsoft Certified: Azure AI Cloud Developer Associate credential. It is the replacement for AZ-204, which Microsoft retires on 31 July 2026 along with its renewal assessments. Anyone holding AZ-204 needs a new credential, and AI-200 is it.

How is AI-200 different from AI-103?

AI-103 goes deep on building AI apps and agents on Azure AI Foundry. AI-200 is broader and more back end: containers, data and vector stores, messaging, security and monitoring across the whole solution lifecycle. Choose AI-200 for platform range, AI-103 for agent depth. We run both programs, so we will help you pick.

How much of my AZ-204 knowledge carries over?

Roughly two thirds. Containers, messaging, security and monitoring all remain, and the genuinely new material is the vector database and AI service work, which is the part worth learning regardless of the exam.

Do I need to be strong in Python?

Python is the assumed language on this exam, so we teach the patterns you need in Module 1 and use them all the way through. Working experience in any language is enough to start.

What is the Claude certification track?

A dedicated module preparing you for the official Anthropic Claude certification, covering the platform, the Claude API and Claude Code, with practice questions and a cross platform capstone. Exam registration is done with Anthropic separately, as are Microsoft exam vouchers.

What if I miss a class?

Every session is recorded and you keep lifetime access, plus the option to re attend any future batch at no extra cost.

When does the next batch start, and when does enrolment close?

The next live batch starts Sun 25 Oct, and enrolment closes Sat 24 Oct. Classes run live on Saturday and Sunday, 8–11 PM IST.

Can I pay in instalments?

Yes. Cards, UPI, net banking and EMI options are available at checkout; tenure and cost depend on your card.

Can my company pay, and will I get a GST invoice?

Yes. Add your company's GSTIN in the cart before checkout so it appears on your invoice. For a team batch, talk to our corporate team.

Can I move to a later batch?

One free batch transfer is allowed, up to 5 days before your batch starts and subject to seats in the new batch.

Can I get a refund?

Every enrolment includes lifetime access to the recordings and materials from day one, so all enrolments are final. If you are unsure, book a free demo first, or use the one free batch transfer.

What happens right after I enrol?

You get a confirmation email with your LMS login and batch schedule. Class links, recordings and materials are all in your learner dashboard.

Do I get a certificate from 360DT?

Yes. Learners who meet the attendance and project criteria get a 360DT completion certificate they can share on LinkedIn. It is separate from the official exam certification.

Is the certification exam fee included?

No. The exam fee is paid directly to the exam provider when you book the exam. Your course fee covers the live classes, projects and exam preparation.

Is there a job guarantee?

No program can honestly guarantee placement, and we don't promise one. You get résumé review, mock interviews and career support for 6 months after the course. See career support.

Can I talk to someone before I enrol?

Yes. Book a free demo or call +91 70914 64529, and an advisor will walk you through the syllabus and help you pick the right course.

Ready to enrol in Azure AI Cloud Developer Course: AI-200 + Claude CCAR-F? Dates, seats and fees are on the enrolment page — enrolment is open now.
View dates & enrol →
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