Microsoft Azure AI-900 Essentials: From Basics to Certification

What You'll Learn?

Azure Cloud & Azure AI Ecosystem

• Azure Cloud market, regions, future
• Azure AI Foundry, Azure Machine Learning, Azure AI Services
• Identity & security: Entra ID, Key Vault, RBAC

AI Workloads & Responsible AI

• Workloads: Vision, NLP, Document Intelligence, GenAI
• Responsible AI: fairness, safety, privacy, transparency
• Service fit: Vision, Language/Speech, Document Intelligence, OpenAI

Machine Learning Fundamentals on Azure

• Concepts: features/labels, train–test, metrics
• Algorithms: classification, regression, clustering, Transformers
• Platform: Azure ML, AutoML, model registry, endpoints

Computer Vision on Azure

• Tasks: classification, detection, OCR, face
• Services: Azure AI Vision, Azure AI Face
• Docs tie-in: Azure AI Document Intelligence

Natural Language Processing (NLP) on Azure

• Tasks: key phrases, entities, sentiment, summarization
• Speech & translation: Speech (STT/TTS), Translator
• Service fit: Azure AI Language features

Generative AI on Azure

• Concepts: prompts, tokens, safety, evals
• Services & models: Azure OpenAI, Foundry model catalog, Prompt Flow
• RAG: embeddings, chunking, vector search, grounding

AI-900 Exam Readiness

• Skills measured: workloads, ML, Vision, NLP, GenAI
• Prep: Microsoft Learn, practice assessment, exam sandbox
• Artifacts: model card, metrics README, architecture diagram

Future-Proof Roadmap: Full-Stack Azure AI Engineer

• Scope: App/UI, API/Functions, Models/OpenAI/AML, Data/Search/Fabric
• Cert path: AI-900 -> AI-102 -> DP-100/AZ-204/AZ-305
• Ops & governance: GitHub Actions, AKS/Container Apps, App Insights, Entra/Key Vault/Purview

Who Should Attend?

• Students & Fresh Graduates – looking to start a career in AI, ML, or Cloud Computing with a globally recognized certification.
• Software Developers & Engineers – who want to add AI capabilities to their applications using Azure AI Services & Azure OpenAI.
• Data Analysts & Data Engineers – aiming to expand into AI/ML workloads and strengthen their cloud skillset.
• IT Professionals & Cloud Enthusiasts – who want to understand AI workloads on Azure and future-proof their careers.
• Working Professionals Switching Careers – interested in moving into AI-powered cloud roles with high global demand.

Why Attend This Masterclass?

Are you still just experimenting with ChatGPT while the industry demands enterprise-grade AI solutions on Azure?

In this FREE 90-minute masterclass, you won’t just learn buzzwords — you’ll gain hands-on skills to design, build, and deploy AI workloads on Microsoft Azure.

You’ll explore:

• Azure AI Services (Vision, NLP, Speech, Document Intelligence)
• Azure OpenAI & Generative AI (prompts, tokens, RAG, safety)
• Azure Machine Learning (AutoML, model training, endpoints)
• Responsible AI principles (fairness, privacy, transparency)

Whether you’re a developer, data engineer, or aspiring AI professional, this session will give you a solid foundation to pass the AI-900 exam and kickstart your cloud + AI career.

Get certified. Get noticed. Kickstart your Azure AI journey today..!