Overview
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..!
