Azure AI Fundamentals Training in Marina Bay, Singapore

The Azure AI Fundamentals Training introduces participants to Microsoft Azure’s AI services, core AI concepts, and how AI is used in real-world business and technical scenarios.

The course is ideal for those preparing for Azure AI Fundamentals–style certifications, as well as professionals seeking a strong baseline understanding of AI on Microsoft Azure.

Introduction to Artificial Intelligence

• What is AI, ML, and Deep Learning?
• Examples of AI in everyday business
• Benefits and limitations of AI
• Common AI myths and misconceptions

Azure AI Services Overview

• Azure AI service categories
• Cognitive Services overview
• Azure OpenAI introduction
• Azure ML overview

Computer Vision on Azure

• Image analysis basics
• OCR and document understanding
• Face and object detection
• Vision use cases

Natural Language Processing on Azure

• Text analytics and sentiment analysis
• Language understanding
• Translation and speech basics
• NLP business applications

Speech & Conversational AI

• Speech-to-text and text-to-speech
• Chatbots and conversational AI
• Virtual agents and assistants
• Voice-enabled applications

Generative AI on Azure (Intro)

• What is Generative AI?
• Azure OpenAI use cases
• Prompting basics
• Responsible use of GenAI

Machine Learning Fundamentals

• Supervised vs unsupervised learning
• Training vs inference
• Model evaluation basics
• ML use cases

Azure Machine Learning Overview

• Azure ML workspace concept
• Model lifecycle overview
• Training and deployment
• MLOps basics

AI Workloads & Business Scenarios

• Vision, NLP, and conversational workloads
• Predictive analytics workloads
• Generative AI workloads
• Mapping business problems to AI solutions

Responsible AI on Azure

• Fairness, reliability, and safety
• Privacy and security
• Transparency and accountability
• Microsoft Responsible AI principles

Security & Compliance Basics

• Identity and access management
• Data protection concepts
• Compliance and governance overview
• Secure AI service usage

Cost & Scaling Concepts

• Azure pricing basics for AI services
• Scaling AI workloads
• Managing usage and budgets
• Cost optimization awareness

Hands-on Exercises

Summary and Conclusion