Introduction

Artificial Intelligence (AI) is revolutionizing industries by enabling automation, data-driven decision-making, and enhanced customer experiences. This course provides a foundational understanding of AI concepts, machine learning (ML), and their applications using Microsoft Azure. It covers key AI services available in Azure, including Azure Machine Learning, Cognitive Services, Computer Vision, Natural Language Processing (NLP), and AI-powered chatbots. Participants will gain hands-on experience in building AI solutions, understanding AI ethics, and leveraging Azure’s AI capabilities for real-world scenarios. This course is designed for beginners, business decision-makers, and IT professionals looking to explore AI technology and prepare for the Microsoft Certified: Azure AI Fundamentals (AI-900) exam.

Prerequisites

1. Basic Understanding of Cloud Computing – Familiarity with cloud-based technologies and services is helpful but not required.
2. No Prior AI or Programming Experience Required – The course is designed for beginners with no technical background. However, basic knowledge of IT concepts is beneficial.
3. Familiarity with Microsoft Azure (Optional) – While prior experience with Azure is not necessary, having an overview of Azure services will enhance learning.
4. Interest in AI and Machine Learning – This course is ideal for professionals exploring AI-powered business solutions, developers, and students looking to enter the AI field.

Table of Contents

1. Introduction to AI and Microsoft Azure

• 1.1 What is Artificial Intelligence (AI)?
• 1.2 Key AI Concepts: Machine Learning, Deep Learning, and Neural Networks
• 1.3 The Role of AI in Modern Businesses
• 1.4 Overview of Microsoft Azure AI Services
• 1.5 AI Use Cases Across Industries

2. Machine Learning and Predictive Analytics on Azure

• 2.1 Fundamentals of Machine Learning
• 2.2 Supervised vs. Unsupervised Learning
• 2.3 Introduction to Azure Machine Learning (Azure ML)
• 2.4 Training, Testing, and Deploying ML Models
• 2.5 AutoML and No-Code ML Solutions in Azure

3. Computer Vision and Image Processing

• 3.1 Understanding Computer Vision in AI
• 3.2 Azure Computer Vision Services Overview
• 3.3 Image Recognition and Object Detection
• 3.4 Optical Character Recognition (OCR) and Handwriting Recognition
• 3.5 Custom Vision and Real-Time Image Processing

4. Natural Language Processing (NLP) and Speech Recognition

• 4.1 Fundamentals of NLP and Text Analytics
• 4.2 Sentiment Analysis, Entity Recognition, and Key Phrase Extraction
• 4.3 Speech-to-Text and Text-to-Speech Capabilities in Azure(Ref: Azure Functions: Microsoft’s serverless offering)
• 4.4 Language Understanding (LUIS) and AI-driven Conversational AI
• 4.5 Translating Text and Speech Using Azure AI Services

5. Conversational AI and AI-powered Chatbots

• 5.1 Introduction to Chatbots and Virtual Agents
• 5.2 Building an AI-Powered Chatbot with Azure Bot Service
• 5.3 Integrating Bots with Microsoft Teams, Web Apps, and Customer Support
• 5.4 Enhancing Chatbot Interactions with NLP and AI Models
• 5.5 Best Practices for Chatbot Development and Deployment

6. Responsible AI and Ethical Considerations

• 6.1 Ethical Challenges in AI Development
• 6.2 Understanding AI Bias and Fairness
• 6.3 Compliance and Governance in AI Applications
• 6.4 Implementing Responsible AI Principles in Azure
• 6.5 Case Studies: Ethical AI in Action

7. Preparing for the AI-900 Certification Exam

• 7.1 Overview of AI-900 Exam Structure and Domains
• 7.2 Key Topics and Study Resources
• 7.3 Sample Questions and Practice Tests
• 7.4 Exam-Taking Strategies and Tips
• 7.5 Next Steps in AI Learning and Certification Pathways

Conclusion

Microsoft Azure AI Fundamentals provides a comprehensive introduction to AI concepts, machine learning, computer vision, NLP, and chatbot development using Azure services. Through real-world examples, hands-on exercises, and interactive learning, participants will develop a solid foundation in AI and its practical applications. This training is ideal for professionals, students, and organizations looking to understand AI’s impact and leverage Azure AI services for business innovation. Completing this course will also help participants confidently prepare for the Microsoft Certified: Azure AI Fundamentals (AI-900) certification exam, setting them on a path toward advanced AI and cloud computing expertise.

Reference