Overview
Introduction to Artificial Intelligence on Microsoft Azure
AI-901: Azure AI Fundamentals is an entry-level course designed for individuals who want to understand Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and Microsoft's AI services without requiring prior data science or software development experience.
This course provides a solid foundation in AI concepts and demonstrates how Microsoft Azure AI services can be used to build intelligent business solutions. Participants will gain practical exposure to Machine Learning, Computer Vision, Natural Language Processing (NLP), Generative AI, Azure AI Services, Responsible AI, and Azure OpenAI.
Ideal for business professionals, managers, developers, consultants, students, and decision-makers who want to start their AI journey.
Prerequisites
- Basic computer knowledge
- Internet and cloud concepts
- General understanding of business applications
Curriculum
Module 1: Introduction to Artificial Intelligence
- What is Artificial Intelligence?
- Types of AI
- AI in Everyday Life
- AI Workloads
- Machine Learning Overview
- Computer Vision Overview
- Natural Language Processing
- Generative AI Fundamentals
- Conversational AI
Practical Session
- Identifying AI Use Cases
- Demonstration of AI Applications
Module 2: Fundamentals of Machine Learning
- What is Machine Learning?
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Classification Models
- Regression Models
- Clustering
- Model Training Concepts
- Model Evaluation Basics
Practical Session
- Explore Machine Learning Examples
- Azure Machine Learning Demonstration
Module 3: Azure AI Services Introduction
- What are Azure AI Services?
- Azure AI Architecture
- Azure AI Resource Management
- Azure AI Studio Overview
- Azure AI Foundry Overview
- Selecting Appropriate AI Services
Practical Session
- Create Azure AI Resource
- Explore Azure AI Services Portal
Module 4: Computer Vision Fundamentals
- Image Analysis
- Object Detection
- Optical Character Recognition (OCR)
- Face Detection Concepts
- Image Classification
- Computer Vision Applications
- Document Intelligence Overview
Business Use Cases
- Invoice Processing
- Manufacturing Inspection
- Retail Analytics
- Identity Verification
Practical Session
- Analyze Images Using Azure AI Vision
Module 5: Natural Language Processing (NLP)
- Text Analytics
- Sentiment Analysis
- Key Phrase Extraction
- Named Entity Recognition
- Language Detection
- Question Answering
- Language Understanding
Business Use Cases
- Customer Feedback Analysis
- Social Media Monitoring
- Intelligent Search
- Customer Support Automation
Practical Session
- Analyze Text Using Azure Language Service
Module 6: Generative AI Fundamentals
- What is Generative AI?
- Large Language Models (LLMs)
- GPT Models Overview
- Prompt Engineering Basics
- Generative AI Applications
- Copilots and Virtual Assistants
- Responsible AI in Generative AI
Practical Session
- Interact with Azure OpenAI Models
- Create Basic Prompts
Module 7: Conversational AI
- Chatbots Introduction
- Virtual Assistants
- Conversational AI Design
- Azure Bot Technologies
- Conversational Business Applications
Practical Session
- Build a Simple AI Chatbot
Module 8: Responsible AI
- Fairness
- Reliability and Safety
- Privacy and Security
- Inclusiveness
- Transparency
- Accountability
- Ethical AI Principles
Practical Session
- Evaluate Responsible AI Scenarios
Module 9: Azure OpenAI & AI Copilot Overview
- Introduction to Azure OpenAI
- Enterprise AI Solutions
- AI Assistants and Copilots
- Microsoft Copilot Ecosystem
- AI Agents Overview
- Future of AI Applications
Practical Session
- Explore Enterprise AI Solutions
Features
- Expert-Led Training
- Beginner-Friendly Approach
- Hands-On Learning
Course Fees
Virtual Instructor-Led Training
| One-to-One Private Batch | Public Batch |
|---|---|
| Fees : ₹80,000 + 18% GST | Fees : ₹15,000 + 18% GST |
| 2hrs : Mon - Fri | 2hrs : Mon - Fri |
| 4hrs : Sat - Sun | 4hrs : Sat - Sun |
