AI-900T00: Microsoft Azure AI Fundamentals

Upcoming Schedules:

• 2nd September 2024 – Monday
• 23^rd September 2024 - Monday
• 14th October 2024 – Monday
• 28^th October 2024 - Monday
• 18th November 2024 – Monday
• 9th December 2024 – Monday
• 16^th December 2024 – Monday

Course Overview:

The "Microsoft Azure AI Fundamentals" course is designed to provide participants with a foundational understanding of artificial intelligence (AI) concepts and how they are implemented on the Microsoft Azure cloud platform. The course covers key AI services offered by Azure and explores practical use cases for AI applications.

Target Audience:

This course is suitable for individuals new to AI and Azure, including business decision-makers, IT professionals, data analysts, and developers interested in leveraging AI capabilities in Azure.

Prerequisites:

No specific prerequisites are required for this course, although familiarity with basic computer concepts and cloud computing fundamentals is beneficial.

What's Included :

• 1 day instructor-led training
• Official Study guide
• Labs (as required) for hands-on learning
• Certified Trainer delivering the class
• Case studies of implementations
• Hands-on projects & exercises to apply concepts learned throughout the course
• Q&A sessions and troubleshooting exercises

Module 1: Introduction to Artificial Intelligence

• Overview of artificial intelligence concepts and applications
• Understanding the role of AI in modern technologies and industries
• Ethical considerations and responsible AI practices

Module 2: Introduction to Azure AI Services

• Overview of Microsoft Azure and its AI capabilities
• Introduction to Azure Cognitive Services for vision, speech, language, and decision-making
• Understanding Azure Machine Learning for building and deploying ML models

Module 3: Azure Cognitive Services

• Exploring Azure Cognitive Services APIs for computer vision, speech recognition, and natural language processing (NLP)
• Implementing vision AI solutions for image analysis and object detection
• Building conversational AI applications using Azure Bot Services

Module 4: Azure Machine Learning Fundamentals

• Introduction to Azure Machine Learning Studio for creating ML experiments
• Data preparation and feature engineering techniques
• Training and evaluating machine learning models using Azure ML

Module 5: Implementing AI Solutions on Azure

• Designing and implementing AI solutions on the Azure platform
• Integrating AI capabilities into existing applications and workflows
• Best practices for deploying and managing AI solutions on Azure

Module 6: Azure AI Fundamentals Project

• Hands-on project to apply concepts learned throughout the course
• Building an end-to-end AI solution using Azure Cognitive Services and Azure Machine Learning
• Presenting and evaluating the AI project for real-world scenarios

Module 7: AI in Business and Future Trends

• Understanding the impact of AI on business processes and decision-making
• Exploring emerging trends and future directions in AI and Azure AI services
• Strategic considerations for adopting AI technologies in organizations

This course outline provides a comprehensive introduction to AI concepts, Azure AI services, practical implementations, and exam preparation for the Microsoft Azure AI Fundamentals certification.