Designing and Implementing a Microsoft Azure AI Solution
This advanced Microsoft Official course (AI-102) is a vital resource for tech enthusiasts aiming to master AI. Participants will explore Azure’s latest AI services, including natural language processing, computer vision, and speech recognition, and gain hands-on coding experience in C# or Python.
Students will engage in practical labs and demonstrations, applying AI solutions to real-world scenarios. The course emphasizes collaboration with solution architects, data scientists, and other IT professionals, ensuring a comprehensive understanding of end-to-end AI solution development.
Additionally, the course covers responsible AI principles, ensuring that participants not only build effective AI solutions but also understand the ethical implications and best practices for deploying AI responsibly. This holistic approach equips students with the skills needed to excel in the rapidly evolving field of AI.
The course also prepares attendees for the Microsoft Certified: Azure AI Engineer Associate exam, providing a solid foundation for building intelligent applications.
For companies, investing in their IT teams to learn these cutting-edge skills is crucial for staying competitive and leading innovation. Empowering your team with AI expertise will drive business transformation, enhance efficiency, and position your organization at the forefront of technological advancement.
Table of Contents
Class Outline:
Day 1
8:30 AM to 9:15 AM | Welcome to Class!
- Introduction to the course
- Overview of the schedule
- Setting expectations
9:15 AM to 10:15 AM | Module 1 – Introduction to AI and Azure AI Services
- Overview of Azure AI services
10:15 AM to 10:30 AM | Morning Break
10:30 AM to 12:00 PM | Module 1 – Introduction to AI and Azure AI Services (continued)
- Introduction to AI concepts and terminology
- Setting up Azure AI resources
12:00 PM to 1:00 PM | Lunch Break
1:00 PM to 2:45 PM | Module 1 – Introduction to AI and Azure AI Services (continued)
- Lab: Get Started with Azure AI Services
- Demo: Secure AI Services
- Demo: Monitor AI Services
2:45 PM to 3:00 PM | Afternoon Break
3:00 PM to 4:30 PM | Module 2 – Implementing Computer Vision Solutions
- Introduction to computer vision
- Using Azure AI Vision and Custom Vision
Day 2
8:30 AM to 10:15 AM | Module 2 – Implementing Computer Vision Solutions (continued)
- Implementing image classification and object detection
- Lab: Analyze Images with Azure AI Vision
- Lab: Read Text in Images
- Lab: Classify images with a custom Azure AI Vision model
10:15 AM to 10:30 AM | Morning Break
10:30 AM to 12:00 PM | Module 2 – Implementing Computer Vision Solutions (continued)
- Demo: Detect faces
- Demo: Analyze video
12:00 PM to 1:00 PM | Lunch Break
1:00 PM to 2:45 PM | Module 3 – Developing Natural Language Processing Solutions
- Introduction to natural language processing (NLP)
- Using Azure AI Language for text analytics and sentiment analysis
2:45 PM to 3:00 PM | Afternoon Break
3:00 PM to 4:30 PM | Module 3 – Developing Natural Language Processing Solutions (continued)
- Training custom language models
- Lab: Analyze text
- Lab: Create question answering solution
- Lab: Create a language understanding model
Day 3
8:30 AM to 10:15 AM | Module 4 – Building Knowledge Mining Solutions
- Introduction to knowledge mining
- Using Azure AI Search for intelligent search solutions
10:15 AM to 10:30 AM | Morning Break
10:30 AM to 12:00 PM | Module 4 – Building Knowledge Mining Solutions (continued)
- Implementing knowledge mining with Azure Cognitive Search
- Lab: Create a Custom Skill for Azure AI Search
12:00 PM to 1:00 PM | Lunch Break
1:00 PM to 2:45 PM | Module 5 – Creating Conversational AI Solutions
- Introduction to conversational AI
- Using Azure Bot Service and Bot Framework
2:45 PM to 3:00 PM | Afternoon Break
3:00 PM to 4:30 PM | Module 5 – Creating Conversational AI Solutions (continued)
- Building and deploying chatbots
- Lab: Create a chatbot with Azure Bot Service
Day 4
8:30 AM to 10:15 AM | Module 6 – Integrating AI Solutions
- Integrating AI capabilities into applications
- Using REST APIs for AI services
10:15 AM to 10:30 AM | Morning Break
10:30 AM to 12:00 PM | Module 6 – Integrating AI Solutions (continued)
- Best practices for deploying and managing AI solutions
- Lab: Integrate AI services into an application
12:00 PM to 1:00 PM | Lunch Break
1:00 PM to 2:45 PM | Module 6 – Integrating AI Solutions (continued)
- Lab: Use REST APIs for AI services
2:45 PM to 3:00 PM | Afternoon Break
3:00 PM to 4:30 PM | Review and Q&A
- Recap of key concepts
- Tips to schedule and pass the AI-102 exam
- Course wrap-up and feedback
Class Audience:
- IT Professionals
- Software Developers
No prior experience with AI is required. However, experience with Microsoft Azure services is required and we recommend taking the Microsoft Azure AI Fundamentals (AI-900) class first.
This course also prepares students for the Microsoft Exam AI-102, for those looking to earn their Microsoft Certified: Azure AI Engineer Associate certification proving their new skills in Microsoft Azure AI solutions.
Class Requirements:
You don’t need your own Microsoft Azure account to attend this class, as each student will have access to a dedicated lab environment. However, it’s essential to have a reliable computer and a stable internet connection to ensure a smooth learning experience.
Class Details:
📅 Class Duration: 4 Days / 32 Hours (includes breaks)
⏰ Class Time: Daily at 8:30 AM to 4:30 PM EST (includes breaks)
🗣️🌐 Class Format: Live Online. Interact with an experienced instructor via Microsoft Teams.
🎟️ Secure Your Spot: Class sizes are limited to 15 students to ensure that everyone benefits.
💳 Price: $1,996 per student (contact us for group rates)
Scheduled Dates:
Monday February 3 – Thursday February 6, 2025
REGISTRATION CLOSED
Class sold-out? Additional seats 🎟️ may be available on eventbrite!