Develop AI Solutions in Azure
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.
Note: Microsoft has recently updated the course title to “Develop AI Solutions in Azure”. However, the certification exam is still officially named “Designing and Implementing a Microsoft Azure AI Solution”, and both the course and exam retain the designation AI-102.
Put Microsoft on Your Resume
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.
Scheduled Classes
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AI-102 Develop AI Solutions in Azure | Nov 17, 2025 | Live Online
Sold Out$2,495.00 -
AI-102 Develop AI Solutions in Azure | Jan 26, 2026 | New York, NY
12 Seats Remaining$2,495.00 -
AI-102 Develop AI Solutions in Azure | Mar 9, 2026 | Live Online
15 Seats Remaining$2,495.00
Class sold-out? Additional seats 🎟️ may be available on eventbrite!
⏰ Class Time: Daily at 9:00 AM to 5:00 PM EST (includes breaks)
📅 Class Duration: 5 Days / 40 Hours (includes breaks)
🗣️ Instructor-led: All of our classes are live with a Microsoft Certified Trainer, that way you can benefit from an immersive and collaborative environment. Instructor-led training is still the best way to learn.
🎟️ Secure Your Spot: All of our classes have attendance limits. If you find a class is sold out, check if there are any seats available on Eventbrite. And if you are enrolling over 6 people, we suggest you contact us for a private event.
💲Price: $2,495 per student (contact us for group rates). Be sure to follow us on social media to be notified of promotions. Need a price comparison for your purchase request? Click here for a competitive price chart.
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.
Live Online / Virtual
Classes are held via Microsoft Teams, so you can attend from anywhere that is convenient for you.
In-Person
We offer onsite training options for organizations looking to train multiple employees. Contact us today for a free estimate!
Day 1: Foundations & Azure AI Services
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: Prepare to Develop AI Solutions
- AI concepts, terminology, and responsible AI
- Azure AI Foundry overview
10:15 AM to 10:30 AM | Morning Break
10:30 AM to 12:00 PM | Module 1 (continued)
- Developer tools, SDKs, and planning AI projects
- Lab: Set up Azure AI environment
12:00 PM to 1:00 PM | Lunch Break
1:00 PM to 2:45 PM | Module 2: Create and Consume Cognitive Services
- Provisioning resources
- Using REST APIs and SDKs
- Lab: Consume Cognitive Services
2:45 PM to 3:00 PM | Afternoon Break
3:00 PM to 4:30 PM | Module 3: Secure and Monitor AI Services
- Authentication, network security
- Monitoring costs, metrics, and diagnostics
Day 2: Vision & Speech
8:30 AM to 10:15 AM | Module 4: Computer Vision
- Image analysis, classification, object detection
- Lab: Analyze images, detect faces
10:15 AM to 10:30 AM | Morning Break
10:30 AM to 12:00 PM | Module 4 (continued)
- Video analysis
- Lab: Analyze video
12:00 PM to 1:00 PM | Lunch Break
1:00 PM to 2:45 PM | Module 5: Speech Services
- Speech-to-text, text-to-speech
- Speech translation
- Lab: Build speech-enabled app
2:45 PM to 3:00 PM | Afternoon Break
3:00 PM to 4:30 PM | Module 6: Read & Extract Text
- OCR with Computer Vision
- Form Recognizer
- Lab: Extract data from forms
Day 3: Language & NLP
8:30 AM to 10:15 AM | Module 7: Natural Language Processing
- Text analytics, sentiment analysis
- Entity recognition
- Lab: Analyze text
10:15 AM to 10:30 AM | Morning Break
10:30 AM to 12:00 PM | Module 8: Language Understanding
- Intents, utterances, entities
- Lab: Train and publish LUIS model
12:00 PM to 1:00 PM | Lunch Break
1:00 PM to 2:45 PM | Module 9: Question Answering
- Knowledge base creation
- Multi-turn conversations
- Lab: Build QnA bot
2:45 PM to 3:00 PM | Afternoon Break
3:00 PM to 4:30 PM | Module 10: Conversational AI
- Bot Framework SDK & Composer
- Lab: Build and deploy chatbot
Day 4: Knowledge Mining & Integration
8:30 AM to 10:15 AM | Module 11: Knowledge Mining
- Azure Cognitive Search
- Custom skills and knowledge store
- Lab: Build intelligent search
10:15 AM to 10:30 AM | Morning Break
10:30 AM to 12:00 PM | Module 12: Integrating AI Solutions
- REST APIs, containers, CI/CD
- Lab: Integrate AI into apps
12:00 PM to 1:00 PM | Lunch Break
1:00 PM to 2:45 PM | Module 13: Generative AI with Azure OpenAI
- Prompt engineering
- RAG (Retrieval Augmented Generation)
- Lab: Build generative AI app
2:45 PM to 3:00 PM | Afternoon Break
3:00 PM to 4:30 PM | Module 13 (continued)
- Fine-tuning models
- Responsible generative AI
Day 5: Capstone & Exam Prep
8:30 AM to 10:15 AM | Capstone Project
- Choose a real-world scenario
- Design and implement a solution using multiple Azure AI services
10:15 AM to 10:30 AM | Morning Break
10:30 AM to 12:00 PM | Capstone (continued)
- Finalize and present solutions
12:00 PM to 1:00 PM | Lunch Break
1:00 PM to 2:45 PM | Review & Exam Prep
- Recap key modules
- Practice questions
- Tips for passing AI-102
2:45 PM to 3:00 PM | Afternoon Break
3:00 PM to 4:30 PM | Wrap-Up
- Feedback
- Certification guidance
- Next steps