Designing and Implementing an Azure AI Solution Training
This course is designed for developers who want to build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Participants will gain hands-on experience designing and implementing AI solutions using Azure services for vision, language, speech, and decision-making applications.
Designing and Implementing an Azure AI Solution (AI-102)
Course Overview
- Design and implement AI solutions using Azure Cognitive Services
- Build, train, and deploy machine learning models using Azure resources
- Create conversational AI experiences with the Azure Bot Service and Bot Framework
- Implement computer vision, natural language processing, and speech solutions
- Integrate AI services securely and efficiently into existing applications
Course Outline
- Module 1: Introduction to Azure AI Services
- Overview of Azure AI portfolio
- Cognitive Services overview
- Understanding responsible AI principles
- Module 2: Developing AI Apps with Cognitive Services
- Using SDKs and REST APIs
- Authentication and authorization with Cognitive Services
- Managing and monitoring Azure AI resources
- Module 3: Implementing Computer Vision Solutions
- Analyzing images with the Computer Vision service
- Detecting and recognizing faces
- Implementing custom vision models
- Module 4: Implementing Natural Language Processing Solutions
- Using Azure AI Language services
- Performing sentiment analysis, key phrase extraction, and translation
- Building custom text classification models
- Module 5: Implementing Speech Solutions
- Speech-to-text and text-to-speech capabilities
- Translating spoken language
- Implementing speaker recognition
- Module 6: Creating Conversational AI with Azure Bot Service
- Designing conversational flows
- Integrating Azure Cognitive Services with bots
- Deploying and testing bots with Azure Bot Framework Composer
- Module 7: Implementing Knowledge Mining with Azure Cognitive Search
- Building intelligent search solutions
- Integrating AI enrichment into data sources
- Managing indexes and search performance
- Module 8: Integrating AI Models and Services
- Combining multiple AI services in solutions
- Using Azure Machine Learning for custom models
- Managing AI pipelines and deployment
- Module 9: Monitoring, Security, and Compliance
- Implementing monitoring and diagnostics for AI services
- Ensuring data privacy and compliance
- Applying responsible AI principles in deployment
Intended Audience
- AI Engineers
- AI Developers
- Machine Learning Engineers focused on solution integration
Prerequisites
- Knowledge of Microsoft Azure and basic cloud concepts
- Experience in at least one programming language such as Python or C#
- Understanding of REST APIs and JSON data structures
Follow-On Courses
Related training topics
Justify your training
Use this sample request letter — copy it into an email to your manager and personalize the bracketed details to make the case for the time and budget.
Sample training request letter
Subject: Request for AI & AI Security training from Applied Technology Academy
[Decision Maker Name],
I'm writing to request time and budget approval to complete Applied Technology Academy's course, Designing and Implementing an Azure AI Solution Training. The information below outlines how this training benefits our organization, the tasks I'll be able to perform after completing it, and relevant cost and funding details.
Course Description
This course is designed for developers who want to build, manage, and deploy AI
solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and
Microsoft Bot Framework. Participants will gain hands-on experience designing and
implementing AI solutions using Azure services for vision, language, speech, and
decision-making applications. Applied Technology Academy is an award-winning, SBA-certified woman-owned training provider (est. 2008) whose instructors are active practitioners; the course is hands-on with virtual labs and a learn-by-doing methodology.
Course Objectives
Once I've completed the course, I'll have hands-on, job-ready skills in ai & ai security that I can apply immediately to our work.
Expected Organizational Benefits
After completing this course, I will be better equipped to apply these skills directly to our projects, reduce our reliance on outside expertise, strengthen our team's capabilities, and share what I learn with colleagues.
Expected Cost & Funding
Course fee: [request an itemized quote at the link below]. Applied Technology Academy supports multiple funding paths that may reduce or cover this cost: GSA MAS purchasing and government purchase orders, military credentialing funding (Army CA, AF COOL, CG COOL), VA GI Bill and VR&E, ATA Flexible Spending, and student financing. Private team cohorts are available if colleagues should attend with me.
Conclusion
This training provides practical, hands-on experience I can apply immediately to strengthen our work in ai & ai security. Additional course information is available at https://appliedtechnologyacademy.com/microsoft-training/designing-and-implementing-an-azure-ai-solution-training/.
Thank you for your consideration,
[Your Name]
Design training around your team, not the other way around.
Talk to a training advisor about private cohorts, funding paths and program management.