AI-100: Designing and Implementing an Azure AI Solutions

Why take this course?
🎓 AI-100 Course Description:
UPDATE: 🔄 Don't miss out! This course is being enhanced and will soon become AI 102 with an updated curriculum. Continue using this course to prepare for the upcoming AI 102 exam, ensuring you stay ahead of the curve!
🎉 Designing and Implementing an Azure AI Solutions: Embark on a journey to master the realm of AI on Microsoft Azure with our comprehensive AI-100 course. This course is meticulously tailored to align with the Microsoft AI-100 certification exam, providing you with the necessary skills to design, implement, operationalize, monitor, optimize, and secure AI solutions on Azure.
🧠 What You'll Learn:
Analyze Solution Requirements: 🎯 (25-30% of course content)
- Recommend the most suitable Azure Cognitive Services APIs for your business needs.
- Select the processing architecture, data technologies, AI models, services, and endpoint connections.
- Identify security requirements, automation, and compliance with data privacy regulations.
- Map out access controls, tools, storage solutions, and auditing necessities.
- Choose appropriate services and tools for your solution and integrate with other Microsoft services.
Design AI Solutions: 📈 (40-45% of course content)
- Craft intricate AI application workflows and design effective data ingestion and egress strategies.
- Create multi-pipeline solutions that leverage Azure Cognitive Services, Machine Learning models, and the Microsoft Bot Framework.
- Design pipelines that incorporate vision, speech, language, knowledge, search, and anomaly detection capabilities.
- Implement AI solutions using Python and JavaScript.
- Establish a secure compute infrastructure tailored to your solution's requirements.
- Ensure compliance with governance, data integrity, and security standards.
Implement and Monitor AI Solutions: 🛠️ (25-30% of course content)
- Develop AI workflows, manage data flows, and create custom service interfaces.
- Configure Azure Cognitive Services APIs and integrate with the Microsoft Bot Framework.
- Implement monitoring strategies to track performance and optimize your solution.
- Maintain your AI solution for continuous improvement based on real-world feedback and analytics.
📚 Course Highlights:
- In-depth coverage of Azure Cognitive Services APIs, including Face Detection, OCR, Text Analytics, and more.
- Hands-on implementation using Python and JavaScript.
- A focus on designing solutions with vision, speech, language, knowledge, search, and anomaly detection capabilities.
- Practical guidance on integrating bots with Azure app services and Application Insights.
- Comprehensive strategies for data governance, compliance, integrity, and security.
🤝 Your Instructor: Anand Rao Nednuri is your expert guide through this course, bringing a wealth of knowledge in AI solutions on Microsoft Azure. He's dedicated to ensuring you receive the best learning experience possible.
Join us today and take the first step towards becoming an AI solution architect on Microsoft Azure. With our AI-100 course, you're not just preparing for an exam; you're equipping yourself with skills that will revolutionize the way you approach AI and its integration into business processes. 🌟
If you have any questions or need further guidance, please don't hesitate to reach out to Anand or our support team. We're here to help you succeed!
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