AI-100: Designing and Implementing an Azure AI Solutions
What you'll learn
- Ingest, transform, and prepare data for AI solutions
- Design and implement end-to-end AI solutions on Microsoft Azure
- Monitor and optimize AI solutions deployed on Microsoft Azure
- Secure AI solutions on Microsoft Azure
- You will be able to integrate and get best results for any computer vision or Natural Language processing tasks.
- Ability to show and include Machine Learning applications in your app
- Learn Microsoft Azure - Cloud platform cognitive services like Face, Vision, Text API
Requirements
- This path is intended for learners who are familiar with common AI workflows and concepts, but who do not have experience applying these concepts using Microsoft Azure services.
- Basic Python or Javascript
- Basic idea about HTTP, REST
- Usage of Visual Studio
Description
Course Update:
While the original content is based on the AI-100 exam, learners preparing for AI-102 can still benefit from the existing modules, as the core concepts and practical knowledge remain highly relevant and applicable to the updated certification.
Course Overview:
Microsoft Azure provides a comprehensive suite of services designed to enable rapid development, deployment, and operationalization of intelligent AI-driven solutions. This course is structured to help you understand how these services integrate to support the design, implementation, monitoring, optimization, and security of AI applications in real-world scenarios.
Originally tailored for the Microsoft AI-100 certification exam, the course remains highly valuable for those pursuing AI-102, as it covers the foundational and advanced topics that are critical to success in the evolving AI landscape on Azure.
What You’ll Learn:
The course offers deep, hands-on exploration of Azure Cognitive Services APIs, including:
Vision APIs: Face detection, content tagging, and Optical Character Recognition (OCR)
Language APIs: Language detection, sentiment analysis, and key phrase extraction
You’ll implement these services using both Python and JavaScript, ensuring a practical, real-world learning experience that prepares you for modern AI development tasks.
Detailed Course Content:
1. Analyze Solution Requirements (25–30%)
Recommend and select Azure Cognitive Services APIs
Choose appropriate data processing technologies and AI models
Map security and automation needs to technologies and tools
Align with data privacy, protection, and compliance regulations
Identify software, services, and storage to support the AI solution
2. Design AI Solutions (40–45%)
Create AI workflows and data ingestion/egress strategies
Integrate pipelines using Azure Machine Learning and AI apps
Build solutions using Vision, Speech, Language, and Knowledge APIs
Design and integrate bots using the Microsoft Bot Framework and LUIS
Select the right compute infrastructure (GPU, FPGA, CPU) and ensure cost-efficiency
Incorporate governance, compliance, and security principles in AI design
3. Implement and Monitor AI Solutions (25–30%)
Develop and manage AI pipelines and data flow
Construct custom AI service interfaces and solution endpoints
Integrate Azure Cognitive Services and the Microsoft Bot Framework
Implement Azure Cognitive Search
Monitor key performance metrics and optimize AI performance
Whether you are aiming to pass the AI-102 certification or seeking to apply AI concepts in your organization, this course will equip you with both theoretical understanding and practical expertise.
If you have any questions or need guidance, feel free to reach out. I’m here to support your learning journey.
Welcome to the course — let’s get started!
Who this course is for:
- Participants who intend to learn common AI workflows and concepts
- Participants who want to Secure AI solutions
- Participants preparing for AI 100 Microsoft Certification
Instructor
- 4.5 Instructor Rating
- 66,510 Reviews
- 316,780 Students
- 39 Courses
Meet Anand, a seasoned IT professional with over 20 years of experience and a specialization in Active Directory. Anand is a cloud computing expert who has been working in this field since 2012. He holds multiple vendor and vendor-neutral certifications in cloud computing and cyber security, making him a trusted advisor for organizations looking to transition to the cloud.
With his extensive experience and expertise, Anand has provided consultation to numerous organizations and helped them set up cloud infrastructure and optimize their cloud operations. He also has a strong inclination towards information security and data engineering platforms, making him a go-to resource for clients seeking guidance in these areas.
Anand's passion for sharing knowledge and educating others is evident through his blog articles, YouTube videos, and Udemy courses. He is committed to helping others understand complex cloud and security concepts in a simple and understandable way.
If you are looking for a cloud computing expert with extensive experience, a passion for knowledge-sharing, and a commitment to providing the best solutions for your organization, look no further than Anand. Contact him today to discuss how he can help take your cloud infrastructure and security to the next level.
Certifications :
Microsoft Certified Trainer ( MCT )
SY0-401 : CompTIA Security +
Scrum Certified master ( SCRUM )
ITIL V3
Certified Network Defender ( CND – EC-Council )
Certified Ethical hacker ( CEH – EC-Council )
70-640 MS Active Directory
70-533 MS Azure Administration
70-534 MS Azure Architecture
AWS certified solutions Architect – Associate
AWS certified sysops administrator – Associate
Google Cloud Platform-Cloud Architect (GCP)
Certified Cloud Security Knowledge ( CCSK )
Microsoft Security series Certified
MS-500 , Az -500 , SC-900 , SC 200 , SC-300 & SC -100