Azure AI Engineer Associate (AI-102) Cert Prep: Plan and Manage an Azure AI Solution
2h 38mIntermediate2024-09-26
Authors
Gerry O'Brien
Course details
The Microsoft AI-102 certification demonstrates your expertise in designing, developing, and implementing Azure AI solutions. The exam requires that candidates understand Azure services, AI technologies, and data science concepts. This course covers the skills and topics from the “Plan and Manage An Azure AI Solution” domain of the exam. Instructor Gerry O’Brien discusses the various Azure AI solutions, including Azure AI Services, Azure OpenAI Services, and Cognitive Search. This course will empower you to not only grasp the foundational concepts but also to apply critical thinking skills to real-world scenarios, and propel your career towards mastery of Azure AI solutions.
Learning objectives
Utilize Azure AI services to design and deploy custom machine learning models, demonstrating proficiency in implementing AI solutions within Azure's ecosystem.
Evaluate the performance and effectiveness of deployed AI models through robust analytical techniques, fostering the ability to interpret and optimize AI solutions for enhanced outcomes.
Strategically plan and architect Azure AI solutions, employing advanced methodologies to address complex business challenges and ensure scalability and reliability.
Effectively manage Azure AI resources and workflows, demonstrating adeptness in maintaining and optimizing AI solutions to meet evolving business requirements.
Continuously adapt Azure AI solutions to changing needs and emerging technologies, showcasing the agility to innovate and stay ahead in the dynamic landscape of artificial intelligence.
Learning objectives
Utilize Azure AI services to design and deploy custom machine learning models, demonstrating proficiency in implementing AI solutions within Azure's ecosystem.
Evaluate the performance and effectiveness of deployed AI models through robust analytical techniques, fostering the ability to interpret and optimize AI solutions for enhanced outcomes.
Strategically plan and architect Azure AI solutions, employing advanced methodologies to address complex business challenges and ensure scalability and reliability.
Effectively manage Azure AI resources and workflows, demonstrating adeptness in maintaining and optimizing AI solutions to meet evolving business requirements.
Continuously adapt Azure AI solutions to changing needs and emerging technologies, showcasing the agility to innovate and stay ahead in the dynamic landscape of artificial intelligence.
Skills covered
Azure OpenAICloud AdministrationArtificial Intelligence FoundationsAzureCloud PlatformsCert PrepArtificial Intelligence (AI)Cloud ComputingMicrosoft
Concepts
0. Introduction
- 01 - Introducing Azure AI solutions
1. Introducing Azure AI
- 02 - What is AI
- 03 - Overview of the AI-102 certification
- 04 - Introducing the AI engineer role
- 05 - Introducing responsible AI considerations
- 06 - Introducing machine learning concepts
- 07 - Introducing Azure AI Services
- 08 - Introducing the Azure OpenAI Service
- 09 - Introducing Azure Cognitive Search
2. Select the Appropriate Azure AI Service
- 10 - Select an appropriate computer vision service
- 11 - Select an appropriate natural language processing (NLP) service
- 12 - Select an appropriate speech service
- 13 - Select an appropriate service for generative AI
- 14 - Select the appropriate service for a Document Intelligence solution
- 15 - Select the appropriate service for knowledge mining
3. Provision and Consume Azure AI Services
- 16 - Provision an Azure AI Services resource
- 17 - Azure AI Services resource endpoints and keys
- 18 - Azure AI Services API overview
- 19 - Plan for container deployments
4. Manage, Monitor, and Secure AI Services
- 20 - Configure logging for diagnostics
- 21 - Monitor your Azure AI resources
- 22 - Manage AI services cost
- 23 - Protect AI services with keys and Azure Key Vault
- 24 - Manage authentication for your AI services
Conclusion
- 25 - Next steps