Designing and Implementing a Microsoft Azure AI Solution (AI-102T00
About Education
Designing and Implementing a Microsoft Azure AI Solution (AI-102T00) training course aims to equip software developers with the skills to plan, design, develop, deploy, and manage Azure AI services by taking on the role of Artificial Intelligence Engineer.
This training course will demonstrate the use of services such as Azure Cognitive Services, Azure Cognitive Search, and Azure OpenAI. Real-world scenarios will be addressed using REST APIs and SDKs in C# or Python.
Prerequisites
- Software development knowledge (experience working with at least one of the C# or Python languages)
- Knowledge of Azure fundamentals (Azure portal usage, resource creation, basic service logic)
- Experience working with REST APIs (JSON, HTTP requests, authentication processes)
- Familiarity with basic data processing and artificial intelligence concepts (entry-level knowledge in areas such as machine learning, NLP, and visual processing)
- People with general cloud and software development experience can participate in this training, even if they have not worked with Azure AI services before.
Duration of Training
- With instructor: 4 days of practical training (online or on-site)
Who Should Participate?
- Software developers who want to develop real applications using Azure AI services
- AI engineer candidates who want to plan, manage, and deploy projects involving artificial intelligence.
- Azure portal, people who know C# or Python, and have worked with REST/JSON.
- Professionals who want to develop products in areas such as bots, smart search, and visual/audio/speech analysis.
Educational Content
- Planning and Preparation
- Azure AI services overview, architectural design, and responsible AI principles
- Creating & Consuming Cognitive Services
- Source creation, endpoint/key management, REST API and SDK usage.
- Security & Surveillance
- Identity verification, network security, cost/performance/telemetry monitoring, deployment to container environment
- Computer Vision
- Visual analysis, classification, object recognition, face recognition, OCR, video analysis.
- Natural Language Processing
- Language recognition, sentiment analysis, entity recognition, translation, question-answering, speech-to-text and vice versa.
- Cognitive Search
- Smart search, enrichment, knowledge store, semantic and vector search with Azure AI Search
- Document Intelligence
- Automatic data extraction from forms and documents, pre-trained & custom models.
- Generative AI & OpenAI
- Natural language, code, image generation, and RAG-based solutions with Azure OpenAI integration.
What You Will Gain at the End of Training
- Analysing Azure AI solutions to select the right services, plan and configure them securely.
- Transforming various AI scenarios into applications with Cognitive Services
- Developing end-to-end solutions in the fields of visual, language, speech, document, search, and generative AI.
- Deploying solutions in containers, monitoring, ensuring security, and optimising costs.
- Prepare for the AI-102 exam and reach the level required to apply for the Azure AI Engineer Associate certification.
