This CertKit introduces fundamentals concepts related to Artificial Intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.

Prerequisites:

• Knowledge of Microsoft Azure and ability to navigate the Azure portal
• Knowledge of either C# or Python
• Familiarity with JSON and REST programming semantics
• Recommended course prerequisites: AI-900: Microsoft Azure AI Fundamentals

Course outcome:

In this course, you will learn to:

• Plan and manage an Azure AI solution
• Implement generative AI solutions
• Implement an agentic solution
• Implement computer vision solutions
• Implement natural language processing solutions
• Implement knowledge mining and information extraction solutions

Who should attend:

This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Foundry and other Azure AI services. They are familiar with C# or Python and have knowledge on using REST-based APIs and SDKs to build generative AI, computer vision, language analysis, and information extraction solutions on Azure.

CertKit content:

• E-learning courses:
  • AI-102 – Azure AI Engineer Associate: Introducing Azure AI Services
  • AI-102 – Azure AI Engineer Associate: Azure AI Foundry and Language Studio
  • AI-102 – Azure AI Engineer Associate: Language Tasks Using REST APIs and Client SDKs
  • AI-102 – Azure AI Engineer Associate: Conversational Language & Custom Question Answering
  • AI-102 – Azure AI Engineer Associate: Translation & Speech Tasks
  • AI-102 – Azure AI Engineer Associate: Image Analysis in the Azure AI Vision Service
  • AI-102 – Azure AI Engineer Associate: Video Indexer and Custom Vision
  • AI-102 – Azure AI Engineer Associate: Azure OpenAI and AI Foundry
  • AI-102 – Azure AI Engineer Associate: Projects, Playgrounds, and Models
  • AI-102 – Azure AI Engineer Associate: Model Parameters and Prompt Engineering
  • AI-102 – Azure AI Engineer Associate: Retrieval Augmented Generation
  • AI-102 – Azure AI Engineer Associate: Fine-Tuning and Model Evaluation
  • AI-102 – Azure AI Engineer Associate: Tracing and Prompt Flows
  • AI-102 – Azure AI Engineer Associate: Introducing Azure AI Search
  • AI-102 – Azure AI Engineer Associate: Configuring and Using Azure AI Search
  • AI-102 – Azure AI Engineer Associate: Azure AI Content Understanding
• MeasureUp Exam simulation
  • 140+ questions
• Challenge Labs Collection (option):
  • Explore Document Processing in Azure AI’s Document Intelligence Studio [Guided] [A1102-001]
  • Create a Bot by Using the Bot Framework SDK [Guided] [A1102-002]
  • Generate Insights from Images by Using Azure AI Vision Services [Guided] [A1102-003]
  • Integrate Azure AI Immersive Reader Into Your Application by Using Its SDK [Guided] [A1102-005]
  • Summarize Text Automatically by Using Azure AI Language Services [Guided] [A1102-006]
  • Translate Text Between Languages by Using Azure AI Translator [Guided] [A1102-007]
  • Generate Image Descriptions from Text [Guided] [A1102-008]
  • Build an AI-Powered Search System by Using Azure AI Search [Guided] [A1102-009]
  • Analyze and Generate Text-Based Sentiment by Using Azure AI Services [Guided] [A1102-010]
  • Configure AI Prompts by Using Company Data [Guided] [AAI-002]
  • Creating a Chatbot from a Custom AI Prompt [Guided] [AAI-003]
  • Build Open AI Solutions Resources by Using Azure AI Studio [Guided] [AAI-004]
• Tips & Tricks