ΠΕΡΙΓΡΑΦΗ

This course covers the core principles of artificial intelligence and explores the specific Microsoft Azure services used to build AI-driven solutions. By blending conceptual knowledge with practical technical skills, it establishes the essential foundation required for a successful career in AI implementation on the Azure platform.

ΣΚΟΠΟΣ ΣΕΜΙΝΑΡΙΟΥ

COURSE OBJECTIVES

• Experience using computers and the internet
• Interest in AI workloads and applications
• A basic understanding of math (interpreting charts, simple probability)
• Familiarity with fundamental programming concepts (helpful but not required)

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

This course is designed for entry-level technology professionals looking to build a career in AI solution development. While not mandatory, a foundational understanding of Python syntax and basic programming logic is highly beneficial. We also recommend that learners are familiar with core cloud concepts, specifically cloud storage, compute resources, and standard identity and access management (IAM).

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

• Generative AI and agents
• Text and natural language
• Speech
• Computer vision
• Information extraction
• Responsible AI
• Module assessment

• Large language models (LLMs)
• Prompts
• AI agents
• Module assessment

• Tokenization
• Statistical text analysis.
• Semantic language models
• Module assessment

• Speech-enabled solutions
• Speech recognition
• Speech synthesis
• Module assessment

• Computer vision tasks and techniques
• Images and image processing
• Convolutional neural networks
• Vision transformers and multimodal models
• Image generation
• Module assessment

• Overview of information extraction
• Optical character recognition (OCR)
• Field extraction and mapping
• Module assessment

• Understand Azure
• Developing AI apps on Azure
• Microsoft Foundry for AI
• Using Microsoft Foundry endpoints

• Generative AI models
• Using a generative AI model
• Creating an agent

• Azure Language
• Azure Language SDK
• Azure Language MCP
• Module assessment

• Speech recognition
• Speech synthesis
• Creating a speech-capable agent
• Module assessment

• Multimodal models for image analysis
• Image generation models
• Video generation models
• Module assessment

• Extract information from documents
• Extract information from audio and video
• Module assessment