Azure AI services complete guide - Covers AI-102 Cert

Explore the world of Artificial Intelligence (AI) with this comprehensive course! We'll start with the fundamentals of AI, covering its significance and diving into core concepts like Neural Networks and Large Language Models (LLMs). Learn how to download and run LLMs locally to get hands-on experience.

Next, unlock the power of Azure AI Services. Get hands-on guidance on deploying and utilizing a wide range of services, including:

• Azure AI Vision: Perform advanced image analysis, OCR (Optical Character Recognition), video analysis, and leverage the Face Service.
• Azure AI Content Safety: Effectively detect harmful content in applications and services, protecting your users.
• Azure AI Language: Understand and analyze text with features like Conversational Language Analysis and Custom Question Answering.
• Azure AI Speech: Implement robust speech-to-text and text-to-speech capabilities.
• Azure AI Translator: Build multi-language solutions for global reach.
• Azure AI Document Intelligence: Streamline document processing workflows.
• Azure AI Search: Implement a powerful search-as-a-service solution with full-text search and vector similarity search.
• Azure OpenAI Models: Explore cutting-edge models like ChatGPT, DALL·E, and utilize embeddings for LLMs and image generation.
• Custom AI Model Development: Learn to build custom AI models and containerize services for deployment on on-premises/edge devices.
• MLOps & CI/CD: Automate the deployment and lifecycle management of your AI solutions.
• Fine-tuning OpenAI Models: Adapt models to your specific needs.
• Bring Your Own Data: Integrate your own data sources into AI models.
• Secure Azure AI Services: Manage, monitor, and secure your Azure AI deployments.

After each lesson, test your understanding with a QUIZ to solidify your learning.

Stay ahead with our updated content for 2025! We'll explore:

• Agentic AI Solutions
• Azure AI Foundry: Leverage features like Evaluation, Tracing, Prompt Templates, Prompt Flow, and Model Catalog.
• Semantic Kernel and AutoGen frameworks for building intelligent agents.
• RAG Pattern: Ground models in your data.
• MCP (Model Context Protocol)

Each lesson in this section also includes a QUIZ to reinforce your knowledge.

Finally, prepare for the Azure AI 102 exam! This chapter is specifically designed for Azure AI Associate Certification, including:

• Study guides
• Practice questions with detailed explanations and references to Microsoft Documentation.
• Exam Simulation to build confidence.