Azure AI for Developers: AI Design Foundations

52mBeginner2025-02-04

Authors

Marco Casalaina

Course details

This course serves as a foundational introduction to core AI concepts and solutions. Instructor Marco Casalaina provides beginner-level coverage of LLMs, LLMOps, multimodal AI, AI agents, and responsible AI, giving you an overview of the essentials of each and touching on their key features and functionalities. This course is an ideal fit for Azure developers and cloud engineers looking for an introduction to these important concepts before diving deeper into Azure AI workloads and solutions.

Learning objectives
Apply safety and ethics within your AI app builds.
Conduct tests and evaluations within LLMOps.
Identify how to integrate speech and vision.
Define AI agents and their functionalities.

Skills covered

Azure AI ServicesNatural Language Processing (NLP)Introduction toGenerative AISoftware Development ToolsArtificial Intelligence (AI)MicrosoftSoftware Development

Concepts

0. Introduction

01 - What this course is about
02 - Prerequisites

1. Understanding Large Language Models

03 - Introduction to large language models (LLMs)
04 - Choosing the right model

2. Grounding LLMs to Data

05 - How data grounding works
06 - Embeddings and vector search
07 - Connecting to structured data sources
08 - Preventing hallucination

3. Introduction to LLMOps

09 - Running pilots with real users
10 - Evaluating your AI
11 - Monitoring your AI

4. Ensuring the Safe and Responsible Operation of Your AI

12 - Responsible AI concerns and their mitigations
13 - User experience and system prompt design
14 - Content safety

5. Multimodal AI

15 - Introduction to multimodal AI
16 - Allowing your AI to speak
17 - Enabling your AI to see
18 - General purpose models vs. task-specific models

6. Introduction to AI Agents

19 - What is an AI agent
20 - Single agent vs. multiple agents

Conclusion

21 - Learning more