AI-103: Azure AI Apps and Agents Developer Associate

<div>This course contains the use of artificial intelligence.</div><div><br></div><div>AI-103: Azure AI Apps and Agents Developer Associate, is a meticulously structured Udemy course aimed at IT professionals seeking to pass the AI-103 exam. This course systematically walks you through the initial setup to advanced implementation with real-world applications.</div><div><br></div><div>By passing AI-103: Azure AI Engineer Associate, you're gaining proficiency in the highly recognized Microsoft AI ecosystem.</div><div><br></div><div>The course is always aligned with Microsoft's latest study guide and exam objectives:</div><div><br></div><div>Choose the appropriate Foundry services for generative AI and agents</div><div><ul><li>Choose an appropriate model for each task, including large language models (LLMs), small language models, multimodal models, and Foundry Tools</li><li><span style="font-size: 1rem;">Choose the appropriate Foundry services for generative tasks, grounding, vector search, agent workflows, or multimodal processing</span></li><li><span style="font-size: 1rem;">Choose an appropriate method for retrieval and indexing</span></li><li><span style="font-size: 1rem;">Choose appropriate memory, tool, and knowledge integration services for agent solutions</span></li></ul></div><div><span style="font-size: 1rem;">Set up AI solutions in Foundry</span></div><div><ul><li><span style="font-size: 1rem;">Design Azure infrastructure for AI apps and agent-based solutions</span></li><li><span style="font-size: 1rem;">Choose appropriate deployment options</span></li><li><span style="font-size: 1rem;">Configure model and agent deployments</span></li><li><span style="font-size: 1rem;">Integrate Foundry projects with continuous integration and continuous deployment (CI/CD) pipelines</span></li></ul></div><div><span style="font-size: 1rem;">Manage, monitor, and secure AI systems</span></div><div><ul><li><span style="font-size: 1rem;">Manage quotas, scaling, rate limits, and cost footprints for model and agent workloads</span></li><li><span style="font-size: 1rem;">Monitor model performance, drift, safety events, and grounding quality</span></li><li><span style="font-size: 1rem;">Monitor data ingestion quality, search index health, and relevance performance</span></li><li><span style="font-size: 1rem;">Configure security, including managed identity, private networking, keyless credentials, and role policies</span></li></ul></div><div><span style="font-size: 1rem;">Implement responsible AI across generative AI and agentic systems</span></div><div><br></div><div>Configure safety filters, guardrails, risk detection, and content moderation</div><div><ul><li>Apply responsible AI instrumentation, including evaluators, safety evaluations, and explanation tooling</li><li><span style="font-size: 1rem;">Implement auditing through trace logging, provenance metadata, and approval workflows</span></li><li><span style="font-size: 1rem;">Govern agent behavior with oversight modes, constraints, and tool-access controls</span></li><li><span style="font-size: 1rem;">Implement generative AI and agentic solutions (30–35%)</span></li></ul></div><div><span style="font-size: 1rem;">Build generative applications by using Foundry</span></div><div><ul><li><span style="font-size: 1rem;">Deploy and consume LLMs, small models, code models, and multimodal models</span></li><li><span style="font-size: 1rem;">Implement retrieval-augmented generation (RAG) in an application</span></li><li><span style="font-size: 1rem;">Design workflows, tool-augmented flows, and multistep reasoning pipelines</span></li><li><span style="font-size: 1rem;">Evaluate models and apps, including detecting fabrications, relevance, quality, and safety</span></li><li><span style="font-size: 1rem;">Integrate generative workflows into applications by using Foundry SDKs and connectors</span></li><li><span style="font-size: 1rem;">Configure an application to connect to a Foundry project</span></li></ul></div><div><span style="font-size: 1rem;">Build agents by using Foundry</span></div><div><ul><li>Define agent roles, goals, conversation-tracking approach, and tool schemas</li><li><span style="font-size: 1rem;">Build agents that integrate retrieval, function-calling, and conversation memory</span></li><li><span style="font-size: 1rem;">Integrate agent tools, including APIs, knowledge stores, search, content understanding, and custom functions</span></li><li><span style="font-size: 1rem;">Implement orchestrated multi-agent solutions</span></li><li><span style="font-size: 1rem;">Build autonomous or semiautonomous workflows with safeguards and approval flow controls</span></li><li><span style="font-size: 1rem;">Integrate monitoring into deployed agents, evaluate agent behavior, and perform error analysis</span></li></ul></div><div><span style="font-size: 1rem;">Optimize and operationalize generative AI systems</span></div><div><ul><li>Tune generation behavior, such as prompt engineering and adjusting model parameters</li><li><span style="font-size: 1rem;">Implement model reflection, chain-of-thought evaluations, and self-critique loops</span></li><li><span style="font-size: 1rem;">Set up observability by implementing tracing, token analytics, safety signals, and latency breakdowns</span></li><li><span style="font-size: 1rem;">Orchestrate multiple models, flows, or hybrid LLM and rules engines</span></li></ul></div><div><span style="font-size: 1rem;">Implement computer vision solutions (10–15%)</span></div><div><br></div><div>Design and implement image- and video-generation solutions</div><div><ul><li>Implement a solution that generates images from text prompts and reference media</li><li><span style="font-size: 1rem;">Implement a solution that generates videos from text prompts and reference media</span></li><li><span style="font-size: 1rem;">Configure image-editing workflows, including inpainting, mask‑based edits, and prompt‑driven modifications</span></li><li><span style="font-size: 1rem;">Implement workflows to edit generated videos</span></li><li><span style="font-size: 1rem;">Select and apply appropriate generation and editing controls provided by the platform</span></li></ul></div><div><span style="font-size: 1rem;">Design and implement multimodal understanding workflows</span></div><div><ul><li><span style="font-size: 1rem;">Build a solution that analyzes visual context by using multimodal models</span></li><li><span style="font-size: 1rem;">Configure apps to produce concise or detailed captions for single or multiple images</span></li><li><span style="font-size: 1rem;">Implement a solution that enables question‑answering grounded in visual evidence</span></li><li><span style="font-size: 1rem;">Configure generation of alt‑text and extended image descriptions aligned to accessibility guidelines</span></li><li><span style="font-size: 1rem;">Implement visual understanding by configuring Azure Content Understanding in Foundry Tools to extract visual characteristics</span></li><li><span style="font-size: 1rem;">Implement video analysis workflows to process and interpret video segments</span></li><li><span style="font-size: 1rem;">Configure single‑task and pro‑mode Content Understanding pipelines</span></li><li><span style="font-size: 1rem;">Implement solutions that identify objects, components, or regions within images or video</span></li></ul></div><div><span style="font-size: 1rem;">Implement responsible AI for multimodal content</span></div><div><ul><li>Implement filters to classify unsafe or disallowed visual content</li><li><span style="font-size: 1rem;">Detect and mitigate indirect prompt injection by using embedded text in images</span></li><li><span style="font-size: 1rem;">Enforce visual policy rules, such as applying watermarks, flagging prohibited symbols, upholding brand usage requirements, and detecting potentially inappropriate content</span></li></ul></div><div><span style="font-size: 1rem;">Implement text analysis solutions (10–15%)</span></div><div><br></div><div>Apply language model text analysis</div><div><ul><li>Implement solutions to extract entities, topics, summaries, and structured JSON outputs by using generative prompting and Foundry Tools</li><li><span style="font-size: 1rem;">Configure detection of sentiment, tone, safety issues, and sensitive content</span></li><li><span style="font-size: 1rem;">Build solutions that translate text by using Azure Translator in Foundry Tools or LLM‑powered translation flows</span></li><li><span style="font-size: 1rem;">Customize language model outputs for domain tasks, such as compliance summarization and domain extraction</span></li></ul></div><div><span style="font-size: 1rem;">Implement speech solutions</span></div><div><ul><li>Implement workflows to convert speech to text and text to speech for agentic interactions</li><li><span style="font-size: 1rem;">Integrate speech as an agent modality, including custom speech models</span></li><li><span style="font-size: 1rem;">Enable multimodal reasoning from audio inputs</span></li><li><span style="font-size: 1rem;">Translate speech into other languages by using language models and Foundry Tools</span></li></ul></div><div><span style="font-size: 1rem;">Implement information extraction solutions (10–15%)</span></div><div><br></div><div>Build retrieval and grounding pipelines</div><div><ul><li>Ingest and index content, such as documents, images, audio, and video</li><li><span style="font-size: 1rem;">Configure semantic search, hybrid search, and vector search for grounding</span></li><li><span style="font-size: 1rem;">Implement enrichment by using custom or built-in skills for text, images, and layout</span></li><li><span style="font-size: 1rem;">Configure RAG ingestion flow, including documents and using optical character recognition (OCR)</span></li><li><span style="font-size: 1rem;">Connect retrieval pipelines directly to workflows and agent tools</span></li></ul></div><div><span style="font-size: 1rem;">Extract content from documents</span></div><div><ul><li>Extract information by using multimodal pipelines that combine OCR, layout analysis, and field extraction</li><li><span style="font-size: 1rem;">Produce clean, grounded representations to use with agents and RAG by using Content Understanding</span></li><li><span style="font-size: 1rem;">Implement analyzers for generating structured or markdown outputs for downstream reasoning by using Content Understanding</span></li><li><span style="font-size: 1rem;">This course contains promotional materials.</span></li></ul></div>

What you'll learn:

• Select the appropriate Azure AI service
• Plan, create and deploy an Azure AI service
• Manage, monitor, and secure an Azure AI service
• Create solutions for content delivery
• Analyze images
• Implement custom computer vision models by using Azure AI Vision
• Analyze videos
• Analyze text by using Azure AI Language
• Process speech by using Azure AI Speech
• Translate language
• Implement and manage a language understanding model by using Azure AI Language
• Create a custom question answering solution by using Azure AI Language
• Implement an Azure AI Search solution
• Implement an Azure AI Document Intelligence solution
• Use Azure OpenAI Service to generate content
• Optimize generative AI