Microsoft Course: Develop generative AI apps in Azure AI Foundry
Master Generative AI Engineering with Azure AI Foundry: Shape AI That Speaks Your Business.
- Design end-to-end AI architectures using Azure services
- Deploy and optimize models from Azure AI Foundry's catalog
- Build LLM-powered apps with SDK and Prompt Flow
- Implement RAG to enhance responses with custom data
- Evaluate and benchmark generative AI performance
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for more advanced Microsoft certifications in AI
What you will learn
This 7-hour 36-minute learning path empowers developers to build enterprise-grade generative AI solutions using Azure AI Foundry. Covering 8 comprehensive modules, you'll master everything from initial AI solution planning to deploying fine-tuned language models. Learn to implement RAG patterns, optimize prompts with Prompt Flow, ensure responsible AI practices, and evaluate model performance. Ideal for AI engineers and developers, this course blends practical SDK workflows with strategic model management for creating conversational AI apps grounded in your proprietary data.
Microsoft's Develop generative AI apps in Azure AI Foundry course Outline
Learn the Develop generative AI apps in Azure AI Foundry
Microsoft's "Develop Generative AI Apps in Azure AI Foundry" course gives you the blueprint. Through 8 hands-on modules, learn to deploy language models, integrate custom data with RAG, fine-tune LLMs, and implement ethical safeguards – all within Azure's unified AI platform. Whether you're building chatbots or document intelligence systems, this 7.5-hour path delivers battle-tested skills backed by Microsoft’s AI engineering expertise. Start building tomorrow's AI today!
Start your journey today:
Course Structure Includes:
Module 1: AI Solution Planning (1 hr)
- Azure service selection & team workflows
Module 2: Model Deployment (40 min)
- Catalog selection, deployment, and testing
Module 3: SDK Development (55 min)
- Build apps using Azure AI Foundry SDK
Module 4: Prompt Flow (45 min)
- LLM app development via visual workflows
Module 5: RAG Implementation (1h18m)
- Data grounding with custom indexes
Module 6: Model Fine-Tuning (1h23m)
- Customize OSS models for specific tasks
Module 7: Responsible AI (50 min)
- Content safety & ethical guidelines
Module 8: Performance Evaluation (45 min)
- Benchmarking & optimization strategies
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Learn to build custom copilots using Azure AI Foundry – from RAG implementation to model fine-tuning. Master responsible AI practices and performance evaluation for enterprise-ready solutions.
Pre-requisites
Familiarity with fundamental AI concepts and services in Azure.
SPOTO Empowers You to Earn Your Certification.
Benefits of AWS Certified AI Practitioner Certification
Microsoft Certified: Azure AI Fundamentals (AI-900) is an entry-level certification designed to validate foundational knowledge of AI and machine learning concepts, including computer vision, natural language processing (NLP), generative AI, and responsible AI principles. Ideal for both technical and non-technical professionals, it requires no prior coding experience and offers free, flexible learning resources via Microsoft Learn. The certification enhances career prospects in high-demand roles like AI Engineer or Data Scientist, with potential salary increases up to 20%, while serving as a gateway to advanced Azure certifications (e.g., AI-102). Cost-effective and time-efficient (preparation in 10–30 hours), the exam focuses on real-world applications using Azure Cognitive Services, OpenAI APIs, and Azure Machine Learning. With permanent validity and global recognition across 90+ countries, it equips professionals to drive AI innovation in industries such as healthcare and finance. Start your AI journey with Microsoft Learn today!
Advantages of Using SPOTO's Exam Preparation Materials
SPOTO's study resources provide comprehensive coverage of the exam syllabus, aligning with key topics like ML problem framing, data processing, model optimization, and pipeline automation. The materials include structured learning paths, practice exams, and real-world case studies that mirror the certification's focus on designing, implementing, and deploying machine learning solutions with Microsoft services and ML workflows. By leveraging SPOTO's targeted content, candidates can efficiently bridge knowledge gaps, reinforce practical skills, and gain familiarity with the exam format. This focused preparation increases confidence and readiness, particularly for complex tasks such as deploying CI/CD pipelines or optimizing model performance—areas emphasized in the certification. Combined with hands-on experience, SPOTO's resources offer a strategic advantage for achieving certification success.
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