Microsoft Course: Develop Generative AI solutions with Azure OpenAI Service
Build Next-Gen AI with Azure OpenAI Service
- Build applications using GPT and embeddings models
- Ground AI responses in custom data with RAG techniques
- Generate images from text prompts using Azure's AI tools
- Optimize prompts for code generation and contextual accuracy
- Integrate Azure OpenAI into apps via APIs and SDKs
- Align with industry
- 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 5-hour Microsoft Learn course provides a comprehensive foundation for working with Azure AI Services. Designed for developers and cloud professionals, it guides you through provisioning, securing, monitoring, and deploying AI solutions using Microsoft's cloud-based tools. Learn to integrate pre-built AI capabilities into applications, implement ethical safeguards, and optimize deployments via containers. The path culminates with hands-on training in Azure AI Content Safety to detect harmful content responsibly.
Microsoft's Develop Generative AI solutions with Azure OpenAI Service course Outline
Learn the Develop Generative AI solutions with Azure OpenAI Service
Unlock the power of generative AI! Microsoft's "Develop Generative AI Solutions with Azure OpenAI Service" course teaches you to harness GPT models, RAG, and image generation in just 2 hours. Perfect for developers, it includes hands-on labs for coding, data integration, and creative AI – no machine learning PhD needed! Start building tomorrow's intelligent apps today!
Start your journey today:
Course Structure Includes:
Module 1: Azure OpenAI Basics (62 min)
- API/SDK integration, prompt engineering, code generation
- 20-minute hands-on exercise
Module 2: RAG Implementation (38 min)
- Custom data grounding, chat model optimization
- 25-minute practical lab
Module 3: AI Image Generation (33 min)
- Text-to-image models, client app development
- 20-minute creative exercise
All modules include assessments and summaries.
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
Master GPT, RAG, and AI image generation in 2 hours! Learn prompt engineering, custom data integration, and app development using Azure OpenAI. Includes coding labs for real-world solutions.
Pre-requisites
Familiarity with Azure and the Azure portal.
Experience programming with C# or Python.
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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