Microsoft Course: Get started with Azure AI Services
Build Ethical AI Solutions with Azure AI Services
- Design and deploy secure AI solutions using Azure services
- Monitor and troubleshoot AI resource performance
- Containerize AI models for flexible deployment
- Implement content safety tools to filter harmful material
- 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 Get started with Azure AI Services course Outline
Learn the Get started with Azure AI Services
Ready to harness the power of enterprise-grade AI? Dive into Microsoft's "Get Started with Azure AI Services" course – your 5-hour roadmap to building smarter apps! From provisioning secure AI tools to deploying ethical content filters, this training covers everything developers need to innovate responsibly. Includes hands-on labs, free cloud resources, and certification prep. Start transforming ideas into intelligent solutions today!
Start your journey today:
Course Structure Includes:
Module 1: Plan AI Solutions (1 hr) – Strategy, resource identification, and team workflows.
Module 2: Create/Consume AI Services (42 min) – API integration and usage.
Module 3: Secure AI Services (42 min) – Data privacy and compliance.
Module 4: Monitor AI Services (42 min) – Performance tracking and troubleshooting.
Module 5: Deploy via Containers (49 min) – Docker-based AI model hosting.
Module 6: Responsible AI with Content Safety (70 min) – Detecting harmful text/images.
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 Azure AI Services in 5 hours! Learn to deploy, secure, and monitor AI solutions – including containerization and content safety tools. Perfect for developers scaling intelligent apps.
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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