Microsoft Azure AI Fundamentals: AI Overview
Azure AI Essentials: Learn, Build, Certify with Azure.
- Master core AI concepts
- Understand generative AI workflows
- Build practical skills
- Use Azure AI services to create solutions
- Prepare for certification
- Leverage Azure tools
- 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
Microsoft Azure AI Fundamentals: AI Overview is a beginner-friendly course designed to demystify artificial intelligence and its practical applications using Microsoft Azure. Structured into four modules, it covers foundational AI concepts like generative AI, computer vision, and natural language processing, while introducing Azure's AI services for real-world solutions such as automated machine learning (AutoML) and responsible AI practices. The course includes hands-on labs (e.g., exploring Azure Machine Learning Studio) and aligns with the AI-900 certification exam, making it ideal for developers, business analysts, and non-technical professionals seeking to validate their AI skills.
Microsoft's Microsoft Azure AI Fundamentals: AI Overview course Outline
Learn the Microsoft Azure AI Fundamentals: AI Overview
Want to break into AI but unsure where to start? Microsoft's Azure AI Fundamentals course offers a no-code gateway to generative AI, computer vision, and NLP—all on Azure's trusted platform. With free hands-on labs and AI-900 exam prep, it's perfect for developers, managers, and career-changers. Start your AI journey today and earn a certification that 87% of hiring managers prioritize!
Start your journey today:
Course Structure Includes:
Module 1: Fundamental AI Concepts
Generative AI basics, computer vision use cases (e.g., object detection), and responsible AI frameworks.
Module 2 & 3: Machine Learning Foundations
Regression, classification (binary/multiclass), clustering, and deep learning with Transformers.
Hands-on lab: AutoML in Azure Machine Learning Studio to train models without coding.
Module 4: Azure AI Services
Provisioning AI resources (e.g., Content Safety Studio), authentication via API keys, and integrating services into apps.
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 AI fundamentals on Azure: Explore generative AI, ML workflows, and Azure services. Prep for AI-900 certification with hands-on labs—no prior coding needed!
Pre-requisites
None
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.
Online Learning Community
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