What will you learn in Microsoft Azure AI Fundamental Certification Course
Grasp core AI and machine learning concepts on Microsoft Azure.
Explore Azure Cognitive Services for vision, speech, language, and decision-making.
Build and train simple machine learning models using Azure ML studio.
Implement computer vision solutions with Azure’s Vision APIs.
Utilize language services for text analytics, translation, and conversational AI.
Prepare for the Microsoft Azure AI Fundamentals (AI-900) certification exam.
Program Overview
Module 1: Introduction to Azure AI Fundamentals
⏳ 1 hour
Topics: Cloud basics, AI-900 exam objectives, Azure AI service overview.
Hands-on: Navigate the Azure portal, create a free AI resource group.
Module 2: Computer Vision Services
⏳ 1.5 hours
Topics: Image classification, object detection, OCR, custom vision.
Hands-on: Build an image-recognition app using the Custom Vision studio.
Module 3: Natural Language Processing
⏳ 1.5 hours
Topics: Text analytics, language understanding (LUIS), translator, QnA Maker.
Hands-on: Deploy a sentiment-analysis pipeline and a simple Q&A chatbot.
Module 4: Speech and Conversational AI
⏳ 2 hours
Topics: Speech-to-text, text-to-speech, speech translation, conversational bots.
Hands-on: Create a voice-enabled bot with Azure Bot Service.
Module 5: Azure Machine Learning Studio
⏳ 2 hours
Topics: Automated ML, drag-and-drop pipelines, model interpretability.
Hands-on: Train and deploy a regression model using Automated ML.
Module 6: Responsible AI and Governance
⏳ 1 hour
Topics: Fairness, transparency, privacy, compliance in AI solutions.
Hands-on: Apply built-in Responsible AI dashboard to assess bias.
Module 7: Exam Preparation & Best Practices
⏳ 1.5 hours
Topics: Key exam topics, sample questions, study tips.
Hands-on: Practice AI-900 mock exam and review detailed answers.
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Job Outlook
Azure AI Fundamentals certification is an entry point to roles such as AI Engineer, Data Analyst, and Cloud Developer.
Average starting salaries range from $70K–$95K USD for certified professionals.
Demand is growing in industries adopting AI solutions—healthcare, finance, retail, and government.
Certification validates cloud-based AI skills, opening opportunities in consulting and enterprise AI teams.
Specification: Microsoft Azure AI Fundamental Certification Course
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FAQs
- Basic understanding of cloud concepts is helpful but not required.
- The course introduces Azure portal navigation and AI resource setup.
- Step-by-step labs guide learners through Azure Cognitive Services.
- Prior IT or programming knowledge can help but is optional.
- Suitable for beginners aiming to start with cloud-based AI.
- Yes, it covers all key AI-900 exam objectives.
- Includes practice questions and mock exams with detailed answers.
- Teaches core AI, ML, computer vision, NLP, and conversational AI.
- Focuses on both theory and hands-on lab exercises.
- Exam readiness tips and strategies are provided in the final module.
- Yes, hands-on labs cover image recognition, sentiment analysis, and chatbots.
- Students use Azure ML Studio for building simple ML models.
- Speech, text, and language APIs are applied in practical exercises.
- Provides experience in deploying AI solutions in the cloud.
- Labs reinforce learning through end-to-end application building.
- Covers fairness, transparency, privacy, and compliance in AI solutions.
- Teaches how to use Azure’s Responsible AI dashboard for bias assessment.
- Provides practical examples for implementing responsible AI.
- Helps learners understand governance principles for enterprise AI.
- Essential for AI projects in regulated industries like finance or healthcare.
- Entry-level roles include AI Engineer, Data Analyst, and Cloud Developer.
- Certification demonstrates cloud-based AI expertise to employers.
- Growing demand in healthcare, finance, retail, and government sectors.
- Average starting salaries range from $70K–$95K USD.
- Strengthens resume for consulting and enterprise AI team opportunities.
