Microsoft Azure AI Fundamentals Certification Course (A1-900) Course Overview:
This Microsoft Azure AI Fundamentals Certification Course (A1-900) is designed to help students excel in the Microsoft Azure AI Fundamentals Certification (AI-900) exam and achieve a score of over 700. This program is specifically curated to provide aspiring data scientists with the foundational knowledge and skills required to understand and leverage Azure AI services effectively. By the end of this training, you will be equipped with the necessary expertise to pass the AI-900 exam and demonstrate your proficiency in Azure AI fundamentals.
Microsoft Azure AI Fundamentals Certification Course (A1-900) Outline:
Module 1: Introduction to Azure AI Fundamentals
- Overview of Azure AI and its applications
- Understanding the role of AI in modern technology
- Introduction to Azure AI services and tools
- Overview of the AI-900 exam structure and objectives
Module 2: Machine Learning and Data Science Basics
- Fundamentals of machine learning and data science
- Understanding supervised and unsupervised learning
- Introduction to feature engineering and model evaluation
- Exploring Azure Machine Learning service
Module 3: Azure Cognitive Services
- Introduction to Azure Cognitive Services
- Understanding vision, speech, and language services
- Implementing computer vision solutions with Azure
- Utilizing speech recognition and natural language processing capabilities
Module 4: Azure Bot Service
- Introduction to Azure Bot Service
- Designing and implementing conversational bots
- Utilizing Azure Bot Service for chatbot development
- Deploying and managing bots on various channels
Module 5: Azure AI Services for Decision Support
- Introduction to Azure AI services for decision support
- Implementing recommendation systems using Azure tools
- Understanding anomaly detection and time series forecasting
- Leveraging Azure services for personalized user experiences
Module 6: Responsible AI Practices and Ethical Considerations
- Principles of responsible AI and ethical considerations
- Exploring fairness, transparency, and accountability in AI
- Implementing fairness and mitigating bias in AI systems
- Understanding privacy and data protection in AI application
- Become Job Ready
- Become an expert in the field.
- Increase earning potential.
Microsoft Azure AI Fundamentals Certification Course (A1-900) Fees & Dates for Upcoming Classroom Classes In 2024
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