Course description

Course Overview:

The "Azure AI Fundamentals Certification (AI-900)" course is designed to provide a comprehensive introduction to artificial intelligence (AI) and how it is implemented using Microsoft Azure. This course covers key AI concepts, Azure AI services, and solutions through engaging lectures and hands-on labs. Participants will explore fundamental AI principles, machine learning models, and cognitive services offered by Azure. By the end of the course, you will be well-prepared to take the AI-900 certification exam, demonstrating your understanding of AI fundamentals and Azure's AI capabilities.

Key Learning Objectives:

1. Understand AI Concepts: Develop a foundational understanding of AI concepts, including machine learning, deep learning, and AI principles.
2. Explore Azure AI Services: Learn about key Azure AI services such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services.
3. Implement AI Solutions: Gain practical skills in designing and implementing AI solutions using Azure tools and technologies.
4. Manage AI Workloads: Understand how to manage AI workloads, including deployment, scaling, and monitoring of AI models in Azure.
5. Ethical AI Practices: Learn about the ethical considerations and best practices for developing and deploying AI solutions responsibly.
6. Prepare for the AI-900 Exam: Utilize practice exams and review materials to effectively prepare for the AI-900 certification exam.
7. Apply AI Fundamentals: Build practical skills for applying AI fundamentals in real-world scenarios and use cases.

Requirements:

• A computer with internet access.
• Basic understanding of general IT concepts and cloud computing.
• No prior AI or Azure experience required; suitable for beginners.
• Familiarity with basic computing and internet navigation is helpful.
• Willingness to engage with course materials and hands-on exercises.

Outcomes:

1. Proficiency in AI Concepts: Acquire a solid understanding of AI principles and technologies, including machine learning and deep learning.
2. Knowledge of Azure AI Services: Learn to use Azure AI services for building and deploying AI solutions, including cognitive services and machine learning tools.
3. Implementation Skills: Gain practical experience in designing and implementing AI solutions using Azure technologies.
4. AI Workload Management: Understand how to manage and optimize AI workloads, including deployment and scaling in Azure.
5. Ethical AI Practices: Develop awareness of ethical considerations and best practices in AI development and deployment.
6. Exam Readiness: Build confidence and preparedness for the AI-900 certification exam through practice questions and mock exams.
7. Career Foundation: Establish a strong foundation in AI fundamentals, supporting further specialization and career advancement in AI and cloud computing.

Certification:

Upon successful completion of this course, you will receive a certificate of achievement that verifies your readiness for the Azure AI Fundamentals (AI-900) exam. This certification demonstrates your foundational knowledge of AI concepts and Azure AI services, validating your ability to implement and manage AI solutions using Azure technologies. It is a valuable credential for advancing your career in AI and cloud computing and serves as a stepping stone to more advanced Azure certifications.

What will i learn?

• Proficiency in AI Concepts: Acquire a solid understanding of AI principles and technologies, including machine learning and deep learning.
• Knowledge of Azure AI Services: Learn to use Azure AI services for building and deploying AI solutions, including cognitive services and machine learning tools.
• Implementation Skills: Gain practical experience in designing and implementing AI solutions using Azure technologies.
• AI Workload Management: Understand how to manage and optimize AI workloads, including deployment and scaling in Azure.
• Ethical AI Practices: Develop awareness of ethical considerations and best practices in AI development and deployment.