What you'll get
- 3+ Hours
- 1 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Introduces fundamental machine learning concepts within the Microsoft Azure environment, aligned with the AI-900 certification framework.
- Explains core computer vision workloads on Azure as defined in the AI-900 exam objectives.
- Builds foundational knowledge of artificial intelligence, machine learning, and the Azure services that enable them.
- Reviews common AI and machine learning use cases with guidance on Azure-based implementation.
- Covers AI-specific workloads and decision factors relevant to the AI-900 assessment.
- Introduces the fundamental Natural Language Processing (NLP) capabilities offered within the Azure platform.
- Introduces conversational AI workloads and their role within the Azure AI ecosystem.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| AI-900 MS Azure AI Fundamentals | 2h 8m | ✔ | View Curriculum |
Description
This course is designed to prepare learners for the Microsoft Azure AI Fundamentals (AI-900) certification by delivering a strong foundation in artificial intelligence and machine learning concepts as they apply to Azure. The curriculum closely aligns with the official exam objectives, ensuring participants gain skills that are both certification-focused and industry-relevant.
Participants gain exposure to diverse AI workloads, including machine learning, computer vision, natural language processing, generative AI, and conversational AI. Emphasis is placed on understanding how Azure services support these workloads and how they are applied in real-world business scenarios.
Created to support beginners and seasoned professionals alike, the course provides a foundational understanding of Azure AI solutions while enabling progression toward advanced roles such as Azure Data Engineer or Data Analyst. As cloud adoption continues to accelerate, this program helps address the growing demand for professionals with foundational AI and cloud expertise.
Goals
- Establish a solid understanding of AI and machine learning concepts in the Azure ecosystem.
- Prepare learners to attempt and pass the Microsoft AI-900 certification exam confidently.
- Enable participants to identify appropriate Azure AI services for different workloads.
- Support career entry or transition into cloud, data, and AI-related roles.
Objectives
By the end of this course, learners will be able to:
- Describe common AI workloads and the considerations involved in selecting Azure solutions.
- Explain machine learning concepts and how they are implemented using Azure services.
- Identify Azure tools used for computer vision and image analysis.
- Develop a foundational understanding of Natural Language Processing and AI-driven text solutions.
- Recognize the components of generative AI and conversational AI workloads on Azure.
- Relate AI-900 exam topics to practical, real-world use cases.
Highlights
- Aligned with the latest Microsoft AI-900 exam objectives.
- Covers machine learning, computer vision, NLP, generative AI, and conversational AI.
- Beginner-friendly approach with clear explanations of technical concepts.
- Focus on real-world Azure AI use cases.
- Ideal foundation for advanced Azure data and AI certifications.
- Developed in alignment with today’s industry needs and market expectations.
Requirements
- Learners can begin the course without any prior background in machine learning or artificial intelligence.
- Basic familiarity with cloud concepts is helpful but not mandatory.
- Learners should be willing to dedicate time to study and hands-on practice.
Target Audience
- IT professionals planning to take the Microsoft Azure AI Fundamentals (AI-900) certification.
- Beginners seeking an introduction to AI and machine learning on Azure.
- Cloud practitioners, developers, and data professionals are expanding their AI knowledge.
- Students or career switchers exploring opportunities in cloud and AI technologies.
FAQ
Q1: Is this course suitable for beginners?
Yes. The program is structured to support learners who have minimal or no background in AI or machine learning.
Q2: Does this course fully cover the AI-900 exam syllabus?
Yes. All major topics outlined in the Microsoft AI-900 exam objectives are included.
Q3: Will this course help with career growth?
Yes. It provides foundational AI and Azure knowledge that is valuable for multiple cloud and data-related roles.
Q4: Is hands-on practice included?
The course emphasizes practical understanding and encourages learners to apply Azure AI concepts actively.
Q5: What roles benefit most from this course?
Aspiring cloud engineers, data analysts, AI enthusiasts, and IT professionals benefit significantly.
Career Benefits
- Builds a strong foundation in AI and machine learning within the Azure platform.
- Enhances employability in cloud, data, and AI-focused roles.
- Supports progression toward advanced certifications such as Azure Data Engineer or Data Analyst.
- Responds to the increasing market need for professionals skilled in foundational cloud-based AI concepts.
- Helps learners stand out with in-demand Azure AI knowledge recognized by employers.
