Intro to Artificial Intelligence on Microsoft Azure
Master AI fundamentals on Microsoft Azure, including ML, computer vision, NLP, and ethical AI, to prepare for the AI-900 certification exam.
Master AI fundamentals on Microsoft Azure, including ML, computer vision, NLP, and ethical AI, to prepare for the AI-900 certification exam.
This comprehensive introductory course provides everything you need to get started with Artificial Intelligence on Microsoft Azure. You'll learn key AI concepts including machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. The course explores how Azure services enable solutions that once seemed like science fiction, from healthcare advances to environmental protection. You'll also examine the principles of responsible AI to understand ethical challenges in AI development. Designed for both technical and non-technical backgrounds, this course helps prepare you for the AI-900 Microsoft Azure AI Fundamentals certification exam. It serves as the foundation for other Azure role-based certifications like Data Scientist Associate or AI Engineer Associate. No data science or software engineering experience is required, though basic programming knowledge is beneficial.
Instructors:
English
Қазақша, Deutsch, हिन्दी, 18 more
Powered by
What you'll learn
Identify key AI concepts and common AI workloads on Microsoft Azure
Understand the principles and practices of responsible AI
Explore machine learning fundamentals and anomaly detection
Learn computer vision capabilities and image analysis techniques
Discover natural language processing functionality and applications
Experience conversational AI and how it powers intelligent bots
Skills you'll gain
This course includes:
0.5 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There is 1 module in this course
This introductory course provides a comprehensive foundation in Artificial Intelligence on Microsoft Azure. Students learn key AI concepts and workloads including machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. The curriculum includes practical exercises where students use Azure services to analyze images, build language understanding models, and interact with healthcare bots. The course also covers the crucial principles of responsible AI, helping students understand the ethical considerations and best practices for developing AI solutions. Designed for beginners, this course prepares students for the AI-900 Microsoft Azure AI Fundamentals certification exam.
Artificial Intelligence workloads and considerations
Module 1 · 3 Hours to complete
Fee Structure
Instructor
Empowering Individuals and Organizations Through Technology
Microsoft's mission is "to empower every person and every organization on the planet to achieve more," reflecting its commitment to leveraging technology for global empowerment. The company aims to drive digital transformation through an integrated cloud approach, creating a robust platform that enhances productivity and accessibility for users worldwide. Its vision statement emphasizes the goal of democratizing artificial intelligence, ensuring that AI technologies are accessible and beneficial for everyone. This focus on empowerment and inclusivity underpins Microsoft's strategies and product development, positioning it as a leader in innovation within the technology sector. The company has consistently pursued excellence by fostering a culture of innovation, diversity, and corporate social responsibility, ultimately aiming to improve quality of life and facilitate progress across various fields, including education, healthcare, and business.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.