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AI-900
Microsoft Certified Azure AI Fundamentals
Clint Bonnett
Clint Bonnett
Hello, Cloud Gurus, and welcome to AI-900: Microsoft Certified Azure AI Fundamentals! Throughout this course, we’ll explore artificial intelligence and prepare you for the AI-900 certification exam in several ways. First, we’ll break down each section of the exam and take a look at their various components ranging from machine learning to image examination and language processing. From there, you’ll have a chance to get hands-on with a variety of labs designed to help reinforce what we’re learning in that section! Upon completion of the course, you’ll have a good understanding of artificial intelligence on Azure and be prepared to take the AI-900 exam! To be successful in this course, you should have 0-6 months of Azure experience and a basic understanding of cloud concepts. Don’t worry if you haven’t worked with code before, as the labs in this course are designed to require no coding skills. We hope to see you in the course, Gurus!
Register for this course and see more details by visiting:
OpenCourser.com/course/x4q3a9/ai
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Well-suited for those preparing for the AI-900 certification exam
Provides a hands-on approach through labs to reinforce concepts
Appropriate for beginners with limited Azure experience and no coding skills
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AI-900: Microsoft Certified Azure AI Fundamentals.
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Career center
Learners who complete AI-900: Microsoft Certified Azure AI Fundamentals will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are responsible for extracting insights from data to support decision-making. This course provides a foundation in the fundamentals of Azure AI, including machine learning, image recognition, and natural language processing. By gaining these skills, learners can enhance their ability to analyze and interpret data, identify trends, and communicate insights to stakeholders. This course is highly recommended for aspiring and current Data Analysts seeking to leverage AI technologies to excel in their roles.
Data Scientist
Data Scientist
Data Scientists are at the forefront of developing and implementing artificial intelligence solutions. By mastering the fundamentals of Azure AI, as taught in this course, learners will enhance their ability to model and interpret data, build and deploy machine learning models, and interpret the results to drive informed decision-making. This course provides a solid foundation for aspiring and current Data Scientists looking to advance their careers in the AI domain.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers play a pivotal role in designing, developing, and deploying machine learning systems. This course equips learners with the knowledge and skills necessary to build and maintain machine learning solutions on Azure. Through hands-on labs, they will gain experience in data preparation, model training, and model deployment. By completing this course, learners will be well-positioned to pursue a career as a Machine Learning Engineer and contribute to the development of cutting-edge AI applications.
AI Engineer
AI Engineer
AI Engineers are highly specialized professionals who design, develop, and maintain AI systems. This course provides a solid foundation in the core concepts of Azure AI, including machine learning, computer vision, and natural language processing. Through hands-on labs, learners will gain experience in building and deploying AI solutions on Azure. This course is tailored for individuals aspiring to become AI Engineers or advance their careers in AI development.
Cloud Architect
Cloud Architect
Cloud Architects are responsible for designing, building, and managing cloud-based solutions. This course provides a comprehensive overview of Azure AI services and their applications. By understanding how to leverage AI capabilities on Azure, learners can design and implement cloud architectures that are intelligent, scalable, and secure. This course is ideal for Cloud Architects who want to expand their expertise in AI and drive innovation within their organizations.
Software Engineer
Software Engineer
Software Engineers responsible for developing and maintaining software applications can benefit from this course by gaining a foundational understanding of Azure AI services. By incorporating AI capabilities into their applications, learners can enhance their functionality, improve user experience, and drive innovation. This course provides a practical approach to integrating Azure AI into software development, making it valuable for Software Engineers looking to stay ahead in the rapidly evolving tech landscape.
Business Analyst
Business Analyst
Business Analysts play a crucial role in bridging the gap between business requirements and technical solutions. This course provides Business Analysts with an understanding of the potential of Azure AI in driving business value. By learning about machine learning, image recognition, and natural language processing, learners can effectively collaborate with technical teams to design and implement AI-powered solutions that meet business objectives.
Project Manager
Project Manager
Project Managers responsible for overseeing AI projects can benefit from this course by gaining a comprehensive understanding of Azure AI services and their applications. By learning about the capabilities and limitations of AI technologies, learners can effectively plan, execute, and deliver AI projects that meet stakeholder expectations. This course provides Project Managers with the knowledge and skills to navigate the complexities of AI development and ensure project success.
IT Manager
IT Manager
IT Managers responsible for overseeing IT infrastructure and services can benefit from this course by gaining a foundational understanding of Azure AI services. By learning about the potential of AI in IT operations, learners can make informed decisions about adopting AI solutions to improve efficiency, reduce costs, and enhance security. This course provides IT Managers with the knowledge and skills to evaluate, implement, and manage Azure AI services within their IT environments.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines and infrastructure. This course provides Data Engineers with an overview of Azure AI services and their role in data management. By understanding how to leverage AI capabilities for data processing, transformation, and analysis, learners can build more efficient and intelligent data pipelines. This course may be beneficial for Data Engineers looking to expand their skillset and contribute to the development of AI-driven data solutions.
Product Manager
Product Manager
Product Managers responsible for developing and managing AI-powered products can benefit from this course by gaining a comprehensive understanding of Azure AI services and their applications. By learning about the capabilities and limitations of AI technologies, learners can effectively design and deliver AI products that meet market needs. This course provides Product Managers with the knowledge and skills to navigate the complexities of AI development and ensure product success.
Technical Writer
Technical Writer
Technical Writers responsible for documenting AI technologies and solutions can benefit from this course by gaining a foundational understanding of Azure AI services. By learning about the capabilities and limitations of AI technologies, learners can effectively create clear and concise technical documentation that supports users and developers. This course provides Technical Writers with the knowledge and skills to translate complex AI concepts into accessible language, ensuring the successful adoption and utilization of AI solutions.
Sales Engineer
Sales Engineer
Sales Engineers responsible for selling AI solutions can benefit from this course by gaining a comprehensive understanding of Azure AI services and their applications. By learning about the capabilities and benefits of AI technologies, learners can effectively communicate the value proposition of AI solutions to potential customers. This course provides Sales Engineers with the knowledge and skills to identify customer needs, demonstrate AI solutions, and overcome objections.
Customer Success Manager
Customer Success Manager
Customer Success Managers responsible for supporting customers using AI solutions can benefit from this course by gaining a foundational understanding of Azure AI services. By learning about the capabilities and limitations of AI technologies, learners can effectively assist customers in implementing, using, and troubleshooting AI solutions. This course provides Customer Success Managers with the knowledge and skills to build strong customer relationships, ensure customer satisfaction, and drive adoption of AI solutions.
Marketing Manager
Marketing Manager
Marketing Managers responsible for developing and executing marketing campaigns for AI products and services can benefit from this course by gaining a foundational understanding of Azure AI services. By learning about the capabilities and benefits of AI technologies, learners can effectively create and deliver marketing campaigns that resonate with target audiences. This course provides Marketing Managers with the knowledge and skills to position AI solutions as valuable and desirable, driving demand and increasing market share.
For more career information including salaries, visit:
OpenCourser.com/course/x4q3a9/ai
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AI-900: Microsoft Certified Azure AI Fundamentals.
Save
Provides a practical guide to using OpenCV, an open-source library for computer vision. It covers topics such as image processing, object detection, and facial recognition, making it a valuable resource for those interested in exploring computer vision applications.
Provides a comprehensive guide to using TensorFlow, an open-source library for deep learning. It covers topics such as building and training neural networks, working with data, and deploying models, making it a valuable resource for those who want to gain practical experience with TensorFlow.
Provides a comprehensive overview of machine learning using Python, covering topics such as data preprocessing, feature engineering, and model evaluation. It valuable resource for those who want to learn how to apply ML techniques to real-world problems using Python.
Provides a comprehensive guide to building and deploying ML systems using Python. It covers topics such as data engineering, model training, and model evaluation, making it a valuable resource for those who want to learn how to develop end-to-end ML solutions.
Provides a practical guide to building and deploying deep learning models. It covers topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks, making it a valuable resource for those who want to gain hands-on experience with deep learning architectures.
Provides a comprehensive introduction to natural language processing (NLP), covering topics such as text classification, sentiment analysis, and machine translation. It useful resource for those who want to gain a solid understanding of NLP techniques and their applications.
Provides a gentle introduction to data science, covering topics such as data cleaning, data visualization, and machine learning. It valuable resource for those who are new to data science and want to learn the basics.
Delves into the core concepts of deep learning, providing a comprehensive overview of the field. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks, making it a valuable resource for those interested in exploring deep learning in more depth.
Provides a comprehensive overview of the mathematical foundations of machine learning, covering topics such as linear algebra, probability theory, and optimization. It valuable resource for those who want to gain a deeper understanding of the theoretical underpinnings of ML.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/x4q3a9/ai
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Time
1320 hours
Level
Intermediate
Via
Pluralsight
Instructor
Clint Bonnett
Language
English
Good to know
Well-suited for those preparing for the AI-900 certification exam
Provides a hands-on approach through labs to reinforce concepts
Appropriate for beginners with limited Azure experience and no coding skills
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