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Updated in [April 29th, 2023]
This course provides an overview of Microsoft Power Platform, a low-code platform for building powerful and effective solutions. Participants will learn how to create an Android or iOS app with Power Apps, use a datastore to implement app functionality, and create a workflow with Power Automate. Additionally, participants will learn how to implement Azure AI Builder to create intelligent solutions. By the end of the course, participants will have the skills to build powerful and effective solutions with ease.
[Applications]
Upon completion of this course, students will be able to apply their knowledge of the Microsoft Power Platform to create powerful and effective solutions. They will be able to build an Android or iOS app with Power Apps, use a datastore to implement app functionality, create a workflow with Power Automate, and implement Azure AI Builder. Additionally, students will be able to use the Microsoft Power Platform to create data analytics solutions, automate processes, and create AI-driven solutions.
[Career Paths]
1. Power Platform Developer: Power Platform Developers are responsible for designing, developing, and deploying applications using the Microsoft Power Platform. They must have a strong understanding of the Power Platform, including Power Apps, Power Automate, and Azure AI Builder. They must also be able to create custom solutions for clients, and be able to troubleshoot and debug any issues that arise. As the demand for low-code solutions continues to grow, the need for Power Platform Developers is expected to increase.
2. Power Platform Consultant: Power Platform Consultants are responsible for helping clients understand the capabilities of the Power Platform and how to best utilize it for their needs. They must have a strong understanding of the Power Platform, including Power Apps, Power Automate, and Azure AI Builder. They must also be able to provide guidance on how to best use the platform to create custom solutions for clients. As the demand for low-code solutions continues to grow, the need for Power Platform Consultants is expected to increase.
3. Power Platform Architect: Power Platform Architects are responsible for designing and developing solutions using the Microsoft Power Platform. They must have a strong understanding of the Power Platform, including Power Apps, Power Automate, and Azure AI Builder. They must also be able to create custom solutions for clients, and be able to troubleshoot and debug any issues that arise. As the demand for low-code solutions continues to grow, the need for Power Platform Architects is expected to increase.
4. Power Platform Administrator: Power Platform Administrators are responsible for managing and maintaining the Power Platform. They must have a strong understanding of the Power Platform, including Power Apps, Power Automate, and Azure AI Builder. They must also be able to configure and deploy the platform, and be able to troubleshoot and debug any issues that arise. As the demand for low-code solutions continues to grow, the need for Power Platform Administrators is expected to increase.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and data structures. Students will also learn about the latest technologies and trends in the field, such as artificial intelligence, machine learning, and cloud computing.
2. Bachelor of Science in Information Technology: This degree path focuses on the development and management of information systems, networks, and databases. Students will learn about the latest technologies and trends in the field, such as cloud computing, big data, and cybersecurity.
3. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. Students will learn about the latest technologies and trends in the field, such as machine learning, artificial intelligence, and natural language processing.
4. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and algorithms. Students will learn about the latest technologies and trends in the field, such as deep learning, computer vision, and natural language processing.