- • AWS data sources (S3, Kinesis, RDS, DynamoDB)
- • Data ingestion pipelines (Glue, Athena, Lake Formation)
Course Includes:
- Price: $
- Duration: 8 weeks
- Enrolled: 950+ students
- Language: English
- Certificate: Yes Buy Now
The landscape of software development is shifting. The focus is no longer solely on building monolithic, standalone applications but on creating intelligent, integrated, and scalable solutions that leverage the power of existing cloud platforms. For developers, Microsoft 365 represents one of the most powerful and extensive platforms available today. "Building Applications and Solutions with Microsoft 365 Core Services" is not just a course; it's a comprehensive blueprint for modern developers to harness this potential.
Before building, one must understand the foundation. Microsoft 365 Core Services are the building blocks provided by Microsoft that extend the functionality of the standard productivity suite. They are the APIs, frameworks, and endpoints that allow developers to read, write, and interact with data and processes within the M365 ecosystem.
This goes far beyond simple integrations. These services include the Microsoft Graph API, which acts as the single gateway to a wealth of data in Microsoft 365, Windows, and Enterprise Mobility + Security. It also encompasses SharePoint Framework (SPFx) for modern web parts and extensions, Azure Active Directory for identity and access management, and Power Platform connectors for rapid solution development. Mastering these services means you can build applications that feel native to the Microsoft 365 environment.
At the heart of building with Microsoft 365 is Microsoft Graph. Think of it as the central nervous system for your applications. Instead of learning individual APIs for Outlook, SharePoint, Teams, and Planner, Microsoft Graph provides a unified REST API endpoint to access them all.
Through Learn Path Academy's focused curriculum, developers learn to leverage Microsoft Graph to:
Building with Microsoft Graph transforms your application from an external tool into an intelligent extension of the user's daily digital workspace.
For solutions that need to live directly within the SharePoint or Teams interface, the SharePoint Framework is the definitive tool. SPFx is a page and web part model that provides full support for client-side development, easy integration with Microsoft Graph, and support for open-source tools like React, Angular, and Vue.js.
This module empowers developers to build:
In the modern cloud-first world, security is not an afterthought; it's the first step. Every application built on Microsoft 365 must adhere to strict security and compliance standards. This is where Azure Active Directory (Azure AD) comes in.
The course delves into implementing robust authentication and authorization using Azure AD. Developers learn to:
True modern development understands that code is not always the answer. The Microsoft Power Platform (Power Apps, Power Automate, Power BI) offers a powerful low-code/no-code avenue for rapid solution development.
This section explores how professional developers can extend and augment the Power Platform by:
Building Applications and Solutions with Microsoft 365 Core Services" is designed for the developer who aims to be relevant, efficient, and impactful. It’s about moving beyond siloed code and learning to build deeply integrated, secure, and intelligent solutions that leverage the immense investment organizations have made in the Microsoft Cloud. By mastering these core services, you transition from a coder to a strategic solution builder, capable of delivering immense value right where users already work and collaborate. Learn Path Academy provides the structured path to acquire this critical and highly sought-after skillset.
The AWS Certified Machine Learning – Specialty certification validates expertise in designing, implementing, and optimizing machine learning (ML) solutions on AWS. This course prepares professionals for the exam by covering data engineering, ML model development, deployment, and operational best practices using AWS AI/ML services.
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