Executive Development Programme in Building Scalable Apps with Microsoft Parallel

This course is designed for senior executives and technical leaders aiming to enhance their strategic understanding of building scalable applications using Microsoft Parallel Computing Platform technologies. Participants will gain insights into leveraging parallel computing to optimize application performance, reduce development time, and scale solutions efficiently.

Graduates of this program will acquire the knowledge to make informed decisions regarding technology choices, implement scalable architectures, and lead cross-functional teams in developing robust, high-performance applications. They will also be equipped to evaluate the business impact of adopting parallel computing strategies in their organizations.

1. 1. Introduction to Scalable Application Architecture: Learners will explore foundational concepts of scalable application architecture, including microservices, API gateways, and load balancers. They will gain the skills to design applications that can handle increasing loads efficiently.
2. 2. Microsoft Azure Fundamentals: This module covers essential Azure services and tools, enabling learners to provision and manage cloud resources effectively. Practical skills include deploying applications, managing storage, and securing data.
3. 3. Building Microservices with .NET Core: Learners will learn to develop microservices using .NET Core, focusing on best practices for designing, building, and testing microservices. They will gain hands-on experience in creating modular, scalable applications.
4. 4. Implementing Azure Functions: This module teaches how to implement serverless computing with Azure Functions, allowing learners to write and deploy small pieces of code that execute in response to triggers. Practical skills include writing, testing, and deploying functions.
5. 5. Advanced Azure Services for Scalability: Learners will delve into advanced Azure services such as Azure Kubernetes Service (AKS), Azure Service Fabric, and Azure Event Grid. They will learn how to scale applications using these services and manage complex architectures.
6. 6. Performance Optimization Techniques: This module covers techniques for optimizing application performance, including caching strategies, database optimizations, and performance monitoring. Learners will gain practical skills in identifying and resolving performance bottlenecks.
7. 7. Security Practices in Scalable Applications: Learners will study security best practices for building scalable applications, including identity and access management, secure coding practices, and threat mitigation strategies. They will learn how to implement secure and reliable applications.
8. 8. Building Scalable Data Pipelines: This module focuses on designing and building scalable data pipelines using Azure Data Factory and related services. Learners will gain skills in data integration, transformation, and analytics at scale.
9. 9. CI/CD Pipelines for Scalable Apps: Learners will learn to set up continuous integration and continuous deployment (CI/CD) pipelines for scalable applications using Azure DevOps. They will gain hands-on experience in automating the deployment process.
10. 10. Case Studies and Best Practices: In this final module, learners will analyze real-world case studies of scalable applications built on Microsoft platforms. They will learn best practices and insights from industry experts to apply in their own projects.