IT Project Management

IT Project Management

Introduction to IT project management in an organization utilizing both traditional waterfall approach Agile methodologies including Scrum. Phases of a project including project initiation, planning, execution, and closure. Topics include understanding organization's culture strategy, project selection, project manager competencies, roles & responsibilities, tools, WBS, budgeting, resources, risk management, monitoring progress and project closure & evaluation.

Cloud Computing

Cloud Computing

Introduction to the concept of Cloud Computing and how it is transforming and evolving the IT industry and the developer ecosystem, as we move away from on-premises to Cloud-based infrastructure and app development platforms. Discussion of Cloud services models including SaaS, PaaS, and IaaS. Understanding primary business considerations for migrating to the Cloud including cost, security, compliance, fault tolerance, backup, disaster recovery and monitoring. Learn about the most popular and consumed Microsoft Azure Cloud IaaS services including deploying, managing and maintaining virtual machines and network infrastructure. PaaS for developing Cloud-based Applications using application platforms, functions and serverless services. Introduction to emerging technologies including Machine Learning, Artificial Intelligence and IoT

Digital Transformation

Digital Transformation using Emerging Technologies

Review Digital Transformation using key emerging technologies, including Cloud Computing, Artificial Intelligence, Cognitive Computing, Machine Learning and IoT to build solutions to help the organizations build new and improved products, services and experiences to transform their business models, generate new revenue streams and stay competitive.

University of Washington - Information School: Server-side Development

Server-side Web Development

Server-side Web development using Python and Django Web framework. Understanding services, tools, protocols, best practices and techniques for implementing data-driven and scalable web applications. Building and using API, learning the fundamentals of Web scraping, deploying authentication systems, and using Azure Cloud with various Linux distributions, Docker Containers and Azure SQL databases to create modern apps.


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