Create data flow diagrams, entity-relationship diagrams, and unified modeling language diagrams to visualize data, system architecture, and workflows

Evaluate existing IT systems by assessing system architecture, features, performance, and UI/UX to identify inefficiencies and propose improvements

Conduct cost-benefit analyses, operational feasibility studies, and risk assessments to compare IT solution alternatives and recommend solutions

Integrate system analysis, modeling, and evaluation techniques in a project to propose a digital transformation strategy for a business

Ideal for non-project management professionals to help develop key project management skills and be more successful in their business or IT roles

Job-ready skills in project, stakeholder, and requirements management, including key tools such as user stories, RACI charts, and Agile frameworks

Identify stakeholders, analyze them, and apply effective communication and stakeholder engagement strategies; Elicit, document, & manage requirements

Leverage generative AI tools to support project management, stakeholder engagement and requirements gathering

Build job-ready skills in business process modeling, Lean, Six Sigma, and systems thinking to excel in business analysis and process management roles

Develop and interpret process models and maps that represent current and desired states, enabling better communication and decision making

Analyze processes to identify inefficiencies, bottlenecks, and improvement opportunities using mapping, narratives, and analytical frameworks

Integrate systems thinking, Lean, Six Sigma, and AI-enabled methods to design, implement, and sustain optimized processes with measurable impact

Build job-ready skills in cloud native, microservices, containers, DevOps, and Agile employers are looking for in just 6 weeks.

Create RESTful APIs for modern web development and deploy them with Docker containers. 

Implement DevOps and CI/CD practices for streamlined development and deployment. 

Apply Agile and Scrum best practices for iterative, efficient software delivery.

Importance, benefits, and core components of Enterprise Data Architecture (EDA) and popular data architecture frameworks.

How to design and implement Enterprise Data Architectures for specific use cases.

How to develop and implement policies and procedures, such as data retention policies and operational standards.

How to plan and execute data system migrations and modernizations.

Build valuable applied data storage, integration, and migration skills employers need. 

Gain hands-on experience using industry-specific data tools.

Demonstrate you understand data-related best practices and can apply methodologies through industry-standard processes. 

Showcase your ability to solve problems related to data processes that you can talk about in interviews.

Create test plans and traceability matrices linking business needs to outcomes, and coordinate testing among QA teams, developers, and stakeholders

Build deployment checklists with clear launch steps, go/no-go criteria, rollback plans, and data validation techniques

Define key system metrics to support post-launch tracking, organize response plans, and guide improvement through retrospectives

Create a Testing and Release Kit with test strategy, validation checklist, and support plans for post-launch success

Apply prompt engineering and generative AI tools to gather business requirements, produce documentation, and create systems architecture diagrams

Create structured systems analysis, solutions architectures, optimized processes, interactive dashboards, and improved stakeholder communications

Generate and improve workflows by producing Business Process Model and Notation diagrams, process flowcharts, and journey maps using generative AI

Integrate gen AI with business analysis platforms, such as Jira, Confluence, Miro, and Power BI, to improve deliverable quality and efficiency

Design an enterprise architecture that replaces a legacy system and supports digital services, real-time data integration, and automated processes

Create solution blueprints, system and data models, cloud-native deployment strategies, and security frameworks that align with regulatory standards

Develop process flow, CI/CD pipelines, and a phased implementation roadmap

Apply cloud-native platforms, APIs, and microservices principles to modernize core enterprise operations and agile delivery