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Generative AI

Solutions Architects and Systems Analysts

SkillUp

Generative AI is changing the way organizations gather requirements, model processes, and communicate insights. This course equips systems analysts and aspiring professionals with practical skills to apply generative AI throughout the business analysis lifecycle. Learn to engineer effective prompts, simulate stakeholder interviews, and transform unstructured inputs into requirement documents such as user stories, use cases, and acceptance criteria.

You’ll explore AI-driven process modeling by generating BPMN diagrams, process flowcharts, and customer journey maps, while also critiquing workflows and identifying risks and gaps. Build communication assets including business rules, dashboards, executive briefs, and multilingual stakeholder messages.

Gain hands-on experience integrating AI with tools such as Jira, Confluence, Miro, and Power BI to streamline workflows and improve efficiency. Through interactive projects, you will develop job-ready expertise to deliver faster, clearer, and higher-quality business analysis outcomes.

Enroll now to master AI-powered business analysis and take the next step toward becoming a future-ready systems analyst.

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Learners who complete Generative AI: Solutions Architects and Systems Analysts will develop knowledge and skills that may be useful to these careers:

Systems Analyst

A Systems Analyst plays a pivotal role in bridging the gap between business needs and technological solutions. This professional analyzes existing systems, defines requirements for new ones, and ensures their effective implementation and integration. The "Generative AI: Solutions Architects and Systems Analysts" course is explicitly designed to equip professionals for this very role, providing practical skills to apply generative AI across the entire business analysis lifecycle. Learners gain expertise in leveraging AI to gather requirements, generate detailed requirement documents such as user stories and acceptance criteria, and model complex processes using BPMN diagrams. The course also teaches how to integrate AI with essential tools like Jira and Confluence, enabling Systems Analysts to deliver faster, clearer, and higher-quality business analysis outcomes, making them future-ready in an AI-driven environment.

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Solutions Architect

A Solutions Architect designs and oversees the implementation of complex IT solutions, ensuring they align with business objectives and technical standards. This often involves selecting appropriate technologies and integrating various components into a cohesive system. The "Generative AI: Solutions Architects and Systems Analysts" course directly addresses the needs of this role, focusing on leveraging generative AI to design innovative solutions. Learners will gain hands-on experience in applying generative AI to model processes, critique workflows, and identify risks and gaps in proposed architectures. The course's emphasis on integrating AI with tools like Jira and Confluence empowers Solutions Architects to streamline their design processes and build robust, efficient, and AI-powered systems. This prepares you to architect future-ready solutions that effectively harness the power of generative AI.

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Requirements Engineer

A Requirements Engineer is a specialist focused on eliciting, analyzing, documenting, validating, and managing the requirements for systems and software development. This precision-focused role ensures that solutions accurately meet user and business needs. The "Generative AI: Solutions Architects and Systems Analysts" course is exceptionally well-suited for a Requirements Engineer. It provides practical skills specifically in applying generative AI to gather and refine requirements. Learners will master transforming unstructured inputs into essential requirement documents such as user stories, use cases, and acceptance criteria. This deep dive into AI-powered requirements generation ensures that a Requirements Engineer can produce higher-quality, clearer, and more comprehensive documentation, significantly streamlining the initial phases of any development project.

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Business Analyst

A Business Analyst is crucial for understanding an organization's operations, identifying areas for improvement, and defining solutions that align with strategic goals. This role involves extensive requirements gathering, process modeling, and communication with stakeholders. The "Generative AI: Solutions Architects and Systems Analysts" course directly enhances the capabilities of a Business Analyst by providing cutting-edge skills in applying generative AI throughout the business analysis lifecycle. You will learn to use AI to simulate stakeholder interviews, transform unstructured inputs into well-structured requirement documents, and generate comprehensive process flowcharts and customer journey maps. Integrating AI with tools like Miro and Power BI allows Business Analysts to streamline their workflows, improve efficiency, and build compelling communication assets such as executive briefs and dashboards, ensuring success in an evolving professional landscape.

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AI Consultant

An AI Consultant advises organizations on how to strategically integrate and leverage artificial intelligence to solve business challenges, improve efficiency, and drive innovation. This role requires a blend of technical understanding and business acumen, often benefiting from an advanced degree. The "Generative AI: Solutions Architects and Systems Analysts" course is ideal for individuals pursuing a career as an AI Consultant, as it provides a robust toolkit for applying generative AI within diverse business contexts. You will learn to use AI to analyze existing processes, identify risks and gaps, and develop actionable strategies for improvement. The course’s emphasis on transforming unstructured inputs into clear communication assets, along with hands-on tool integration, enables consultants to effectively guide clients in mastering AI-powered business analysis and implementing future-ready solutions.

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Prompt Engineer

A Prompt Engineer specializes in designing, developing, and refining sophisticated prompts for generative AI models to achieve specific, desired outputs. This emerging role is critical for unlocking the full potential of AI in various applications. The "Generative AI: Solutions Architects and Systems Analysts" course is uniquely positioned to cultivate expertise in prompt engineering. It explicitly teaches learners to "engineer effective prompts" for diverse business analysis tasks, from simulating stakeholder interviews to generating requirement documents and communication assets. By focusing on transforming unstructured inputs into structured outputs and refining AI interaction, this course provides the foundational and practical skills necessary for a Prompt Engineer to guide AI effectively, ensuring precise and high-quality outcomes in business applications.

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Business Process Modeler

A Business Process Modeler is responsible for visually representing an organization's business processes, often through diagrams and flowcharts, to analyze current states, identify inefficiencies, and design optimized future states. The "Generative AI: Solutions Architects and Systems Analysts" course directly equips individuals for a career as a Business Process Modeler. It offers explicit training in "AI-driven process modeling by generating BPMN diagrams, process flowcharts, and customer journey maps." This hands-on experience allows learners to use generative AI to critique existing workflows, identify risks and gaps, and rapidly develop detailed models. By mastering these AI-powered techniques, a Business Process Modeler can create more accurate, comprehensive, and insightful visual representations, driving significant improvements in process understanding and redesign.

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AI Product Manager

An AI Product Manager leads the strategy, development, and launch of products that integrate artificial intelligence. This professional translates market needs into product requirements, prioritizes features, and works closely with engineering teams. Often, a master's degree is highly valued for this role. The "Generative AI: Solutions Architects and Systems Analysts" course can greatly benefit an aspiring AI Product Manager by providing a deep understanding of how generative AI impacts business analysis and product lifecycle. Learners gain practical skills in using AI to gather requirements, model processes, and communicate insights, which are crucial for defining and developing AI-powered products. The focus on integrating AI with tools and streamlining workflows prepares you to manage the practical aspects of AI product development, ensuring products deliver faster, clearer, and higher-quality outcomes.

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Process Improvement Specialist

A Process Improvement Specialist systematically analyzes, designs, and optimizes organizational processes to enhance efficiency, reduce costs, and improve overall operational performance. This role often involves identifying bottlenecks, implementing new methodologies, and monitoring outcomes. The "Generative AI: Solutions Architects and Systems Analysts" course provides highly relevant skills for a Process Improvement Specialist. You will acquire expertise in AI-driven process modeling, including generating BPMN diagrams and process flowcharts, which are fundamental to process analysis. The course also focuses on critiquing workflows and identifying risks and gaps, enabling professionals to pinpoint areas for enhancement using generative AI. By learning to streamline workflows and improve efficiency with AI, learners are well-prepared to drive substantial improvements in business operations.

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Enterprise Architect

An Enterprise Architect provides leadership and guidance in designing and implementing an organization's overall IT architecture, aligning technology strategy with business goals. This role often requires a master's degree due to its strategic and complex nature. The "Generative AI: Solutions Architects and Systems Analysts" course is highly relevant for an Enterprise Architect in understanding and integrating cutting-edge AI technologies into enterprise-level systems. The course's focus on solutions architecture, AI-driven process modeling, and critiquing workflows helps architects assess the impact of generative AI on current and future enterprise landscapes. By learning to identify risks and gaps and streamline workflows with AI tools, Enterprise Architects can design more robust and efficient future-ready systems, enhancing overall organizational capabilities.

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Technical Writer

A Technical Writer creates clear, concise, and accurate documentation, including user manuals, reports, and process guides, that communicates complex technical information to various audiences. The "Generative AI: Solutions Architects and Systems Analysts" course offers unique advantages for a Technical Writer seeking to leverage AI in their craft. The curriculum explicitly teaches how to transform unstructured inputs into structured requirement documents such as user stories and acceptance criteria. Furthermore, learners build "communication assets including business rules, dashboards, and executive briefs." Mastering generative AI for generating multilingual stakeholder messages and other documentation assets can significantly improve the speed, clarity, and quality of technical writing outcomes, making this course highly relevant for modern technical communication professionals.

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Project Manager

A Project Manager is responsible for planning, executing, and closing projects, ensuring they meet objectives within scope, time, and budget constraints. This role involves coordinating teams, communicating with stakeholders, and managing project deliverables. The "Generative AI: Solutions Architects and Systems Analysts" course may be helpful for a Project Manager looking to integrate AI into project planning and execution. It emphasizes "delivering faster, clearer, and higher-quality business analysis outcomes," which directly contributes to project success. Learners will gain hands-on experience integrating AI with tools like Jira and Confluence, commonly used in project management, to streamline workflows and improve efficiency in generating project requirements, scope documents, and communication materials for stakeholders.

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Change Management Specialist

A Change Management Specialist guides individuals and organizations through transitions, ensuring new processes, technologies, or strategies are adopted smoothly and effectively. This involves planning, communication, and stakeholder engagement. The "Generative AI: Solutions Architects and Systems Analysts" course may be helpful for a Change Management Specialist navigating the integration of AI within an organization. The skills gained in "critiquing workflows and identifying risks and gaps" are crucial for assessing the impact of new AI-driven changes. Furthermore, the ability to "build communication assets including executive briefs and multilingual stakeholder messages" using AI can significantly enhance the specialist's capacity to articulate the rationale and benefits of change, fostering smoother adoption and mitigating resistance within the workforce.

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User Experience Researcher

A User Experience Researcher investigates user behaviors, needs, and motivations through various research methods to inform the design of user-friendly products and services. This professional often creates artifacts like user personas and journey maps. The "Generative AI: Solutions Architects and Systems Analysts" course may be useful for a User Experience Researcher in leveraging AI to enhance their analytical and documentation processes. Specifically, the course teaches "AI-driven process modeling by generating customer journey maps," a key deliverable for UX research. Using generative AI to transform unstructured user feedback into actionable insights and to build communication assets can help User Experience Researchers streamline their workflows, improve efficiency, and communicate their findings more effectively to design and development teams.

See salaries and explore the career path for User Experience Researcher

Business Intelligence Analyst

A Business Intelligence Analyst collects, analyzes, and interprets complex data to provide actionable insights that support strategic business decisions. This role involves creating reports, dashboards, and visualizations to communicate findings effectively. The "Generative AI: Solutions Architects and Systems Analysts" course may be helpful for a Business Intelligence Analyst in augmenting their data communication and insight generation processes. The course specifically includes building "communication assets including dashboards" and integrating AI with tools such as "Power BI." While not primarily a data analysis course, the skills in transforming unstructured inputs into clear executive briefs and leveraging AI for efficient communication of insights can enable Business Intelligence Analysts to present their findings more rapidly and persuasively.

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Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative AI: Solutions Architects and Systems Analysts.

Refactoring

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Comprehensive guide to Jira. It covers everything from basic concepts to advanced features. It great resource for anyone who wants to learn more about Jira.

Refactoring: Improving the Design of Existing Code...

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Refactoring: Improving the Design of Existing Code

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Generative AI

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