Overview
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Future-proof your systems career with the generative AI (GenAI) skills employers are looking for. GenAI has transformed how systems professionals analyze requirements, model processes, and deliver effective IT solutions faster and with greater accuracy. This IBM specialization gives existing and aspiring IT architects, systems architects, systems analysts, and other IT professionals the hands-on skills to turn GenAI into their power tool.
During this specialization, you’ll dive into the foundations of generative AI, prompt engineering, and AI-powered documentation. You’ll practice gathering and translating requirements, generating workflows and Business Process Model and Notation (BPMN) diagrams. You’ll produce structured deliverables such as dashboards, executive briefs, and stakeholder-specific outputs. Plus, you’ll gain valuable experience integrating generative AI into professional tools, including Jira, Confluence, Miro, and Power BI.
Throughout, you’ll get hands-on in interactive labs and real-world projects, building practical, job-ready AI skills in business analysis, process modeling, and IT systems architecture. All supported by IBM expert guidance and insights.
If you want to future-proof your systems career with the GenAI skills employers are looking for, enroll today.
Syllabus
- Course 1: Generative AI: Introduction and Applications
- Course 2: Generative AI: Prompt Engineering Basics
- Course 3: Generative AI: Advancing Systems Analysis & Architecture
Courses
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As generative AI (GenAI) reshapes workplaces and job roles, using it effectively is now essential. Prompt engineering is the key to directing GenAI models and refining their output for desired results. This course is for professionals, executives, students, and AI enthusiasts ready to harness prompt engineering to unlock tools like ChatGPT. You’ll learn practical techniques, structured methods, and best practices for crafting strong prompts. Explore zero-shot and few-shot prompting to boost reliability and output quality. Discover advanced methods such as the Interview Pattern, Chain-of-Thought, and Tree-of-Thought to produce accurate, context-aware responses. Hands-on labs and projects provide experience with multimodal prompting, the playoff method, and image generation. You’ll practice blending text and visuals and evaluating AI outputs for precision and usefulness. Podcasts, dialogues, and discussions link theory to real-world scenarios, while expert insights highlight strategies for effective prompt use. A final project and graded assessments ensure you can apply these techniques with confidence, leaving you with practical, job-ready skills. Hear from practitioners about the techniques and artistry behind writing impactful prompts. Enroll today to master prompt engineering and unlock GenAI’s potential.
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This course is designed for everyone—professionals, executives, students, and enthusiasts—interested in learning about generative AI and leveraging its capabilities in their work and lives. It is your first step toward understanding the power of generative AI, driven by models such as large language models (LLMs). In this course, you will learn the fundamentals and evolution of generative AI, with additional readings and expert insights offering a deeper view of its history and advancements. You will explore its capabilities across text, image, audio, video, virtual worlds, code, and data, with key takeaways and enhanced summaries at the end of each section to reinforce learning. You will understand the applications of generative AI in industries such as IT, finance, healthcare, education, entertainment, and human resources. You will also discover the features of popular tools and models, including GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs provide opportunities to practice using IBM Generative AI Classroom and tools such as ChatGPT. You will also hear from industry practitioners sharing real-world insights. Interactive activities, podcasts, and scenario-based exercises help you apply concepts, while a final practical project consolidates your skills by generating and refining outputs across multiple formats.
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Are you a Systems Analyst, IT Systems Architect, Software Architect, or a Solutions Architect and keen to use generative AI (GenAI) to enhance how you analyze and design systems, define solution requirements, and share technical insights? In this course, you’ll learn how to craft prompts and apply AI-driven requirement extraction to convert unstructured inputs, such as stakeholder interviews, emails, and process notes, into structured documentation, including user stories, use cases, system requirements, and acceptance criteria. You’ll gain hands-on experience generating and refining BPMN diagrams, system architecture workflows, process flowcharts, and customer journey maps using AI-powered modeling tools. You'll use GenAI to produce solution design assets such as business rules, architecture summaries, impact assessments, and stakeholder-ready briefs. Plus, you'll explore practical integration of AI into platforms such as Jira, Confluence, Miro, and Power BI to enhance collaboration, traceability, and efficiency across solution design lifecycles. If you’re looking to develop job-ready skills in system analysis, solution clarity, and stakeholder alignment using GenAI, enroll today and become the future-ready architect businesses need.
Taught by
Antonio Cangiano, Rav Ahuja and SkillUp