IT Project Management with AI Bootcamp

In the first week, participants get introduced to the bootcamp, connect with their cohort, and set the foundation for effective collaboration. They take part in the Intro Bootcamp, create their Manual of Me, and align on expectations through the Bootcamp Manifesto. They also set up essential tools by configuring Notion and Miro, creating their own workspace, and defining team norms to support structured and collaborative work throughout the programme.

By the end of this week, participants are grounded in the core principles of IT Project Management and the transformative power of AI. They understand the different types of development projects and the basic web technologies that drive them. By integrating Claude into their workflow, participants are able to execute their first AI-assisted PM prompts, bridging the gap between traditional management and modern efficiency.

By the end of this week, participants effectively map stakeholder landscapes and leverage AI to draft user stories, briefs, and reports. With a solid grounding in AI ethics, they ensure their use of automation is both responsible and transparent. The objective of this week is to turn AI into a strategic partner for managing project documentation and context-heavy tasks.

In week 4, participants will translate high-level vision into actionable execution. They transition from defining a broad Project Charter to managing a functional Jira board, utilizing Miro templates to collaborate on strategy. By the week's end, participants are able to use Claude for AI-assisted estimation, resulting in a sprint-ready backlog with clear epics and milestones.

By the end of this week, participants are proficient in the Scrum framework and capable of leading projects through real-world execution. They transition from planning to action, running sprint ceremonies with confidence and mastering the technicalities of Jira to track progress. By the week's end, participants are able to write robust user stories with clear Definition of Done (DoD) and earn their official Atlassian badge.

In Week 6, participants develop the technical vocabulary needed to communicate effectively with engineers and understand the core web technologies that power modern products. By simulating development team interactions with Claude, they practice real-world scenarios while mastering Confluence to keep project documentation clear and accessible.

By the end of this week, participants are data-driven leaders capable of steering projects through the complexities of execution. They master the art of monitoring and control, learning to interpret Jira metrics like velocity and burndown charts to accurately predict project health. By facilitating retrospectives and using AI to streamline stakeholder reporting, participants ensure their teams remain aligned and committed to continuous improvement.

In Week 8, participants successfully wrap up their projects, ensuring all documentation is finalized in Miro and Notion. The week culminates in a 3-minute pitch, during which participants present their results to the cohort and receive structured, professional feedback from both coaches and peers.

In week 9, participants begin transitioning from group work to their individual Capstone Project. They take the lead in building a comprehensive business case and a professional Request for Proposal (RFP). Using Claude, participants design and configure their own "artificial team" of AI personas, simulating a real-world project kick-off and power-mapping a complex stakeholder landscape to ensure their project has a clear path to success. The objective of this week is to shift from a collaborative environment to individual ownership, leveraging AI to build a custom, high-stakes project simulation.

By the end of this week, participants will master the balance between visionary OKR roadmapping and the practical reality of risk management. By defining clear quality gates and aligning their product metrics with business goals, they ensure that their Capstone Project remains high-quality and strategically relevant, even when navigating complex shifts.

In week 11, participants will be experts in navigating the rapidly evolving landscape of Responsible AI. They will move beyond simple prompting to evaluate AI tools for enterprise-level adoption, ensuring every automation is sustainable, ethical, and compliant. By exploring cutting-edge platforms and AI agents like ROVO, Gemini, Claude, and Banana, participants will design sophisticated workflows that don't just save time, but also adhere to global standards of safety and transparency.

In week 12, participants will master the essentials of SAFe (Scaled Agile Framework) and LeSS, learning how to manage complex, multi-team environments while keeping the focus on high-quality delivery. They will transition their individual project into Capstone Sprint 1, bringing their boards to life and earning their official Scrum Masters badge. Crucially, they will master portfolio to visualize high-level initiatives and apply the Lovable AI philosophy, learning to prompt user stories that bridge the gap between technical design and human-centric delivery.

In week 13, participants will master Claude Code to streamline the creation of user stories and acceptance criteria, while building their own personal PM prompt library. Participants will push their technical boundaries by automating Jira workflows and bringing their Capstone prototype to life in Lovable AI.

By the end of this week, participants will mastering the art of data-driven decision making. They move beyond individual task management to oversee a multi-project Jira portfolio, gaining the visibility needed to lead at scale. By integrating Google Analytics and AI-generated performance reports, participants will learn to translate raw data into actionable insights and run a professional change request process to keep their Capstone Project on track.

By the end of Week 15, participants are able to finalize and refine their Capstone Project by completing end-to-end documentation, polishing their working prototype, and preparing a clear and structured pitch. They will apply Agile completion practices by closing out Jira tasks, consolidating project knowledge in Confluence, and ensuring their Lovable AI prototype is fully functional and presentation-ready. Additionally, participants will produce a first draft of their “5 Steps of ITPM” blueprint and incorporate feedback from coaches and peers to improve overall quality.

In the final week, participants will transition from students to certified professionals, ready to make their mark on the industry. They will define their personal IT Project Management career roadmap, polish their professional brand on LinkedIn, and finalize their portfolios to showcase their new expertise. The journey culminates in a high-stakes Live Capstone Presentation, where participants prove their skills in action and celebrate their growth with the awarding of their official certification.