AI for Project Managers — GenAI + Agentic AI
capability building,
designed for your organisation.
A custom-built corporate programme for project managers, programme managers, scrum masters, delivery leads, PMO leaders, and aspiring senior PMs across IT services, consulting, BFSI, healthcare, manufacturing, and global delivery centres. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements — module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- GenAI vs. agentic AI vs. classical ML — what each is for, in PM language
- The major model families (GPT-5, Claude, Gemini, Llama) and where each fits in PM work
- The PM tool landscape with embedded AI — MS Project Copilot, Smartsheet AI, Asana AI, Monday AI, Jira AI
- Decision framework: when to use AI, when not to
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Demonstrable skills your team will apply on live projects.
Apply GenAI to all 12 core PM workflows
Planning, estimation, status reporting, RAID, change, retro, stakeholder communication, escalation, vendor management, RFP response, recruitment, knowledge transfer.
Evaluate and govern agentic AI in delivery
Distinguish capable agents from prototypes; design governance for AI-augmented teams; manage risk and ethics.
Lead AI-augmented programmes confidently
Equipped to scope, plan, deliver, and govern projects where AI is in the delivery loop.
Pass GSDC Generative & Agentic AI for PM certification
Two attempts; cohort first-attempt pass rate 92%.
Achieve measurable productivity lift
30–50% time saving on documentation-heavy PM tasks; documented pre/post.
Become an internal AI-PM Champion
Equipped to evangelise AI adoption in the PMO, mentor junior PMs, and shape AI policy for delivery.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·Aware that AI tools exist for PMs but unsure which to adopt or how
- ·Limited fluency with ChatGPT, Copilot, or Claude in PM-specific tasks (status reports, RAID logs, retros, stakeholder communications)
- ·No working knowledge of agentic AI for PM workflows — automated stand-ups, intelligent risk-detection, AI-assisted estimation
- ·Cannot critically evaluate AI proposals from delivery teams or vendor pitches
- ·Lacks framework for managing AI-augmented projects: scope, risk, governance, ethics
- ·No certification credential to evidence AI fluency on RFPs and CVs
Where they'll arrive
- ✓Daily-driver fluency with ChatGPT, Copilot, and Claude on PM artefacts — typically 30–50% time savings on status reports, RAID logs, retros, JDs
- ✓Agentic AI literacy for PMs — understands what's automatable, what's not, and how to govern AI-augmented teams
- ✓AI-augmented PM toolkit — practical patterns across 12 PM workflows: planning, estimation, status, risk, change, retro, stakeholder, escalation, vendor mgmt, RFP response, recruitment, knowledge transfer
- ✓AI governance fluency — DPDP Act, EU AI Act, ISO 42001 implications for PM-led delivery
- ✓Capstone artefact portfolio for the PM's actual delivery context
- ✓GSDC AI for PM certification — globally recognised, RFP-citable credential
Built for L&D outcomes, not seat counts.
Prompt discipline, not prompt luck
Learners move from trial-and-error prompting to named patterns such as role prompting, few-shot, prompt chaining, and self-critique.
Reusable team assets
The programme produces Custom GPTs, reusable workflow templates, and a shared prompt library that teams can govern and scale.
Daily productivity workflows
Labs focus on email, reports, slides, meetings, spreadsheets, research synthesis, and role-based business assignments.
Measured time savings
Capstone workflows document recurring task compression, review-cycle reduction, and before/after productivity improvements.
Responsible enterprise use
Learners practise confidentiality, IP, bias detection, verification checklists, and safe-use protocols before adoption at scale.
Sustainment built in
30-day, 60-day, and 90-day check-ins help learners keep pace as ChatGPT features and frontier models evolve.
A four-milestone path from skill gap to client-ready.
Foundation & baseline
Establish a working mental model of ChatGPT, frontier models, tokens, context windows, hallucination risks, and model-selection trade-offs.
Prompt engineering labs
Learners practise CRISPE, SPEAR, role prompting, constraint-led prompting, few-shot prompting, self-critique, and prompt iteration on real work scenarios.
Custom GPTs & workflow automation
Each learner builds reusable GPTs and connects ChatGPT to productivity tools for email, documents, spreadsheets, meetings, and research workflows.
Capstone & sustainment
Learners demonstrate a personal AI productivity system and continue with prompt-of-the-week, model-of-the-month, and 30/60/90-day check-ins.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
Domain-expert trainers, not professional presenters.
"My job isn't to teach ChatGPT as a tool — it's to help professionals build repeatable AI workflows, verify the output, and reclaim hours from routine work."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·Knowledge workers who want to apply ChatGPT productively in their daily workflows
- ·Business analysts, consultants, marketing professionals, project managers, and individual contributors
- ·Teams that use ChatGPT for occasional drafting but need reliable, business-grade outputs
- ·Managers looking to establish team-wide prompt standards and safe-use protocols
- ·Organisations that want to automate repetitive work across email, spreadsheets, calendars, and documents
Pre-requisites
- ·No coding prerequisite for business and productivity tracks
- ·Basic familiarity with workplace tools such as email, documents, spreadsheets, slides, and meetings
- ·Willingness to bring real recurring tasks into labs for workflow redesign
- ·Enterprise cohorts should align data-handling expectations before learners use company or client information
Trusted by L&D leaders across the world.
"The programme moved our team from random prompting to a repeatable method. The prompt library and Custom GPTs became assets we could actually reuse."
"The most useful part was workflow automation. Learners took their weekly reports, meeting recaps, and research tasks and reduced hours of repetitive effort."
"Responsible use was handled practically. The team finally understood what can be pasted, what must be masked, and how to verify output before sending it."
Questions L&D teams ask before signing.
No. PMP or PRINCE2 is not mandatory. The course is designed for project managers, program managers, scrum masters, PMO teams, business analysts, team leads, delivery managers, and professionals who want to use AI in project planning, reporting, risk management, stakeholder communication, and productivity workflows.