AI for Project Managers
$4213 weeks · 18 hours · modules 1–2
Explore the programme ↗Updated English programme
Systematic project management in the age of AI
Work on your real project with Ivan Zverev, who has more than 20 years of project experience.
Course outcomeTogether we build a Project Manager Assistant in Claude Code: a working AI product you can adapt to your own project.
Audience
Who this course is for
The programme serves people with different starting points and goals.
Working project managers
You already run projects and want a coherent view of the whole system.
- See the project as a complete system
- Apply AI to real project management tasks
- Structure your work with requirements, risks and change
- Review your own project with practising experts
HR teams and leaders
You want project managers to make sound decisions, save time on routine work and improve project margins.
- Develop systematic project thinking
- Apply new approaches to company projects
- Practise on real work tasks
- Validate the outcome before an expert panel
People moving into project management
You want to enter the field and understand how project work actually happens much faster.
- Understand the whole project manager role
- Practise on a real project
- Learn predictive and agile approaches
- Use AI in project management work
Experienced specialists
You have substantial experience and want to keep up with modern approaches, learn AI and bring new tools into your work.
- Organise your existing experience
- Speak a shared professional language with teams and peers
- Build AI into familiar workflows
- Compare your approach with practising experts
More than another AI course
Build a Project Manager Assistant in Claude Code
Across the course, we develop this AI product for real project work: define its tasks, build its agents and check their output before making decisions.
✳
AI helps
- Analyse information
- Find options
- Work with data
- Automate routine work
✓
People are accountable for
- Context
- Critical thinking
- Choice of approach
- Decisions and outcomes
Together, we learn systematic project management and apply AI where it makes sense.
How learning works
Your real project
Build a management system step by step on your own project. Test each new tool in practice and learn which practices every project needs.
Your project
Bring a work or study project and apply each part of the programme to it.
Practitioner feedback
You receive feedback on your decisions, documents and the practical work behind them.
A defensible result
Test what you have built, collect evidence and present your project outcome.
Course team
Learn with Ivan Zverev
Learn project practice from course author Ivan Zverev.
Author and lead instructor
Ivan’s experience and credentials ↗
Ivan Zverev
Project management practitioner with more than 20 years of experience across manufacturing, IT, finance and game development.
Course results
What you will have in your hands
Explore the full set of outcomes by area. The first two areas are in the AI programme; the full programme includes all eight.
18 hours AI programme+67 hours further work in the full programme=85 hours · a complete project path
01AI models and data12 outcomes · AI and full programmes+
- Understand how AI works and write a strong prompt for any task
- Build a personal library of 5–10 prompts for your project
- Provide models with context and use techniques that improve answer quality
- Conduct deep research and check the basis of a model's answer
- Reduce hallucinations with RAG and independent cross-checks
- Know specialised tools that bring hallucinations close to zero
- Choose the right model and decide when an expensive one is worthwhile
- Prepare documents and presentations with AI
- Review project documents through different AI roles
- Select AI tools using a checklist
- Protect information when working with AI
- Understand the capabilities and limits of AI tools for project managers
02Agents and automation15 outcomes · AI and full programmes+
- Understand what assistants do and how to manage them
- Configure your own AI assistant for a recurring task
- Process meeting transcripts and use them in your work
- Choose an assistant, agent or tool for a task and understand its limits
- Work with ChatGPT, Claude, Codex, Cursor, Claude Code, TRAE and other PM tools
- Create agents and subagents and equip them with skills
- Orchestrate agents and know when to call them
- Build an AI pipeline and automate routine processes
- Reduce routine work with AI
- Create low-code automation for project processes
- Build a project dashboard and automatic stakeholder reports
- Check the quality of agents' work
- Continuously improve your AI system after each project, sprint and retrospective
- Build an AI system that is not tied to one platform
- Know when to use a prompt, an assistant or an agent
03Business and efficiency13 outcomes · Full programme+
- Run JTBD interviews to uncover real user pain
- Build a Value Stream Map and see where a product misses user expectations
- Explain the business monetisation model with a Business Model Canvas
- Connect team and business measures in a metric tree
- Find opportunities to improve business process efficiency
- Prioritise the backlog with margins in mind
- Form testable hypotheses with measures and validate them quickly
- Break the backlog into comparable tasks and estimate them with the team
- Estimate resources in hours and relative units
- Build a User Story Map
- Use AI to review task briefs while spotting what AI missed
- Apply project practices that improve team margins
- View the team through a business lens and help it move faster, beyond moving cards and holding meetings
04Critical thinking8 outcomes · Full programme+
- Recognise cognitive biases in project work
- Check facts in six steps, including the primary source, answer basis, independent opinion and separate number checks
- Find errors in AI answers and artifacts
- Spot logical fallacies such as straw men, false dichotomies and hasty generalisations
- Stress-test decisions and arguments
- Recognise statistical manipulation and distinguish correlation from causation
- Assess your strengths and gaps with T-shaped and V-shaped skill models
- Assign tasks clearly
05Predictive project management11 outcomes · Full programme+
- Distinguish a project, product, process and task
- Choose and justify a predictive, agile or hybrid approach
- Develop project leadership skills
- Prepare your project charter and canvas
- Draft project documents with AI and refine them yourself
- Build a role model and skills matrix
- Allocate responsibility with RACI and check it for completeness and consistency
- Manage risks with early triggers, scenarios and Risk Poker
- Manage stakeholders, communications and resources
- Assess project readiness with Go / No-Go
- Monitor project, team and personal health and respond to deviations
06Agile approach (Scrum)7 outcomes · Full programme+
- Choose cycle length, team composition and roles
- Set sprint and project goals
- Prepare and refine the backlog
- Estimate effort and make sprint plans fit capacity
- Run planning, daily meetings, demos and meaningful retrospectives
- Use AI at each sprint stage for transcripts, planning and retrospective agents, and risk alerts
- Develop T-shaped and V-shaped skills and use tools to build a strong team
07Change management7 outcomes · Full programme+
- Plan a change cycle and account for its cost
- Understand resistance and form a change team
- Handle objections
- Prepare a change communications plan
- Guide a team through changes in process, tools or composition, including AI adoption
- Track change progress
- Use AI to analyse resistance and rehearse difficult conversations
08Defence before an expert panel2 outcomes · Full programme+
- Defend your own project before experts
- Receive a certificate
For the participant
- Turn projects into business value
- Choose the right approach and deliver a result
- Think systematically, make decisions and direct AI
- Use AI as a work tool, beyond chat
- Build personal assistants and automation
- Create quality artifacts faster
- Plan a personal development path
For the employer
- Works more efficiently and reduces routine work with AI
- Understands the business and monitors team margins
- Makes balanced decisions
- Manages risks
- Shortens delivery time and brings projects to completion
- Knows how to organise a team
- Protects information and confidentiality
Working materials you take away
Document templates
- product requirements document
- User Story Map
- project charter / passport
- risk register
- communications plan
- role responsibility matrix
- documents and templates for stakeholder work
- project reporting templates
- detailed project progress report
- short management status report on project progress
- project closeout report
Project manager checklists
- project opening checklist
- daily checklist
- weekly control checklist
- six-month review checklist
- stage / project closeout checklist
Final artifacts
- short and full PM checklists covering what to watch, what to ask yourself and what not to miss during delivery
- final project management flowchart showing key decisions and actions from kickoff through completion and defence
Your four takeaways
A project management system
Knowledge and tools connected from kickoff to outcome defence, with AI built into everyday work.
Your project and working documents
Your own decisions, artifacts, assistants, automation and templates adapted to your project.
Checklists and a flowchart
Short and full PM checklists and the final project management decision flowchart.
Certificate, contacts and private club
A ZverProject certificate, expert contacts in the full programme, and an alumni community.
The documents are developed through practice on your own project, with feedback during the programme.
Before you choose
Questions to ask yourself
Use these prompts to identify what you want to strengthen. The English page does not collect answers.
Can I lead a project?
Consider how you set goals, organize people and show the result.
How effectively do I use AI?
Look at where AI already helps and how you verify its output.
What am I missing?
Check assumptions, risks and weak signals in a current project.
Plan for the result
Eight modules in four stages
The first two modules establish your Project Manager Assistant in Claude Code. The full programme applies it throughout the path from AI foundations to a project defence.
01
AI foundations
Module 1 · 9 hoursAI fundamentalsFrom effective prompts to your own assistant and a project charter.+
Story: As a specialist working with projects, I want to use AI on real tasks so I can prepare materials faster and verify the results.
Goal: Learn practical AI tools and ways to check their answers for use throughout the course.
What you will check in practice
- Explain basic AI principles and apply prompt engineering techniques.
- Collect 5–10 prompts for tasks in your own project.
- Try at least one way to reduce hallucinations, such as RAG or independent verification.
- Carry out deep research and check the basis of an answer.
- Choose a model for a task with quality and cost in mind.
- Prepare documents and presentations with AI.
- Use meeting transcripts in project work.
- Configure an AI assistant for a recurring task.
- Start a draft project charter in the assistant.
- Work through AI tool and information security checklists.
- Submit both assignments on time for instructor review.
Full topic list
- How AI works; prompt engineering and techniques for obtaining useful results
- Deep research and reducing hallucinations, including retrieval augmented generation (RAG)
- Choosing a model for the task: when a more expensive model is warranted
- AI use cases in project work and the cost of unreliable information
- Developing a project charter step by step; documents and presentations
- Transcribing meetings and using their content in project work
- Assistants and building your own AI assistant; an overview of project workspaces and task boards
- An information security checklist for AI work
Homework: Assignment 1: create 5–10 working prompts and test a hallucination reduction method. Assignment 2: build your assistant and draft the project charter. The instructor reviews both.
Artifacts: A prompt collection, configured AI assistant, draft charter and tool and information security checklists.
Assessment: Two reviewed assignments. There is no intermodule test after this module.
Scope and limits: A person checks AI results. The tools carry forward; the project charter is developed further in module 5.
Outcome: Prompt library, configured AI assistant and a draft project charter.
Module 2 · 9 hoursAdvanced AI workflowsBuild a Project Manager Assistant in Claude Code, then add automation, a dashboard and an improvement cycle.+
Story: As a project manager, I want to build my own AI system so I can automate routine work and improve my approach after each project.
Goal: Build AI infrastructure for project work, from role based document review to agents, dashboards and an improvement cycle.
What you will check in practice
- Choose a tool, assistant or agent for a project task and explain its limits.
- Review what Codex, Cursor, Claude Code and other tools can do.
- Review a project document using different professional roles.
- Explain a simple AI pipeline and how it can be automated.
- Explore low code automation of project processes.
- Create a first AI dashboard or a simple agent or automation for a recurring task.
- Define how to check an agent's work.
- Explore automated reporting for different stakeholders.
- Prototype a continuous improvement cycle for your AI system.
- Connect feedback from a project, sprint or retrospective to system improvement.
- Pass the online test for the AI block.
Full topic list
- Assistants, agents, subagents and skills: choosing for a work task
- Codex, Cursor, Claude Code, TRAE and other tools for project managers
- A platform independent AI system: your own agent, AI pipeline and automation
- Low code automation of project processes
- Using different professional roles to improve project documents
- Quality control for agents and automation of routine processes
- Automated stakeholder reporting and a project dashboard
- Feedback and continuous improvement of your AI system in projects, sprints and retrospectives
Homework: Build a first AI dashboard or simple agent or automation. Prototype the improvement cycle for your AI system.
Artifacts: A dashboard prototype, basic automation and a continuous improvement cycle for your AI system.
Assessment: Test and certificate for the AI for Project Managers programme. For participants taking only block 1, this is the final assessment and ZverProject certificate based on the test result.
Scope and limits: Access to the specified development and automation tools is included in the course price. Support trios start in module 3. The project defence belongs to the full programme.
Outcome: A working Project Manager Assistant prototype in Claude Code, a dashboard and an improvement plan.
↳ Your AI system
02
Product direction
Module 3 · 16 hoursProduct fundamentalsUser value, business metrics and team priorities.+
Story: As a project manager, I want to understand user needs and product economics so I can choose work that creates business value.
Goal: Learn product tools and connect the team's work to its business context.
What you will check in practice
- Conduct 2–3 JTBD interviews for your project.
- Build a Value Stream Map.
- Explain the monetisation model with a Business Model Canvas.
- Connect team measures to business measures in a metric tree.
- Justify backlog priorities with margins in mind.
- State 2–3 testable hypotheses.
- Give each hypothesis a distinct measure of success.
- Break the backlog into tasks of comparable scale.
- Practise team estimation and alternatives to hour based estimates.
- Prepare a User Story Map.
- Apply project practices that improve team margins.
- In an AI review of task definitions, identify both problems the AI found and problems it missed.
- Use at least one AI tool in the assignment and verify its conclusions yourself.
Full topic list
- JTBD interviews to identify a real user pain
- Value stream mapping and how well a product meets user expectations
- Business Model Canvas and a monetisation model
- A mathematical metric tree connecting team and business measures
- Prioritising the backlog to manage margins
- Framing hypotheses and testing them quickly
- Breaking down work and estimating comparable tasks as a team
- Limits of hour based estimates and alternatives, using payment product and banking examples
- User Story Mapping to see the product as a whole
- Project practices that increase team margins: view the team through a business lens and help it move faster
- AI review of task definitions, the pure logic trap and a margin backlog exercise
Homework: Conduct 2–3 interviews, build a Value Stream Map and form 2–3 hypotheses with a measure for each. Use AI for analysis or a draft and check the result.
Artifacts: JTBD interviews, Value Stream Map, measured hypotheses, estimated backlog, User Story Map and a template for finding high margin backlog items.
Assessment: Reviewed homework and practical exercises. An expert session with Dmitry Gnilitsa of about one hour. An online intermodule test.
Scope and limits: Product decisions must rest on data and business context. AI helps prepare material; the participant checks the conclusions.
Outcome: Product requirements, user stories and a prioritised plan.
Module 4 · 10 hoursCritical thinkingFact checking, logical errors, statistics and stress testing decisions.+
Story: As a decision maker, I want to test my conclusions and AI answers so I do not mistake errors for reliable facts.
Goal: Learn to check your own decisions and AI output critically.
What you will check in practice
- Recognise cognitive biases relevant to project work.
- Complete a bias checklist for your own case.
- Apply the six step method to an AI artefact from module 3 homework.
- Find at least one logical error or cognitive bias.
- Check sources and numerical claims.
- Apply at least one argument stress test technique.
- Distinguish correlation from causation and recognise common statistical manipulations.
- Map strengths and weaknesses using T shaped and V shaped skills.
- Assign tasks effectively to people and AI.
- Write a note on what you found and how the decision changed.
- Pass an online intermodule test with the instructor present.
Full topic list
- Cognitive biases: planning, overconfidence, confirmation, sunk costs, anchoring, halo, groupthink, authority and availability
- Fact checking in six steps: original source, basis of an answer, independent view and separate verification of numbers
- An AI stop valve exercise: finding errors in AI produced artefacts
- Formal and informal logic: straw man arguments, false dichotomies, hasty generalisations, post hoc reasoning, appeals to authority and circular reasoning
- Stress testing causal links, reframing and reductio ad absurdum
- Statistical manipulation: percentage baselines, time windows, averages, correlation and causation
- Assessing strengths and weaknesses with T shaped and V shaped skills
- Assigning work to people and AI
Homework: Take a hypothesis or Value Stream Map from module 3, fact check it in six steps, identify an error or bias, and stress test it. Write a short note on conclusions and changes.
Artifacts: Bias checklist, fact checking note for an AI artefact and a T shaped or V shaped skills map.
Assessment: Online intermodule test of theory and practice with the instructor present. One expert hour.
Scope and limits: Checks use a real artefact from the preceding module; conclusions are not accepted on trust.
Outcome: A reasoned decision with its assumptions and evidence made visible.
↳ Your product direction
03
Project delivery
Module 5 · 16 hoursTraditional project managementProject charter, roles, risks, stakeholders and communications.+
Story: As a project manager, I want clear roles, planning and control so I can manage a complex project and respond to deviations in time.
Goal: Learn traditional project management and prepare your own project's documents with AI drafts and human review.
What you will check in practice
- Explain the difference between a project, product, process and task.
- Justify a predictive, agile or hybrid approach for your project.
- Work through the project manager's leadership competency checklist.
- Develop the draft from module 1 into your own project charter.
- Develop the project canvas, role model and competency map.
- Create a RACI matrix.
- Check the RACI matrix for completeness and consistency.
- Build a risk register with early warning triggers.
- Run a short Risk Poker session.
- Prepare a communication matrix and stakeholder plan.
- Review resource management and a Go / No Go readiness check.
- Define how to monitor the health of the project, team and yourself.
- Plan responses to deviations and record improvement ideas.
- Draft project documents with AI and revise them independently.
- Pass an intermodule test with the instructor present.
Full topic list
- The project manager as a leader: competencies and leadership practice in a trio
- Project, product, process and task; choosing predictive, agile or hybrid approaches
- The structure and value of traditional methods in complex projects
- Project charter and canvas, role model and competency matrix
- Risk management: early triggers, scenarios and Risk Poker
- Managing stakeholders, communications and resources
- RACI: complete and consistent assignment of responsibility
- Go / No Go readiness checks
- Project, team and manager health; deviations, pain board and improvements
Homework: Prepare the charter, RACI matrix and risk register. Run a short Risk Poker session. Use AI for drafts, then check and revise them yourself.
Artifacts: Project charter, RACI, risk register, communication matrix, stakeholder plan and leadership competency checklist.
Assessment: Online intermodule test of theory and practical skills with the instructor present. One expert hour.
Scope and limits: Documents must relate to your own project. You remain responsible for checking facts and making management decisions.
Outcome: A project charter, risk register and communication plan.
Module 6 · 16 hoursAgile delivery with ScrumThe complete sprint cycle with AI, from planning to retrospective.+
Story: As a project manager, I want to organise work in short cycles so the team can show results regularly and improve how it works.
Goal: Learn Scrum and use AI to support its events and artefacts.
What you will check in practice
- Justify cycle length and team composition.
- Allocate roles and responsibilities.
- State a sprint goal.
- Prepare the backlog and practise refinement.
- Apply an approach to estimating effort.
- Simulate sprint planning.
- Simulate a daily meeting.
- Demonstrate the result and gather feedback.
- Conduct a meaningful retrospective.
- Use at least one AI tool at each stage of the simulation.
- Explore transcripts, trigger notifications and early detection of delivery risk.
- Identify directions for developing skills and the team.
- Pass an intermodule test with the instructor present.
Full topic list
- Choosing the cycle length and team composition
- Sprint planning, backlog, grooming and refinement
- Team size, roles and work allocation
- A useful sprint goal and project goal
- Estimating effort and delivering the sprint result
- Demonstrations, reviews and feedback
- A meaningful retrospective
- T shaped and V shaped skills and practices for developing a strong team
- AI for transcription, planning and retro agents, trigger based notifications and early detection of sprint risk
Homework: Run a complete simulation on your own project: planning, daily meeting, demo and retrospective. Use at least one AI tool at each stage.
Artifacts: Sprint and refinement simulation with AI; planning, demonstration and retrospective materials.
Assessment: Online intermodule test of theory and practice with the instructor present. One expert hour.
Scope and limits: The learning simulation uses your own project. AI is required at each stage of the cycle.
Outcome: A working sprint plan and an improvement backlog.
↳ Your delivery system
04
Testing and defence
Module 7 · 7 hoursChange managementResistance, objections and communication of a real change.+
Story: As a project manager, I want to prepare the team for change so I can address resistance and help people adopt new ways of working.
Goal: Learn to implement process, tool or team changes while accounting for resistance and cost.
What you will check in practice
- Plan a real change cycle for your project or team.
- Identify likely sources of resistance.
- Account for change cost and the people involved.
- Develop a change communication plan.
- Work through at least one expected objection.
- Explore how to guide a team through a change of process, tool or composition.
- Define how to track progress of the change.
- Use AI in the assignment to analyse material or draft communication.
Full topic list
- The change management cycle and common models
- The nature of resistance and the cost of change
- Building a change team
- Practising how to handle objections
- Changes to process, tools and team composition, including AI adoption
- Tracking change progress
- AI for sentiment and resistance risk analysis; an agent for rehearsing difficult conversations
Homework: Develop a communication plan for one real change and handle at least one objection. Use AI and verify the prepared materials.
Artifacts: Communication plan for a real change, including a worked through objection.
Assessment: Reviewed homework and one expert hour. There is no separate intermodule test after module 7.
Scope and limits: AI can help analyse sentiment and rehearse a conversation; the participant prepares and checks the final communication.
Outcome: A communication plan for a real change, including a worked through objection.
Module 8 · 2 hoursProject testing and defenceDemonstrate an implemented solution and your own AI system.+
Story: As a participant, I want to defend my solution on my own project so I can show practical use of management and AI tools.
Goal: Prepare to discuss management decisions and defend the result before an expert panel.
What you will check in practice
- Present the result of the knowledge test.
- Justify the predictive, agile or hybrid approach chosen for the project.
- Explain which course tools you used and why.
- Present real project artefacts such as a charter, RACI, backlog and change plan.
- Demonstrate configured AI assistants and agents at work.
- Show a system for personal development and continuous improvement of project work.
- Bring a management decision through to a result on your own project.
Full topic list
- Preparing for interviews and defending management decisions
- Typical questions during a project defence, client meeting or assessment
- Reviewing strong answers and supporting arguments
- Final test and project defence before practising experts
Homework: Module 8 has no separate homework hours. The defence brings together results from previous modules.
Artifacts: A defended project. After a successful defence, a ZverProject certificate and access to the private club.
Assessment: Final test and project defence assessed by a panel of practising experts.
Scope and limits: The defence is for participants completing both blocks. Block 1 alone ends with the module 2 test and block certificate. Repeat defence terms are agreed separately.
Outcome: A project defence and a demonstration of your AI system.
↳ Defended project
54 class hours + 5 expert hours + 26 hours of independent work = 85 hoursDetailed English programme · PDF ↗
Learning with peers
Groups of three help you keep moving
After module 2, the instructor forms support teams of three at the first class of module 3.
How the trio works
After module 2, the instructor forms support teams of three at the first class of module 3.
A volunteer team lead changes about every 3–4 weeks. They track deadlines and participation but have no formal authority.
Members review one another’s ideas and assignments and support steady progress on real projects.
Competition and support
Trios compete on the combined points of all three members. The winning trio receives a prize mailed to its members; the instructor announces the prize and rules.
If your trio does not work well, contact the instructor by the end of module 3. Regrouping may be possible; the problem does not stop you from continuing the course.
Six scoring criteria
Homework quality
The work of all three members is assessed against module criteria.
Use in your project
Show a verified result from real work.
On-time delivery
All three submit before the deadline.
Work inside the trio
Meet regularly, review one another's work and make sure nobody falls behind.
Attendance
All three attend classes.
Contribution to the wider group
Share reviews, templates and new tools with other trios.
Shared responsibility
Who does what
The course team provides a system, practice and feedback. Participants apply it to their own projects; employers support this when they fund training.
Participant
Brings a project, assignments, questions and decisions. Attends classes or watches recordings, uses camera and microphone, submits work on time, contributes to the trio and keeps information confidential.
Course team
The author provides a coherent programme, expertise and employer reports. Instructors lead modules and expert meetings, set and review assignments, score tests and form trios. Guest experts share practice and join the defence panel.
Employer
When funding training, pays on time or under a guarantee letter, helps choose a work project, allocates time, and receives monthly reports only for its own employees.
Communication plan: before, during and after the course ↓
Participant
Before: Introductory meeting; choose a project.
During: Classes, assignments and feedback.
After: Test or defence; private club.
Course team
Before: Goals, criteria and study plan.
During: Teaching, work review and expert sessions.
After: Final assessment and Ivan’s workshop.
Employer
Before: Allocate resources and pay for participation.
During: Monthly report about its employees.
After: Final score and panel conclusion.
If plans change
What could get in the way, and what is planned?
Treat your training as a project with risks. The course plan identifies each situation, a preventive action and a response.
I cannot attend a class
Prevention Choose the weekday or Saturday group; reserve extra preparation time in your calendar and tell colleagues about the training.
If it happens Watch the recording or attend the class with the other group.
I keep postponing homework
Prevention Reserve time for assignments; the trio leader reminds members of deadlines and encourages them.
If it happens Discuss what is blocking you with your trio or instructor, who monitors deadlines and participation.
I become ill during the course
Prevention The original risk plan recommends taking vitamins to support immunity.
If it happens See a doctor promptly and watch recordings of missed classes.
See all 14 situations ↓
Participant · High risk
I cannot attend a class
Prevention Choose the weekday or Saturday group; reserve extra preparation time in your calendar and tell colleagues about the training.
If it happens Watch the recording or attend the class with the other group.
Participant · High risk
I keep postponing homework
Prevention Reserve time for assignments; the trio leader reminds members of deadlines and encourages them.
If it happens Discuss what is blocking you with your trio or instructor, who monitors deadlines and participation.
Participant · Medium risk
I become ill during the course
Prevention The original risk plan recommends taking vitamins to support immunity.
If it happens See a doctor promptly and watch recordings of missed classes.
Participant · Medium risk
I do not have enough time to finish
Prevention Before starting, assess the 18-hour or 85-hour workload and agree on study time with your manager.
If it happens Continue the course at a suitable pace using recordings.
Participant · Medium risk
I do not have my own project
Prevention Tell the course author or instructor before starting.
If it happens Choose one of the proposed standard study projects.
Participant · Medium risk
My support trio does not work well together
Prevention Trios are formed after the first block, once participants know one another; agree on a channel and contact rhythm.
If it happens Contact the instructor before the end of module 3 so the trios can be reorganized if possible.
Participant · Medium risk
I am unsure whether project management suits me
Prevention Take the project manager role self-assessment and consider starting with the AI programme.
If it happens Decide after block 1 whether to continue; block 2 can be purchased separately.
Participant · Low risk
I do not pass the test or defence
Prevention Submit homework and intermodule tests regularly, and check the defence criteria.
If it happens Review feedback and make an improvement plan; agree any repeat attempt with the course author.
Participant · Low risk
I do not understand an assignment
Prevention Read the criteria in advance and ask the instructor questions.
If it happens Show the instructor what you have done and revise it based on feedback.
Employer · High risk
The employee is not engaged
Prevention Release work time for learning, help select a work project, and use trio work and instructor follow-up.
If it happens Receive a monthly progress report.
Employer · Low risk
Training does not help at work
Prevention Hold an initial employer–participant–course author meeting to identify growth areas and define success criteria.
If it happens No separate response is specified in the original risk register.
Employer · Low risk
Company information is disclosed
Prevention Participants follow the agreement not to disclose commercial information.
If it happens Review the incident with the author and remove the person responsible from the cohort.
Course team · Low risk
An instructor cannot lead a class
Prevention Module materials are prepared in advance and a reserve instructor is available.
If it happens No separate response is specified in the original risk register.
Course team · Low risk
A guest expert misses a meeting
Prevention The instructor prepares the meeting in advance and reminds the expert.
If it happens Reschedule the meeting or invite another expert.
Programme finale
Defend the result of your own project
In the full programme you build a systematic plan for your own project module by module and defend it before a panel of practising experts. The AI-only programme ends with a test.
01 Project result02 Evidence and decisions03 AI systemFinal defence
What you show
- Knowledge test result
- Reasoned choice of predictive, agile or hybrid approach
- Which course tools you used and why
- Real project documents, including a charter, RACI, backlog and change plan
- Your AI assistants and agents working in practice
- Your self-development and continuous improvement system from module 2
Panel: A panel of practising experts.
Before the defence
- Homework and inter-module tests
- Final test in module 8
- Documents for your own project
Module 8 covers typical defence, client and appraisal questions and strong ways to answer them.
Acceptance criteria
Justified project approach
- Explain why predictive, agile or hybrid delivery fits your project.
Correct project documentation
- Product requirements document
- User Story Map
- Estimated backlog
- Project charter
- RACI matrix
- Stakeholder management plan
- Communications matrix
- Sprint planning, demo and retrospective materials
- Risk register with early warning triggers
Appropriate AI use
- Explain where AI helps and where the decision remains with a person.
Completion and certificates
AI for project managers
Complete modules 1–2 homework and test; no project defence
ZverProject certificate
Full programme
Complete blocks 1 and 2 homework, tests, final module 8 test and project defence
ZverProject certificate
The employer can receive the panel's conclusion and overall score.
For organizations
Training a project team?
Discuss participant numbers, programme choice and a corporate format directly with Ivan. A separate agreement sets scope, price, dates and payment terms.
After the defence
A professional community stays with you
Participants and alumni can continue sharing practice with people who speak the same project language.
Career
- Career consultation on your next step
- Partner internships for participants scoring at least 85/100, where openings exist
- Vacancies and peer referrals in the private club
Community
- Private club for participants and alumni
- Monthly workshops with Ivan and invited experts
- Ongoing exchange of project experience
Private club access follows a successful project defence in the full programme or a successful final test in the AI programme.
Programme options
Choose the depth you need
Start with AI or follow the full path from systematic project management to defending your own project.
AI for Project Managers
Modules 1–2For project managers who want to bring AI into everyday work now.
$4213 weeks · 18 hours
- Recordings of all sessions
- Ongoing access to materials
- A final test and ZverProject certificate after successful completion
Systematic Project Approach
Modules 1–8For people building a complete management system around their own project.
$1,14614 weeks · 85 hours
- Everything in the AI programme
- Reviewed practical assignments
- Work in groups of three and five expert meetings
- Project defence before an expert panel
Individual setup
Full programme tailored to your companyThe full programme plus individual work on your project.
$2,31614 weeks · 85 hours
- Everything in the full programme
- Materials adapted to the company
- One-hour consultation with the course author
- Quick assessment of project and AI opportunities
- Maximum two places per cohort
Tell Ivan who recommended the course so the discount can be considered when arranging participation.
Ask for a written agreement before committing to a place. Payment terms are confirmed directly by email.
Prices are in US dollars. This page does not accept applications or payments. Request current terms by email.
Need help choosing?
Start with your actual task
Tell Ivan about your project, your experience and the time available. He can help you decide whether the AI block or the full programme fits.
Keep up with the course
Course materials and updates
Ask Ivan where to find current course news and whether a later cohort is planned.
Next step
Talk to Ivan about your project
Ask about the English-language programme and future availability.
Email: info@ivanzverev.com
Dates do not work?
Ask about a later cohort
The English page has no waitlist. Contact Ivan directly for future dates.
Questions
Frequently asked questions
What is this course?
A practical course by Ivan Zverev in systematic project management and AI. You work on your own project, develop management documents and learn to use assistants, agents and automation with human review.
Who created the course?
Ivan Zverev is the author and lead instructor, with more than 20 years of experience in project methods. CONNECTIKA SOLUTIONS LLC offers the course. Ivan is its partner and course author.
Who is it for?
Project managers, specialists moving into project roles, experienced professionals, leaders, HR and learning teams who want stronger project capabilities.
Can a new project manager join?
Yes. The programme follows the complete role from goals and approach through teams, risks, stakeholders, change and results. A real or study project helps you practise.
Is it useful for an experienced project manager?
Yes. Experienced participants can systematise their practice, compare approaches with experts and add AI agents and automation to their current management system.
Do I need AI experience before the course?
No. The first two modules begin with model basics, prompting and context before moving to assistants, agents and automation.
What AI skills will I learn?
You will build a Project Manager Assistant in Claude Code, frame tasks for its agents, check their output and use it for project documents, reports and dashboards.
Which AI tools are covered?
You build a Project Manager Assistant using Claude Code and consider other current tools including ChatGPT, Claude, Codex and Cursor. The goal is to choose tools for a task rather than depend on one platform.
How is this different from a general AI course?
AI is taught as part of a complete project management system. You learn to understand the project, check information, choose an approach and remain accountable for decisions.
Which project approaches are covered?
Traditional, agile and hybrid approaches are discussed, with product tools, Scrum, critical thinking and change management. You choose according to the project.
Do I need my own project?
Ideally yes. Assignments use a real work or study project. If you do not have a suitable project, discuss a case with Ivan before the course starts.
What is in the full programme?
Eight modules: AI fundamentals; advanced AI workflows; product fundamentals; critical thinking; traditional project management; agile delivery with Scrum; change management; and project testing and defence.
What materials will I keep?
A product requirements document, user story map, project charter, risk register, communication plan, responsibility matrix, stakeholder materials, reports, checklists and a project management flowchart adapted to your own project.
What is the training format?
The course is taught online in English. The next class dates are not yet announced. Practical work centres on your project.
How long does it take?
AI for Project Managers lasts 3 weeks and has 18 hours. The full Systematic Project Approach lasts 14 weeks and has 85 hours: 54 hours of classes, 5 hours with experts and 26 hours of independent work.
When is the next cohort?
Dates have not yet been announced. Email info@ivanzverev.com to ask about availability.
What if I miss a class?
Sessions are recorded. You can watch a recording or, when arranged, attend the corresponding session with the other group.
How large is a group?
Each group has at most 15 participants so instructors can address questions, give feedback and discuss real projects.
Is there homework?
Yes. Assignments apply the tools to your project. In the full programme, instructors review practical work.
What are the support trios?
After the AI modules, full programme participants work in groups of three to discuss difficulties, review work and support progress. Leadership rotates by choice.
Are guest experts involved?
Yes. The full programme includes five meetings with guest practitioners who share experience and discuss participants’ real situations.
How does the course finish?
The AI programme finishes with a test. The full programme finishes with testing and a defence of your own project before an expert panel.
Is a certificate awarded?
ZverProject certificates are available on successful completion. The AI block requires the final test; the full programme requires a successful project defence.
What does the training cost?
AI for Project Managers is $421; the full programme is $1,146; individual setup is $2,316. The English website does not accept payment. Confirm applicable terms directly with Ivan.
Can I take only the AI programme first?
Yes. Start with the three week programme covering modules 1–2 and discuss continuing into the full programme later.
Can my company pay?
An employer can discuss a separate written agreement with CONNECTIKA SOLUTIONS LLC. The English website does not process payments; request written terms by email.
Is there a corporate format?
Yes. The programme can be adapted to an organisation’s projects, team needs and level of experience. Contact Ivan directly to discuss scope and terms.