Adel Aliaskari,
Course Start
Coming Soon
18 Hours
CAD
In-house course
Support group
certificate
Course Language: Persian
Training Materials: English
Course Introduction
Artificial Intelligence is fundamentally transforming the way projects are planned, executed, monitored, controlled, and managed. Today, project managers and PMO professionals can use AI tools to perform many time-consuming activities—such as preparing project documents, analyzing risks, producing management reports, summarizing meetings, and reviewing project documentation—faster and more effectively.
This course has been designed with a fully practical, hands-on approach. Participants will become familiar with the fundamental concepts of Artificial Intelligence and learn how to effectively use tools such as ChatGPT, Claude, Gemini, Grmini Notebook, Napkin AI, Gamma, and other specialized AI tools in project management.
In the final part of the course, participants will also design and implement an AI Project Assistant using n8n, applying what they have learned to a practical project management automation scenario.
Course Resources
Throughout the course, participants will receive a collection of practical resources and files, including:
- Course slides and exclusive training materials
- Recommended templates for developing a Project Charter, WBS, and Activity List
- Practice files and case studies
- Sample project management automation workflows using n8n
- An initial template for designing an AI Project Assistant
- Additional files and resources related to AI applications in project management
Most of the primary resources and interfaces of the tools used in the course are in English. However, the instruction, explanations, exercises, and practical scenarios are delivered in Persian.
Artificial Intelligence is no longer simply a futuristic technology. It has become a practical tool for increasing speed, accuracy, and productivity in project management.
Project managers and PMO professionals can use AI tools to perform many repetitive and time-consuming activities faster and with greater efficiency.
Activities such as developing a Project Charter, creating a WBS, identifying risks, analyzing contracts, preparing meeting minutes, producing management reports, reviewing project documents, and extracting action items can all be performed more intelligently with the support of AI.
However, effective use of AI goes far beyond working with a single tool or asking a few simple questions. A project manager needs to know how to define the problem, write professional prompts, select the appropriate AI tool, evaluate the output, and automate project management processes using Artificial Intelligence.
This course has been designed with a fully practical approach to help participants integrate AI into their day-to-day project management and PMO activities.
- Identify real-world applications of Artificial Intelligence in project management and PMOs.
- Design professional and structured prompts for project-related activities.
- Prepare project management documents and deliverables faster and more accurately.
- Use ChatGPT to develop Project Charters, WBSs, Risk Registers, Project Status Reports, and other project documents.
- Analyze large files, contracts, claims, and project reports using Claude and Gemini.
- Build an intelligent project knowledge base using Gemini Notebook.
- Summarize and analyze project reports, meetings, and documents.
- Select the most appropriate AI tool for different project management needs.
- Automate repetitive project management and PMO processes.
- Design and implement an AI Project Assistant using n8n.
- Improve individual and organizational productivity without compromising the quality of project deliverables.
- Better manage the limitations, errors, and risks associated with the use of Artificial Intelligence.
- This course is suitable for:
- Project Managers
- PMO Professionals
- Project Planners and Project Control Professionals
- Technical and Execution Managers
- Project Management Consultants
- Professionals interested in applying Artificial Intelligence to project management
Special Course Features
- Designing an AI Project Assistant during the course
- Building real-world project management workflows using n8n
- Automatically summarizing emails and extracting action items
- Automatically generating and distributing weekly project reports
- Connecting the AI Assistant to project document repositories
- Access to a collection of prompts, templates, and reusable files for real projects
Special Course Features
- Fully practical and hands-on training
- Exercises based on real project management and PMO scenarios
- Hands-on training with several leading AI tools
- Comparison of the capabilities and applications of ChatGPT, Claude, and Gemini
- Building a project knowledge base using Gemini Notebook
- Using AI to create presentations, diagrams, and visual project deliverables
Course Delivery Format
- The course is delivered over 2 days, for a total of 16 hours, using a fully practical, workshop-based, and project-oriented approach.
outlines
Chapter 1: Introduction to Artificial Intelligence
- What is Artificial Intelligence?
- Differences between AI, Machine Learning, and Deep Learning
- Introduction to Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Large Language Models (LLMs)
- Generative AI
- Opportunities and limitations of AI
- Common AI errors and hallucinations
- The future of project management in the age of Artificial Intelligence
Chapter 2: Professional Prompt Engineering
- Principles of effective prompt design
- Components of a standard prompt
- Defining the Role
- Providing the Context
- Defining Task
- Specifying the Output Format
- Few-shot Prompting
- Prompt Chaining
- Techniques for improving AI responses
- Practical Exercises
Participants will use AI to:
- Develop a Project Charter
- Develop a WBS
- Prepare a Risk Register
- Prepare a Project Status Report
- Prepare Meeting Minutes
- Prepare a Management Report
Chapter 3: ChatGPT in Project Management
Practical applications of ChatGPT include:
- Developing a Project Charter
- Developing a Scope Statement
- Developing a Work Breakdown Structure (WBS)
- Preparing an Activity List
- Preparing a Project Communications Plan
- Developing a Stakeholder Register
- Developing a Risk Register
- Preparing a Procurement Plan
- Preparing a Project Status Report
- Preparing a Management Report
- Documenting Lessons Learned
- Writing formal project emails
Practical Exercise
Participants will apply ChatGPT to real-world project management documentation and scenarios.
Chapter 4: Claude and Gemini
Claude
- Introduction to Claude
- Analyzing large files and documents
- Contract analysis
- Claim analysis
- PMO report analysis
Gemini
- Introduction to Gemini
- Differences between Gemini and ChatGPT
- Organizational applications of Gemini
Chapter 5: Gemini notebook
- Introduction to Gemini notebook
- Building a project knowledge base
- Analyzing project documents
- Contract analysis
- Analyzing PMBOK standards
- Question answering based on project documents
- Building a project knowledge assistant
- Generating meeting summaries
Practical Exercise
Participants will use project documentation to build and interact with an AI-supported project knowledge environment.
Chapter 6: AI Applications in Project Management
Scope Management
- Developing a WBS
- Scope analysis
Project Scheduling
- Developing an Activity List
- Identifying activity dependencies
- Estimating activity durations
Risk Management
- Risk identification
- Root Cause Analysis
- Developing risk response recommendations
PMO Applications
- Developing management dashboards
- Preparing management reports
- Analyzing project performance
Chapter 7: Practical AI Tools
Intelligent Search and Research
- Perplexity AI
Presentation and Slide Design
- Gamma
Diagrams and Visuals
- Napkin AI
Graphic Design
- Canva AI
Meeting Management
- Fireflies AI
- Otter AI
- Fathom
Chapter 8: Designing and Building an AI Project Assistant with n8n
Part 1: Introduction to AI Agents
- What is an AI Agent?
- Differences between a Chatbot and an AI Agent
- AI Agent architecture
- The concept of Multi-Agent Systems
- Introduction to RAG
- The role of AI Agents in project management and PMOs
Part 2: Introduction to n8n
- Introduction to n8n
- Workflow structure
- Nodes
- Triggers
- Connecting workflows to AI models
- Credential management
- Connecting to files and knowledge bases
Part 3: Building an AI Project Assistant
Participants will implement an AI Project Assistant with capabilities such as:
- Generating Project Status Reports
- Automatically and periodically distributing project reports
- Analyzing project team member performance
Part 4: Automating Project Management Processes with n8n
Participants will implement practical workflows such as:
- Summarizing emails and extracting Action Items
- Generating weekly project reports and distributing them to managers
- Intelligently answering project-related questions based on project documents
FAQ
Do I need prior knowledge of Artificial Intelligence to attend this course?
- No. The course begins with fundamental AI concepts and gradually progresses to professional applications of Artificial Intelligence in project management.
Do I need programming knowledge for the n8n section?
- No. The concepts and steps involved in building workflows are introduced at a basic and practical level. Previous programming experience is not required to complete the main exercises.
Is this course only about ChatGPT?
- No. In addition to ChatGPT, the course introduces and examines tools such as Claude, Gemini, NotebookLM, Perplexity, Gamma, Napkin AI, Canva AI, Fireflies, Otter, Fathom, and n8n.
Is the course mainly theoretical or practical?
- The course is designed with a hands-on approach. Participants apply the concepts as they learn them by creating prompts, documents, reports, and real-world workflows.
What practical outcomes will I have at the end of the course?
- In addition to producing a range of project management documents and deliverables, participants will design and implement a sample AI Project Assistant using n8n.
Does the course cover AI applications for PMOs?
- Yes. Developing KPIs, preparing management reports, analyzing project performance, building dashboards, analyzing documents, and automating PMO processes are among the main areas covered in the course.
Does the course cover contract and claim analysis using AI?
- Yes. The course explores the use of Claude, Gemini, and Gemini Notebook for analyzing contracts, claims, reports, and other project documents.
Do I need to bring a laptop for the practical exercises?
- Bringing a laptop is recommended in order to fully participate in the hands-on sections of the course, particularly the AI tool exercises and n8n workflow development.
Do the AI tools introduced in the course require paid subscriptions?
- A significant portion of the exercises can be completed using the available versions of the tools. Some advanced features may require creating an account or purchasing a subscription to the relevant service.
How is this course different from general Artificial Intelligence courses?
- All examples, exercises, and workflows in this course are directly focused on project management and PMO activities. The objective is not simply to introduce AI tools, but to teach participants how to apply them to solve real-world project management problems.
TRAINER
PMO Manager | Certified Project & Agile Management Professional | Industry Trainer
Adel Aliaskari is a seasoned Project and Program Management professional with over 19 years of cross-industry experience in Telecommunications, Power Generation, Oil & Gas, Construction & Infrastructure, and Organizational Development. Holding a BSc in Industrial Engineering and an MBA, Adel combines academic excellence with practical leadership to deliver high-impact project outcomes and transformative PMO strategies.
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