Course DMBI-009
Artificial Intelligence in Contract and Project Management
This Artificial Intelligence in Contract and Project Management training course is designed to equip professionals with... The outline covers Introduction to Artificial Intelligence (AI) in Commercial Contracts and more,...
- 5 daysClassroom or online
- 14Upcoming dates
- 5Cities
- €1,925Fees from
Your week at a glance
- Day 1 Introduction to Artificial Intelligence (AI) in Commercial Contracts and more
- Day 2 AI in Commercial Contract Negotiations: How to do so profitably
- Day 3 AI and Contract Management and more
- Day 4 Introduction to AI in Project Management & AI for Project Scheduling and Resource Allocation
- Day 5 AI for Risk Prediction and Management & Integrating AI into Project Management Practices and more
Classroom
14 sessionsOnline / Live
14 sessionsIntroduction
Course overview
This Artificial Intelligence in Contract and Project Management training course is designed to equip professionals with the skills to effectively integrate AI technologies into contract management and project optimization.
In today's data-driven world, understanding and utilizing AI is essential for staying competitive and achieving operational efficiency.
Participants will learn how AI can automate contract reviews, optimize project scheduling, and enhance risk management.
This training course emphasizes the practical application of AI to streamline processes, reduce errors, and improve decision-making.
By analyzing real-world scenarios and utilizing state-of-the-art AI tools, attendees will gain a comprehensive understanding of AI’s capabilities in both contract and project management.
The training course will ensure that participants are well-prepared to implement AI-driven innovations in their respective fields.
This Artificial Intelligence (AI), Contract Management and Project Management training course will highlight:
Comprehensive understanding of AI in contract management
AI applications in project scheduling and resource management
Techniques for mitigating risks using AI
Role of AI in contract negotiation and dispute resolution
Hands-on experience with AI tools for practical applications
What you will achieve
Learning objectives
- Understand key contractual arrangements in selected industries
- Apply AI tools to optimize project scheduling and resource allocation
- Utilize AI for effective risk prediction and management
- Draft and review contracts using AI technology
- Evaluate AI’s role in dispute resolution and negotiation
Who should attend
Target audience
- This Artificial Intelligence (AI), Contract Management and Project Management training course will benefit all levels of personnel involved in any aspect of project procurement and implementation in commercial sectors.
- It will enable a broad range of disciplines to appreciate and understand the complexities of various industries, and how best to manage risk.
- Senior Managers
- Legal Managers and Counsel
- Commercial and Business Managers
- Contracts Administrators and Managers
- Project Managers and Team Leaders
- IT Professionals in Project Teams
Methodology
Learning approach
- Participants will engage in interactive lectures, practical exercises with AI tools, in-depth discussions, individual feedback sessions, and live demonstrations.
- This approach ensures a thorough understanding and application of the concepts taught.
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Introduction to Artificial Intelligence (AI) in Commercial Contracts and more
- Introduction to Artificial Intelligence (AI) in Commercial Contracts
- Overview of Business Structures and Contracting
- Emergence of AI and its application in society and business
- What can AI do and what it can’s do?
- The benefits and risks of using AI tools for contract negotiation
- Contract Formation: terms and conditions
- AI in Commercial Contracts Drafting: Enhancing Speed and Compliance
- Can AI draft a commercial contract?
- Coffee break
- Can AI draft a commercial contract? (continued)
- Remedies of Breach of Contracts
- Damages: Compensatory, Consequential and Incidental
- Damages, Liquidated Damages
- Termination of Contracts: AI role?
- The traditional commercial contract drafting process
- Limitations and challenges faced in traditional drafting methods
- Benefits of AI in the contract drafting process
- Best practices for implementing AI for contract drafting
Day 2
AI in Commercial Contract Negotiations: How to do so profitably
- Negotiating Commercial Contracts
- Joint Venture (JV)
- Example- Production Sharing Contracts (PSC)
- Fundamental Legal Principles
- Commercial Realities
- Coffee break
- Commercial Realities (continued)
- Cultural and Language Issues
- The application of AI in negotiating commercial contracts
- Liability clauses
- Contractual indemnity
- Insurance provisions
Day 3
AI and Contract Management and more
- AI and Contract Management
- Risk Management and AI
- The role of AI in contract management
- Sending payment reminders, contract renewals reminders
- Tracking contracts performance
- Identifying any potential breaches of contract
- Managing end-to-end contracting workflow
- How data collection becomes another metric to be analysed and used in optimising contract negotiations
- Indemnity and Exclusion Clauses: Why the need and the role of AI?
- Coffee break
- Indemnity and Exclusion Clauses: Why the need and the role of AI? (continued)
- Performance & Penalties
- Force Majuere, Change in Law and other Disputes
- AI role in Dispute Resolution under Cross Border / International Agreements
- The emergence of AI and its application in dispute avoidance
- AI and developing negotiation strategies in dispute avoidance under commercial contracts
- Arbitration & Mediation – Important Differences
- Mediation and Conciliation, Adjudication, Dispute Boards - save time and costs
- Enforcement of International Arbitration Awards under the New York Convention
- Contemporary Developments in Case Law and Legislation
Day 4
Introduction to AI in Project Management & AI for Project Scheduling and Resource Allocation
- Introduction to AI in Project Management
- Overview of AI and its relevance in project management.
- Introduction to various AI technologies impacting project management.
- The role of data in AI-driven project optimization.
- Understanding AI capabilities in project planning and execution.
- Overview of AI tools available for project managers.
- Analysis of AI applications in project management.
- AI for Project Scheduling and Resource Allocation
- Coffee break
- AI for Project Scheduling and Resource Allocation (continued)
- Principles of AI in scheduling: from theory to application.
- Demonstrations of AI-driven scheduling effectiveness.
- Exploration of tools and software for AI-based scheduling.
- AI approaches to resource allocation and optimization.
- Simulation of an AI-driven project scheduling scenario.
- Development session: AI resource allocation model.
Day 5
AI for Risk Prediction and Management & Integrating AI into Project Management Practices and more
- AI for Risk Prediction and Management
- Fundamentals of risk management using AI.
- Demonstrations of predictive analytics and risk assessment models.
- AI in qualitative vs. quantitative risk analysis.
- Implementing AI tools for continuous risk monitoring.
- Analysis of AI-driven risk management effectiveness.
- AI risk prediction tool.
- Integrating AI into Project Management Practices
- Strategic integration of AI technologies in existing processes.
- Managing change for AI adoption in project teams.
- Coffee break
- Managing change for AI adoption in project teams. (continued)
- Ethical considerations and AI in project management.
- Building AI competency within project management teams.
- AI integration roadmap.
- Review and Practical Application
- Review of key AI concepts and tools learned throughout the workshop.
- Hands-on practical exercise with a comprehensive AI project management tool.
- Development of a personalized AI implementation action plan.
- Individual feedback: Sharing insights and experiences.
- Overcoming barriers to AI adoption.
Course FAQs
Questions about this course
What participants and training managers usually ask before booking Artificial Intelligence in Contract and Project Management. Can't find your answer?
What does Artificial Intelligence in Contract and Project Management (DMBI-009) cover?
This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 9 - 13 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
This Artificial Intelligence (AI), Contract Management and Project Management training course will benefit all levels of personnel involved in any aspect of project procurement and implementation in commercial sectors., It will enable a broad range of disciplines to appreciate and understand the complexities of various industries, and how best to manage risk., Senior Managers
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Rome, Kuala lumpur, Barcelona, Paris, Frankfurt.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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