Technical Review of Gas Based Power Plant Design
for New Projects and Existing Projects

This program provides a step-by-step systematic understanding of a systematic evaluation of multiple disciplines and systems to ensure safety, efficiency, regulatory compliance, and long-term viability. Program will cover Technology, Methods and Data Analytics for Technical Review of Gas Based Power Plant Design.

Participants will gain a Unique Multidiscipline Understanding of Domain Issues, Real Business Case Studies, Solutions to Current Business Problems and Opportunities that will help them enhance Productivity, Cost Reduction, Stakeholder Satisfaction and Alignment to Organizational Strategies.

All Gas Based Power Plant Professionals.

Program is highly recommended for All Gas Based Power Plant Process Improvement Teams, Research & Development Teams, Strategy Teams, Business Development Teams.

1. Technical Review of Gas Based Power Plant Design
   for New Projects and Existing Projects
2. What are the Key Concerns and Risks during this Analysis
3. The technical review of gas-based power plant design—whether for a new or existing project—must thoroughly evaluate key concerns and risks to avoid future failures, cost overruns, or regulatory violations. Below is a structured summary of these key concerns and associated risks, categorized by technical domain:
4. ⚠️ 1. Design Integrity Risks
5. Improper Equipment Sizing
6. Risk: Turbines or HRSG underperform during peak loads or have poor part-load efficiency.
7. Inadequate Margin in Design Parameters
8. Risk: Operation close to limits causes frequent trips, stress failures, or reduced life.
9. Incomplete Process Integration
10. Risk: Bottlenecks between gas turbine, HRSG, and steam cycle affecting performance.
11. 🔥 2. Thermal and Operational Performance Concerns
12. Low Plant Efficiency
13. Risk: Increased fuel costs and poor ROI.
14. Incorrect Heat and Mass Balance
15. Risk: System imbalance and operating instability.
16. Poor Load Following or Cycling Capability
17. Risk: Plant unable to respond to demand variations or grid requirements.
18. 🌐 3. Fuel Supply and Quality Risks
19. Gas Supply Interruptions
20. Risk: Inability to meet dispatch, leading to penalties or blackouts.
21. Fuel Composition Variability
22. Risk: NOx emissions spike, combustion instability, or turbine damage.
23. ⚡ 4. Electrical System Integration Risks
24. Grid Non-compliance
25. Risk: Grid rejection or penalties due to voltage flicker, harmonics, or low inertia.
26. Black Start Failure
27. Risk: Delayed grid restoration in emergencies.
28. Inadequate Protection Coordination
29. Risk: Cascade faults, transformer burnouts, or unit isolation failures.
30. 🧯 5. Safety & Reliability Risks
31. Undetected Hazard Scenarios (e.g., gas leaks, overpressure)
32. Risk: Fire, explosion, injury, or plant shutdown.
33. Instrumentation Failure or False Trips
34. Risk: Erroneous shutdowns or safety function loss.
35. Aging Plant Components in Existing Plants
36. Risk: Fatigue failures or catastrophic events due to unaddressed wear and tear.
37. 🌱 6. Environmental and Regulatory Risks
38. Exceeding Emission Norms (NOx, CO, CO₂)
39. Risk: Fines, shutdowns, and reputational damage.
40. Non-Compliance with Water or Waste Discharge Regulations
41. Risk: Legal action or license revocation.
42. Noise and Thermal Pollution
43. Risk: Public opposition or stricter permits.
44. 💰 7. Cost Overruns and Delays
45. Scope Creep During Design Finalization
46. Risk: Redesign and procurement delays.
47. Inadequate Vendor Coordination
48. Risk: Mismatches in interfaces or late delivery.
49. Improper Budgeting of BOP Systems
50. Risk: Undervalued critical systems like cooling, water treatment, or control systems.
51. 🛠️ 8. Maintenance & Operability Concerns
52. Difficult Access for Maintenance
53. Risk: High downtime, safety risks, or prolonged outages.
54. Spare Parts Unavailability
55. Risk: Long MTTR (Mean Time to Repair), unplanned downtime.
56. No Provision for Remote Monitoring or Digital Diagnostics
57. Risk: Lack of predictive maintenance leading to failures.
58. 🧾 9. Documentation and Engineering Errors
59. Incomplete P&IDs or GA Drawings
60. Risk: Construction and commissioning conflicts.
61. Conflicting Design Criteria
62. Risk: Safety system and process control mismatches.
63. Version Control Errors in Multidisciplinary Drawings
64. Risk: Construction based on outdated or incorrect data.
65. 🔄 10. Change Management Failures
66. Unapproved Design Changes
67. Risk: Safety risks, non-compliance, or invalid warranties.
68. Insufficient Review of Modifications in Existing Plants
69. Risk: Incompatibility with legacy systems or unnoticed risks.
70. Summary Table – High-Risk Zones
71. Category Risk Level Typical Impact
72. Design Integration High Performance degradation, increased O&M cost
73. Fuel Supply & Quality Medium Reliability, combustion issues
74. Safety Systems High Fire/explosion, personnel injury
75. Environmental Compliance High Regulatory fines, operational limits
76. Grid Interface Medium Load rejection, penalties
77. Cost and Schedule Overruns Medium Financial loss, delayed commissioning
78. Preliminary Assessment
79. For New Projects:
80. Site Selection Review
81. Gas supply availability (pipeline or LNG)
82. Water resources, grid connectivity, land use, environmental constraints
83. Feasibility Study Validation
84. Energy demand analysis, financial modeling assumptions, risk assessment
85. Technology Selection Justification
86. Open Cycle vs. Combined Cycle (OCGT vs. CCGT)
87. Turbine type (Frame vs. Aero-derivative)
88. Fuel flexibility (natural gas, hydrogen blend capability)
89. For Existing Projects:
90. Performance Benchmarking
91. Efficiency, emissions, heat rate vs. design
92. Upgrade or Repowering Feasibility
93. Evaluate component aging, plant derating, potential efficiency gains
94. 🛠️ II. Design and Engineering Review
95. 1. Process Flow & System Design
96. Gas turbine configuration (GT), HRSG (Heat Recovery Steam Generator), STG (Steam Turbine Generator)
97. Water-steam cycle integration
98. Auxiliary systems (BOP - Balance of Plant): pumps, compressors, cooling towers
99. 2. Equipment Specification Review
100. Gas turbine sizing, make, and model comparison
101. HRSG configuration: once-through vs. drum-type
102. Steam cycle parameters (pressure, temperature, reheat)
103. Electrical generator capacity, power factor
104. 3. Mechanical & Piping Design
105. P&ID (Process and Instrumentation Diagrams) review
106. Pipe stress analysis, materials selection
107. Thermal expansion, vibration, and fatigue design
108. 4. Electrical Systems Review
109. Generator synchronization
110. Switchgear and transformer ratings
111. Protection schemes (LV, MV, HV), SCADA and DCS systems
112. 5. Control & Instrumentation (C&I)
113. DCS/PLC architecture, redundancy
114. Instrument calibration, SIL ratings for safety loops
115. Integration with plant management systems (EMS, MIS)
116. ♻️ III. Thermal & Performance Analysis
117. Heat and mass balance calculations
118. Cycle efficiency (simple vs. combined)
119. Specific fuel consumption and emissions projection
120. Load variation handling (base-load, peaking, cycling)
121. 🌍 IV. Environmental & Regulatory Review
122. NOx, SOx, CO2 emission control strategy
123. Cooling water discharge and chemical treatment
124. Noise and heat rejection compliance
125. Permitting and statutory approvals (MoEF, CPCB, local regulations)
126. 🧯 V. Safety & Reliability Review
127. Hazard and Operability Study (HAZOP)
128. Fault Tree Analysis (FTA), Failure Mode and Effect Analysis (FMEA)
129. Fire and Gas detection systems
130. Emergency shutdown systems (ESD), explosion-proof design zones
131. 🔄 VI. Integration & Grid Interface
132. Grid code compliance (voltage, frequency, ramp rates)
133. Black start capability, islanding schemes
134. Reactive power and power quality assessments
135. Synchronization strategy, protection coordination
136. 🏗️ VII. Constructability & Maintainability Review
137. Layout drawings and accessibility
138. Equipment transport and erection feasibility
139. Maintenance windows and overhaul intervals
140. Spare parts logistics, condition monitoring systems
141. 🧾 VIII. Documentation and Review Protocol
142. Design Basis Report (DBR)
143. GA (General Arrangement) drawings
144. 3D Model and Clash Detection (for large EPC projects)
145. Vendor drawings and data sheets approval process
146. 🔍 IX. Gap Analysis and Recommendations
147. Review gaps vs. best industry practices (ASME, IEC, API, IGEM)
148. Retrofit opportunities in existing plants
149. Upgrade justifications (e.g., Dry Low NOx burners, inlet air chilling, digital twins)
150. 🔚 X. Review Outcome: Go/No-Go Decisions
151. Technical clearance for detailed engineering/procurement
152. Value engineering proposals
153. Optimization for lifecycle cost, operability, and carbon footprint
154. What are the Key Leaveraging Ai Opportunities during this analysis
155. Leveraging Artificial Intelligence (AI) during the technical review of gas-based power plant design can significantly enhance the quality, speed, and insight of analysis—especially for large or complex projects. Below are the key AI opportunities categorized by function and phase of the review:
156. 🧠 I. Design Validation and Optimization
157. 🔹1. AI-Based Thermal Design Simulation
158. Use ML models trained on historical design data to simulate heat and mass balance, efficiency curves, and performance under various ambient conditions.
159. Benefit: Rapid what-if analysis, early-stage optimization of cycle configuration (e.g., GT + HRSG + STG layout).
160. 🔹2. Generative Design Algorithms
161. AI can generate optimized plant layout designs, routing of pipes, or equipment arrangements considering constraints (space, cost, thermal loss).
162. Benefit: Reduced human effort in iterative layout design; higher efficiency per footprint.
163. 🔍 II. Drawing and Documentation Analysis
164. 🔹3. AI-Powered Document Review
165. Use NLP models to analyze P&IDs, data sheets, and vendor documents for inconsistencies, missing fields, or mismatches with specifications.
166. Benefit: Eliminates manual errors; ensures completeness of data before procurement or construction.
167. 🔹4. 3D Model and BIM AI Tools
168. AI integration with Building Information Models (BIM) to automatically detect:
169. Clashes in piping or electrical routing
170. Maintenance accessibility gaps
171. Thermal expansion constraints
172. Benefit: Better constructability and maintainability assessment.
173. 🧪 III. Predictive Performance Assessment
174. 🔹5. Digital Twin Simulation
175. Train AI models on real-time and historical data to simulate plant performance and detect deviations from design expectations.
176. Benefit: Validate design assumptions, plan for derating or tuning in repowering projects.
177. 🔹6. Predictive Emissions Modeling
178. AI models predict emissions based on turbine loading, ambient temperature, and fuel composition.
179. Benefit: Helps design appropriate emission control systems and ensures regulatory compliance before installation.
180. 🔁 IV. Existing Plant Revamp and Lifecycle Analysis
181. 🔹7. AI-Based Aging & Degradation Modeling
182. Predict equipment life remaining using supervised learning from past outage and performance data (e.g., turbine blade life, boiler tube corrosion).
183. Benefit: Better investment planning in retrofits or component upgrades.
184. 🔹8. Anomaly Detection in Historical SCADA Data
185. ML models detect early signs of system stress or inefficiency.
186. Benefit: Informs decisions on whether design tweaks or overhauls are needed.
187. 📊 V. Risk and Safety Review
188. 🔹9. HAZOP AI Assistants
189. Use NLP-trained models to auto-identify hazards from P&IDs and operating conditions (based on HAZOP databases).
190. Benefit: Reduces time and increases coverage in hazard reviews.
191. 🔹10. Failure Mode Prediction
192. AI models trained on global power plant incident databases to identify likely failure modes given the current design or configuration.
193. Benefit: Proactive design changes to mitigate high-risk areas.
194. 🌐 VI. Grid Integration and Market Readiness
195. 🔹11. Grid Compatibility Simulation
196. AI models simulate plant interaction with real-time grid conditions (frequency, load, black-start capability).
197. Benefit: Assure compliance with evolving grid codes, simulate islanding and reactive power performance.
198. 🔹12. Energy Market Forecasting AI
199. Use AI to predict gas prices, peak power demand, and regulatory changes to align plant design with future market realities.
200. Benefit: Align design and fuel strategy with long-term viability.
201. 📚 VII. Knowledge Management & Decision Support
202. 🔹13. AI-Powered Design Knowledge Repository
203. Use AI to auto-index and retrieve relevant clauses, lessons, and checklists from past design reviews.
204. Benefit: Continuity of institutional knowledge and fewer oversights in new reviews.
205. 🔹14. Chatbot/Expert Assistant
206. Trained LLM-based assistant for engineers to query design code clauses, best practices, and troubleshooting insights.
207. Benefit: Real-time guidance during design meetings or reviews.
208. ✅ Summary Table – AI Opportunities & Benefits
209. AI Opportunity Benefit Applicability to Phase
210. Thermal Simulation Optimization Enhanced efficiency, faster design loop Early Design
211. Document Inconsistency Detection Error reduction, faster review cycles Design Review
212. Digital Twin Modeling Validate design assumptions New & Retrofit
213. Predictive Emissions Modeling Regulatory readiness Environmental Review
214. Degradation & Anomaly Detection Lifecycle planning, upgrade decisions Existing Plants
215. HAZOP Automation Safety coverage and speed Safety Analysis
216. Market Forecasting AI Strategic investment alignment Feasibility/Planning
217. Would you like help selecting specific AI tools or platforms that implement these capabilities (e.g., AVEVA, GE Digital, AspenTech, or in-house LLM-based solutions)?
218. Operational and Leadership Aspects of this implementation
219. The implementation of a technical review process for gas-based power plant design, enhanced with AI capabilities, requires strong operational planning and leadership alignment. Below is a structured overview of the operational and leadership aspects involved in successfully executing this initiative:
220. 🏭 I. Operational Aspects
221. 1. Interdisciplinary Coordination
222. Involved Functions: Mechanical, Electrical, Civil, C&I, Environmental, Procurement, and Operations.
223. Actions:
224. Define a coordinated design review workflow across all functions.
225. Use centralized project management tools (e.g., MS Project, Primavera) and integrated data environments.
226. 2. Standardized Review Framework
227. Develop a structured Design Review Checklist covering:
228. Thermal cycle design
229. Equipment sizing and specs
230. Grid interface
231. Safety and environmental compliance
232. Use AI-assisted templates to ensure uniformity across projects.
233. 3. Data-Driven Review
234. Input: Vendor data, P&IDs, layout drawings, simulation results, historical plant data.
235. Tools:
236. Digital twins for real-time validation.
237. AI/NLP tools for document parsing, gap detection, and cross-checking against design criteria.
238. 4. Integration of AI Systems
239. Define AI-assisted modules for:
240. Performance prediction
241. Emissions estimation
242. Maintenance planning
243. Ensure IT infrastructure supports cloud/hybrid AI platforms with secure data pipelines.
244. 5. Change Control and Risk Management
245. Embed AI-driven change impact analysis into the design review process.
246. Use digital workflows to:
247. Approve changes
248. Track version histories
249. Ensure traceability and compliance
250. 6. Training & Capability Building
251. Regular workshops on:
252. AI tools usage (e.g., digital twin, anomaly detection)
253. Technical review standards (API, IEC, ASME)
254. Train staff in data literacy to interpret AI outputs for decision-making.
255. 👨‍💼 II. Leadership Aspects
256. 1. Vision and Strategy Alignment
257. Leadership must align the plant design review initiative with:
258. Decarbonization goals
259. Cost competitiveness
260. Energy transition strategies (e.g., hydrogen-ready, flexible operations)
261. 2. Cross-Functional Governance
262. Establish a Design Review Governance Board including:
263. Engineering leads
264. Operations heads
265. Safety & compliance officers
266. Responsibilities:
267. Approve critical design decisions
268. Ensure stakeholder accountability
269. Validate AI system outputs before adoption
270. 3. Technology Investment Oversight
271. Leadership to:
272. Approve capex/opex budgets for AI tools and infrastructure
273. Evaluate ROI based on risk mitigation, design optimization, and review cycle time reduction
274. 4. Culture of Data-Driven Decisions
275. Promote a shift from expert-opinion-based decisions to evidence- and AI-supported judgment
276. Encourage design transparency and collaboration using AI dashboards and digital reviews
277. 5. Performance Monitoring and KPIs
278. Define leadership-level KPIs such as:
279. KPI Purpose
280. Design Review Cycle Time (days) Speed of multidisciplinary review
281. % of Design Deviations Identified Thoroughness of technical validation
282. Risk Mitigation Success Rate Effectiveness of early risk prediction
283. AI Adoption Rate per Review Phase Integration progress of AI systems
284. Rework Reduction in EPC Phase (%) Downstream benefits of better reviews
285. 6. Regulatory and Stakeholder Engagement
286. Ensure senior leadership liaises with:
287. Regulatory authorities for approvals
288. Grid operators and gas suppliers
289. Lenders, insurers, and JV partners for design assurance
290. ✅ Summary – Operational vs. Leadership Focus
291. Area Operational Focus Leadership Focus
292. Process Structure Workflow, tools, checklists Governance framework, accountability
293. AI Integration System architecture, data ingestion Strategic alignment, funding
294. People & Skills Engineering and AI upskilling Change management, cultural shift
295. Risk Management Impact analysis, traceability Risk appetite, external communication
296. Performance Monitoring Technical KPIs, anomaly detection Strategic KPIs, review outcomes

Program General Methodology



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Euro Training is in the business of providing

1. Knowhow and Technology Transfer to the Participants. Building relevant Understanding, Competencies & Process Knowledge.
2. Multi-discipline understanding of Program Topics.
   Means that post program when participant takes decisions, related to his work, participant will automatically and subconsciously consider and take into account (as applicable) Internal & External Customer Needs and Expectations, Operational & Strategic Objectives, Regulatory Aspects, Industry Standards, Technology Options, Understand Helpful Modern Tools and Methods, Understand Risks, Actions for Increasing Productivity, Legal & Contractual Aspects, Intellectual Property Aspects, Safety, Security, Audit, Cost Benefit Aspects, Value Engineering Opportunities, Key Performance Indicators, Meaningful Performance Evaluation System, and, Data Analytic Opportunities.
   This type of understanding and habit otherwise develops after years of rich and diverse work experience. (few get this opportunity)
3. Knowledge Framework outline which will enable the participant to understand and learn the right lessons from his own past, present and future on-the-job experience.
4. Training that will empower the participant to identify, support and implement improvements in his work area, team, section, department, and organization.

This 1 Week Training Program participant will typically take away...

1. Program related knowhow, skills, competencies and process knowledge.
   This program will use case studies and benchmarked Good and Best Practices to enhance participant understanding and competencies.
2. Domain Knowledge and process knowledge.
   The participant will become empowered and should become more Productive, Effective, Efficient, Customer Focused and Strategic Focused.
   At the end of the program, the Participant will prepare a Customized Outline Action Plan which will serve as the roadmap to implement some key improvements in his work area.

(Benefits made possible by Euro Training's unique, multidiscipline, customer focused, strategic focused, easy to understand and apply training methodology that relies on Industry Good and Best Benchmarked Practices)

• Euro Training programs are different. They develop practical Job Skills.
  This program is designed to make the participant aware of the domain processes, multi-discipline skills and competencies related to his job responsibilities.
  Each program is customized and made useful for the particular participant group, our target is 90%+ topics directly applicable to the work today or in future.
  Benefits you may see in participant post program...
• Inclination to Recognize his stakeholders, and their needs & expectations. He will also get understanding of how to analyze to find ways to exceed customer expectations and delight the customers.
• High level Job skills & competencies
• Taking Initiative to Propose Improvements in Work Responsibility Area.
• Further, this program will Build Multi-Discipline Understanding, Skills and Competencies including (as relevant)...
• Increased Technical and Process Knowhow
• Awareness to the Need to align performance to the Needs and Expectations of Stakeholders/ Customers (internal & external)
• Awareness of the Need to Align performance to Organizational Operational and Strategic Objectives.
• Understanding Domain Good Management Practices, and, Awareness to meet Requirements and Recommendations of the Relevant Industry and Professional Standards.
• Awareness to consider for possible application the Best Benchmarked Domain Practices that can assist making Dramatic Process Improvements.
• Type of improvements the participant will be trained to analyze and implement include (as relevant) Productivity Improvements, Product and Service Differentiation and Exceeding Stakeholder & Customer Expectations.
• Euro Training Instructors often act as mentors for participants (solely subject to instructor approval). Your participants can utilize this free service to ensure effective post program reinforcement and help when applying the ideas, skills and competencies acquired during the training.

1. First, and most important benefit, is the positive self-esteem that will come from being able to do your work right first time and meet internal and external customer expectations.
2. Second, the Program developed Understanding, Skills & Competencies will help you successfully present your professional and Team skills at Job Interviews and Internal Performance Evaluation Reviews.
3. You gain a clear direction for analyzing, proposing and implementing improvements in his work area.
   The outline action plan you prepare and take away after the program will help you take improvement initiatives and make a positive difference in your performance on the job, team, business unit or organization. This difference after implementation and when added to your resume will make you a prime candidate for career advancement in your own organization or in your next job.
4. Post program when you take decisions related to your work processes you will automatically consider (as applicable): Internal & External Customer Needs and Expectations, Technology Options, Helpful Tools and Methods, Consider Risks, Mitigate Risks, Take Actions that Increasing Productivity, Consider Legal & Contractual Aspects, Consider Intellectual Property Aspects, Pay attention to Safety and Security, Consider future Audit, Weigh Cost Benefit between options, Be Mindful of Key Performance Indicators (KPIs), Consider how Performance will be evaluated, and, Consider need for and Opportunity to Develop a Decision Support Knowledge Base, .... (and possibly more multi-discipline aspects).

Team Nominations : Team Nominations: It is recommended that your organization nominate at least two participants together for this program. This will help the participants create a Critical Mass for the Change and enable the participants to support each other during implementations of the program recommendations and the other methodologies learnt during the program.

Single Nominations will also be accepted for the program.

Single participant nominations will be useful where the objective is to:-

1. Refresh and Upgrade Relevant skills, make the participant familiar with the Relevant Latest Tools, Techniques and Methods. Single participants can also be considered where the objective is to quickly bring the employee up to level required for independent productive working.
2. Train promising experienced employee to take on Mentoring/ Instructor roles in program knowledge area.
3. Train individuals for Leadership Role in his Team, Section, Business Unit, Department or Organization.

All Programs are in English. Arabic Language Support is also available. French and Spanish Translation Service is available by prior arrangement.

Certificate of attendance is awarded to all Participants attending this program.

• Classroom Training £4,315 (USD $5,500) per participant. Online eTraining Fee £3,000 (USD $3,750) per participant.
• Training and Workshop Materials are included in the Fees. These training materials can also be purchased separately for £1000 ($1,250) each set for your Library or Internal Training Needs.

1. To register: Please send us an official letter confirming registration (on organizational letterhead or company email). And send us a completed registration form electronically fillable is available at https://www.eurotraining.com/etl-reg.php You can request or registration form by Emailing regn@eurotraining.com and eurotraining@gmail.com
2. For Program Fee Information Email: fees@eurotraining.com . Fees are Payable by Bank Transfer or Bank Draft. Fee information is available at: https://www.eurotraining.com/fees.php .
3. Program Fee is
   • 1 week (5 day/40 hrs) Training Program:
     At USA, Dubai, Kuwait, New Delhi, Qatar USD $5,500 per participant.
     At London, Europe, Malaysia, Singapore USD $6,050 per participant.
     Online eTraining Fee USD $2,500 per participant.
   • 6 day (45 hrs) Training Program (includes 1 day workshop): At USA, Dubai, Kuwait, New Delhi, Qatar USD $6,500 per participant.
     At London, Europe, Malaysia, Singapore USD $7,150 per participant.
     Online eTraining Fee USD $3,125 per participant.
   • 2 week (80 hrs) 2 week (80 hrs) Process-by-Process Approach Training :
     At USA, Dubai, Kuwait, New Delhi, Qatar USD $8,900 per participant.
     At London, Europe, Malaysia, Singapore USD $9,790 per participant.
     Online eTraining Fee USD $4,375 per participant.
   • 3 week (110 hrs) Advanced Training Program (includes 1 week training + 1 week workshop + 1 week advanced training) (if available):
     At USA, Dubai, Kuwait, New Delhi, Qatar USD $13,800 per participant.
     At London, Europe, Malaysia, Singapore USD $15,180 per participant.
     Online eTraining Fee USD $6,250 per participant.
   • 4 week (150 hrs) Professional Certification Training Workshop (includes 1 week training + 1 week workshop + 1 week advanced training + 1 week domain professional skills)(if available):
     At USA Locations, Dubai, Kuwait, New Delhi, Qatar USD $17,800 per participant.
     At London, Europe, Malaysia, Singapore USD $19,580 per participant.
     Online eTraining Fee £6,000 (USD $7,5000) per participant.
   and includes Course Materials, Certificate, Refreshments and Lunch (classroom programs). www.eurotraining.com/admin/fees.php)
4. Accommodation is not included in Program fee. Special rates will be available at venue hotel for the class room training program participants.
5. Special discount of 10% is offered for participants who pay their fees at least 45 days before start of the program.
6. Refund will not be considered where the participants cancels his registration less than 3 weeks before start of the program. Alternate nominations will be allowed anytime before program start. In case of exceptional hardship or emergency participant may be allowed to attend at another location.
7. All participants are required to fill in Participant Information form - on first day of the program. Each program Undergoes Customization to Better Meet Participant Present and Future Career Needs. Please be prepared to let the Instructor/s know about your organization's Special Needs, Interests or Initiatives.
8. It is always useful for participants to bring their existing problems or case studies, work-process flow charts or job related problems for discussion - consideration will be at sole discretion of the program director/s.
9. Provisional Registration : You can make a provisional registration by sending us an email – an official registration request can be made within 2 weeks. This will ensure we will reserve a seat. If The official registration request is not received within 2 weeks or at least 2 weeks before program start this provisional registration is automatically cancelled – we do request you to infrom us asap you have decided either way. All provisional registrations automatically cancel 2 weeks before program start.
10. Information required for Provisional Registration: Program Title, Location, Dates, Your Organization Name, Your Email Address, your Mobile Number.