Ai Knowledge Systems USA Limited / Ai Knowledge Systems Limited Training Programs, Workshops and Professional Certifications


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Training Programs

Professional Skills & Leveraging Ai


Good & Best Practices



Incorporating in Each 1 Week Training

Domain Knowhow  |  Domain Ai Leveraging Opportunities  |  Reviewing & Validating AI Outputs  |  Interrogating AI Systems  |  Each program participant will get 1 year free individual license access to a Program Domain Specific AI System to Answer his job related queries
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DAI745-2

2 Week Job Process Performance & Productivity Process Skills Training

Data Acquisition & Preparation Processes
for Data Analysis & Artificial Intelligence Applications

Building Skills in

  1. Data Extraction and Filtering

  2. Validating & Cleaning Collected Data

  3. Correcting Collected Data

  4. Aggregating and Presenting Collected Data

www.eurotraining.com/bro/dai745-1.php

1 Week Training Programs


Kualalumpur & Online

14-18 July 2025
Training Program

Las Vegas, USA & Online

28 July - 1 Aug 2025
Training Program

London & Online

11-15 Aug 2025
Training Program

New York & Online

25-29 Aug 2025
Training Program

London & Online

8-12 Sept 2025
Training Program

Istanbul & Online

22-26 Sept 2025
Training Program

Seattle, USA & Online

8-10 Oct 2025
Training Program

New York & Online

20-24 Oct 2025
Training Program

Las Vegas, USA & Online

3-7 Nov 2025
Training Program

London & Online

17-21 Nov 2025
Training Program

New York & Online

1-5 Dec 2025
Training Program

Seattle, USA & Online

15-19 Dec 2025
Training Program

London & Online

29 Dec 2025- 2 Jan 2026
Training Program


Programs Daily Start & Finish
8:00 AM - 2:00 PM
Venue Local Time


Useful Links


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What is Covered in this Job Process Workshop?

  1. Garbage-in Garbage-out Applies to Data Analytics. Therefore Data Acquisition and Initial Processing is an Important Part of Data Science Knowledge.
    This Work Process Skills program provides the participant understanding of the full range of Protocols, Frameworks, Software and methods to analyze and understand Big Data Acquisition, Filtering, Cleaning & Integration needs, technologies, methods, eMethods, key success factors, procedures, processes, forms, checklists, controls, feedback, improvements and strategic alignment.
  2. Develop robust processes for acquiring and preparing data for data analysis and AI applications. Ensure efficient collection of internal and external data for diverse business decision models.

Implement effective data extraction, filtering, validation, and cleaning techniques. Correct data inconsistencies to ensure accuracy and reliability.

  1. Aggregate and present data in formats optimized for business insights and AI applications.
  2. Establish data preparation practices that align with organizational goals and data governance standards.

The skills and competencies developed will include understanding the Data Needs of Business Models; Methods and Tools for Data Extraction and Filtering; Methods and Tools for Validating & Cleaning Collected Data; Logic, Need, Methods and Tools for Correcting Collected Data; Logic, Need, Methods and Tools for Aggregating and Presenting Collected Data.

Who Should Attend?


  1. This Work Process Skills program is primarily meant for Data Analytics Data Engineers and Managers.
  2. Program is also recommended for All Data Analytic, Business Intelligence and Artificial Intelligence Team Members so they can understand, guide and verify the Data Presented for Analysis by the Business Decision Models. Program will also be useful for Data Analytics Research & Development Teams and Data Scientists.
  3. Program Content & Modules
  4. Data Acquisition & Preparation Processes
    for Data Analysis & Artificial Intelligence Applications
    Data Acquisition, Filtering, Cleaning & Integration
  5. Importance of data acquisition and preparation for effective AI and business decision-making.
  6. Overview of internal vs. external data sources and their relevance to organizational objectives.
  7. Challenges in preparing data for analytical and AI models, including quality, volume, and consistency.
  8. Data Acquisition & Preparation Strategy Processes
  9. Define objectives for data acquisition aligned with business and AI goals.
  10. Identify key internal and external data sources, including transactional systems, IoT devices, social media, and third-party APIs.
  11. Develop a data preparation roadmap, ensuring scalability and alignment with organizational data governance policies.
  12. Data Acquisition Processes
  13. Collect internal data from operational systems, CRM platforms, ERP systems, and databases.
  14. Acquire external data through APIs, web scraping, surveys, and licensed third-party datasets.
  15. Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) during acquisition processes.
  16. Data Extraction and Filtering Processes
  17. Extract raw data from diverse sources, including structured, semi-structured, and unstructured formats.
  18. Filter out irrelevant or redundant data using predefined criteria to focus on actionable insights.
  19. Use ETL (Extract, Transform, Load) tools to automate the extraction and filtering pipeline.
  20. Data Validation Processes
  21. Validate data against predefined rules and thresholds to ensure consistency and integrity.
  22. Cross-check collected data with known benchmarks or standards to detect anomalies.
  23. Use AI and machine learning tools to identify patterns and flag inconsistencies in data.
  24. Data Cleaning Processes
  25. Identify and correct errors such as duplicate entries, missing values, and outliers.
  26. Standardize data formats, such as date and time conventions or unit measurements.
  27. Remove noise from unstructured data (e.g., removing irrelevant words from text or normalizing images).
  28. Data Correction Processes
  29. Replace or impute missing data using statistical methods or machine learning techniques.
  30. Address outliers through analysis and contextual judgment to maintain data reliability.
  31. Reconcile conflicting data points by tracing them back to the source and applying business rules.
  32. Data Aggregation Processes
  33. Combine data from multiple sources to create unified datasets suitable for analysis.
  34. Group and summarize data into meaningful categories, such as totals, averages, or trends.
  35. Apply dimensionality reduction techniques (e.g., principal component analysis) for complex datasets.
  36. Data Presentation Processes
  37. Format aggregated data for visualization tools such as dashboards and reports.
  38. Use charts, graphs, and tables to communicate data insights effectively to stakeholders.
  39. Ensure data formats are compatible with machine learning algorithms and analytical tools.
  40. Performance Evaluation Processes
  41. Measure the quality of prepared data using metrics such as accuracy, completeness, and timeliness.
  42. Monitor data preparation processes to identify bottlenecks and areas for improvement.
  43. Evaluate the impact of data preparation on the performance of business decision models and AI systems.
  44. Best Practices in Data Acquisition & Preparation
  45. Automate repetitive tasks such as data extraction, cleaning, and aggregation to save time and reduce errors.
  46. Use metadata to track data provenance, ensuring transparency in data handling.
  47. Adopt scalable tools and platforms for handling large datasets, such as cloud-based storage and processing systems.
  48. Continuously refine data preparation workflows based on feedback from AI models and decision-makers.
  49. Data Acquisition & Preparation Use Cases

1 Week Training Program

Outcomes & Takeaways

Outcomes and Takeaways Overview
  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 to the Organization Sponsoring Participants to this program

(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.

Participant Individual Career Benefits

  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).

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Registration & Fee Information

  1. Fee information is also available at:   PROGRAM-FEE-PAGE   Special Discounts May be Available Please email scholarships@eurotraining.com.
  2. To register please send us an official letter confirming registration (on organizational letterhead or company email), or, send us a completed registration form above. GET MSWORD REGISTRATION FORM .
  3. Fees are Payable by Bank Transfer or Bank Draft.
    • Program Fee for 1 Week (5 day/40 hrs) Training Program is:

      (1) At USA, Dubai, Kuwait, New Delhi, Qatar USD $5,500 per participant.

      (2) At London, Europe, Malaysia, Singapore USD $6,050 per participant.

      (3) If Attending Online Training Fee is USD $2,500 per participant.
    Fee includes Course Materials, Certificate, Refreshments and Lunch (classroom programs).
  4. Accommodation is not included in Program fee. Special rates may be available at venue hotel for participants.
  5. A Special discount of 10% is offered for participants who pay their fees at least 45 days before start of the program.
  6. Cancellation & Date Change: No Fee Refund if participant cancels his registration less than 3 weeks before start of the program. Alternate nominations may be allowed if requested atleast 2 weeks before program start. In case of exceptional hardship or emergency participant may be allowed to attend same program at another location or date on payment of 10% of fee.
  7. All participants are required to fill in Participant Information Form and Program Related Questionnaire - on first day of the program.
  8. Each program Undergoes Customization to Better Meet Participant Present and Future Job and Career Needs. Please be prepared to let the Instructor/s know about your organization's Special Needs, Interests or Initiatives.
  9. 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.
  10. Provisional Registration : You can make a provisional registration request by sending us an email using an official email account. Provisionsl registration request, when confirmed by Ai Knowledge Systems, will reserve a seat for you for 14 days. After our Confirmation you have 2 weeks to send us an official registration request. Provisional registration is automatically cancelled at the earlier of (1) 2 weeks after Provisional Registration Confirmation if registration is not reconfirmed from your side (2) Two weeks before start of the program. We do request you to inform us ASAP you have decided either way.

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Ai Knowledge Systems USA Limited LLC

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