Big Data and Artificial Intelligence Principles and Practices Training Courses - Dubai | Meirc
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Data Management and Business Intelligence

Big Data and Artificial Intelligence Principles and Practices

Why Attend

This 5-day course is a combination of the two back-to-back courses: Big Data Principles and Practices (3 days) and Artificial Intelligence Principles and Practices (2 days).  It provides a discounted, 5-day option to participants who choose to learn about both topics and their roles in Data Management.

The rise of Big Data has accelerated the pace of disruption in virtually every industry, creating vast ambiguity and unease. However, these changes are also creating enormous opportunities, as the tools to prosper during the age of Big Data disruption are becoming more accessible and available. To become a disruptor, embracing Big Data and deep diving into the technology is only a part of the answer. It needs to be combined with understanding how Big Data can drive value within our functions, companies, and industries.

Furthermore, organizations are creating an avalanche of data, and with Artificial Intelligence (AI) technology we can put that data to work in order to increase benefits and reduce costs. With modern technology we can use structured and unstructured data and apply Artificial Intelligence to bring new possibilities to improve decision making, improve company performance and augment human capabilities. However, this new field of science comes with new terminologies, technologies, jobs and organizational processes.

During this course participants gain a thorough understanding of how Big Data and Artificial Intelligence are creating new insights that are enabling organizations to develop better products, to service clients in a more personal manner, and to make supply chain processes more efficient. Participants also gain insight into the transformation their organization can go through to become data driven. 

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Course Methodology

This courses applies a variety of interactions, ranging from team-work on case studies, to individual work on applying templates to their own experience, to group discussions about joint challenges. 

Course Objectives

By the end of the course, participants will be able to:
  • Assess and explain the value that Big Data and AI can deliver to their industries, companies, and functions
  • Demonstrate Big Data and AI technologies and their benefits
  • Develop the maturity of Big Data within their organization
  • Apply a variety of use cases to drive ideation
  • Build an organization-wide Big Data program
  • Discuss on a qualified level with business and data specialists on relevant topics

Target Audience

This course is designed for: organizational managers and leaders looking to understand Big Data and Artificial Intelligence, and take ownership of the data management agenda within their companies; functional leaders that are designing the Big Data and/or AI Roadmaps for their function; Big Data practitioners ready to take a business view on Data Management; and experienced practitioners looking to gain latest insights.

In short, this course is for managers wanting to identify what Big Data and Artificial Intelligence can do for them and to drive the Data and Digital Transformation, rather than understand the technical methodologies of what happens underneath its hood. 

Target Competencies

  • Formulate business objectives for Big Data
  • Project management of Big Data and/or AI
  • Big Data and AI change management
  • Big data technology sensing
  • AI Best Practice Application
  • Value Creation with Big Data
    • Introduction to Big Data technologies
    • Trends in Big Data
    • Big Data applications, use cases and best practices across industries and functions
    • Data sourcing strategies and challenges
    • Ideation phase: creating first successes
    • From ideation to Proof-of-Concept and minimum viable product
  • Managing Big Data Transformation
    • Big Data Maturity model
    • Developing a Big Data roadmap
    • What does good look like: determining your Big Data end game
    • Orchestrating Big Data maturity across data, technology and people
  • Big Data Leadership
    • Lean/agile working in support of Big Data transformation
    • Key success factors for adoption of Big Data at speed
    • Required skills & competencies for successful digital transformation
    • Understand the mindset of digital disruptors
  • Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Data Science
    • AI in historical setting and combinatorial technologies
    • Introduction to AI, concepts, narrow and general AI
    • Different types of AI
    • AI - sense, reason, act
    • The thinking in AI: Machine learning
  • Advanced Analytics vs Artificial Intelligence
    • Looking back, now, forward
    • 4 types of data analytics
    • Analytics value chain
  • Algorithms but without technical jargon
    • Supervised learning
    • Unsupervised learning
    • Reinforcement learning
  • Data as fuel for AI
    • Structured and unstructured data
    • The 5 V’s of data
    • Data governance
  • The data engineering platform
    • Just enough to understand the data architecture
    • Big data reference architecture
    • 3 categories of data usage
  • AI opportunity matrix
    • Successful use cases by Porter’s value chain
      • Primary activities
      • Supporting activities
    • Successful use cases by technology
      • NLP
      • Image recognition
      • Machine learning
  • Ideation of AI projects
    • AI Funnel process
    • Several idea generation approaches
    • Prioritize projects
    • AI project canvas
  • Running of AI projects
    • Machine learning life cycle
    • AI machine learning canvas
    • When to make and when to buy AI solutions
  • How to transform to an AI ready organization
    • Use the AI strategy cycle
    • Dimensions of the AI framework
    • Practical approach to assess the AI maturity of the organization
    • Best organizational structures
    • Benefits of an AI Center of Excellence
    • Skills and competencies
  • AI and ethics
    • Risks of AI
    • Ethical guidelines
    • Realizing trustworthy AI​

Meirc Professional Certificate (MPC)

MPC certified courses by Meirc Training and Consulting are designed for those willing to challenge themselves and go the extra distance. Participants who fully attend an MPC course and successfully complete the test on the last day, will receive a Meirc Professional Certificate (MPC), in addition to the one they receive for attendance. MPC certificates are regionally recognized and can be quite valuable when applying for more senior roles within the organization or outside.

Per participant - 2019

USD 4,800

Per participant

USD 4,900

Fees + VAT as applicable

Tax Registration Number : 100239834300003

(including coffee breaks and a buffet lunch daily)

2020 - Location & Date

15 - 19 Nov, 2020
Double Tree Hilton – Business Bay Hotel          
Meirc reserves the right to alter dates, content, venue and trainer.

2021 - Location & Date

5 Days Course

No Schedules!
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Meirc reserves the right to alter dates, content, venue and trainer.