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Master’s Degree in Artificial Intelligence, Model Management and Implementation

Structuralia

Master

Online

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£ 2,773.76 VAT inc.

*Indicative price

Original amount in EUR:

3,245 € 6,490 €

Build up a career in Artificial Intelligence!

  • Type

    Master

  • Methodology

    Online

  • Duration

    12 Months

  • Start date

    Different dates available

This Master’s degree has been conceived to respond to the growing need for knowledge and skills in the development of AI models and algorithms demanded by today’s technology-driven market. As a matter of fact, many specialized staffing companies point to AI as one of the knowledge assets that will be most demanded in the coming years, considering that the AI sector is expected to have a global business volume of 16 trillion dollars by 2030. This program has been designed to benefit all professional profiles, with an introduction to AI basics that does not require extensive prior knowledge of programming and statistics.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Private Degree endorsed

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Reviews

Subjects

  • Artificial Intelligence
    1

    1 students say they acquired this skill

  • Algorithms
  • Advanced Deep Learning
    1

    1 students say they acquired this skill

  • Data visualization tools
    1

    1 students say they acquired this skill

  • Machine Learning
    1

    1 students say they acquired this skill

  • Technology ECOSYSTEMS
    1

    1 students say they acquired this skill

  • IMPACT ON A BUSINESS
    1

    1 students say they acquired this skill

  • Project Management
  • IDEATION METHODOLOGIES
  • DATA SCIENCE PRACTICAL APPLICATIONS
    1

    1 students say they acquired this skill

  • AI
    1

    1 students say they acquired this skill

  • Technology
  • Engineering
  • Engineering Skills
  • Engineering Science
  • Engineering Management
  • Engineering Mathematics
  • Mechanical Engineering
  • Mechanics
  • Science

Teachers and trainers (1)

Nicolás Fernandez López

Nicolás Fernandez López

Academic Director

Telecommunications Senior Engineer from The University of Seville (US). International MBA from IE Business School and AI expert from MBIT. Nicolás has over 14 years of experience in the fields of technology, innovation, customer experience and organizational transformation in organizations such as DGT, Metro de Madrid, BBVA, ThyssenKrupp, PwC, ArcelorMittal, EDP and Ericsson. Nicolas is currently in charge of Servitelco’s, Customer Service in organizations. He is also co-founder of CEXIA, a start-up that helps companies understand and apply Artificial Intelligence to theirbusiness models.

Course programme

MODULE I Introduction to Artificial Intelligence (AI)

  • Unit 1: Introduction to AI
  • Unit 2: Brief History of AI: From Myth to Reality
  • Unit 3: Key Concepts, Agents, and Knowledge Representation
  • Unit 4: Problem Solving: Automated Reasoning and Search
  • Unit 5: Automated Learning: Supervised, Unsupervised, Reinforcement Learning I
  • Unit 6: Automated Learning: Supervised, Unsupervised, Reinforcement Learning II
  • Unit 7: Big Data: Learning with Million Data
  • Unit 8: Human-Machine Interaction: Artificial Vision and Natural Language Processing
  • Unit 9: The Future of AI: Ethical Issues and Diversity

MODULE II Self-service Excel, Talend and Trifacta Data

  • Unit 1: Data Preparation
  • Unit 2: Excel
  • Unit 3: Talend Data Preparation
  • Unit 4: Trifacta Wrangler

MODULO III Data Mining, Machine Learning and Deep Learning

  • Unit 1: Supervised Learning (I)
  • Unit 2: Supervised Learning (II)
  • Unit 3: Unsupervised Learning
  • Unit 4: Deep Learning

MODULE IV Advanced Deep Learning

  • Unit 1: Supervised Deep Learning (I)
  • Unit 2: Supervised Deep Learning (II)
  • Unit 3: Unsupervised Deep Learning (I)
  • Unit 4: Unsupervised Deep Learning (II)

MODULE V Data Visualization Tools

  • Unit 1: Working with Data in BI Desktop
  • Unit 2: DAX in Power BI Desktop
  • Unit 3: Advanced Power BI Reporting
  • Unit 4: Interactions Microsoft Ecosystem Tools

MODULE VI Machine Learning, Deep Learning and Data Science Practical Applications

  • Unit 1: Machine Learning. Python Algorithm Implementation and Machine Learning Tools and/or Libraries
  • Unit 2: Deep Learning. Python Algorithm Implementation and Deep Learning Tools and/or Libraries
  • Unit 3: Data Science. Data Analysis and Visualization through PowerBI
  • Unit 4: Real Application Development

MODULE VII Technology Ecosystems

  • Unit 1: Introduction to Technology Ecosystems
  • Unit 2: Enabling Technologies I
  • Unit 3: Enabling Technologies II
  • Unit 4: Enabling Technologies III

MODULE VIII Ideation Methodologies and Techniques and AI Project Management

  • Unit 1: Introduction
  • Unit 2: Design Thinking
  • Unit 3: Lean Start-up and Scrum (I)
  • Unit 4: Application to AI projects

MODULE IX The Impact of AI on Business

  • Unit 1: AI Applied to other Sectors
  • Unit 2: AI Applied to Different Business Areas
  • Unit 3: AI and Entrepreneurship
  • Unit 4: Ethics. Business and Society

MODULE X Master’s Final Project (MFP)

The program is subject to possible content updates and upgrades

See related categories

  • Artificial Intelligence Postgraduate Degrees
  • Hardware, Networks and Security Postgraduate Degrees
  • Distance learning Hardware, Networks and Security Postgraduate Degrees
  • Structuralia Postgraduate Degrees

Master’s Degree in Artificial Intelligence, Model Management and Implementation

£ 2,773.76 VAT inc.

*Indicative price

Original amount in EUR:

3,245 € 6,490 €