Theunet AI

06 Theunet AI principle

Continuous learning

Continuous learning helps Theunet assess changing technologies carefully and apply current methods responsibly.

What this means at Theunet

Applied with clear purpose

Professional certification, completed academic foundations, ongoing postgraduate study and practical experimentation each play a distinct role.

Related capabilities

Practical areas of capability

  • More than six years across data engineering, analytics, machine learning and cloud technology
  • Scalable data pipelines and analytics platforms
  • Predictive models and machine-learning solutions
  • Data-quality and monitoring frameworks
  • Business-intelligence dashboards and reusable datasets
  • Technical leadership and mentoring
  • Responsible data management, documentation and governance

Relevant certifications

Completed professional certifications

Each credential is presented only within its stated capability category.

Completed

AWS Certified AI Practitioner

Issuer
Amazon Web Services
Category
Artificial intelligence

Completed

AWS Certified Data Analytics – Specialty

Issuer
Amazon Web Services
Category
Data engineering

Completed

AWS Certified Solutions Architect – Associate

Issuer
Amazon Web Services
Category
Cloud architecture

Completed

AWS Certified Developer – Associate

Issuer
Amazon Web Services
Category
Cloud development

Completed

AWS Certified Cloud Practitioner

Issuer
Amazon Web Services
Category
Cloud foundations

Completed

Microsoft Certified: Azure Fundamentals

Issuer
Microsoft
Category
Cloud foundations

Completed

HashiCorp Certified: Terraform Associate

Issuer
HashiCorp
Category
Infrastructure as code

Completed

Snowflake Hands-On Essentials: Data Warehousing

Issuer
Snowflake
Category
Data warehousing

Completed

Microsoft: Analyzing and Visualizing Data with Power BI

Issuer
Microsoft
Category
Business intelligence

Completed

MITx Introduction to Computer Science and Programming Using Python

Issuer
MITx
Category
Programming

Current learning and research

Capability that continues to develop

In progress

Master of Science in Artificial Intelligence

  • Machine learning
  • Natural-language processing
  • Transformer models
  • Responsible AI
  • AI governance
  • Production AI systems

Current learning

Learning related to continuous learning

The Master of Science in Artificial Intelligence is in progress, with current learning in machine learning, NLP, transformers, responsible AI, governance and production AI systems.

Current research: Researching ethical, human-supervised multilingual transformer systems for classifying, geotagging and mapping gender-based violence reporting in Kenyan digital news.

This is ongoing academic research; the system is not presented as completed or publicly deployed.

Completed qualification

Bachelor of Science in Actuarial Science

A strong foundation in statistics, quantitative analysis and risk.

Education and certification map

Completed foundations and learning in progress

Artificial intelligence

  • AWS Certified AI Practitioner — completed
  • MSc Artificial Intelligence — in progress
  • Machine learning and natural-language processing — current learning
  • Transformer models, responsible AI and governance — current learning
  • Human-supervised systems — current research

Cloud and data engineering

  • AWS Data Analytics – Specialty — completed
  • AWS Solutions Architect – Associate — completed
  • AWS Developer – Associate — completed
  • AWS Cloud Practitioner — completed
  • Azure Fundamentals — completed
  • Terraform Associate — completed
  • Snowflake Data Warehousing — completed

Analytics, big data and infrastructure

  • Microsoft Power BI certification — completed
  • MITx Python programming course — completed
  • BSc Actuarial Science — completed qualification
  • SQL, Python, statistical computing and quantitative analysis — professional and academic foundation
  • PySpark, Spark, Hadoop and Hive — big-data technologies
  • Terraform — infrastructure as code

How this benefits clients

Evidence translated into delivery

Continuous professional and academic development helps Theunet evaluate technologies carefully and apply current methods responsibly.

Related principles

Continue exploring

01Integrity02Innovation03Accountability

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