ROMEO ADVANCED ACADEMY

Tier 3 Specialisation

The Five Paths

After the shared Foundation and Core tiers, every learner picks one of five specialisations. Each runs at the same depth — ten courses, 60 ECTS — and ends with a path-specific capstone.

Path A Engineering

For practitioners who will build, deploy, and operate AI systems. Path A goes deep into advanced deep learning, large language models, reinforcement learning, MLOps, and AI security from a builder's perspective.

  • A1Advanced Deep Learning and Architectures7.5 ECTS
  • A2Large Language Models — Training, Fine-tuning, RAG7.5 ECTS
  • A3Reinforcement Learning6 ECTS
  • A4MLOps and Production ML Systems7.5 ECTS
  • A5Distributed and High-Performance Computing for AI6 ECTS
  • A6AI Systems Architecture and Design Patterns6 ECTS
  • A7AI Security — Adversarial ML, Model Security6 ECTS
  • A8Edge AI and Embedded ML6 ECTS
  • A9Specialised Elective (CV / NLP / Robotics / Audio)7.5 ECTS
  • ∑Total60 ECTS
Target roles ML Engineer · AI Engineer · ML Platform Engineer · Applied AI Researcher (Industry) · AI Systems Architect · LLM Engineer · MLOps Engineer

Path B Business & Consulting

For strategists, consultants, product leaders, and executives driving AI adoption. Path B combines strategy and economics with the practical work of consulting delivery, governance, due diligence, and sector applications.

  • B1AI Strategy and Enterprise Transformation7.5 ECTS
  • B2AI Product Management6 ECTS
  • B3AI Adoption, Change and Organisational Design6 ECTS
  • B4Economics of AI — Cost Models, ROI, Value Creation6 ECTS
  • B5AI Due Diligence, Investment and M&A6 ECTS
  • B6AI Procurement, Vendor and Third-Party Risk6 ECTS
  • B7Sector Applications I — Financial Services6 ECTS
  • B8Sector Applications II — Health, Manufacturing, Public Sector6 ECTS
  • B9AI Consulting Practice and Engagement Delivery6 ECTS
  • B10Negotiation, Stakeholder and Executive Communication4.5 ECTS
  • ∑Total60 ECTS
Target roles AI Strategy Consultant · AI Product Manager · AI Transformation Lead · Chief AI Officer · AI Investment Analyst · AI Practice Lead · AI Adoption Specialist

Path C Research

For learners pursuing original research, doctoral study, or advanced industrial research. Path C emphasises mathematical depth, alignment and interpretability, multimodal frontier research, and reproducibility.

  • R1Advanced Machine Learning Theory7.5 ECTS
  • R2Probabilistic Models and Bayesian Methods6 ECTS
  • R3Optimisation and Numerical Methods6 ECTS
  • R4Mathematical Foundations of Deep Learning6 ECTS
  • R5Multimodal and Foundation Model Research6 ECTS
  • R6AI Alignment and Interpretability6 ECTS
  • R7Cognitive Science and Computational Neuroscience for AI6 ECTS
  • R8Research Seminar (Rotating Frontier Topics)6 ECTS
  • R9Literature Review and Research Proposal4.5 ECTS
  • R10Reproducibility, Open Science and Experimental Design6 ECTS
  • ∑Total60 ECTS
Target roles PhD Candidate · Research Engineer (AI Lab) · Applied Research Scientist · Postdoctoral Researcher · AI Policy Researcher · Interpretability Researcher · Alignment Researcher

Path D Cybersecurity

For security professionals who will use AI to defend, attack, govern, and secure AI systems themselves. Path D covers SOC automation, vulnerability and threat management, adversarial ML, MLSecOps, identity and access, regulatory compliance, privacy-preserving AI, and incident response.

  • D1Cybersecurity Foundations for AI Practitioners6 ECTS
  • D2AI for Threat Detection, SIEM and SOC Automation6 ECTS
  • D3AI for Vulnerability Management and Threat Intelligence6 ECTS
  • D4Adversarial Machine Learning and AI Red Teaming7.5 ECTS
  • D5Securing AI Systems (MLSecOps, Supply Chain, Prompt Injection)7.5 ECTS
  • D6AI in Identity, Access and Zero Trust6 ECTS
  • D7AI Governance and Compliance (DORA, NIS2, ISO 27001, ISO 42001)6 ECTS
  • D8Privacy-Preserving AI and Data Protection (GDPR, FL, DP)6 ECTS
  • D9AI-Augmented Incident Response and Forensics6 ECTS
  • D10Applied Capstone Lab — Sector Scenarios3 ECTS
  • ∑Total60 ECTS
Target roles AI Security Architect · ML Security Engineer · AI Risk and Compliance Lead · AI Red Teamer · Threat Intelligence Analyst (AI-augmented) · MLSecOps Engineer · CISO for AI-intensive organisations

Path E Sports First cohort Jan 2027

For practitioners who will use AI in elite sport, fan-facing media, and the integrity systems behind both. Path E spans performance analytics and athlete monitoring, computer vision for match analysis, tactical decision support, scouting and player valuation, broadcast and fan-experience AI, automated officiating, anti-cheat, and esports analytics.

  • E1Sports Data Foundations and Athlete Monitoring6 ECTS
  • E2Performance Modelling and Injury Prediction7.5 ECTS
  • E3Computer Vision for Sport7.5 ECTS
  • E4Tactical AI and Match Analytics6 ECTS
  • E5Scouting, Recruitment and Player Valuation6 ECTS
  • E6Fan Experience, Media and Broadcast AI6 ECTS
  • E7Officiating, Integrity and Anti-Cheat6 ECTS
  • E8Esports and Game AI6 ECTS
  • E9Ethics, Privacy and Governance in Sport AI4.5 ECTS
  • E10Applied Capstone Lab — Sport Scenarios4.5 ECTS
  • ∑Total60 ECTS
Target roles Sports Performance Analyst · Tactical Analyst · Scouting Analyst · Sports Data Scientist · Athlete Monitoring Lead · Broadcast Analytics Engineer · Integrity Analyst · Esports Analyst · Head of Analytics at a sports organisation

Find your path.

Switching paths is allowed at the cost of extra ECTS. The career services team supports your choice with one-to-one advisory sessions.

Apply now