IA4Scale IA4Scale
AI Academy

AI Academy

Upskill your teams on responsible, operational and scalable AI.

Build an AI Academy programme
AI Training — AI Academy IA4Scale
Our training approach

Building AI skills — from strategy to development

IA4Scale AI Academy supports executives, business teams and technical experts in building their AI capabilities: use cases, governance, ISO/IEC 42001, GenAI, AI agents, LLMOps and advanced AI technologies. Every programme is tailored to the level and specific challenges of participants.

Training programmes

6 AI training programmes

01

AI for Executives

Understand AI to decide, prioritise and lead.

Audience: Executives, C-suite, CIOs, business leaders, innovation directors.

Topics: AI fundamentals, generative AI, opportunities and risks, sector use cases, business value, AI strategy, AI roadmap, AI governance in the enterprise.

02

Generative AI for Business

Use generative AI effectively, securely and responsibly.

Audience: Managers, business teams, finance, HR, legal, compliance, operations, customer service.

Topics: GenAI fundamentals, prompt engineering, AI assistants, document analysis, task automation, security, confidentiality, limits and risks of generative AI.

03

ISO/IEC 42001 & AI Governance

Understand and implement an AI management system.

Audience: CIOs, AI leads, Data leads, risk managers, compliance, internal audit, CISOs, AI project managers.

Topics: ISO/IEC 42001, AI Management System, AI policy, roles and responsibilities, use case governance, AI risk management, documentation, internal audit, continuous improvement.

04

AI Engineering & LLMOps

Design, develop and industrialise reliable and scalable AI applications.

Audience: Developers, data scientists, data engineers, architects, cloud engineers, innovation teams.

Topics: RAG, AI agents, orchestration, vector databases, model evaluation, AI application security, monitoring, LLMOps, API integration, cloud deployment.

05

NVIDIA AI Technologies Enablement

Build skills on AI technologies, deep learning, accelerated computing and AI infrastructure.

Audience: Technical teams, data scientists, ML engineers, cloud engineers, technical architects.

Topics: Deep learning, generative AI, computer vision, GPU computing, accelerated data science, AI infrastructure, AI workload optimisation, model deployment.

Preparation and enablement programme around NVIDIA technologies and NVIDIA Deep Learning Institute resources.

06

AI Champions Program

Build an internal network of AI ambassadors capable of identifying, framing and driving use cases.

Audience: Managers, business referents, product owners, innovation leads, hybrid business/tech profiles.

Topics: Use case identification, value/feasibility framing, GenAI best practices, AI governance, change management, user adoption, impact measurement.