TEL-AI · 6–10 WEEKS
Telecom AI Operations and Customer Intelligence
Network forecasting, anomaly detection, GenAI for operations, controlled autonomy, churn and field service.
Enterprise AI Training Catalogue
Turn AI ambition into governed, measurable implementation.
Practical programmes for telecom operators, financial institutions, oil and gas companies, ministries and other data-intensive organisations.
Available delivery
English · Arabic · French
On-site · Live online · Blended
Vendor-neutral and governance-led
Four sector academies
Built for complex and regulated environments
BNK-AI · 6–10 WEEKS
Responsible AI for Banking and Financial Services
Explainable credit decisions, fraud and AML, secure copilots, forecasting, model risk and audit.
OGE-AI · 6–10 WEEKS
Industrial AI for Oil, Gas and Energy
Predictive maintenance, operational intelligence, visual inspection, engineering knowledge and HSE governance.
GOV-AI · 6–10 WEEKS
Trusted AI for Government and Public Services
Public services, multilingual knowledge, policy support, procurement, sovereignty and accountability.
Enterprise-wide programmes
A modular corporate curriculum
EAI-101
1–2 daysAI Foundations for Enterprise Professionals
A practical and responsible introduction for employees and managers.
EAI-201
2 days or 6 weeksEnterprise AI Strategy, Governance and ROI
Build a governed use-case portfolio, benefits scorecard and implementation roadmap.
EAI-202
4–6 daysAI-Powered BI and Decision Intelligence
Combine trusted metrics, forecasting, anomaly detection and decision-oriented reporting.
EAI-203
5 daysSecure Enterprise Knowledge Assistants with RAG
Build grounded assistants that answer from approved documents and show sources.
EAI-204
5 daysAI Agents for Controlled Workflow Automation
Design bounded agents with permissions, approval points, logs and recovery controls.
EAI-205
3–5 daysResponsible AI, Model Risk and Audit
Operationalise accountability, impact assessments, controls and audit evidence.
EAI-206
4 daysEnterprise AI Evaluation and Red Teaming
Test accuracy, groundedness, security, bias, cost and business value.
EAI-207
3 daysPrivate AI, Data Sovereignty and Secure Deployment
Choose secure public, private, sovereign or hybrid AI architectures.
EAI-208
4 daysAI Product Management and Use-Case Design
Turn ideas into evaluated products with owners, users, metrics and investment gates.
EAI-210
5 days + mentoringTrain the Enterprise AI Trainer
Develop internal facilitators who can scale responsible AI education.
Designed around outcomes
Training that leaves useful assets behind
Every substantial engagement connects learning to an organisational decision, prototype or implementation plan.
Prioritised AI use-case portfolio
Governance charter and risk register
Evaluated prototype or decision asset
KPI and benefits-realisation scorecard
90-day implementation plan
12-month enterprise roadmap
Choose the right engagement format
Executive briefing
90 minutes–3 hours
Align leaders around opportunity, risk and direction.
Management workshop
1–2 days
Prioritise use cases and create a 90-day plan.
Practitioner bootcamp
3–6 days
Build practical capability and an evaluated prototype.
Enterprise academy
6–10 weeks
Develop a cross-functional implementation cohort.
Train the trainer
5 days + mentoring
Transfer the programme to an internal academy.
Build a programme around your organisation
A discovery session defines the audience, priority use cases, delivery format, approved tools, security constraints and expected outcomes.
Request a proposal