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Training

Your team, building this themselves.

Three tracks, from boardroom strategy to multi-agent architecture. Taught by an engineer who has shipped these systems in healthcare, government and adtech — not by a trainer reading someone else's slides.

Arabic & English Live sessions, remote First 2 sessions free on every track

✦ First 2 sessions are 100% free — continue only if you love it
MODULE 01 · 2 sessions

Demystifying Enterprise AI & ROI Blueprint

  • Plain-English breakdown of LLMs, agentic loops, and multi-modal computer vision.
  • Auditing company workflows to find high-yield bottlenecks ready for automation.
  • Calculating direct and indirect ROI while avoiding expensive vendor lock-in.
MODULE 02 · 2 sessions

Data Governance, Security & Sovereign Privacy

  • Understanding data sovereignty laws and corporate risk mitigation.
  • Designing strict guardrails to prevent accidental LLM data leakage.
  • Securing AI applications and ensuring structural compliance with global standards.
MODULE 03 · 2 sessions

Sourcing and Leading High-Performance AI Teams

  • How to evaluate and manage AI engineers and consultants without a technical background.
  • Setting key performance metrics for AI delivery and pipeline latency.
  • Translating business requirements into accurate technical product specs.
MODULE 04 · 2 sessions

No-Code Prototypes & Continuous Innovation

  • Building fast, non-technical visual proofs-of-concept using modern no-code platforms.
  • Managing API budgets, rate-limiting frameworks, and infrastructure optimisation.
  • Structuring a corporate culture prepared for iterative technology adaptation.
✦ First 2 sessions are 100% free — try before committing
MODULE 01 · 2 sessions

Python Development & API Integration Core

  • Python libraries for text parsing, cleaning, and preparation.
  • Semantic API interactions with modern SDKs (Gemini, OpenAI).
  • Handling rate limits, context-window sizes, and error handling safely.
MODULE 02 · 3 sessions

Vector Databases, Embeddings & Semantic Search

  • Deep dive into embeddings: how mathematical representation of language works.
  • Configuring and storing vectors in enterprise databases like Pinecone and pgvector.
  • Writing high-performance cosine similarity and keyword search algorithms.
MODULE 03 · 3 sessions

Architecting Custom RAG Knowledge Systems

  • Splitting complex documents using intelligent semantic chunking.
  • Integrating search context inside prompt engineering systems dynamically.
  • Validating output reliability and protecting prompts against jailbreaking.
MODULE 04 · 2 sessions

Visual Prototyping & Live Deployment

  • Building modern chat interfaces and dashboards with Streamlit and Gradio.
  • Wrapping systems into standard Docker container images for portability.
  • Deploying live projects to cloud platforms with secured environment variables.
✦ First 2 sessions are 100% free — verify the calibre before paying
MODULE 01 · 3 sessions

Collaborative Multi-Agent Architectures

  • Building complex, stateful multi-agent systems using LangGraph or CrewAI.
  • Configuring human-in-the-loop triggers for executive approval gates.
  • Implementing dynamic sub-task delegation and edge-case resolution.
MODULE 02 · 3 sessions

Predictive ML Classifiers & Open-Weight Fine-Tuning

  • Supervised and unsupervised predictive classifiers using PyTorch.
  • Fine-tuning open-weight models (Llama 3, Gemma) via QLoRA and PEFT.
  • Constructing custom evaluation benchmarks to prevent regression in fine-tuned models.
MODULE 03 · 3 sessions

Clinical-Grade Computer Vision & Deep Learning

  • Training custom Convolutional Neural Networks for object detection.
  • Real-time computer vision detection using YOLO architectures.
  • Clinical imaging segmentation, mask layers, and advanced filtering.
MODULE 04 · 3 sessions

Enterprise Scale: Cost & Latency Optimisation

  • Integrating fast semantic caching layers using Redis.
  • Automated deployment on private clouds using Kubeflow and Kubernetes.
  • Continuous evaluations, data-drift detectors, and model telemetry.
How it runs

Live, small, and built around your stack

Two free sessions

Every track opens with two sessions at no cost. If the calibre isn't what you expected, you walk away having paid nothing. It's the fairest way we know to sell teaching.

Arabic or English

Delivered in either. Technical vocabulary is taught in both, because your team will read English documentation and discuss it in Arabic.

Your systems, not toy examples

Where you can share them, exercises are built on your own documents and data. A RAG system your team builds on their real corpus is worth ten tutorials.

Live, not recorded

Remote sessions with questions answered as they come up. Recordings go to attendees afterwards.

Teams or individuals

Priced per track. For a whole engineering team, ask — cohort pricing is a conversation, not a table.

Taught by the practitioner

The person teaching multi-agent architecture is the one who built an agentic system for Gulf government services. That's the whole point.

Next step

Start with the two free sessions

Tell us the track and your team's level. If a different mix would serve you better, we'll say so.

Enquire about a track Book 30 minutes