Master Private AI
Learn the skills to build, deploy, and scale local AI systems in your organisation.
Three Learning Paths
Structured programmes for business leaders, technical teams, and solution architects.
Foundation
For business leaders and stakeholders.
What You’ll Learn
- AI fundamentals without the jargon
- LLMs, embeddings, and vector databases
- Prompt engineering best practices
- Identifying high-impact use cases
- ROI calculation & business case build
- Risk, compliance, and governance
Delivered As
- ✓ 8× 2-hour live sessions
- ✓ Case study analysis
- ✓ Peer discussion group
- ✓ Certificate of completion
Practitioner
For IT teams and DevOps engineers.
What You’ll Learn
- Docker containerisation & orchestration
- Ollama: running local LLMs
- N8N workflow automation
- Security, encryption, & SIEM integration
- Monitoring, logging, & alerting
- Troubleshooting and performance tuning
Delivered As
- ✓ 16× 2-hour live labs
- ✓ Hands-on Docker & Ollama exercises
- ✓ Capstone: deploy your own stack
- ✓ Practitioner certification
Architect
For solutions architects and CTOs.
What You’ll Learn
- Multi-model orchestration strategies
- Custom agent design & fine-tuning
- Enterprise system integration patterns
- Governance, compliance & audit trails
- Scaling from pilot to production
- Building IP & moat around your stack
Delivered As
- ✓ 24× 2.5-hour live sessions
- ✓ 1-on-1 mentorship (4 hours included)
- ✓ Real-world project critique
- ✓ Architect certification + badge
In-House Corporate Training
Bring training in-house for your entire team. Customise curriculum to your tech stack and business problems.
Options
- On-site delivery at your office
- Fully remote, synchronous
- Tailored to your systems
- 5–50 participants
- 3–5 day intensive blocks
- Post-training assessments
Pricing
£5,000 per day
Includes trainer travel, materials, and certificates for all attendees.
Supplementary Learning via Coursera
Extend your foundation with industry-leading courses on machine learning, cloud platforms, and business strategy.
Recommended Courses (with affiliate partnership)
- Andrew Ng’s Machine Learning Specialisation — Deep foundations for model architecture and training
- DeepLearning.AI Courses — RAG, LLM fine-tuning, and prompt engineering
- Cloud Provider Certifications — AWS, Google Cloud, Azure fundamentals
- Business & Leadership — Change management, product strategy, and storytelling
PrivateClaw members get 20–45% discount codes. Pathway learning plans available for each training tier.
Certification & Recognition
Earn industry-recognised certifications to validate your skills and advance your career.
Foundation Certified
AI fundamentals + business case knowledge
Practitioner Certified
Docker, Ollama, N8N deployment ready
Architect Certified
Enterprise AI system design expertise
All certifications display on your LinkedIn profile and qualify for our partner directory.
Training FAQs
Do I need prior AI experience?
No. Foundation and Practitioner tracks assume no prior knowledge. Architect requires 2+ years in IT or engineering.
What’s the time commitment?
2–3 hours per week for Foundation, 4–6 hours per week for Practitioner (including lab work), 8–10 hours for Architect (includes projects).
Are there refunds or guarantees?
Yes. If you complete all coursework and don’t feel you gained value, we offer a 100% refund within 7 days of course end.
Can I access course materials after completion?
Absolutely. Video recordings, slides, and lab environments are available for 12 months post-completion.
Do group discounts apply?
Yes. Teams of 3+ get 15% off. Teams of 10+ get 25% off. Contact us for custom group pricing.
How do I schedule in-house training?
Contact our training team with your availability and team size. We typically confirm dates within 1 week.
Start Learning Today
Upskill your team and unlock the full potential of private AI in your organisation.