AI Automations: Create Self-Improving Autonomous AI System
The ultimate 13-month journey from basic AI agents to fully autonomous, self-healing systems. Master AutoGen, DSPy, LangChain, and Ray to build AI that improves itself.
Course Information
- 📅 2nd Friday of every month teaching (13 months)
- ⏰Duration: 9am-5pm
- 💰Total Investment £22,000 of which Government funds £20,900- £22,000
- 📍Location: Live Online
- 👥 10 Max Cohort Size
- 🎓Includes: 12-month portal access
From Writing Code to AI That Writes Itself
This isn’t another AI course. It’s the pinnacle of AI education – where you learn to build systems so intelligent they optimise themselves, heal their own errors, and continuously improve without human intervention.
💻
Month 1: Basic Agents
- Simple task automation
- Basic LangChain usage
- Single-purpose agents
- Manual optimization
🌐
Months 2-11: Evolution
- Multi-agent collaboration
- Self-optimization with DSPy
- Distributed processing
- Autonomous workflows
🧠
Month 13: Mastery
- Self-healing systems
- Continuous improvement
- Fully autonomous operations
- Industry leadership
Your Journey to Autonomous AI Mastery
Level 1: Foundation (Month 1) ⭐
- Focus: LangChain basics + Simple AutoGen agents
- Project: Intelligent Task Assistant
- Skills: Basic automation, tool integration
- Business Value: Save 5 hours/week on routine tasks
Level 2: Intermediate (Month 2) ⭐⭐
- Focus: AutoGen GroupChat + LangSmith monitoring
- Project: Collaborative Agent Team
- Skills: Multi-agent coordination, performance tracking
- Business Value: Automate complex workflows
Level 3: Moderate (Months 3-4) ⭐⭐⭐
- Focus: DSPy optimization + Ray distribution
- Project: Self-Optimizing Systems
- Skills: Automatic improvement, parallel processing
- Business Value: 10x performance gains
Level 4: Advanced (Months 5-8) ⭐⭐⭐⭐
- Focus: Complex workflows + Self-learning
- Project: Autonomous Business Processes
- Skills: Enterprise integration, MLOps
- Business Value: Replace entire departments
Level 5: Expert (Months 9-13) ⭐⭐⭐⭐⭐
- Focus: Full autonomy + Self-healing
- Project: AI Operations Center
- Skills: Complete automation mastery
- Business Value: Transform entire organisations
You'll Build 8 Game-Changing AI Systems
Project 1: Intelligent Task Assistant
- Tech: LangChain + AutoGen basics
- Features: Conversational interface, task automation, tool integration
- Impact: Personal productivity boost
- Industries: All sectors
Project 2: Collaborative Agent Team
- Tech: AutoGen GroupChat + LangSmith
- Features: Multi-agent collaboration, real-time monitoring
- Impact: Complex workflow automation
- Example: Legal contract review team
Project 3: Self-Optimising Query System
- Tech: DSPy + LangSmith
- Features: Automatic prompt improvement, A/B testing
- Impact: 90% accuracy improvement
- Example: Medical diagnosis assistant
Project 4: Parallel Processing Pipeline
- Tech: Ray + Distributed AutoGen
- Features: Massive scale processing, fault tolerance
- Impact: 100x speed improvement
- Example: Financial analysis platform
Project 5: Intelligent Workflow Automation
- Tech: Advanced orchestration
- Features: Dynamic routing, self-improvement
- Impact: Zero-touch operations
- Example: Supply chain optimisation
Project 6: Self-Improving Agent Network
- Tech: Autonomous learning systems
- Features: Continuous optimization, distributed learning
- Impact: Always getting better
- Example: Dynamic pricing engine
Project 7: Enterprise Automation Platform
- Tech: Production MLOps
- Features: Full monitoring, security, compliance
- Impact: Enterprise transformation
- Example: Hospital operations system
Project 8: Autonomous Operations Center
- Tech: Complete autonomous stack
- Features: Self-healing, self-managing, self-improving
- Impact: Lights-out operations
- Example: Retail chain automation
Cloud-Agnostic, DevOps-Friendly Architecture
Built for portability, scalability, and continuous deployment

AI Orchestration & Agents:
- AutoGen: Microsoft’s multi-agent framework
- LangChain: Chain & agent orchestration
- DSPy: Automatic prompt optimization
- Ray: Distributed AI computing
- Hugging Face: Model repository
Development & Deployment:
- Angular + Ionic: Cross-platform interfaces
- Strapi CMS: Headless content management
- Clerk: Modern authentication
- n8n: Visual workflow automation
- Terraform: Infrastructure as Code
Data & Intelligence:
- MongoDB: Flexible document store
- Neo4j: Graph relationships
- Python: Logic and flow
- Streamlit: Rapid prototyping
DevOps & Monitoring:
- GitHub: Version control
- ArgoCD: GitOps deployment
- Grafana + Prometheus: Observability
- Docker + Kubernetes: Container orchestration
Structured for Working Professionals
Your Learning Schedule:
- 📅 4 days per month (48 days total)
- 📍 Day 1: Theory & concepts (remote)
- 💻 Days 2-4: Hands-on project work
- 🕐 Hours: 9am-5pm UK time
- 📱 Platform: 24/7 access to resources
Learning Format:
- Live expert instruction
- Hands-on labs
- Peer programming
- Real client projects
- Industry experts
Comprehensive Support:
- 👨🏫 Expert Instructors: AWS architects & AI engineers
- 🤝 1-1 Mentoring: Bi-weekly sessions included
- 💬 Community: Slack workspace for cohort members
- 🏢 Industry Projects: Work on real problems
- 📚 Resources: 12 month access to materials poist course end
13 Months to Complete Autonomy
Month 1: Foundation Setup
- LangChain fundamentals
- AutoGen basics
- Simple agent creation
- Tool integration
- Project: Task automation assistant
Month 2: Agent Communication
- GroupChat implementation
- Agent collaboration patterns
- LangSmith monitoring
- Performance tracking
- Project: Multi-agent team
Month 3: Optimisation Basics
- DSPy introduction
- Automatic prompt optimisation
- A/B testing frameworks
- Performance benchmarking
- Project: Self-optimising system
Month 4: Distributed Processing
- Ray fundamentals
- Parallel agent execution
- Resource management
- Fault tolerance
- Project: Scalable pipeline
Months 5-6: Advanced Orchestration
- Complex workflows
- Dynamic routing
- Self-improving pipelines
- Integration patterns
- Project: Intelligent automation
Months 7-8: Self-Learning Systems
- Autonomous improvement
- Distributed learning
- Performance evolution
- Knowledge sharing
Months 9-11: Enterprise Integration
- Production deployment
- Security & compliance
- Monitoring & alerting
- Cost optimisation
- Project: Enterprise platform
Months 12-13: Full Autonomy
- Self-healing systems
- Continuous improvement
- Complete automation
- EPA preparation
- Project: Operations center
Who This Is For
You're Ready If:
- ✅ You’ve built basic AI applications
- ✅ You understand Python and APIs
- ✅ You want to create autonomous systems
- ✅ You’re committed to 13 months of learning
- ✅ You have ambitions to lead AI transformation
- ✅ You want to reach the pinnacle of AI expertise
This Isn't For You If:
- ❌ You’re new to programming
- ❌ You want quick, surface-level knowledge
- ❌ You can’t commit to the full programme
- ❌ You’re not eligible for UK apprenticeship funding
- ❌ You’re satisfied with basic AI usage
Ideal Background:
- Completed AI Data Engineer or equivalent
- 2+ years in technical roles
- Experience with cloud platforms
- Problem-solving mindset
Prerequisites:
- Strong Python skills
- Competent Typescript skills
- Understanding of AI concepts
- Cloud platform experience
- Dedication to excellence
Are You Eligible for Government Funding
The UK government has made apprenticeships a cornerstone of its economic strategy, committing billions in funding to help businesses train the workforce of tomorrow. There are a series of courses that the UK Government has approved for investment. The investment is 95-100%, which means that employers pay nothing or 5% of the course fees.
Its an excellent way to upskill your employees, improve business profitability and prospects.
This AI Automations is an AI enhanced course based on the Machione Learning Engineer course (ST1398) which is eligible for UK Government funding.
Your Journey Starts Here
Timeline: "From application to start: 4-6 weeks"
Step 1: Apply Online
- Contact us using the contact form
- We will send an application form
- Basic Python assessment
- Confirm employer support
Step 2: Brief Interview
- 30-minute video call
- Discuss your goals
- Confirm commitment
Step 3: Employer Agreement
- We provide all paperwork
- Employer signs apprenticeship agreement
- Funding confirmed
Step 4: Welcome Pack
- Access to pre-course materials
- Set up development environment
- Join student community
AI Automations FAQs
What makes this different from other AI courses?
This is the only programme that takes you to full autonomy – building AI systems that improve themselves without human intervention. We focus on AutoGen, DSPy, and production-grade autonomous systems.
Do I need to complete AI Data Engineer first?
Not necessarily, but you need equivalent experience. You should be comfortable with Python, understand AI concepts, and have built some AI applications. We’ll assess this during application.
How intensive is the programme?
4 days per month of structured learning, plus expect 4-6 hours per week for projects and self-study. It’s designed for working professionals but requires real commitment.
What kind of systems will I actually build?
Real, production-ready autonomous systems. From self-optimizing legal research platforms to self-healing retail operations. Every project solves actual business problems.
Is the tech stack really cloud-agnostic?
Yes. We use open-source tools and cloud-agnostic architectures. You can deploy on AWS, Azure, Google Cloud, or on-premise. No vendor lock-in.
What support do I get after graduation?
If you have bought the Lifetime + bundle you will get lifetime access to our alumni network, resources, and updates. Otherwise it is 12 months post course end, and an annual subscription of £79 for continued access. Many graduates become mentors and industry leaders. You’ll be part of an elite community.