Stop watching AI tutorials.
Start shipping AI that works in production.
While others watch tutorials, you could be shipping AI applications—RAG systems, voice AI, autonomous agents, and multi-agent systems that solve real business problems.
🔥 That's what we teach.
Not generic prompts. Production-ready AI systems you can deploy this week.
Do you know how to create a Claude Code like AI Agent for your domain?
Building with AI tools are happening already. Building AI systems will happen soon.
Are you ready to build AI native applications?
Just like Cursor understands your codebase, can you build AI systems that understand your domain—your business logic, workflows, and specific use cases?
Do you understand AI system architecture and design patterns?
Can you architect production-ready AI systems that scale, are cost-effective, and reliable?
Do you know when to use RAG vs agents vs fine-tuning?
Can you make the right architectural decisions for different AI use cases and business requirements?
Can you build AI applications that actually work in production?
Do you understand monitoring, observability, error handling, and cost optimization for AI systems?
If these questions make you pause...
Then we are here to help you master AI engineering.
Explore our BootcampStop building AI demos.
Start shipping production systems.
Typical AI courses
- ✗Endless theory and research papers
- ✗Jupyter notebooks that never see the light of day
- ✗Learn algorithms you'll never use in real projects
- ✗Zero focus on deployment, monitoring, or scaling
learnwithparam.com
- ✓Build production-ready AI applications
- ✓Master RAG, agents, and voice AI systems
- ✓Deploy to real users and get real feedback
- ✓Production monitoring, scaling, and optimization
What we offer
Practical and production-ready AI education, built for engineers.
AI Bootcamp for Software Engineers
6 Weeks. 6+ Production Apps. 1 Career Upgrade.
"From SWE to AI Engineer: Build & Deploy 6+ Real-World AI Systems – No Theory BS."
What You'll Build
- Week 1: Customer Support Knowledge Base - 24/7 Q&A with vector search
- Week 2: Healthcare Triage Assistant - Voice system for patient intake
- Week 3: Competitor Analysis Research Agent - Multi-agent system
- Week 6: Capstone Project - Your choice of AI system
Key Skills You'll Master
- RAG implementation & vector databases
- Voice AI with LiveKit & conversation flows
- AI agents, tool calling & multi-agent coordination
- Production optimization, monitoring & cost management
Weekly Bytes of AI — Newsletter
Weekly technical deep-dives for engineers building production AI systems. Architecture patterns, system design, cost optimization, and real-world case studies.
What You Get
- Production AI patterns & system design
- Cost optimization & deployment strategies
For Engineers
- Building scalable AI infrastructure
- Technical insights, no marketing fluff
Param Harrison, Founder
Engineer, consultant, and AI systems architect
I've spent the last 8+ years consulting, building, leading and training engineering teams across Europe, Asia and the Middle East, with 15 years total engineering experience.
And I'll be honest, consulting showed me a hard truth:
Building AI is just the start. The real challenge? Shipping reliable, production-ready AI that seamlessly integrates with your existing systems.
That's why I built learnwithparam around one principle: production-first AI. If it doesn't work in the real world, it doesn't matter.
Over the years, I've helped 13+ companies bring AI and data engineering into production — from H&M's behavioral data pipelines at scale to Vattenfall's AI upskilling for 200+ engineers, to Jobbatical's agentic AI architecture for EU immigration challenges.
This isn't theory. It's 15 years of hands-on engineering experience, distilled into practical content and programs for engineers who want to build AI systems that actually ship.
Let's connect and keep the conversation going: