AI Bootcamp for Software Engineers
AI Bootcamp for Software Engineers is a 6-week, cohort-based program designed for engineers who want to upskill in AI engineering.
But unlike other AI courses, you won't learn passively – you'll build real AI applications, create lifelong connections, and leave with a new perspective for what is possible with AI.
Is the bootcamp right for you?
Are you a software engineer who wants to specialize in AI and build production-ready applications?
Do you want to move beyond basic AI tutorials and learn to architect, build, and deploy real AI systems that solve business problems?
Have you tried learning AI on your own but feel overwhelmed by the complexity?
Are you struggling to understand when to use RAG vs agents, how to optimize for production, or how to scale AI systems?
Do you want to build AI applications that actually work in production?
Are you tired of building demos and prototypes that never make it to real users or solve real business problems?
Stop 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
Our AI Bootcamp
- •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
Instead of watching 100 hours of random "AI Engineering" videos...
Learn what you need
Build what you want
Deploy to production
Architect for scale
Learn what you need
Build what you want
Deploy to production
Architect for scale
Learn. Build. Ship. Repeat.
Master AI engineering through hands-on projects. Build real applications, ship to users, get feedback, and keep improving.
Start Building AI SystemsWho this is for
This bootcamp is designed for experienced professionals who want to master AI engineering and build production-ready applications.
Software Engineers
Experienced engineers who want to master AI engineering and build production-ready AI applications
Tech Leads & Architects
Technical leaders seeking to understand AI system design and lead AI initiatives in their teams
AI Entrepreneurs
Founders and entrepreneurs looking to build AI-powered products and understand implementation challenges
Data Scientists and ML Engineers
Engineers who want to build production-ready AI systems and integrate them into real-world applications
Master AI Engineering in 6 weeks
Build production-ready AI applications with hands-on projects covering LLMs, RAG, agents, and deployment.
Week 1
AI Foundation - LLMs, Prompts & RAG
Week 2
Building Reliable Conversational Systems
Week 3
AI Agents & Workflows
Week 4
Prototype to Production
Week 5
AI System Design & Architecture
Week 6
Capstone Project & Demo Day
Week 1
AI Foundation - LLMs, Prompts & RAG
Week 2
Building Reliable Conversational Systems
Week 3
AI Agents & Workflows
Week 4
Prototype to Production
Week 5
AI System Design & Architecture
Week 6
Capstone Project & Demo Day
Week 1
AI Foundation - LLMs, Prompts & RAG
Master the building blocks of AI applications
Week 2
Building Reliable Conversational Systems
Create intelligent conversational interfaces
Week 3
AI Agents & Workflows
Build intelligent agents that can think and act
Week 4
Prototype to Production
Make your AI systems fast, accurate, and cost-effective
Week 5
AI System Design & Architecture
Design scalable, reliable production-ready AI systems
Week 6
Capstone Project & Demo Day
Build and present your production-ready AI application
Week 1: AI Foundation - LLMs, Prompts & RAG
Master the building blocks of AI applications through hands-on demos
Hands-on Demos
- Bedtime Story Generator - Interactive story creation with streaming responses
- Legal Document Analysis - Extract key terms, clauses, and risks from contracts
- Web Page Q&A System - Basic Q&A system for any webpage content
- Customer Support Knowledge Base - 24/7 Q&A system with vector search
Key Concepts Learned
- Prompt engineering patterns & chain-of-thought prompting
- RAG implementation with vector databases
- Context management & token optimization
- Streaming UI development & error handling
Week 2: Building Reliable Conversational Systems
Build voice-enabled applications and conversation systems
Hands-on Demos
- Lead Qualifier Chat Bot - Qualify sales leads automatically
- Restaurant Voice Assistant - Voice system for food orders via phone
- Healthcare Triage Assistant - Voice system for patient intake
Key Concepts Learned
- Voice AI implementation with LiveKit
- Conversation memory & context tracking
- Human-in-the-loop patterns & escalation
- Domain-specific AI & conversation flows
Week 3: AI Agents & Workflows - Beyond Simple Chatbots
Build autonomous agents that can use tools and make decisions
Hands-on Demos
- Competitor Analysis Research Agent - Research competitors and analyze market positioning
- Web Form Filling AI Bot - Navigate websites and fill forms automatically
- Legal Case Intake Workflow - Client intake with human lawyer review
- Personal Shopping Assistant - AI agent for product recommendations
Key Concepts Learned
- Tool calling & function integration
- Multi-agent coordination & communication
- Browser automation & workflow orchestration
- Agent memory & recommendation systems
Week 4: Prototype to Production
Make your AI systems fast, accurate, and cost-effective
Hands-on Demos
- Customer Support RAG Optimization - Optimize Week 1 system for production
- Voice Agent Performance Enhancement - Optimize Week 2 voice systems
- Agent System Scalability - Optimize Week 3 agent systems for scale
Key Concepts Learned
- RAG optimization & hybrid search strategies
- Voice system performance tuning & latency reduction
- Cost-effective AI deployment & usage monitoring
- Production monitoring & quality assurance
Week 5: AI System Design & Architecture - Learn to solve real-world problems
Master advanced AI system architecture patterns and enterprise deployment
Advanced Topics & Case Studies
- Enterprise AI Architecture Patterns - Microservices, event-driven architecture
- Agent-to-Agent (A2A) Communication - MCP, agent messaging patterns
- Multi-Agent Coordination - Communication protocols, conflict resolution
- Computer Vision & Multi-Modal AI - Vision processing, edge deployment
- AI Ethics, Safety & Compliance - Bias detection, regulatory compliance
Key Concepts Learned
- Enterprise AI architecture & system design
- A2A communication & MCP implementation
- Multi-agent coordination & distributed systems
- AI testing, validation & quality assurance
- Ethical AI design & compliance frameworks
Week 6: Capstone Project & Demo Day
Integrate all learned concepts into one comprehensive project
Capstone Project Options
- Drive-Thru Voice Agent - Automates fast-food ordering with real-time speech recognition
- IVR Agent - Handles inbound support or sales calls with natural conversation
- Medical Office Triage Assistant - Automates patient intake and triage
- Personal Shopper Agent - E-commerce assistant that recommends and finds products
- Vision AI Agent for Financial Reports - Multimodal assistant that interprets images
- Your Own AI Project - Design and build your own idea from scratch
How It Works
What You'll Deliver
Download Complete Syllabus
Get the detailed 6-week curriculum with project descriptions, learning objectives, and weekly breakdowns.
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What You Will Get
Everything you need to become a production-ready AI engineer
Learning & Development
Resources & Community
Master AI Engineering in 6 weeks
Everything you need to build production-ready AI applications
AI Bootcamp for Software Engineers
6-week intensive program for software engineers
What's Included
- 6 weeks of hands-on learning
- Live coding sessions & Q&A
- 5 production-ready AI projects
- Capstone project & Demo Day
- Private community
- Lifetime access to materials
Technologies Covered
- LLMs, RAG, & Vector Databases
- Voice AI with LiveKit & WebRTC
- AI Agents & Multi-agent Systems
- Production Deployment & Monitoring
- Docker, Kubernetes, & CI/CD
- Performance Optimization
learnwithparam Guarantee
This bootcamp is backed by the learnwithparam Guarantee. Students are eligible for a 100% refund if you've progressed less than 10% of the bootcamp or it's within 7 days of your purchase.
Hey it's Param Harrison, your instructor 👋
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 my approach 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:
Vattenfall (Netherlands) – Upskilling workshop of adapting AI in engineering
H&M (Sweden) – Data engineering at scale through user behaviours
PenTestTools (Romania) – Consultation on AI in cybersecurity
Faltara (Saudi Arabia) – AI in HR automation to predict best profiles
Jobbatical (Estonia) – Agentic AI architecture to solve EU immigration challenges
L&T Technology (Germany) – AI workshop for business analysts
… and many more.
That's why I created this bootcamp. You'll learn the same playbook, I use with clients to:
- Build AI systems that run in production
- Architect solutions that scale
- Lead teams and drive AI adoption
This isn't theory, it's 15 years of hands-on engineering experience (including 8+ years in leadership and consulting), distilled into a practical playbook.
This course took 9 months and was shaped by 26 students in the beta program. Some even made a lucrative career change after the course! I hope you like it too.
Let's connect and keep the conversation going:
Schedule & Time Commitment
Flexible learning designed for working professionals
Time Commitment
All sessions are recorded. Complete at your own pace within 6 weeks.
Weekly Schedule
Frequently Asked Questions
What's the time commitment for this bootcamp?
The bootcamp requires 10 hours per week over 6 weeks. This includes live sessions, hands-on projects, and self-paced learning. Most students find this manageable alongside their full-time jobs.
Do I need prior AI experience to join?
No prior AI experience is required, but you should have few years of software development experience. The bootcamp is designed for software engineers who want to upskill in AI engineering.
What if I can't make a live session?
All live sessions are recorded and available for replay. We also offer multiple office hours throughout the week, so you can catch up on any missed content or get help with assignments.
How much should I budget for APIs and resources?
We estimate €10-50 for the entire bootcamp, covering API costs for OpenAI and other services. We'll show you how to optimize costs and use free tiers when possible.
What happens if I can't attend this cohort?
You can defer to the next cohort at no additional cost. We run cohorts every 2-3 months, so you won't have to wait long to join.
How long will I have access to materials after the bootcamp?
You'll have lifetime access to all course materials, recordings, and the private community. This includes future updates and new content we add to the bootcamp.
What's the refund policy?
Yes, you can get a 100% refund if you've progressed less than 10% of the bootcamp or it's within 7 days of your purchase. We're confident in our curriculum and instructor quality, which is why we offer this guarantee.
Do you offer team discounts?
Yes! We offer 20%+ discounts for teams of 3 or more. Contact us at param@learnwithparam.com for team pricing and bulk enrollment options.
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Stop overthinking.
Finally start building AI in 2025.
One last thing...
If you're down here, you might be thinking... is this really worth it?
And sure - you could go and stitch together all of the glorious free content we've put out there on all things AI development. And you could use all that content to try and start building on your own.
But I'm guessing that if you're on this page, and you've read this far, you've tried something like this before.
And the results... well... they're not what you've been hoping for.
So here we are, 2025 has flown by. That blank page and crisp fresh start just a little bit away.
Now, wouldn't it be magical to look back at the end of 2026, pointing to this exact moment, this exact decision, as the thing that led to an incredible, life-changing year?
A new business, a new career, new friendships, a completely new personal trajectory, all of these are possible - all from the simple habit of building AI applications.
And it can all start right here, right now.
So, what do you say?