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.

AI Agents • Daily Bytes of AI

Master ai agents with 28 bite-sized engineering insights covering production strategies, implementation techniques, and real-world best practices.

AI Engineering

Building Penny: A Private, Deterministic Financial Agent

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Architecting CodeRabbit like code-review AI agent: The Intelligence Layer

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Architecting CodeRabbit like code-review AI agent: The Orchestration Brain

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22 min

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Architecting CodeRabbit like code-review AI agent at scale: The Event Storm & Context Engine

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System Design AI Agents Production AI

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Building a Multilingual AI Receptionist: Production Architecture for Text and Voice

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Building a Multi-Agent Voice Roundtable: Production Architecture for Group AI Conversations

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25 min

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Designing Memory Systems for AI Agentic Applications

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18 min

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Browser Automation: Building Agents That See and Click

Learn how to build AI agents that can navigate the modern web using vision models and accessibility trees. Move from read-only AI to read-write AI with browser automation.

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Workflow Orchestration: Building State Machines with LangGraph

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Human-in-the-Loop: When AI Needs Human Oversight

Learn how to build Human-in-the-Loop (HITL) workflows with state persistence, breakpoints, and feedback injection. Design safe AI systems that can pause, wait for human approval, and resume exactly where they left off.

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Multi-Agent Coordination Patterns: Beyond the God Agent

Learn how to coordinate specialized AI agents using three fundamental patterns: The Chain, The Router, and The Supervisor. Move from monolithic prompts to production-ready multi-agent systems.

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Multi-Hop RAG: When One Retrieval Isn't Enough

Learn how to build multi-hop RAG agents that can decompose complex queries into sub-questions and chain multiple retrieval steps. Understand query decomposition and iterative reasoning patterns.

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6 min

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AI Engineering Bootcamp

Master Production AI Systems in 6 Weeks

Learn to build, deploy, and scale production-ready AI applications with hands-on projects and expert guidance.

6 Weeks Intensive

Live Sessions

Expert Mentors

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