6-Week Bootcamp, Self-Paced or Mentor-Led

From Software Engineer
to AI Engineer.
In 6 Weeks.

Build production AI systems: RAG pipelines, multi-agent architectures, and your own AI coding agent. Live sessions, real challenges, capstone project.

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Trusted by engineers from top companies

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Why now

AI engineering roles are growing faster than general software roles.

Companies are hiring engineers who can build RAG pipelines, design agent architectures, and ship AI systems to production. Not engineers who can only call an API.

The window to position yourself is now, while demand outpaces supply.

Be honest. Which one hurts the most?

✕

Stuck in tutorial hell?

You've watched hours of AI content but couldn't build a RAG pipeline from scratch if your job depended on it.

✕

Demos that don't survive production

Your chatbot works on 3 PDFs. It breaks on a real database. You need production patterns, not toy examples.

✕

Agents sound exciting, but where do you start?

Tool calling, routing, multi-step reasoning, human-in-the-loop. Tutorials stop at hello world. You want systems that last.

✕

You're an API caller, not an AI Engineer

Companies hire engineers who build reliable AI systems: RAG pipelines, agent architectures, evaluation loops. Not prompt wrappers.

The transformation

Before the bootcamp

  • -Watching tutorials but not building anything real
  • -Can't explain system design in interviews
  • -Demos work on 3 PDFs, break on real data
  • -Copying code without understanding architecture
  • -Calling APIs but not designing systems

After the bootcamp

  • +Building production RAG pipelines with evaluation
  • +Explaining agent architectures with confidence
  • +Shipping multi-agent systems that handle real data
  • +Designing AI systems from scratch, not copying snippets
  • +Owning cost, latency, and reliability in production

What you build each week

Outcomes, not topics. Every week you ship a working system.

Week 1

AI Foundation — LLMs, Prompts & RAG

Build a streaming story generator, legal document analyzer, web page Q&A system, and a customer support knowledge base with vector search.

Week 2

Voice AI & Conversational Systems

Build a lead qualifier chatbot, a restaurant voice ordering assistant, and a healthcare triage system. Master voice AI and human-in-the-loop patterns.

Week 3

AI Agents & Workflows

Build a competitor analysis research agent, a web form automation bot, a legal case intake workflow, and a personal shopping assistant.

Week 4

Prototype to Production

Take your Week 1-3 systems and make them production-ready. Optimize RAG, tune voice agents, scale agent systems. Master cost control and monitoring.

Week 5

AI System Design & Architecture

Enterprise AI architecture patterns, agent-to-agent communication with MCP, multi-agent coordination, computer vision, and AI ethics.

Week 6

Capstone Project & Demo Day

Build your capstone: a drive-thru voice agent, IVR system, medical triage assistant, or your own idea. Present to peers, get feedback from Param.

The gap isn't your knowledge.It's the systems you never built.

Senior engineers aren't better because they know more syntax. They're better because they've:

Built a RAG pipeline with real evaluation metrics
Designed multi-agent architectures from scratch
Handled production failures: hallucinations, latency, cost
Implemented tool calling and MCP integrations
Built an autonomous coding agent end-to-end
Shipped systems with guardrails and monitoring

6 weeks. Each one builds a real system. You don't watch. You build.

What engineers are building

“Built a production RAG system in week 3. My team is now using it daily.”

Software Engineer·Fintech startup

“The bootcamp gave me the confidence to lead our AI initiative. Got promoted within 3 months.”

Senior Developer·E-commerce

“Finally understand how agents actually work, not just the framework magic. Shipped an agentic system my team relies on.”

Backend Engineer·SaaS

Invest in your AI engineering career

Less than one week of an AI engineer's salary. Lifetime access to all content.

FAQ

Frequently Asked Questions

Do I need machine learning experience?
No. This bootcamp starts from Python basics and builds up systematically. You learn to use LLMs and AI tools as an engineer, not as a researcher.
How is this different from ML courses?
This is engineering, not model training. You build production systems: RAG pipelines, agents, evaluation loops. Not Jupyter notebooks.
How much time do I need per week?
8-10 hours per week. 1-2 live sessions plus pre-recorded content and challenges at your own pace.
What's included in the bootcamp?
All pre-recorded content, code repos, quizzes, and projects. Self-paced gives you lifetime access. Mentor-led adds live sessions, code reviews, and direct access to Param for 6 weeks.
How long do I have access?
Lifetime access to all content, code, and future updates, regardless of which tier you choose.
What if I get stuck?
Core/Plus: community support. Cohort: direct access to Param during live sessions and async Q&A.
Can my company reimburse this?
Yes. We provide invoices for employer reimbursement upon purchase.
Is there a refund policy?
Yes. Full refund within 7 days if the bootcamp is not for you.
Limited seats

Mentor-led cohort seats are limited.

Each mentor-led cohort is capped at 30 engineers to ensure quality feedback and live interaction with Param. Self-paced is always available.

Reserve Your Seat

Anyone can call an API. Companies hire engineers who build reliable AI systems.

AI can generate code.

Chat completions, boilerplate, simple scripts.

AI cannot:

  • +Design RAG pipelines that scale
  • +Build agents with guardrails and evaluation
  • +Architect multi-agent systems for production
  • +Own cost, latency, and reliability

That's what AI Engineers do. This bootcamp trains you to be one.

Ready to become an AI engineer?

The AI Bootcamp takes you from software engineer to AI engineer in 6 weeks. Start with free resources or jump straight in.

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