Become an AI engineer.

A hands-on program where software engineers ship RAG pipelines, agents, and a capstone they can demo. Self-paced forever. Mentor-led when you want live feedback.

Enroll in bootcamp

Still deciding? Ask first.

Message a mentor about fit, prerequisites, or where to start. Replies come on WhatsApp, usually within a day.

Curriculum fit, prerequisites, or where to start
Honest answer, no pressure to enroll

“Built a production RAG system on the agents phase. My team is now using it daily.”

Software Engineer · Fintech startup

Engineers are learning here from

NVIDIAMICROSOFTGRABWISEPIPEDRIVEBOLTGLIA

AI engineering is backend engineering with a new stack. The bootcamp teaches the production patterns most tutorials skip: RAG pipelines that retrieve the right chunks, agents that recover from failure, evaluation harnesses that catch regressions, and cost controls that keep bills predictable. You write the code each phase; Param reviews it.

By the capstone phase you will have shipped a portfolio of production systems you can demo. Self-paced learners keep lifetime access to every phase. Mentor-led cohorts add live Q&A, code review, and a Slack channel where engineers ship together.

Curriculum

Ship systems you can demo.

01
AI foundations: LLMs, prompts, and RAG
Ship a streaming story generator, legal document analyzer, web-page Q&A system, and a support knowledge base with vector search.
Foundations
02
Voice AI and conversational systems
Build a lead qualifier chatbot, a restaurant voice ordering assistant, and a healthcare triage system. Practice voice plus human-in-the-loop patterns.
Voice
03
Agents and workflows
Research agents, web-form automation bots, case-intake workflows, a personal shopping assistant. Every project runs on real tool calls.
Agents
04
Prototype to production
Harden the systems from earlier phases. Tune RAG, optimize voice agents, scale agent systems. Cost control and monitoring throughout.
Harden
05
AI system design and architecture
Enterprise patterns, agent-to-agent comms via MCP, multi-agent coordination, computer vision, and AI ethics in production.
Architecture
06
Capstone project and demo day
Build your capstone: a drive-thru voice agent, IVR system, medical triage assistant, or your own idea. Present to peers. Param reviews your code.
Capstone

Outcomes

You finish able to:

Ship a working RAG system in the foundations phase
Debug an agent that loops, hallucinates, or picks the wrong tool
Design multi-agent systems that actually converge on answers
Track token costs and catch regressions before your users do
Make architecture calls your team can point to in code review
Show a capstone you would demo to a hiring manager

Who it's for

Is this for you?

Software engineers

wanting to transition into AI engineering without a PhD

Backend developers

looking to add AI/ML capabilities to their existing systems

Fullstack developers

who want to build AI-powered products from scratch

Career changers

with programming basics who want to enter the AI field

Pricing

Invest in your AI engineering career.

A fraction of an AI engineer's monthly 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. You learn to use LLMs and AI tools as an engineer, not as a researcher.

How is this different from a machine learning course?

This focuses on engineering, building production systems with AI, not training models. You build RAG pipelines, agents, and real applications.

How much time do I need per week?

Plan for 8-10 hours per week. 1-2 live sessions plus pre-recorded content and challenges you complete at your own pace.

What if I fall behind?

All content is available for lifetime access. The cohort format keeps you accountable, but you can always revisit at your own pace.

Ship something real.

Pick self-paced to start today or mentor-led for live feedback alongside Param.

Enroll in bootcamp

AI Bootcamp

Mentor-led + self-paced

Enroll