Build THE Production RAG System That Gets You Hired
While others build toy demos, you'll master production AI by building one enterprise-grade portfolio-project using the exact stack real companies use.
Why Most Developers Fail to Break Into AI
You're stuck in a cycle that keeps you from getting hired—here's why
Tutorial Hell
You've watched 50 hours of RAG tutorials. Built 10 Jupyter notebooks. Zero production experience. Employers see right through it.
Scattered Learning
One tutorial teaches embeddings. Another covers chunking. None show you how they fit together in a real, scalable system. You're collecting pieces without the blueprint.
Toy Projects
ChromaDB localhost demos don't impress hiring managers. They want production systems with real databases, proper architecture, and deployment pipelines.
Meanwhile, developers who understand production AI are getting hired at 6-figure salaries. The gap between tutorial knowledge and job-ready skills has never been wider.
Master the Full Stack Real AI Engineers Use
This isn't a course about one library—it's about understanding how modern AI systems are architected, built, and deployed
Frontend Stack
Backend Stack
Database & Storage
AI/ML Stack
Deployment & Infrastructure
Monitoring & Observability
Complete Course Curriculum
Master every layer of Retrieval-Augmented Generation, frameworks, advanced retrieval, multimodal integration, agentic workflows, and production deployment.
Built For Developers at Every Stage
Whether you're just starting or have decades of experience, this course meets you where you are and takes you where you need to be
Students & Recent Grads
"I'm afraid AI will make my CS degree irrelevant before I even graduate."
The practical skills that separate job-ready developers from those still searching. Build proof of work that makes your resume stand out in a sea of identical applications.
MERN Stack Developers
"I've built full-stack apps for years, but AI feels like a completely different world."
The ability to add "AI Engineer" to your title. Transform your existing skills into AI expertise and charge premium rates for AI-integrated products.
Startup Founders & Entrepreneurs
"I have a great idea for an AI product, but I can't afford to hire a $200K AI engineer. I need to build it myself."
The technical skills to build your own AI-powered startup. Create internal search tools, smart assistants, or custom knowledge bases without burning through funding on expensive engineers.
Experienced Developers (10+ years)
"I've thrived for a decade, but I'm terrified some 22-year-old who knows AI will replace me."
Future-proof your career. Apply your architectural thinking and system design experience to AI. Become the senior AI engineer who mentors the 22-year-olds, not the one looking over their shoulder.
Master Production AI for Less Than a Weekend Course
Most bootcamps charge ₹50,000+ for generic courses. This teaches you the stack companies are hiring for in 2025.
Six-Figure RAG Portfolio Course
Complete production AI system from scratch to deployment
What's Included
What Learners Are Saying
Real feedback from learners building production AI systems
I'm currently halfway through the AWS S3 section, and I've got to say – thanks a lot for making such an awesome course! It's been super helpful. I've learned so many cool things like using apiClient (frontend), AWS S3 presigned URLs, Supabase, Clerk.
I've worked with S3 before, but the way you explained parallel processing of presigned URLs for multiple documents honestly amazed me. Also, the way you've structured and divided the course into clear, focused sections is really impressive – it makes everything easy to follow and understand.
To be honest, my expectations were low at first – I thought it would be just another regular course after seeing section 2. But this course definitely isn't just for beginners – it's packed with value. You should totally consider raising the price point because it truly deserves it! I've paid more for other courses and still haven't seen content this good.
What drew me to this course was the need to bridge the gap between my technical AI/ML expertise specially RAG and practical full-stack implementation. Your teaching style is truly incredible in terms of Pedagogy which reminds me of my JNU days.
What sets this course apart is its depth. Most courses in the market only touch the peripheral aspects, but yours goes deep into the concepts and real world implementation details. This comprehensive approach has been invaluable.
The course has already inspired me to develop an app idea that I'm excited to build using what I've learned here. It's rare to find content that not only teaches but also sparks creativity and confidence to build real applications.
Common Questions
Everything you need to know before enrolling
Do I need AI or machine learning experience?
No. This is an applied AI course using APIs — no machine learning background needed. If you know basic Python and how REST APIs work, you're ready. Perfect for web developers transitioning to AI engineering.
How long does it take to complete?
Yes. The course is designed for working professionals. Most students dedicate 1-2 hours daily and complete it in 4 weeks. All videos are focused and to the point. You can pause, rewind, and learn at your own pace. Several students have completed it while working 50+ hour weeks.
What if I get stuck?
You get direct access to me (Harish). Post your questions in the community or DM me directly - I personally respond within a few hours, not days. Plus, you're joining 3,000+ developers who actively help each other. Most technical questions get answered within 2-3 hours.
Is this production-grade code or just tutorial code?
This is production code that you can deploy to real users. We follow industry best practices: proper error handling, logging, testing, security, database migrations, environment configuration, and CI/CD pipelines. This isn't "works on my laptop" code - it's code you'd see in a $200K/year engineer's GitHub.
How is this different from other GenAI courses?
Most courses teach you how to use LangChain in a Jupyter notebook with ChromaDB. We build a full-stack production system from scratch - frontend, backend, database, auth, async processing, deployment. You'll understand WHY things work, not just copy-paste code. This is the difference between "I followed a tutorial" and "I built a production system."
What if the technology changes? Will the course be updated?
Lifetime access includes all future updates. As concepts evolve, I update the course. Recent additions: LangGraph 1.0 workflows, advanced evaluation frameworks, and Kubernetes deployment. The architectural principles remain constant - specific tools may change, but you'll understand the fundamentals deeply enough to adapt.
Will this actually help me get hired?
I can't guarantee you a job (no one honestly can). But I can guarantee you'll have a portfolio project that makes recruiters respond. Several students have landed AI engineer roles and consulting gigs by showcasing this exact project. One student negotiated a ₹12L increase by demonstrating this in their interview. The system you build here is more impressive than what 90% of "AI engineers" have on their GitHub.
Do I get a certificate?
No, and here's why: certificates from online courses mean nothing to employers. Your GitHub repository with a working production RAG system is worth 100x more than any certificate. We focus on building proof of work that speaks for itself - not decorative PDFs for LinkedIn.
Is the course in English? Will I understand the accent?
Yes, all content is in clear English. I'm Indian, so my accent is familiar to most Asian learners. Videos have adjustable playback speed if you need to slow down. Code is universal - even if you miss something in audio, the written code and comments are comprehensive.
Do I need expensive tools or services?
No. We use free tiers of AWS, Supabase for development. You might spend ₹500 or 5$ on API credits while building, but nothing close to expensive.
Can I build my own projects after this?
Absolutely. That's the point. You'll understand the architecture so deeply that you can adapt it to any RAG use case—legal document search, customer support, research tools, whatever you want to build.
What's your refund policy?
18-day money-back guarantee, no questions asked. If you're not satisfied for any reason, email us within 18 days for a full refund.
Stop Watching. Start Building.
Your six-figure portfolio project is 30 days away. The AI revolution won't wait—and neither should you.