• You want to switch to the AI domain

• You want to upskill yourself in AI

• You are an experienced software engineer (5+ years)

• You want to build production-grade AI systems

• You want to integrate AI into existing software platforms

• You don’t want theory — you want real-world implementation

• Design end-to-end Gen AI systems

• Build LLM-based enterprise applications

• Architect AI-first products

• Deploy scalable AI services

• Integrate AI into existing backend systems

• Lead AI transformation initiatives

Your Mentor

Rahul Shrivastava

From Senior Architect to AI Systems Leader

Rahul spent over a decade building complex backend systems, leading engineering teams, and architecting enterprise platforms.

But when AI began reshaping the software industry, he asked an important question:

“How do experienced engineers adapt — without starting from scratch?”

Instead of jumping into academic ML theory, Rahul focused on:

• Practical Gen AI engineering

• Enterprise integration patterns

• AI architecture design

• Production-grade deployment

He built this program to bridge the gap between:
Traditional Software Engineering → Real-World AI Systems

This program is the roadmap he wishes existed when he started transitioning into AI.

What Makes This Different?

Most AI courses teach:

• Python notebooks

• Toy datasets

• Theory-heavy ML

This program teaches:

• Production-grade AI systems

• Enterprise integration

• Real deployment pipelines

• AI architecture thinking

Outcome of This Program

By the end, you will be able to:

• Build and deploy an end-to-end Gen AI application

• Add AI capabilities into an existing SaaS/backend product

• Design AI system architecture for enterprise use

• Position yourself as a Gen AI Engineer / AI Architect

• Charge premium consulting rates or switch roles

Who Should Join?

• Senior Software Engineers

• Tech Leads

• Architects

• Backend Engineers

• Full-stack Engineers

• Engineering Managers wanting AI fluency

What You Will Learn

Foundations of Modern AI

• How Large Language Models actually work

• Prompt engineering beyond basics

• Fine-tuning vs RAG vs Agents

• Embeddings & Vector Databases

Production-Grade AI Engineering

• RAG architecture design

• Evaluation & guardrails

• Latency optimization

• Cost optimization

• Observability for AI systems

• Security & compliance in AI apps

AI + Existing Software Systems

• Integrating AI into microservices

• AI in SaaS platforms

• AI in backend workflows

• Event-driven AI pipelines

• API-first AI architecture

Advanced Topics

• AI Agents

• Multi-agent orchestration

• Tool calling

• Autonomous workflows

• Enterprise AI system design

Why Now?

AI is not replacing software engineers.

It is replacing engineers who don’t understand AI.

This is the biggest technology shift since cloud computing.

You can either:

• Watch it happen
  OR

• Lead it

Program Format

• Live sessions

• Hands-on implementation

• Real-world AI projects

• Architecture reviews

• Deployment walkthroughs

• Community of experienced engineers

Career Transformation Focus

This program is built for:

• Career switching to AI domain

• Becoming AI-first architect

• Building AI consulting income

• Launching AI products

Become a Gen AI Expert

Switch to AI.
Upskill strategically.
Build production-grade AI systems.
Integrate AI into real software.

Frequently asked questions

Who is this program for?

This program is exclusively designed for experienced software engineers (5+ years), tech leads, architects, and backend/full-stack developers who want to transition into the Generative AI domain and build production-grade AI systems.

It is NOT for beginners or students with no development background.

Do I need prior AI or Machine Learning experience?

No.

You do NOT need prior ML experience.

However, you should:

• Be comfortable with APIs

• Understand backend systems

• Have worked on production software

We focus on applied AI engineering, not academic ML theory.

Is this a coding-heavy program?

Yes — but practical.

You will:

• Build real Gen AI applications

• Implement RAG systems

• Deploy AI services

• Integrate AI into backend systems

This is hands-on, not just conceptual.

Will I learn how to build production-grade AI systems?

Absolutely.

We cover:

• RAG architecture

• Vector databases

• Model evaluation

• Guardrails

• Observability

• Cost optimization

• Deployment strategies

The goal is real-world implementation — not notebook demos.

Which programming language is used?

Primary examples may use Python due to ecosystem strength.

However, the architectural concepts apply to:

• Java

• Node.js

• Go

• .NET

• Any backend stack

You’ll learn integration patterns applicable across tech stacks.

Will this help me switch to an AI role?

Yes.

By the end of the program, you will be able to:

• Design Gen AI systems

• Build and deploy AI applications

• Integrate AI into enterprise software

This positions you for roles like:

• Gen AI Engineer

• AI Solutions Architect

• AI Technical Lead

• AI Consultant

How is this different from other AI courses?

Most courses teach:

• ML theory

• Academic projects

• Data science notebooks

This program teaches:

• AI system architecture

• Enterprise integration

• Production deployment

• AI engineering mindset

It is built for engineers, not researchers.

Will there be live sessions or recorded content?

The program includes:

• Live implementation sessions

• Recordings for lifetime access

• Architecture discussions

• Q&A sessions

Will I build real projects?

Yes.

You will build:

• End-to-end Gen AI applications

• Production-ready RAG system

• AI integration into an existing backend system

These can be used in your portfolio or interviews.

Is this suitable for architects and tech leads?

Yes — especially.

If you are:

• A Senior Engineer

• Tech Lead

• Software Architect

• Engineering Manager

This program helps you move toward AI-first system design.

How much time commitment is required?

Expect:

• 6–8 hours per week

• Hands-on implementation

• Real project work

This is designed for working professionals.

Will you cover AI Agents and advanced topics?

Yes.

We cover:

• AI Agents

• Tool calling

• Multi-agent systems

• Workflow automation

• Enterprise-grade AI orchestration

What is the final outcome of the program?

You will be able to:

• Architect Gen AI systems

• Deploy scalable AI services

• Integrate AI into real products

• Position yourself as an AI Engineer / AI Architect

• Command premium roles or consulting opportunities

Is this focused on career growth or business building?

Both.

This program supports:

• Switching into AI roles

• Getting higher compensation

• Building AI consulting services

• Launching AI-powered products

What if I miss live sessions?

All sessions are recorded and accessible later.

You won’t miss any learning.