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LIVE WEBINAR

Stop Watching AI.
Start Building It.

Build production-ready AI applications from scratch using Python, AI Agents, LLMs, RAG, Prompt Engineering, Automation, Azure, OpenAI, and modern deployment practices. Learn through real-world projects, live mentorship, and practical implementation, not just theory.

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People Trained

AI Tech Stacks

Live Sessions

AI Agents Built

REAL AI TRAINING EXPERIENCE

Learn AI Through Real-World Training

Experience practical AI learning through hands-on sessions, live demonstrations, and real-world implementation.

Live AI training session with participants

WHAT OUR LEARNERS SAY

Built for Learners Who Want to Build With AI

From learning the fundamentals to building real AI applications, our learners use the program to turn AI concepts into practical skills.

Arjun Mehta

Software Engineer

I had been learning AI through scattered videos and tutorials, but I never knew how everything connected. This program gave me a clear path from Python and machine learning to LLMs, RAG, agents, and deployment.

Priya Nair

Python Developer

What I liked most was the practical approach. We didn't just learn what an LLM or RAG system is, we actually built them. The hands-on projects made the concepts much easier to understand.

Rahul Sharma

Technology Professional

I was interested in AI but honestly didn't know where to start. The course starts with the fundamentals and gradually moves into much more advanced topics. Having live guidance made the learning much easier.

Karthik Raj

Full-Stack Developer

The biggest value for me was learning how to turn AI concepts into working applications. Building an AI-powered project, connecting APIs, working with RAG, and deploying the application gave me a much better understanding of real AI development.

Sneha Kapoor

Business Operations Manager

I didn't join the program just to understand AI terminology. I wanted to understand how AI could actually automate work. The workflow automation and AI agent projects helped me see how these technologies can solve real business problems.

Arjun Mehta

Software Engineer

I had been learning AI through scattered videos and tutorials, but I never knew how everything connected. This program gave me a clear path from Python and machine learning to LLMs, RAG, agents, and deployment.

Priya Nair

Python Developer

What I liked most was the practical approach. We didn't just learn what an LLM or RAG system is, we actually built them. The hands-on projects made the concepts much easier to understand.

Rahul Sharma

Technology Professional

I was interested in AI but honestly didn't know where to start. The course starts with the fundamentals and gradually moves into much more advanced topics. Having live guidance made the learning much easier.

Karthik Raj

Full-Stack Developer

The biggest value for me was learning how to turn AI concepts into working applications. Building an AI-powered project, connecting APIs, working with RAG, and deploying the application gave me a much better understanding of real AI development.

Sneha Kapoor

Business Operations Manager

I didn't join the program just to understand AI terminology. I wanted to understand how AI could actually automate work. The workflow automation and AI agent projects helped me see how these technologies can solve real business problems.

Vikram Menon

Technology Career Transitioner

Before joining, I was overwhelmed by the number of AI tools, frameworks, and concepts available. This program gave me a structured learning path and projects I could actually talk about.

Aditya Kumar

AI Developer

The project-based format was exactly what I was looking for. From building an LLM application and a RAG system to working with automation and deployment, every module pushed me to actually create something.

Neha Verma

Founder & Entrepreneur

As a founder, I wanted enough technical understanding to evaluate AI ideas and build useful prototypes. The course helped me understand where LLMs, agents, automation, and RAG fit into real products.

Rohan Iyer

AI & Software Engineer

The capstone was one of the strongest parts of the program for me. Instead of finishing with notes and a certificate alone, I had a complete AI project that I could demonstrate and discuss.

Arjun Mehta

Software Engineer

I had been learning AI through scattered videos and tutorials, but I never knew how everything connected. This program gave me a clear path from Python and machine learning to LLMs, RAG, agents, and deployment.

Vikram Menon

Technology Career Transitioner

Before joining, I was overwhelmed by the number of AI tools, frameworks, and concepts available. This program gave me a structured learning path and projects I could actually talk about.

Aditya Kumar

AI Developer

The project-based format was exactly what I was looking for. From building an LLM application and a RAG system to working with automation and deployment, every module pushed me to actually create something.

Neha Verma

Founder & Entrepreneur

As a founder, I wanted enough technical understanding to evaluate AI ideas and build useful prototypes. The course helped me understand where LLMs, agents, automation, and RAG fit into real products.

Rohan Iyer

AI & Software Engineer

The capstone was one of the strongest parts of the program for me. Instead of finishing with notes and a certificate alone, I had a complete AI project that I could demonstrate and discuss.

Arjun Mehta

Software Engineer

I had been learning AI through scattered videos and tutorials, but I never knew how everything connected. This program gave me a clear path from Python and machine learning to LLMs, RAG, agents, and deployment.

Learn AI by building. Build skills you can demonstrate.

What You Will Build

8 real projects across ML, GenAI, RAG, and AI automation – all deployment-ready.

PYTHON & DATA SCIENCE

LLM Python

Build production-ready AI applications using Python, LangChain, APIs, and deployment-ready workflows.

PythonPandasNumPyFastAPIOpenAI

AI & MACHINE LEARNING

ML Model API

Train, optimize, and deploy machine learning models with a robust REST API using FastAPI and Docker.

Scikit-learnXGBoostFastAPIDockerPydantic

AI AUTOMATION

AI Automation Bot

Automate real-world workflows using AI agents, tools, and scheduling with secure integrations.

LangChainOpenAIRedisPostgreSQLCelery

RAG & VECTOR DB

Document RAG

Build intelligent document search over PDF files using ChromaDB, LangChain, and vector embeddings.

ChromaDBLangChainEmbeddingsFastAPIPython

WORKFLOW AUTOMATION

n8n AI Workflow

Deploy autonomous multi-step workflows with webhooks, record updates, and scheduled LLM actions.

n8nWebhooksOpenAIDocker

FULLSTACK CAPSTONE

Micro-SaaS App

Launch a production-ready AI micro-app with Streamlit, Docker, and Azure CI/CD pipelines.

StreamlitDockerAzureGitHub ActionsPython

CURRICULUM

Master AI Engineering in 6 Powerful Weeks

A practical curriculum covering Python, Machine Learning, Generative AI, RAG, AI Automation, and Deployment.

WEEK 01

Python for Data Science & AI

Variables, data types & control flow
Lists, tuples, dictionaries & sets
Functions, lambda & modular code
NumPy for numerical computation
Pandas operations & CSV data analytics

PRACTICE PROJECT

Load real-world datasets and perform automated exploratory data analysis.

WEEK 02

Machine Learning Fundamentals

Problem formulation & data sourcing
Data cleaning & exploratory analysis
Feature engineering & scaling
Supervised & unsupervised models
Model training, evaluation & metrics

PRACTICE PROJECT

Build & evaluate your first predictive ML classifier with Scikit-Learn.

WEEK 03

Generative AI & LLM Foundations

GPT-4, Claude 3.5, Gemini & Llama 3
Tokenization, temperature & context windows
Text embeddings & vector math
Advanced prompt engineering techniques
LLM REST API integration & streaming

PRACTICE PROJECT

Build a multi-model LLM-powered Q&A chatbot with streaming UI.

WEEK 04

Retrieval Augmented Generation

RAG architecture & design patterns
Text chunking & document parsing
Vector databases & similarity search
LangChain & ChromaDB integration
Context retrieval optimization pipeline

PRACTICE PROJECT

Build a PDF document Q&A RAG system using LangChain & ChromaDB.

WEEK 05

AI Automation with n8n

AI workflow automation principles
n8n triggers, nodes & webhooks
Connecting LLMs with business tools
Multi-agent workflow orchestration
Error handling & payload logging

PRACTICE PROJECT

Create an end-to-end AI automation workflow connecting Email & LLMs.

WEEK 06

Final Capstone & Cloud Deployment

Production capstone architecture
Streamlit & Gradio web UI framework
GitHub repo structure & clean code
Environment setup & API security
Cloud deployment on Azure & Streamlit Cloud

PRACTICE PROJECT

Deploy a full-stack portfolio-ready AI micro-SaaS application to the cloud.

IS THIS FOR YOU?

Who Should Attend?

Designed for forward-thinking professionals eager to build and deploy AI solutions with confidence.

C-Suite Executives

For CEOs, CIOs, CTOs, CMOs, and COOs leading AI strategy.

Founders & Startups

For entrepreneurs building AI-first products and services.

Managers & Leaders

For leaders driving AI adoption, process automation, and team productivity.

Working Professionals

For professionals looking to gain practical AI engineering skills.

Consultants & Coaches

For advisors helping organizations adopt AI to drive measurable outcomes.

AI Builders & Learners

For developers eager to build AI agents, LLMs, and automation workflows.

C-Suite Executives

For CEOs, CIOs, CTOs, CMOs, and COOs leading AI strategy.

Founders & Startups

For entrepreneurs building AI-first products and services.

Managers & Leaders

For leaders driving AI adoption, process automation, and team productivity.

Working Professionals

For professionals looking to gain practical AI engineering skills.

Consultants & Coaches

For advisors helping organizations adopt AI to drive measurable outcomes.

AI Builders & Learners

For developers eager to build AI agents, LLMs, and automation workflows.

OUR TRANSFORMATION

From Understanding AI To Building Real AI Systems

Move beyond AI theory. Learn how to understand, build, and apply modern AI systems through practical implementation.

Understand Modern AI

Gain total clarity on Generative AI, LLMs, AI Agents, Agentic AI, MCP, RAG, and Workflow Automation.

Build Your First AI Agent

Create your first AI Agent using a practical step-by-step framework to understand how intelligent systems think and act.

Solve Real Business Problems

Build AI-powered solutions that automate workflows, boost productivity, and create measurable business impact.

Apply AI With Confidence

Use practical AI skills across your career, business, and production systems with complete confidence.

Your AI Builder Roadmap

Get a clear step-by-step roadmap to build AI Agents, AI Applications, Automation Systems, and Micro-SaaS solutions.

INSTRUCTOR & MENTOR

Learn from Reshma Sriraman

Live Mentor

AI Mentor & Builder

Reshma Sriraman

Reshma helps learners move from AI curiosity to real AI execution by building practical systems, projects, automations, and a strong LinkedIn presence. With a community of 300K+ builders, she brings real-world mentorship to every session.

300K+

Community Members

50+

AI Projects Shipped

Years in AI/Tech

Connect on LinkedIn Speak on WhatsApp

OUR LEADERSHIP TEAM

Our Leadership Team

Palani Ramasamy

CEO & Founder, Enterprise AI, Gen AI & Agentic Platforms

Mike Millard

Sr. VP, Agentic AI Strategy, Governance & Transformation

Mary Grygleski

Sr. VP, AI Evangelist - Enterprise AI & Architecture

Reshma Sriram

Director, AI Product Enablement, Enterprise Training & AI Adoption

ENROLLMENT & PRICING

Start Building Today

Live Program • 6 Weeks • Limited Cohort Access

Limited Seat Offer

Build Your AI System

6-Week Live Hands-On Masterclass & Production Capstone.

6 weeks of live interactive sessions

Hands-on real-world AI projects

1-on-1 Mentor support & code reviews

GitHub portfolio-ready capstone

Prompt engineering & automation training

Exclusive builder community access

Official Certificate of Completion

Secure checkout • Instant confirmation

FREQUENTLY ASKED QUESTIONS

Everything You Might Want to Know

Clear answers about who this program is for, what you will build, and the support you will get.

Yes, it starts from Python basics and moves step-by-step into AI systems. No prior machine learning or artificial intelligence experience is needed.

Ready to Build with AI?