GenAI Mastery — 2.1
AI System Builder Cohort
Build Advanced AI Systems. End-to-End.
An intensive 8-week program that takes you from GenAI fundamentals to building production-ready agentic AI systems. Taught by Dr. Bhaveshkumar C. Dharmani, this cohort combines live instruction, hands-on labs, real project builds, and structured mentorship.
No shallow overviews — every week you build something real. The cohort culminates in a 3-week Bring Your Own Idea capstone phase where you build and present a complete AI product or system.
Who It's For
- Software engineers and developers
- AI/ML practitioners upskilling into agentic systems
- Data scientists moving into AI engineering
- Researchers wanting hands-on applied AI experience
- Professionals in tech who want to build with AI
What You'll Build
- Your first AI-powered Streamlit app
- A RAG chatbot over your own knowledge base
- Multi-agent AI workflows with LangGraph & CrewAI
- MCP server integrations and A2A connections
- A complete AI product with business model (capstone)
8-Week Curriculum
Week by Week — What You Learn and Build
Understand AI — How AI Thinks
Introduction to Generative AI & LLMs
Understand how modern AI systems and Large Language Models work, and where they create business value.
Prompt Engineering
Design effective prompts using advanced reasoning and control techniques to improve AI outputs.
Custom GPTs & Gemini Gems
Build personalized AI assistants tailored to specific workflows and use cases.
Deploy your first AI App using Streamlit
Launch and share AI-powered applications without complex infrastructure.
Mini-Build AI — Build with Knowledge: Chatbots and RAG
Prompt Chaining & AI Chatbots
Create conversational AI systems capable of multi-step reasoning and task execution.
Retrieval Augmented Generation (RAG)
Build AI systems that answer using your own knowledge base while reducing hallucinations.
Vector Databases & Embeddings
Store, retrieve, and search knowledge semantically for intelligent AI applications.
Build your first RAG ChatBot
Develop your first knowledge assistant.
Mini-Build AI — Build with Agents: Agentic AI
Agentic AI Fundamentals & LangGraph
Understand how AI agents use tools, memory, and workflows to perform autonomous tasks.
Multi-agent Systems
Design collaborative AI systems where multiple agents work together toward a goal.
Model Context Protocol (MCP) and A2A Protocol
Understand standardized interfaces for communication between multiple tools and agents.
Building Agentic RAG
Combine knowledge retrieval with autonomous agents for advanced decision-making.
Mini-Build AI — Multi-agent Systems, MCP and A2A
Building MCP Servers & Integrations
Develop custom integrations that allow AI systems to interact with business tools and APIs.
Building A2A connection
Enable AI agents to coordinate, share information, and execute complex workflows.
Agentic workflow using No-code platform n8n
Build AI-powered workflows and automations without extensive coding.
Build multi-agent workflow of your choice
Design and deploy complete multi-agent solutions for real-world business processes.
Mini-Build AI — Build with Claude: Claude Code and Context Engineering
Introduction to Claude Ecosystem & AI Coworkers
Use Claude as an AI collaborator for productivity, research, and business operations.
Claude Code Fundamentals
Build software and AI applications faster using AI-assisted development workflows.
Advanced Claude Code (Skills, Hooks & Subagents)
Extend AI coding capabilities through custom skills, workflows, and agent architectures.
Agentic Development with Claude Code
Build sophisticated AI systems using modern AI-native engineering practices.
Build AI — From Technology to Product
Ideate: AI Entrepreneurship & Opportunity Discovery
Identify high-potential AI opportunities and validate real customer problems.
Research: Market Research and Product Definition
Define products using market sizing, competitive analysis, and customer insights.
Build: Building an AI MVP
Turn an idea into a working AI product using rapid development and automation tools.
Build an Enterprise: AI-Powered Business Operations
Apply AI Cofounders for every function: marketing, operations, finance, legal, and content.
Engineer AI — AI Systems Engineering
Evaluation: Product Evaluation & Benchmarking
Measure AI system quality using evaluation frameworks and performance metrics.
AI Infrastructure, Economics & Reliability Engineering
Build scalable, secure, cost-efficient AI systems with routing, guardrails, and monitoring.
GenAI System Design & Context Engineering
Architect reliable AI applications using proven patterns and workflow designs.
Evaluation and improving the built solution
Apply benchmarking to your capstone project.
Production AI — Productionize for Real World
LLMOps and AgentOps
Monitor, govern, deploy, and continuously improve AI systems in production.
Product Deployment & Scalability
Deploy AI applications securely while managing performance, reliability, and growth.
Capstone Project Demonstration + Pitch Presentation
Present a complete AI product or system to industry experts and stakeholders.
Optional Advanced Topics
- OpenClaw, NanoClaw and others for building a personal assistant — advanced AI automations and agent workflows using modern orchestration frameworks.
- Small Language Models & Model Fine-Tuning — choosing between prompting, RAG, and fine-tuning while learning practical model customization techniques.
Cohort Forming — Register Your Interest
The AI System Builder Cohort is currently forming. Join the waitlist to be first to know about launch dates, cohort size, and pricing.
Join the Waitlist →