Agent 1: Contract Parsing
Extract contract clauses, obligations, and metadata from real documents using Azure AI Document Intelligence and Python.
Agentic Engineering Cohort
Build a Production-Grade Multi-Agent AI System in 6 Weeks
Join the Agentic Engineering Cohort and build a real contract review & compliance platform using LangGraph, LangChain, Azure OpenAI, RAG, FastAPI, Streamlit, and more.
Build a Multi-Agent Contract Review & Compliance System in 6 Weeks.
- 6 Weeks
- Live Weekend Sessions
- Portfolio-Ready Project
- Recordings Included
Live instructor-led cohort
Real-world enterprise use case
Multi-agent production project
Career-focused learning
In partnership with RoleRaise
What You'll Build
You will build a complete multi-agent contract review and compliance system. Each agent has a clear responsibility, and the workflow is orchestrated end-to-end for production-style behavior.
Agent 2: Compliance Checking
Use RAG pipelines and policy retrieval to evaluate clauses against compliance and internal standards.
Agent 3: Report Generation
Generate structured compliance summaries with risk flags, section-level findings, and recommendation notes.
LangGraph Orchestration
Connect agents with routing, retries, state management, and human-in-the-loop approvals for production behavior.
Tech Stack You'll Work With
Python
FastAPI
LangChain
LangGraph
Azure OpenAI
Azure AI Document Intelligence
Azure AI Search
PostgreSQL
Streamlit
Docker
LangSmith
python-docx
6-Week Curriculum
Every week includes practical deliverables, implementation guidance, and architecture-level feedback so you leave with a complete, portfolio-ready system.
Week 1
Foundations & Document Parsing Agent
- Project architecture setup and environment initialization
- Document ingestion and clause extraction workflows
- Agent interface design for parsing output
Week 2
RAG Pipeline & Compliance Checker Agent
- Policy indexing with Azure AI Search
- Retriever and context assembly patterns
- Compliance-checking logic with grounded outputs
Week 3
Report Generation & Multi-Agent Orchestration
- Report schema and structured output generation
- Agent coordination with LangGraph states and routing
- Human review checkpoints for high-risk sections
Week 4
FastAPI Backend & Streamlit Frontend
- API endpoints for upload, processing, and reporting
- Frontend workflow for analyst-friendly review
- Data persistence with PostgreSQL integration
Week 5
Evaluation, Error Handling & Production Patterns
- Evaluation framework with LangSmith traces
- Failure handling and fallback logic for reliability
- Dockerized packaging and deployment-ready structure
Week 6
Demo Day, Q&A & Career Prep
- End-to-end project demonstration
- Architecture storytelling for interviews
- Career guidance and portfolio framing
Who This Is For
Data engineers and AI engineers moving into agentic systems
Software engineers who want real LangGraph implementation experience
Builders who learn best through live, hands-on project work
Professionals who need a serious, portfolio-grade AI project
Why This Cohort Is Different
THIS COHORT
TYPICAL AI COURSES
Real production project
Toy demos and disconnected exercises
Multi-agent architecture
Single chatbot tutorial patterns
Live build sessions
Passive pre-recorded content
Portfolio-ready project output
Theory-focused completion only
Career guidance with technical framing
Generic instruction without role mapping
Instructor
AK
Abhishek Kumar
GenAI Lead | NTT DATA
Chapter Lead, The AI Collective Bangalore
In partnership with RoleRaise
What You'll Walk Away With
A full multi-agent contract review and compliance system
Real experience with LangGraph workflows and RAG design
A GitHub-ready, portfolio-grade project implementation
Clearer interview talking points for agentic AI roles
Production design patterns for enterprise AI applications
Prerequisites
Required
- Intermediate Python
- Basic REST API understanding
- Git/GitHub familiarity
- Basic LLM awareness
Nice To Have
Helpful but not mandatory
- LangChain familiarity
- Azure exposure
- Docker basics
- Vector database familiarity
Program Access
Mentor-Led 6-Week Cohort
Application-led admission with live weekend sessions, full recordings, hands-on project implementation, and career guidance.
6-week live cohort
Weekend sessions
Recordings included
Hands-on project
Career guidance
Portfolio-ready outcome
Frequently Asked Questions
This cohort is best for engineers with working Python familiarity and basic API understanding. It is practical and implementation-heavy.
Stop Watching Tutorials. Build a Real Agentic AI System.
Join the cohort and ship a project you can actually showcase.