Building a Production-Grade Agentic AI System
UpSkill with Success Analytics
13 modules
Lifetime access
Modules
Live Class Link
1 attachment
Live Class Link
Module 1: Introduction to Agentic AI & CrewAI
9 attachments • 1 hrs
What is Agentic AI?
Evolution from Traditional AI → Generative AI → Agentic AI
True Autonomy and Specialized AI Agents
CrewAI Overview & Key Features
Setting up Python environment (VS Code, Anaconda, virtualenv)
Installing CrewAI
Mini Project: “Hello World” CrewAI Agent
Class Introduction - 06th Sep 2025
Introduction to CrewAI - 07th Sep 2025
Module 2: CrewAI Fundamentals
7 attachments • 1 hrs
Understanding Agents in CrewAI
Roles: Interviewer, Researcher, Evaluator, Planner
Memory in CrewAI (short-term vs long-term)
Using LLMs (OpenAI, GEMINI, ollama, Local models)
Integrating Tools (Google Search, APIs, Web Scraping)
Hands-on: Create a Research Assistant Agent
CrewAI 13th Sep 2025
Module 3: Building Multi-Agent Workflows
7 attachments
CrewAI architecture for multi-agent collaboration
Orchestrating conversations between agents
Defining tasks & termination conditions
Error handling & debugging CrewAI agents
Create a Research Assistant Agent
Monitoring & logging outputs
Customer Support Multi-Agent System
Module 4: AI Assistant Automation Dashboard
37 attachments • 1 hrs
4.1 Understanding the Real Estate Automation System
What is the Real Estate AI Assistant Dashboard?
Why Agentic AI is Transforming Real Estate
True Agentic AI Systems and Their Importance
Overview of CrewAI, FastAPI, Streamlit, and MongoDB Integration
Key Features: Decision Making, Inter-Agent Coordination, and Tool Integration
4.2 AI Agents for Real Estate
Overview of the 6 AI Agents for Real Estate
Introduction to All 6 Agents and Their Roles
4.3 Building Custom Tools
Understanding Different Custom Tools
Building a Property Recommendation Tool
Building a Real-Time Data Fetcher Tool
4.4 Implementing AI Agents Step-by-Step
Designing an AI-Powered Follow-up Communication Agent
Extracting Actionable Insights from Client Conversations
Developing an Intelligent Conversation Summarizer
Creating an AI-Powered Lead Prioritization System
Building a Personalized Property Recommendation Engine
Developing an AI Agent for Negotiation & Sentiment Tracking
4.5 Backend Development with FastAPI
Designing APIs for Real Estate Data
Integrating Agents into the Backend
Building & Testing APIs for Each Agent
4.6 Frontend Dashboard with Streamlit
Introduction to Streamlit Components
Designing an AI-Powered Real Estate Dashboard
Building a Full-Fledged Dashboard for Real Estate Agents
Visualizing Agent Outputs (Emails, Insights, Scores, Recommendations)
Real-Time Agent Interactions on the Dashboard
What is the Real Estate AI Assistant Dashboard?
4.7 Final Capstone: Real-World Use Case
Connecting Frontend & Backend (FastAPI + Streamlit)
End-to-End Workflow: From Lead Generation to Deal Closing
Deploying the Full Real Estate AI Assistant Dashboard
Multi-Agent CrewAI - 14th Sep 2025
MultiAgentCrewAIBlogWriting
Module 5: Intelligent AI Interview System with AI-powered feedback
5.1: Introduction to AI Interview System
4 attachments
What is the Intelligent AI Interview System?
Objectives and learning outcomes
Real-world applications of AI-powered interviews
Introduction to Autogen, FastAPI, Streamlit, and MongoDB stack
5.2: Understanding Multi-Agent AI with Autogen
8 attachments
What is Autogen? Why multi-agent systems?
Key components: Agents, conversations, tools, workflows
Autogen v0.4 & the AG2 split
Setting up Microsoft Autogen in VSCode
Configuring More Model for First Agent
Async Functionality in Python
Overview of the 4–5 autonomous agents
Decision-making, inter-agent coordination, and memory
5.3: Building AI Interview Agents
1 attachment
Building All AI Interview Agents
5.4: Backend with FastAPI & MongoDB
4 attachments
Building a FastAPI Hello World
Setting up project structure for the Interview System
Designing backend APIs (Interview sessions, Responses, Feedback)
Connecting FastAPI with MongoDB for data storage
5.5: Frontend with Streamlit
4 attachments
Introduction to Streamlit UI design
Building a candidate-facing dashboard
Starting a new AI interview session
Real-time Q&A interface with AI interviewer
5.6: End-to-End Integration
4 attachments
Connecting Agents + FastAPI + Streamlit
Running a complete AI Interview Session
Candidate interacts with system → feedback generated in real-time
Making the system production-ready
Module 6: Building RAG Chatbot using n8n Automation
8 attachments
What Is n8n and What Are the Benefits of Using It?
Workflows, Automations, AI Agents - What's the Difference?
Create Your n8n Account and Explore the Interface
Build Your First n8n Workflow Step-by-Step
Create Your First Project in n8n
Automatic Vector Database Updates with Google Drive
AI Agent Node, Vector Database, Embeddings & More
Build n8n Workflows with this n8n Agent!
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UpSkill with Success Analytics
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