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A2A Protocols & APIs - Build Real-World AI Systems with Python
Course Overview
Course Description
Course Introduction
Welcome & What You_ll Learn Application to Application Protocols (3:10)
What are A2A Protocols & Why They Matter in AI Systems (5:54)
Building Block – REST APIs + AI Basics
FastAPI to Build Your First AI API Lab I-edited (5:31)
Introduction to APIs and FastAPI (5:41)
Test FastAPI API Using Postman-edited (5:49)
Hugging Face Model for Sentiment Analysis Code Demo edited1-1 (8:25)
Module : Quiz
Use Case 1 – Customer Feedback Escalation
Problem_Statement_Architecture_Overview.edited 2 (3:21)
Build the Sentiment Analysis API (Lab).edited (7:23)
Auto-Create CRM Tickets and Send Slack Alerts for Negative Feedback.edited (3:53)
Handle Errors and Improve Resilience in Sentiment Analysis API.edited 3 (6:09)
Module : Quiz
Use Case 2 – AI Email Classifier
Use gmail send grid API to fetch emails. (4:05)
Problem_Statement_Design_Logic.EDITED-2025-06-21 06 01 49(copy) 5 (2:52)
Classify Email Topics Using SpaCy or BERT (Lab) (8:11)
Forward Classified Emails to Different Endpoints (Lab)-1 (3:23)
Module : Quiz
Use Case 3 – Chatbot or Voice Assistant Backend
Build a Smart Chatbot Flow (4:25)
Set Up the Backend to Receive Intents (4:09)
Understand Intent Detection (RasaDialogflow) (1) (4:02)
Use Intent to Trigger External APIs (e.g., Weather, Booking) (Lab) (3:10)
Module : Quiz
Extra - Agentic AI + Event-Driven Workflows
What is Agentic AI_ Overview and Trends (3:55)
Simulate an AI Agent That Chooses What to Do (6:29)
Use Redis to Trigger AI Tasks (2:52)
Module : Quiz
Wrap-Up & Next Steps
Final Recap + Best Practices (5:30)
Where to Go Next (LangChain, MLOps, GPT Agents) (3:03)
Audio Version of Training
Audio Download
Classify Email Topics Using SpaCy or BERT (Lab)
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