A2A Protocols & APIs-Build Real-World AI Systems with Python

Are you ready to move beyond toy AI projects and build real systems where Artificial Intelligence communicates with other systems, services, and even other AIs? If so, this course is designed for you.

This is a hands-on, project-driven journey into the world of AI-to-AI (A2A) protocols, REST APIs, and event-driven workflows that form the backbone of modern intelligent applications. Instead of just theory, you’ll gain practical coding experience by building APIs, integrating machine learning models, and designing workflows that can operate in real-world business environments.

We’ll begin by mastering the fundamentals of REST APIs — understanding HTTP methods, JSON data exchange, and building your first API with Flask or FastAPI. From there, we’ll bring APIs to life by integrating Hugging Face models for sentiment analysis, testing endpoints with Postman or Curl, and deploying them for practical use.

Next, you’ll dive into real-world use cases:

• Automating customer feedback escalation by detecting negative sentiment, creating CRM tickets, and sending Slack alerts.

• Classifying and routing emails using SpaCy or BERT, then forwarding them with Gmail or SendGrid.

• Powering chatbots and voice assistants with intent detection using Rasa or Dialogflow, and triggering external APIs in response.

We’ll also explore the exciting frontier of Agentic AI and event-driven architectures, where AI agents can make decisions, trigger tasks, and coordinate across systems using tools like Kafka or Redis.

Each section includes hands-on labs, mini-projects, and quizzes to reinforce learning. Videos are concise (≤10 minutes), making it easy to progress in focused sprints.

By the end, you’ll have the confidence to design, build, and deploy scalable AI-powered systems that go beyond experiments — into production-ready reality.