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

Learn REST APIs, AI Integrations, Agentic Workflows & Real Use Cases — Hands-On with Flask, FastAPI, Hugging Face, Rasa

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What you'll learn

  • Build and test REST APIs with Python (Flask & FastAPI)
  • Integrate AI models (Hugging Face, SpaCy, BERT) into real applications
  • Design AI-to-AI (A2A) protocols and workflows that connect multiple AI services
  • Automate customer feedback handling with sentiment analysis + CRM + Slack
  • Classify and route emails using AI email pipelines (Gmail/SendGrid APIs)
  • Power chatbots & voice assistants with intent detection (Rasa, Dialogflow)
  • Implement event-driven AI workflows using Kafka or Redis
  • Apply best practices for error handling, resilience, and scalability
  • Understand Agentic AI and how to simulate decision-making agents
  • Build end-to-end mini projects to showcase your skills in real-world use cases

Requirements

  • Basic knowledge of Python programming (variables, functions, loops)
  • Familiarity with using the command line / terminal
  • Curiosity to learn how APIs and AI systems connect
  • No prior AI or API experience is required — we’ll build everything step by step
  • A computer with internet access (Windows/Mac/Linux)

Description

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.

Who this course is for:

  • Developers who want to integrate AI into real-world workflows
  • Data scientists & ML engineers who want to deploy their models via APIs
  • AI/ML enthusiasts curious about how AI systems talk to each other
  • Backend engineers exploring AI-powered microservices and event-driven systems
  • Students & professionals preparing for careers in AI systems engineering, MLOps, or AI product development
  • Anyone who prefers hands-on, project-based learning rather than just theory


Your Instructor


Anand Nednur
Anand Nednur

Anand Rao is a senior technical instructor and cloud consultant. He has worked with large enterprises for about 15 years and has a wide range of technologies in his portfolio. Anand is adept at not just cloud platforms (Azure , AWS and GCP) but also well-versed with IAM, security and automation with powershell and python.

In addition, he has been developing and updating the content for various courses. He has been assisting many engineers in the lab examinations and securing certifications.

Anand Rao has delivered instructor led trainings in several states in India as well as several countries like USA, Bahrain, Kenya and UAE. He has worked as a Microsoft Certified Trainer globally for Corporate Major Clients.

Anand is also a Certified seasoned professional holding certifications in following platforms:

Microsoft Certified Trainer ( MCT )
SY0-401 : CompTIA Security +
Scrum Certified master ( SCRUM )
ITIL V3
Certified Network Defender ( CND – EC-Council )

Certified Ethical hacker ( CEH – EC-Council )
70-640 MS Active Directory
70-533 MS Azure Administration
70-534 MS Azure Architecture
AWS certified solutions Architect – Associate
AWS certified sysops administrator – Associate
Google Cloud Platform-Cloud Architect (GCP)
Certified Cloud Security Knowledge ( CCSK )


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Course Curriculum


  Course Overview
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  Course Introduction
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  Building Block – REST APIs + AI Basics
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  Use Case 1 – Customer Feedback Escalation
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  Use Case 2 – AI Email Classifier
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  Use Case 3 – Chatbot or Voice Assistant Backend
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  Extra - Agentic AI + Event-Driven Workflows
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  Wrap-Up & Next Steps
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  Audio Version of Training
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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

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