Build Multi-Agent Automation Workflows
Build Autonomous AI Agents with AutoGen & MCP –End-to-End Agentic AI Workflows with 6 Agents for Real-World Automation
Lo que serás capaz de hacer
Welcome to the future of AI automation – Agentic AI with the AutoGen Framework. This course is your ultimate guide to building intelligent, autonomous AI agents that collaborate, self-correct, and execute complex tasks without constant human intervention. Even if you're new to this space, we start from the absolute basics— no prior knowledge of agent frameworks is required . You’ll start by mastering the core foundations – Large Language Models (LLMs), AI Agents, Multi-Agents, and the Model Context Protocol (MCP) , which serves as the backbone for agent-to-tool communication. Next, you’ll learn how to engineer contexts and craft prompts that unlock the true potential of your AI agents. Through hands-on projects , you’ll build real-world agents like Browser Automation Agents, Database Agents, API Agents, and Jira Agents. We’ll go beyond theory with advanced collaboration patterns , including multi-agent group chats, context-driven workflows, and automated validation. By the end, you’ll have the skills to create production-ready agentic systems using the Agent Factory Pattern, empowering you to design reusable, scalable, and highly efficient AI workflows. If you’re ready to level up from AI users to AI builders , this course will give you the tools and mindset to lead the next wave of AI innovation. This course uses Python Stack & Python basics has been thoroughly discussed in the last section of the course for brush up.
- Get a detailed understanding of LLMs, AI Agents, MCP, Multi-Agent Systems, and Agentic AI
- Build Multi Agentic workflows using Microsoft AutoGen Framework
- Develop Specialized Agents such as Jira Agent for Bug analysis, Playwright Agent for browser Automation, API Agent for testing, DB Agent for data analysis
- Build intelligent, autonomous AI agents that collaborate, self-correct, and execute complex tasks without constant human intervention
- Understand the power of Context Engineering to enable AI agents to work effectively toward defined goals
- Gain a thorough understanding of AutoGen framework concepts including Assistant Agents, human-in-the-loop collaboration, termination strategies, and state-savin
Temario
UNIDAD 1 - Essentials of LLMs, AI Agents & MCP Servers – Build Conceptual Clarity · 3 leccionesUNIDAD 1 - Essentials of LLMs, AI Agents & MCP Servers – Build Conceptual Clarity
UNIDAD 1 - Essentials of LLMs, AI Agents & MCP Servers – Build Conceptual Clarity
- FAQ's (Must watch)- What will you learn from this course?
- What is LLM? Its Characteristic features and limitations
- Transition from LLM -> AI Agents. Where AI Agent shines?
UNIDAD 2 - Getting Deep Diver into MCP Server to build an AI Agent with claude · 8 leccionesUNIDAD 2 - Getting Deep Diver into MCP Server to build an AI Agent with claude
UNIDAD 2 - Getting Deep Diver into MCP Server to build an AI Agent with claude
- Important Note
- What is MCP? How this MCP help an LLM to be super powerful
- Resources to download
- Build Agent which automates web browser using Playwright/Selenium MCP Servers
- Debugging steps when there are failures in configuring MCP servers
- Build Agent which can extract data from SQL database by framing complex queries
- Build Agent which can perform API Testing & talk to local File systems for data
- Build Agent which can read/write to excel file for any given scenario
UNIDAD 3 - Intro to Agentic AI & Setup Python IDE environment for AutoGen Framework · 5 leccionesUNIDAD 3 - Intro to Agentic AI & Setup Python IDE environment for AutoGen Framework
UNIDAD 3 - Intro to Agentic AI & Setup Python IDE environment for AutoGen Framework
- Disadvantages of having Single Agent - and how Multi Agent fixes the problem
- What is Agentic AI? Importance of Multi Agent work flows
- Setting up Python and IDE to get started in Windows Machine
- Setting up Python and IDE to get started in MAC Machine
- Setup Python virtual enviroment & install AutoGen packages into Python Env
UNIDAD 4 - AutoGen Framework fundamentals - AssitantAgents, RoundRobinGroupchat Concepts · 5 leccionesUNIDAD 4 - AutoGen Framework fundamentals - AssitantAgents, RoundRobinGroupchat Concepts
UNIDAD 4 - AutoGen Framework fundamentals - AssitantAgents, RoundRobinGroupchat Concepts
- How to kickstart running any python code and its function call
- Introduction to AssistantAgent and its implementation with an example
- How to make AssitantAgent answer the multimodal inputs such as images, files
- What is RoundRobinGroupChat? How to coordinate between agents in a team
- Full course code download
UNIDAD 5 - AutoGen Framework fundamentals - Termination, StateSaving, HumanInLoop concepts · 4 leccionesUNIDAD 5 - AutoGen Framework fundamentals - Termination, StateSaving, HumanInLoop concepts
UNIDAD 5 - AutoGen Framework fundamentals - Termination, StateSaving, HumanInLoop concepts
- What is Termination Condition and why do we need it? -MessageMax termination
- How to get human in loop - Intro to UserProxyAgent class in AutoGen
- State Saving Mechanism - How to switch between agents preserving state
- SelectorGroupChat - How to dynamically choose which agent to act in teams
UNIDAD 6 - AutoGen Framework fundamentals - SelectorGroupChat, mcpworkbench & BrowserAgent · 3 leccionesUNIDAD 6 - AutoGen Framework fundamentals - SelectorGroupChat, mcpworkbench & BrowserAgent
UNIDAD 6 - AutoGen Framework fundamentals - SelectorGroupChat, mcpworkbench & BrowserAgent
- Special Agent of Autogen which has inbuilt browser Automation capabilities
- How to add MCP tooling support to Assistant Agent with mcpworkbench class
- End to End example includes AssitantAgent, MCP, HumanInLoop, Teams, Termination
UNIDAD 7 - Understand the Goal of the Agentic workflow & setup Agents Prerequisites -Jira · 4 leccionesUNIDAD 7 - Understand the Goal of the Agentic workflow & setup Agents Prerequisites -Jira
UNIDAD 7 - Understand the Goal of the Agentic workflow & setup Agents Prerequisites -Jira
- Understand the Goals of the Multi Agent workflow with a plan of execution
- Setup Cloud Jira account for Agenti AI project execution
- High level overview on how to create bugs and retrieve with in Jira project
- Understand how to add Jira Environment variables into Assistant Agent - demo
UNIDAD 8 - Use Jira Agent & Playwright Agent to Build Autonomous Multi Agentic Workflow · 7 leccionesUNIDAD 8 - Use Jira Agent & Playwright Agent to Build Autonomous Multi Agentic Workflow
UNIDAD 8 - Use Jira Agent & Playwright Agent to Build Autonomous Multi Agentic Workflow
- Create Jira Agent with Integrating Jira mcpworkbench into Assistant Agent
- Create Browser Automation Agent with Integrating Playwright mcpworkbench
- Important : Setting up context to Jira & Browser Agents for achieving the goal
- Context - System messages of Jira
- Context - System messages of Browser Agent
- Complete end to end workflow to build Agentic AI solution with RoundRobin Teams
- Run the Multi Agentic workflow & analyze the agents output behaviour in detail
UNIDAD 9 - Agent Factory Pattern-Design Multi Agent system with Database, API, Excel Agents · 5 leccionesUNIDAD 9 - Agent Factory Pattern-Design Multi Agent system with Database, API, Excel Agents
UNIDAD 9 - Agent Factory Pattern-Design Multi Agent system with Database, API, Excel Agents
- Database-API-Excel -Understand the Goals of the Multi Agents and its workflow
- What is AgentFactory? How to isolate and create Agents within factory
- Part 1 - Build mcp Config file & connect Factory ,Config file to main test flow
- Part 2 - Build mcp Config file & connect Factory ,Config file to main test flow
- Complete end to end workflow to build Agentic AI solution with AutoGen concepts
UNIDAD 10 - Context Engineering - Define System messages to Agents for internal coordination · 3 leccionesUNIDAD 10 - Context Engineering - Define System messages to Agents for internal coordination
UNIDAD 10 - Context Engineering - Define System messages to Agents for internal coordination
- Part 1 -Provide System messages to Database, API, Excel Agents in logical manner
- Part 2-Provide System messages to Database, API, Excel Agents in logical manner
- Run the Multi Agentic workflow & analyze the agents output behaviour in detail
UNIDAD 11 - Summary - Recap - what did we learn? How this skill help in my next career leap? · 3 leccionesUNIDAD 11 - Summary - Recap - what did we learn? How this skill help in my next career leap?
UNIDAD 11 - Summary - Recap - what did we learn? How this skill help in my next career leap?
- Recap of Agenti AI - Multi Agent workflow concepts learned in the course
- Code download
- Resume inputs what you can add with the skills gained from this course
UNIDAD 12 - Glossary - Learn Python Fundamentals · 15 leccionesUNIDAD 12 - Glossary - Learn Python Fundamentals
UNIDAD 12 - Glossary - Learn Python Fundamentals
- Download code
- Python hello world Program with Basics
- Datatypes in python and how to get the Type at run time
- List Datatype and its operations to manipulate
- Tuple and Dictionary Data types in Python with examples
- How to Create Dictionaries at run time and add data into it
- If else condition in python with working examples
- How loops work in Python and importance of code idendation
- Programming examples using for loop - 1
- Programming examples using While loop - 2
- What are functions? How to use them in Python
- OOPS Principles : Classes and objects in Python
- What is Constructor and its role in Object oriented programming
- Inheritance concepts with examples in Python
- Strings and its functions in python
UNIDAD 13 - Bonus Lecture · 1 leccionesUNIDAD 13 - Bonus Lecture
UNIDAD 13 - Bonus Lecture
- Bonus Lecture
Tu certificado lo emite la SEP, no solo una plataforma
Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.
Tu certificado con INEC
- Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
- Documento oficial con folio verificable en línea
- Lo otorga la Universidad Tecnológica Fidel Velázquez
Otras plataformas en línea
- Constancia privada emitida por la misma plataforma
- Solo acredita horas cursadas o asistencia
- Sin respaldo de una autoridad educativa
Tu itinerario, de la inscripción al certificado
- 1
Inscripción con pago único
Pagas $2,800 MXN una sola vez y entras de inmediato al curso.
- 2
Estudias a tu ritmo
13 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.
- 3
Cuestionarios por unidad
Cuestionarios para comprobar lo aprendido.
- 4
Certificado
Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.
Un certificado oficial de la SEP
Muestra · verificable por folio y QR
- Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
- Contenido impartido por Rahul Shetty Academy - 1.3 Million Learners.
- Folio y QR verificables para compartirlo con quien te contrate.
Empieza hoy, a tu ritmo
Un solo pago y acceso inmediato al curso completo durante 12 meses.
- 13 unidades · 66 lecciones · 60 h
- 12 meses de acceso
- Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
Sobre tu inscripción
¿Cómo es el pago?
Un solo pago de $2,800 MXN. No hay mensualidades ni cargos recurrentes.
¿Cuánto tiempo tengo acceso?
12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.
¿Quién imparte el contenido?
El curso es impartido por Rahul Shetty Academy - 1.3 Million Learners; INEC gestiona tu inscripción, evaluación y certificado.
¿Qué pasa cuando vence mi acceso?
Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.
