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Agentic Programming Course

Class Dates
(click date for class times)
(click Enroll for locations)
5/1-5/2
Class Dates and Times
05/01/2025Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
05/02/2025Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT

Early Notice Class
Early Notice classes have enrollments that suggest that the class will run as scheduled.
Last Reg Date4/28
 
5/22-5/23
Class Dates and Times
05/22/2025Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
05/23/2025Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
6/26-6/27
Class Dates and Times
06/26/2025Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
06/27/2025Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
7/24-7/25
Class Dates and Times
07/24/2025Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
07/25/2025Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
8/21-8/22
Class Dates and Times
08/21/2025Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
08/22/2025Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
9/18-9/19
Class Dates and Times
09/18/2025Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
09/19/2025Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
Fee:  $995

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Agentic Programming Course

 

Overview

Agentic Programming is transforming AI development by enabling autonomous, adaptable AI agents that can collaborate, plan, and execute tasks independently. This course provides a hands-on introduction to building and deploying intelligent AI agents using cutting-edge frameworks like Microsoft AutoGen, Magentic-One, and n8n. Participants will learn how to integrate AI agents into workflows, automate complex processes, and enhance productivity in real-world applications.

Designed for developers, automation specialists, and AI professionals, this course equips learners with the skills to create multi-agent systems, validate AI-generated data, and implement best practices for AI-driven automation. By the end, participants will understand how to leverage agentic AI for business efficiency, software development, and intelligent decision-making—while also addressing key ethical and security considerations.

Note: As AI technology evolves, the course content will be updated periodically to reflect new trends and advancements.

Prerequisites

Basic knowledge of Generative AI is required. Understanding of Python programming concepts is recommended, but not required.

COURSE OUTLINE

Introduction to AI Agents and Agentic AI

  • Understanding agentic programming and its role in AI development
  • How AI agents differ from traditional software applications
  • Real-world examples of agentic AI in automation and business workflows

Core Principles of Agent-Oriented Programming (AOP)

  • Key characteristics of AI agents: autonomy, adaptability, and interactivity
  • Multi-agent collaboration: How AI agents communicate and interact
  • Overview of agentic design patterns: reflection, tool use, planning, and multi-agent collaboration

Building Intelligent AI Agents with AutoGen

  • Introduction to Microsoft’s AutoGen framework: Capabilities and use cases
  • Understanding the agent communication model and message passing
  • Designing and deploying agents using Python and AutoGen APIs
  • Using AutoGen Studio for rapid prototyping and workflow design

Implementing Multi-Agent Systems with Magentic-One

  • What is Magentic-One? How it extends AutoGen for complex workflow
  • Orchestration of AI agents: Coordinating multiple specialized agents
  • Practical use cases: Task delegation, multi-step planning, and execution
  • Integrating AI Agents into Workflows with n8n
  • Introduction to n8n as a workflow automation tool
  • Connecting agents to external services: Email, Google Docs, and APIs
  • Automating repetitive tasks with AI-powered decision-making

Validating and Structuring Agentic Data with Pydantic

  • Introduction to data validation in AI workflows
  • Using Pydantic to define schemas for AI-generated content
  • Ensuring structured and reliable outputs from AI agents

AI Agents in Business and Automation

  • Automating email processing: Categorizing and summarizing incoming emails
  • AI-assisted content creation: Refining blog posts and generating business documents
  • Improving productivity with AI-driven workflow automation

GitHub and Copilot for AI-Assisted Development

  • Understanding AI-powered code generation with GitHub Copilot
  • Best practices for integrating Copilot into Python and AutoGen development
  • Using Git for version control in agentic programming projects
  • GitHub and Copilot for AI-Assisted Development

Ethical Considerations and Challenges

  • Understanding AI bias and accountability in autonomous agents
  • Security concerns and responsible AI usage in workflow automation
  • Best practices for monitoring and auditing AI agent decisions

 

View outline in Word

LDLAPR

Attend hands-on, instructor-led Agentic Programming training classes at ONLC's nationwide locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

For additional training options, check out our list of Courses and select the one that's right for you.

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