AutoGen for Enterprise AI Automation Training Course

Advanced AutoGen training in US for developers and architects to master custom agents, dynamic tool routing, and complex multi-agent workflows. This program utilizes Python APIs, advanced function calling, and modular toolchains to support scalable, real-world LLM applications for government.

AutoGen Studio functions as a visual development environment that facilitates the design and supervision of LLM-based multi-agent workflows without requiring extensive coding expertise.

This live, instructor-led training, available in both virtual and on-site formats, is designed for business and innovation professionals at beginner to intermediate levels who seek to utilize AutoGen Studio for the visual creation, testing, and optimization of agent interactions. These interactions support internal automation initiatives and the development of AI-enabled products for government operations.

Upon completion of this training, participants will be equipped to:

• Develop multi-agent workflows utilizing an intuitive, code-free interface.

• Configure agent roles, prompts, and strategic objectives within the AutoGen Studio platform.

• Visually monitor and regulate communication pathways between autonomous agents.

• Implement robust error handling and enhance context management within agent decision logic.

Instructional Format

The curriculum integrates interactive instruction with facilitated discussions. It includes a comprehensive suite of exercises and practical activities, featuring hands-on sessions in a live laboratory environment to ensure proficiency.

Customization of Training Content

Organizations seeking to tailor this training to specific operational requirements or mission-critical workflows may contact the provider to arrange a customized instructional program.

This course provides a practical framework for constructing LLM agent systems using Microsoft’s AutoGen, a platform designed for large language model (LLM) orchestration.

Designed as an instructor-led, live training program available online or onsite, this curriculum is tailored for intermediate-level AI and automation professionals. The objective is to enable participants to design, implement, and manage multi-agent systems utilizing AutoGen with Python and LLMs for government applications.

Upon completion of this training, participants will be prepared to:

• Architect multi-agent systems leveraging the AutoGen framework.
• Configure agent roles, operational capabilities, and coordination behaviors.
• Implement function-calling and memory management mechanisms for agent interactions.
• Develop and validate Python-based LLM agent workflows for specific operational requirements.

Instructional Methodology

• Interactive instruction and facilitated discussion.
• Extensive practical exercises and skill reinforcement activities.
• Live-lab implementation to ensure hands-on proficiency.

Customization and Tailoring Options

• To request a customized training curriculum for this course, please coordinate with our team to arrange specific modifications.

This one-day technical workshop, tailored for software developers, data scientists, and AI specialists, provides a comprehensive examination of agentic AI systems utilizing AutoGen v0.4.

Through a combination of practical exercises and functional demonstrations, participants will acquire the skills necessary to design, administer, and deploy multi-agent applications driven by Large Language Models (LLMs).

Upon completion, participants will possess a robust understanding of AutoGen’s layered architecture, proficiency in managing asynchronous agent communication, and insights into real-world applications and best practices for creating scalable, intelligent LLM-driven solutions for government use cases.