Agentic AI Unleashed: Crafting LLM Applications with AutoGen Training Course

AutoGen is an open-source framework developed by Microsoft to facilitate the creation of multi-agent applications leveraging large language models, external tools, persistent memory, and user interaction.

This instructor-led, live training session, available via online or onsite delivery, is designed for senior developers and architects seeking to architect and deploy highly customized agents utilizing AutoGen’s Python APIs, function-calling features, and modular toolchains.

Upon completion of this training, participants will be capable of:

• Creating custom agents with role-specific logic and tool routing.
• Constructing dynamic workflows using advanced function calling and context switching.
• Integrating memory modules and planning frameworks within multi-agent teams.
• Managing multi-agent error states and implementing adaptive retry mechanisms.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This program provides essential capabilities for government teams looking to enhance their autonomous system development for government missions.

AutoGen for Enterprise AI Automation provides practical instruction on deploying scalable, intelligent agent systems to streamline complex business operations via the AutoGen framework. This solution is designed specifically for government agencies seeking robust automation capabilities.

This instructor-led training, available online or onsite, targets intermediate to advanced AI professionals intent on implementing multi-agent architectures across enterprise platforms and processes using the AutoGen framework.

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

• Architect and automate enterprise workflows utilizing AutoGen and large language model (LLM) agents.
• Integrate AutoGen with LangChain to enhance orchestration and context management.
• Develop Retrieval-Augmented Generation (RAG) pipelines and link enterprise data for contextual automation.
• Interface agents with enterprise platforms, including Slack, Jira, and SharePoint.
• Scale and monitor AutoGen deployments within production environments.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

AutoGen Studio provides a graphical environment that allows personnel to architect and manage large language model-based multi-agent systems without requiring programming expertise.

This live, instructor-led instruction—delivered via remote or on-site modalities—is designed for business development and innovation staff at introductory to intermediate proficiency levels who seek to utilize AutoGen Studio to visually construct, evaluate, and refine agent interactions for internal automation initiatives or AI-enabled product creation.

Upon completion of the instructional series, participants will be capable of:

• Constructing multi-agent systems using an accessible, no-code interface.

• Defining agent roles, prompts, and objectives within the AutoGen Studio framework.

• Visually overseeing and directing inter-agent communication pathways.

• Implementing error management protocols and optimizing context handling within agent logic.

Instructional Format

The curriculum integrates interactive lectures with facilitated discussions, reinforced by extensive exercises and practical applications, including direct engagement in a live laboratory setting.

Course Customization Options

Organizations seeking to align this training with specific operational requirements are encouraged to contact us to establish a tailored program. This approach ensures that the content meets the unique demands for government entities and other public sector bodies.

This program provides practical instruction on constructing Large Language Model (LLM) agent systems by leveraging Microsoft’s AutoGen framework. The curriculum is tailored for technical teams requiring robust solutions for government applications.

Delivered by expert instructors, this live training—available via online or onsite modalities—is intended for AI and automation specialists at an intermediate proficiency level. Participants will learn to design, deploy, and manage multi-agent architectures using Python and LLM technologies within federal workflows.

Upon completion of this course, attendees will demonstrate the ability to:

• Architect multi-agent systems utilizing the AutoGen framework.
• Define agent roles, functional capabilities, and coordination protocols.
• Implement function-calling mechanisms and memory management for inter-agent communication.
• Develop and validate Python-based LLM agent workflows suitable for operational deployment.

Instructional Methodology

• Facilitated lectures and technical discussions.
• Extensive practical exercises and skill-building activities.
• Direct implementation through a live laboratory environment.

Program Adaptability

• To arrange for government-specific customization of this curriculum, please contact the training coordination team.