Python for Autonomous Agents: Tooling, SDKs & Orchestration Training Course

Python is the core language powering the development and orchestration of autonomous AI agents. This course focuses on practical implementation using modern SDKs and frameworks such as LangChain and AutoGen to build, connect, and manage agent workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level backend engineers, platform engineers, and ML engineers who wish to implement and orchestrate autonomous agents using Python tooling and APIs.

By the end of this training, participants will be able to:

Set up and configure Python-based environments for agentic systems.
Use popular agent SDKs like LangChain and AutoGen to create functional agents.
Integrate tools and APIs to extend agent capabilities.
Orchestrate multi-agent workflows and communication patterns.
Apply best practices for debugging, testing, and maintaining agentic codebases.

Format of the Course

Interactive lecture and discussion.
Hands-on programming exercises and live demos.
Practical projects building end-to-end agent workflows.

Course Customization Options

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

This course is available as onsite live training in United Kingdom or online live training.

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Course Outline

Introduction to Python Environments for Agentic Development

Setting up Python, virtual environments, and dependency management
Using Git and Docker for versioning and isolation
Best practices for reproducible environments

Overview of Agent SDKs and Frameworks

LangChain, AutoGen, and other emerging SDKs
Agent structure and lifecycle: perception, reasoning, and action
Comparing SDK capabilities and architecture styles

Building Functional Agents in Python

Creating a simple agent with LangChain
Connecting agents to external tools and APIs
Handling input/output, memory, and persistence

Tool and API Integration

Defining and registering tools for agent use
Secure API integration and key management
Using external data sources and custom function calls

Agent Orchestration and Communication Patterns

Multi-agent collaboration using AutoGen
Task delegation and planning logic
Event-driven and asynchronous orchestration

Testing, Debugging, and Observability

Testing agents with mock inputs and controlled environments
Debugging message flow and tool invocation
Implementing structured logging and performance metrics

Deployment and Production Considerations

Packaging and containerizing Python agent services
Integrating with CI/CD pipelines
Scaling, monitoring, and maintaining long-running agents

Summary and Next Steps

Requirements

An understanding of Python programming and package management
Experience with REST APIs and JSON data structures
Basic familiarity with asynchronous I/O in Python

Audience

Backend engineers
Platform engineers
ML engineers

21 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

Pre-course call with your trainer
Customisation of the learning experience to achieve your goals -

Bespoke outlines
Practical hands-on exercises containing data / scenarios recognisable to the learners

Training scheduled on a date of your choice
Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £5700 online delivery, based on a group of 2 delegates, £1800 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.