Python for Autonomous Agents: Tooling, SDKs & Orchestration Training Course
Python is the core language driving 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 for government applications.
This instructor-led, live training (online or onsite) is designed for intermediate-level backend engineers, platform engineers, and ML engineers who wish to implement and orchestrate autonomous agents using Python tooling and APIs in a public sector context.
By the end of this training, participants will be able to:
- Set up and configure Python-based environments for agentic systems tailored for government use.
- Utilize popular agent SDKs like LangChain and AutoGen to create functional agents for government projects.
- Integrate tools and APIs to enhance the capabilities of agents in public sector workflows.
- Orchestrate multi-agent workflows and communication patterns aligned with government requirements.
- Apply best practices for debugging, testing, and maintaining agentic codebases within a government framework.
Format of the Course
- Interactive lecture and discussion focused on government applications.
- Hands-on programming exercises and live demonstrations relevant to public sector needs.
- Practical projects building end-to-end agent workflows for government initiatives.
Course Customization Options
- To request a customized training for this course tailored for government, please contact us to arrange.
Course Outline
Introduction to Python Environments for Agentic Development
- Setting up Python, virtual environments, and dependency management for government projects
- Using Git and Docker for version control and environment isolation
- Best practices for creating reproducible development environments
Overview of Agent SDKs and Frameworks
- Evaluation of LangChain, AutoGen, and other emerging SDKs for government use
- Understanding the structure and lifecycle of agents: perception, reasoning, and action
- Comparing capabilities and architectural styles of different SDKs
Building Functional Agents in Python
- Developing a simple agent using LangChain for government applications
- Integrating agents with external tools and APIs
- Managing input/output, memory, and persistence in agent development
Tool and API Integration
- Defining and registering tools for agent use in government projects
- Ensuring secure API integration and key management
- Leveraging external data sources and custom function calls
Agent Orchestration and Communication Patterns
- Facilitating multi-agent collaboration using AutoGen for government tasks
- Implementing task delegation and planning logic in agent systems
- Designing event-driven and asynchronous orchestration mechanisms
Testing, Debugging, and Observability
- Testing agents with mock inputs and controlled environments for government applications
- Debugging message flow and tool invocation issues in agent systems
- Implementing structured logging and performance metrics for enhanced observability
Deployment and Production Considerations
- Packaging and containerizing Python agent services for government deployment
- Integrating with continuous integration/continuous deployment (CI/CD) pipelines
- Scaling, monitoring, and maintaining long-running agents in production environments
Summary and Next Steps
Requirements
- An understanding of Python programming and package management for government
- Experience with REST APIs and JSON data structures
- Basic familiarity with asynchronous I/O in Python
Audience
- Backend engineers
- Platform engineers
- Machine learning engineers
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
Python for Autonomous Agents: Tooling, SDKs & Orchestration Training Course - Booking
Python for Autonomous Agents: Tooling, SDKs & Orchestration Training Course - Enquiry
Python for Autonomous Agents: Tooling, SDKs & Orchestration - Consultancy Enquiry
Consultancy Enquiry
Upcoming Courses
Related Courses
Agentic Development with Gemini 3 and Google Antigravity
21 HoursGoogle Antigravity is a development environment designed for government to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.
This instructor-led, live training (online or onsite) is aimed at advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment for government applications.
Upon completing this training, participants will be prepared to:
- Build autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution in public sector environments.
- Develop agents in Antigravity that can analyze tasks, write code, and interact with tools to support government operations.
- Integrate Gemini-driven agents with enterprise systems and APIs used by government agencies.
- Optimize agent behavior, safety, and reliability in complex government environments.
Format of the Course
- Expert demonstrations combined with interactive discussions to align with public sector needs.
- Hands-on experimentation with autonomous agent development for government use cases.
- Practical implementation using Antigravity, Gemini 3, and supporting cloud tools tailored for government workflows.
Course Customization Options
- If your team requires domain-specific agent behaviors or custom integrations for government operations, please contact Govtra to tailor the program.
Advanced Antigravity: Feedback Loops, Learning & Long-Term Agent Memory
14 HoursGoogle Antigravity is an advanced framework designed for experimentation with long-lived agents and emergent interactive behaviors.
This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods. The training aligns with the needs of public sector workflows, governance, and accountability for government.
Upon completing this course, participants will gain the skills to:
- Design long-term memory structures to ensure agent persistence.
- Implement effective feedback loops to refine agent behavior.
- Evaluate learning trajectories and address model drift.
- Integrate memory mechanisms into complex multi-agent systems.
Format of the Course
- Expert-led discussions complemented by technical demonstrations.
- Hands-on exploration through structured design challenges.
- Application of concepts to simulated agent environments.
Course Customization Options
- If your organization requires tailored content or case-specific examples, please contact us to customize this training for government.
Antigravity for Developers: Building Agent-First Applications
21 HoursAntigravity is a development platform designed to build AI-driven, agent-first applications for government.
This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to create real-world applications using autonomous AI agents within the Antigravity environment.
After completing this training, participants will be equipped to:
- Develop applications that rely on autonomous and coordinated AI agents for government.
- Use the Antigravity IDE, editor, terminal, and browser for end-to-end development for government projects.
- Manage multi-agent workflows with the Agent Manager to enhance public sector workflows.
- Integrate agent capabilities into production-grade software systems for government use.
Format of the Course
- Blended presentations with in-depth demonstrations tailored to public sector needs.
- Extensive hands-on practice and guided exercises aligned with government requirements.
- Real implementation work inside the Antigravity live environment, focusing on government applications.
Course Customization Options
- For tailored content aligned with your development stack and specific public sector requirements, please contact us to arrange a customized version of this training for government.
Governance and Security Patterns for WrenAI in the Enterprise
14 HoursWrenAI is an AI-driven analytics platform designed to integrate data, model insights, and generate dashboards. In enterprise environments, robust governance and security are essential for ensuring safe and compliant adoption.
This instructor-led, live training (online or onsite) is aimed at advanced-level professionals in government who wish to implement governance, compliance, and security patterns for WrenAI at scale.
By the end of this training, participants will be able to:
- Design and implement permissioning models in WrenAI.
- Apply auditability and monitoring practices for compliance.
- Set up secure environments with enterprise-level controls.
- Roll out WrenAI safely across large organizations, including those for government.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs with governance and security configurations.
- Practical exercises simulating enterprise rollout scenarios, including those relevant to government operations.
Course Customization Options
- To request a customized training for this course, tailored specifically for government needs, please contact us to arrange.
Managing Agent Workflows in Google Antigravity: Orchestration, Planning and Artifacts
14 HoursGoogle Antigravity is an agent-centric development platform designed to orchestrate, supervise, and coordinate AI-driven coding and automation workflows for government.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to design, manage, and optimize multi-agent workflows within Google Antigravity.
Upon completion of this training, participants will gain the skills to:
- Configure agent responsibilities and orchestration pipelines within the Manager interface.
- Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
- Implement verification strategies to ensure agent actions remain transparent and auditable for government.
- Optimize multi-agent collaboration for complex development and operational tasks.
Format of the Course
- Guided presentations and practical demonstrations.
- Scenario-based exercises focused on real workflow challenges.
- Hands-on experimentation within a live Antigravity workspace.
Course Customization Options
- If you require a tailored version of this course, please contact us to discuss customization options for government.
Modernizing Legacy BI with WrenAI: Adoption, Migration, and Change Management
14 HoursWrenAI enables organizations to advance from static dashboards to conversational analytics and embedded generative business intelligence (BI). This transition necessitates thorough adoption planning, asset migration, and effective change management practices.
This instructor-led, live training (online or onsite) is designed for intermediate-level BI and data platform professionals who aim to modernize legacy BI systems with WrenAI.
By the end of this training, participants will be able to:
- Assess legacy BI environments and identify opportunities for modernization.
- Plan and execute migrations from static dashboards to WrenAI.
- Implement conversational analytics and embedded GenBI capabilities.
- Lead organizational change management efforts for BI modernization.
Format of the Course
- Interactive lecture and discussion.
- Hands-on exercises focused on migration and adoption planning.
- Practical labs for conversational analytics and embedded GenBI.
Course Customization Options
- To request a customized training for government, please contact us to arrange.
Testing & Verifying Agent-Driven Code: Quality Assurance in Antigravity
14 HoursAntigravity is a framework designed for advanced agent-driven development workflows.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to verify, validate, and secure the output generated by AI agents operating within Antigravity-driven environments.
Upon completing this training, participants will be able to:
- Evaluate the accuracy and safety of code artifacts produced by agents.
- Utilize structured methods to verify tasks executed by agents.
- Effectively analyze browser recordings and trace agent activity.
- Apply quality assurance and security principles to ensure the reliability of agent workflows.
Format of the Course
- Instructor-guided technical briefings and discussions.
- Practical exercises focused on verifying real-world agent workflows.
- Hands-on testing and validation within a controlled laboratory environment.
Course Customization Options
- Adaptation of scenarios, workflows, and testing examples is available upon request to better align with specific needs for government applications.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the generation of SQL queries from natural language and offers AI-powered analytics, enhancing data access speed and intuitiveness. For enterprise-grade use, quality assurance and observability practices are crucial to ensure accuracy, reliability, and compliance.
This instructor-led, live training (online or onsite) is designed for advanced-level data and analytics professionals who seek to evaluate query accuracy, apply prompt tuning, and implement observability practices for monitoring WrenAI in production environments.
By the end of this training, participants will be able to:
- Assess the accuracy and reliability of natural language to SQL outputs.
- Implement prompt tuning techniques to enhance performance.
- Track drift and query behavior over time.
- Integrate WrenAI with logging and observability frameworks.
Format of the Course
- Interactive lectures and discussions.
- Hands-on exercises focusing on evaluation and tuning techniques.
- Practical labs for observability and monitoring integrations.
Course Customization Options
- To request a customized training for government or other specific needs, please contact us to arrange.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API is a robust interface designed for generating SQL queries from natural language, building custom applications, and integrating charts into internal platforms for government use.
This instructor-led, live training (available online or onsite) is targeted at intermediate-level engineers who wish to leverage the WrenAI API for practical applications, including SQL generation, data visualization, and application integration within public sector workflows.
By the end of this training, participants will be able to:
- Authenticate and connect government applications to the WrenAI API.
- Generate SQL queries from natural language inputs for enhanced data management.
- Create and embed charts using API endpoints to support data-driven decision-making.
- Integrate WrenAI into backend systems and internal tools to improve operational efficiency for government operations.
Format of the Course
- Interactive lectures and discussions focused on government applications.
- Hands-on exercises involving API calls and integrations tailored for public sector use cases.
- Practical projects connecting apps, charts, and data pipelines to enhance governance and accountability.
Course Customization Options
- To request a customized training for government agencies, please contact us to arrange.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud is a modern platform designed for connecting data sources, modeling data, and creating interactive dashboards for government use.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data professionals who wish to learn how to set up WrenAI Cloud, model data, and visualize insights in dashboards for government applications.
By the end of this training, participants will be able to:
- Set up and configure WrenAI Cloud environments for government use.
- Connect WrenAI Cloud to multiple data sources for comprehensive data integration.
- Model data and define relationships for advanced analytics in a government context.
- Create interactive dashboards to provide actionable business insights for government operations.
Format of the Course
- Interactive lecture and discussion tailored for government data professionals.
- Hands-on cloud platform configuration and data modeling exercises relevant to public sector workflows.
- Practical exercises in dashboard building and visualization, aligned with government reporting standards.
Course Customization Options
- To request a customized training for this course tailored to specific government needs, please contact Govtra to arrange.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI equips finance teams with the capability to model key performance indicators (KPIs), integrate standardized metrics, and design dashboards that comply with regulatory requirements and audit standards.
This instructor-led, live training (online or onsite) is designed for intermediate-level to advanced-level finance professionals who seek to leverage WrenAI for constructing compliant financial data models and dashboards that support decision-making and risk management.
By the end of this training, participants will be able to:
- Model financial KPIs and metrics using WrenAI.
- Create dashboards that align with regulatory and audit requirements.
- Integrate WrenAI with finance data sources for real-time reporting.
- Implement best practices for financial analytics and risk monitoring.
Format of the Course
- Interactive lectures and discussions.
- Hands-on exercises involving financial data models.
- Practical labs focused on dashboard design and compliance reporting.
Course Customization Options
- To request a customized training for government, please contact us to arrange.
WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails
21 HoursWrenAI is an open-source generative business intelligence (BI) tool designed to facilitate the conversion of natural language into SQL and support semantic data modeling.
This instructor-led, live training (available online or onsite) is tailored for advanced-level data engineers, analytics engineers, and machine learning engineers who aim to build robust semantic layers, refine prompts, and ensure reliable SQL generation for government applications.
By the end of this training, participants will be able to:
- Implement semantic models to maintain consistent metric definitions across teams for government use.
- Optimize text-to-SQL performance to ensure accuracy and scalability in public sector workflows.
- Configure and enforce guardrails to prevent invalid or risky queries, enhancing data governance and accountability for government.
- Integrate WrenAI OSS into data pipelines and analytics workflows for enhanced efficiency and reliability in government operations.
Format of the Course
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment to ensure practical application for government tasks.
Course Customization Options
- To request a customized training tailored to specific needs, please contact us to arrange.
WrenAI for Product Teams: Conversational Analytics and Self-Service BI
14 HoursWrenAI is a conversational analytics platform that translates natural-language queries into reliable insights, enabling non-technical teams to generate data-driven information quickly and consistently.
This instructor-led, live training (online or onsite) is designed for intermediate-level product managers, analysts, and data champions who wish to adopt conversational analytics and build self-service business intelligence capabilities with WrenAI.
By the end of this training, participants will be able to:
- Design conversational analytics workflows that provide reliable insights into product performance.
- Create and maintain a standardized metrics layer for consistent reporting across teams.
- Utilize natural-language to SQL features effectively to address product-related questions.
- Integrate WrenAI-driven self-service dashboards and guardrails into product workflows, enhancing decision-making processes.
Format of the Course
- Interactive lecture and discussion focused on best practices for government analytics.
- Hands-on labs using WrenAI and sample datasets relevant to public sector needs.
- Workshop: build a self-service dashboard and conversational query set tailored for government use cases.
Course Customization Options
- To request a customized training for this course, designed specifically for government agencies, please contact us to arrange.
Deploying WrenAI for SaaS: Embedded GenBI in Customer-Facing Products
14 HoursWrenAI enables SaaS providers to integrate generative business intelligence (GenBI) directly into their customer-facing products. This course equips SaaS teams with the skills necessary to incorporate Wren AI through its Embedded API, configure white-label analytics, and manage multi-tenant deployments.
This instructor-led, live training (online or onsite) is designed for intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers who are looking to deploy WrenAI as an embedded analytics solution in SaaS environments for government.
By the end of this training, participants will be able to:
- Integrate WrenAI using the Embedded API for customer-facing applications.
- Implement white-label conversational BI with branding and customization.
- Design secure and scalable multi-tenant deployments.
- Monitor usage, optimize performance, and ensure compliance in SaaS environments.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs using WrenAI Embedded API.
- Workshop: design and deploy a white-label analytics feature for a SaaS use case.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Operational Analytics with WrenAI Spreadsheets and Metrics Library
14 HoursThe WrenAI Spreadsheets and Metrics Library enable rapid reporting through AI-enhanced spreadsheet workflows and a library of pre-built, cross-platform business metrics.
This instructor-led, live training (online or onsite) is designed for beginner to intermediate operations professionals who wish to accelerate their reporting and analysis using WrenAI Spreadsheets and the Metrics Library.
By the end of this training, participants will be able to:
- Create AI-powered spreadsheets for data analysis and reporting.
- Utilize the WrenAI Metrics Library for standardized key performance indicators (KPIs).
- Integrate spreadsheets with multiple data sources for real-time updates.
- Develop automated workflows to enhance operational reporting efficiency.
Format of the Course
- Interactive lecture and discussion sessions.
- Hands-on spreadsheet building exercises with WrenAI.
- Practical activities focused on metrics and KPI reporting.
Course Customization Options
- To request a customized training for government, please contact us to arrange.