Generative AI and Agentic AI Training Course
Generative AI and Agentic AI are two powerful paradigms driving the next wave of automation and intelligence in the public sector — one focused on content generation and the other on goal-driven, autonomous behavior.
This instructor-led, live training (online or onsite) is aimed at intermediate-level AI and technical professionals who wish to understand how to build, evaluate, and integrate generative and agentic AI into real-world applications for government.
By the end of this training, participants will be able to:
- Understand the architecture and capabilities of generative AI systems for government use.
- Explore the rise of autonomous AI agents and how they extend large language models (LLMs) in public sector applications.
- Use prompt engineering and tool integrations to support practical deployments within governmental workflows.
- Compare models, tools, and techniques for responsible deployment in government environments.
Format of the Course
- Interactive lecture and discussion to enhance understanding of AI applications for government.
- Hands-on use of generative and agentic AI tools in real-world government scenarios.
- Guided exercises focused on content generation and autonomous workflows tailored for public sector needs.
Course Customization Options
- To request a customized training for this course, specifically designed to meet the unique requirements of your government agency, please contact Govtra to arrange.
Course Outline
Introduction to Generative AI and Agentic AI for Government
- Definitions: What is Generative AI? What is Agentic AI?
- Distinguishing characteristics and complementary roles of generative and agentic AI
- Application examples and emerging trends across various sectors, including public service
Generative AI Architecture and Tools for Government
- Transformer models: GPT, LLaMA, Claude, and others
- Differentiating between fine-tuning and in-context learning
- Utilizing tools such as ChatGPT, Hugging Face Transformers, and Google AI Studio for government applications
Prompt Engineering for Control and Structure in Government
- Effective prompt patterns for writing, coding, summarization, and more
- Techniques including few-shot, zero-shot, and chain-of-thought prompting
- Leveraging prompt libraries and testing tools to enhance government workflows
Understanding Agentic AI for Government
- Definition and evolution of agentic AI in the context of public sector applications
- Architectural components: planning, memory, tools, and self-reflection
- Popular frameworks: AutoGPT, BabyAGI, CrewAI, LangGraph for government use
Designing and Deploying Autonomous Agents for Government
- Setting goals and decomposing tasks for effective agent deployment
- Integrating tools and APIs (search, memory, code) into government systems
- Coordinating multi-agent operations and ensuring human-in-the-loop oversight for accountability
Use Cases and Implementation Scenarios for Government
- Comparing content generation with task orchestration in government settings
- Enhancing enterprise productivity, customer support, and data extraction within public sector organizations
- Ensuring responsible and secure implementation of AI technologies for government operations
Summary and Next Steps for Government
Requirements
- A comprehensive understanding of artificial intelligence and machine learning principles
- Practical experience working with application programming interfaces (APIs) or scripting languages such as Python
- Knowledge of prompt engineering or the utilization of large language models
Audience
- AI developers and engineers for government
- Innovation and research teams
- Technical product managers investigating agentic AI systems
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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