Generative AI and Agentic AI Training Course
Generative AI and Agentic AI are two influential paradigms driving the next wave of automation and intelligence in various sectors, including content generation and goal-driven autonomous behavior.
This instructor-led, live training (available online or onsite) is designed for intermediate-level AI and technical professionals who wish to understand how to build, evaluate, and integrate generative and agentic AI into real-world applications, particularly for government use.
By the end of this training, participants will be able to:
- Understand the architecture and capabilities of generative AI systems.
- Explore the rise of autonomous AI agents and their extension of language models.
- Utilize prompt engineering and tool integrations for practical deployments.
- Compare models, tools, and techniques for responsible deployment.
**Format of the Course**
- Interactive lecture and discussion.
- Hands-on use of generative and agentic AI tools in real-world scenarios.
- Guided exercises focused on content generation and autonomous workflows.
**Course Customization Options**
- To request a customized training for this course, particularly tailored for government applications, please contact us to arrange.This course is available as onsite live training in US Government or online live training.
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Course Outline
Introduction to Generative AI and Agentic AI for Government
- Overview of Generative AI and Agentic AI
- Key differences and complementary aspects of these technologies
- Application scenarios and emerging trends across various sectors, including public service
Generative AI Architecture and Tools for Government Use
- Advanced transformer models: GPT, LLaMA, Claude, and others
- Techniques in fine-tuning versus 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 Operations
- Effective prompt patterns for writing, coding, summarization, and more
- Strategies for few-shot, zero-shot, and chain-of-thought prompting
- Leveraging prompt libraries and testing tools to enhance government processes
Understanding Agentic AI for Government Applications
- Definition and development of agentic AI
- Architectural components: planning, memory, tool integration, self-reflection
- Prominent frameworks: AutoGPT, BabyAGI, CrewAI, LangGraph
Designing and Deploying Autonomous Agents for Government Services
- Methods for setting goals and decomposing tasks
- Integrating tools and APIs (search, memory, code) to support government operations
- Strategies for multi-agent coordination and human-in-the-loop supervision in public sector applications
Use Cases and Implementation Scenarios for Government
- Differentiating content generation from task orchestration
- Enhancing enterprise productivity, customer support, and data extraction in government agencies
- Ensuring responsible and secure implementation of AI technologies for government use
Summary and Next Steps for Government Implementation
Requirements
- A comprehensive understanding of artificial intelligence and machine learning concepts for government applications
- Practical experience working with application programming interfaces (APIs) or scripting languages such as Python
- Familiarity with prompt engineering or the utilization of large language models
Audience
- AI developers and engineers for government projects
- Innovation and R&D teams within government agencies
- Technical product managers exploring agentic AI systems for government use
14 Hours
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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