Generative AI and Agentic AI Training Course
Generative Artificial Intelligence and Agentic Artificial Intelligence represent two distinct but complementary frameworks advancing automation and computational intelligence. The former specializes in the creation of novel content, while the latter enables autonomous, goal-oriented operations.
This live, instructor-led program—available via secure online platforms or at designated federal facilities—is designed for intermediate-level technical personnel and AI specialists seeking to master the development, assessment, and deployment of generative and agentic systems within operational environments for government agencies.
Upon completion of this curriculum, participants will demonstrate proficiency in:
- Analyzing the structural components and functional capabilities of generative AI architectures.
- Examining the evolution of autonomous AI agents and their integration with Large Language Models (LLMs).
- Applying prompt engineering strategies and tool integrations to facilitate practical system deployment.
- Evaluating models, software tools, and methodologies to ensure responsible and compliant implementation.
Instructional Methodology
- Engaging lectures coupled with structured technical discussions.
- Practical application of generative and agentic AI tools within simulated mission scenarios.
- Supervised exercises targeting content creation and the automation of complex workflows.
Program Customization Availability
- Agencies seeking tailored training solutions for this subject should contact our office to schedule a customized session for government entities.
Course Outline
Overview of Generative AI and Autonomous Systems
- Definitions of generative artificial intelligence and autonomous agents
- Distinctions and synergies between the two technologies
- Industry applications and emerging market trends
Generative AI Infrastructure and Utility Frameworks
- Core transformer architectures, including GPT, LLaMA, and Claude models
- Differentiating fine-tuning methodologies from in-context learning approaches
- Accessible platforms: ChatGPT, Hugging Face Transformers, and Google AI Studio for government
Prompt Engineering for Operational Control and Standardization
- Structured prompt patterns for document drafting, code generation, and information synthesis
- Techniques including few-shot, zero-shot, and chain-of-thought reasoning
- Utilization of established prompt libraries and validation tools
Frameworks for Autonomous Agents
- Conceptual definition and historical development of agentic AI systems
- System architecture components: planning mechanisms, memory storage, tool integration, and self-evaluation
- Leading open-source frameworks: AutoGPT, BabyAGI, CrewAI, and LangGraph
Architecture and Deployment of Autonomous Agents
- Strategic objective setting and hierarchical task decomposition
- Integration of external APIs for search capabilities, data retention, and computational functions
- Multi-agent interoperability and human-in-the-loop oversight protocols for government operations
Strategic Applications and Deployment Scenarios
- Comparative analysis of content generation versus task orchestration workflows
- Applications in enterprise efficiency, public sector customer service, and structured data extraction
- Principles for secure, ethical, and accountable implementation
Executive Summary and Forward Planning
Requirements
- Proficiency in artificial intelligence and machine learning principles
- Demonstrated expertise with application programming interfaces (APIs) or scripting languages, including Python
- Knowledge of prompt engineering techniques and large language model implementation for government applications
Target Audience
- Artificial intelligence developers and engineers
- Innovation and research and development (R&D) units
- Technical product managers evaluating agentic AI solutions
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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