Course Outline

Introduction to Agentic AI and Bootcamp Overview

  • Understanding agentic AI and the bootcamp structure designed specifically for government professionals.
  • Review of essential tools, frameworks, and dependencies relevant for government applications.
  • Best practices for project setup and collaboration within public sector environments.

Project 1: Intelligent Assistant with Prompt-Oriented Reasoning

  • Designing a task-based conversational agent to enhance government operations.
  • Utilizing structured prompts for reasoning and decision-making in public sector workflows.
  • Building and testing the assistant using Jupyter Notebook, tailored for government use cases.

Project 2: Document Analysis and Summarization Agent

  • Extracting and summarizing data from PDFs and text files to support informed decision-making for government.
  • Employing LangChain for efficient document ingestion and retrieval in government settings.
  • Generating executive reports from structured and unstructured content, enhancing transparency and accountability.

Project 3: Tool-Using Agent for Workflow Automation

  • Integrating external APIs to automate repetitive tasks in government processes.
  • Managing multi-step processes through agentic loops, optimizing efficiency for government operations.
  • Building a small automation assistant to streamline real-world business workflows within the public sector.

Project 4: Data Analysis and Insight Generation Agent

  • Connecting agents to data sources such as CSV, SQL, or APIs for government-specific datasets.
  • Conducting exploratory data analysis with Python and AI assistance to inform policy decisions for government.
  • Creating visual insights and performance dashboards to enhance data-driven governance.

Project 5: Multi-Agent Collaboration and Orchestration

  • Coordinating multiple agents for task delegation in complex government projects.
  • Designing a controller–worker architecture to support scalable government operations.
  • Deploying and testing a prototype multi-agent system tailored for government applications.

Wrap-Up and Next Steps

  • Project presentations and peer feedback, fostering a collaborative environment for government professionals.
  • Discussion of optimization and scaling strategies to enhance the impact of agentic AI in government settings.
  • Resources for continued learning and experimentation, ensuring ongoing development and innovation for government.

Requirements

  • Intermediate proficiency in Python programming for government applications
  • Basic understanding of artificial intelligence or machine learning principles for government use cases
  • Familiarity with APIs and data processing workflows for government systems

Audience

  • Engineers and developers looking to build applied AI projects for government agencies
  • Technical teams seeking rapid prototyping skills in agentic AI for government initiatives
  • Practitioners involved in AI integration and pilot program development for government operations
 21 Hours

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