Course Outline
Foundational Concepts of Agentic AI and Bootcamp Structure
- Foundational principles of agentic AI and curriculum organization
- Review of requisite tools, frameworks, and technical dependencies
- Protocols for project initialization and collaborative governance
Project 1: Task-Oriented Assistant with Prompt-Driven Reasoning
- Architecting a conversational agent focused on specific operational tasks
- Leveraging structured prompts to enhance reasoning and decision logic
- Development and validation within the Jupyter Notebook environment
Project 2: Document Processing and Synthesis Agent
- Extraction and condensation of data from PDF and text formats
- Utilization of LangChain for document ingestion and retrieval operations
- Generation of executive summaries from both structured and unstructured records
Project 3: Autonomous Agent for Workflow Automation
- Integration of external APIs to streamline repetitive operational processes
- Oversight of multi-stage processes via agentic control loops
- Construction of an automation assistant aligned with real-world government business workflows
Project 4: Data Analysis and Insight Generation Agent
- Connecting agents to data repositories (CSV, SQL, or API sources)
- Execution of exploratory data analysis leveraging Python and AI support
- Creation of visual analytics and performance monitoring dashboards
Project 5: Multi-Agent Coordination and Orchestration
- Coordination of multiple agents for effective task distribution
- Design of a controller–worker architectural framework
- Deployment and validation of a prototype multi-agent system for government operations
Conclusion and Strategic Next Steps
- Project demonstrations and peer-based performance feedback
- Discussion on system optimization and scalability strategies
- Access to resources for sustained learning and continuous experimentation
Requirements
- Intermediate proficiency in Python programming
- Basic understanding of AI or machine learning principles
- Familiarity with API structures and data processing workflows
Audience
- Engineers and developers seeking to implement applied AI projects for government
- Technical teams seeking rapid prototyping capabilities in agentic AI
- Practitioners involved in AI integration and pilot program development
Testimonials (1)
First most valuable: Practical data analysis tasks using AI without copy-pasting - but through my own application of what I learned. Second most valuable: definition of terms that everyone uses (skills, agents, MCP, API). Now that I understand them, I feel much more confident in trying AI Third: your input on how AI works, what it can do, what it can't (I will remember your 80/20 rule forever). Fourth: Having everything you taught us in written and accessible form.
