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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
Testimonials (3)
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Autonomous Decision-Making with Agentic AI
practical exercises