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Course Outline
Introduction to Agentic AI and Bootcamp Overview
- Understanding agentic AI and the bootcamp structure
- Review of tools, frameworks, and dependencies
- Best practices for project setup and collaboration
Project 1: Intelligent Assistant with Prompt-Oriented Reasoning
- Designing a task-based conversational agent
- Using structured prompts for reasoning and decision-making
- Building and testing in Jupyter Notebook
Project 2: Document Analysis and Summarization Agent
- Extracting and summarizing data from PDFs and text files
- Using LangChain for document ingestion and retrieval
- Generating executive reports from structured and unstructured content
Project 3: Tool-Using Agent for Workflow Automation
- Integrating external APIs and automating repetitive tasks
- Managing multi-step processes through agentic loops
- Building a small automation assistant for real business workflows
Project 4: Data Analysis and Insight Generation Agent
- Connecting agents to data sources (CSV, SQL, or API)
- Performing exploratory data analysis with Python and AI assistance
- Creating visual insights and performance dashboards
Project 5: Multi-Agent Collaboration and Orchestration
- Coordinating multiple agents for task delegation
- Designing a controller–worker architecture
- Deploying and testing a prototype multi-agent system
Wrap-Up and Next Steps
- Project presentations and peer feedback
- Discussion of optimization and scaling strategies
- Resources for continued learning and experimentation
Requirements
- Intermediate proficiency in Python programming
- Basic understanding of AI or machine learning principles
- Familiarity with APIs and data processing workflows
Audience
- Engineers and developers looking to build applied AI projects
- Technical teams seeking rapid prototyping skills in agentic AI
- Practitioners involved in AI integration and pilot program development
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
