Course Outline
Introduction to Agentic AI and Bootcamp Structure
- Overview of agentic AI and the bootcamp's organizational structure
- Review of relevant tools, frameworks, and dependencies
- Best practices for setting up projects and collaborating effectively
Project 1: Intelligent Assistant with Prompt-Oriented Reasoning
- Designing a conversational agent focused on specific tasks
- Utilizing structured prompts for reasoning and decision-making processes
- Development and testing within Jupyter Notebook
Project 2: Document Analysis and Summarization Agent
- Extracting and summarizing data from PDFs and text files
- Leveraging LangChain for document ingestion and retrieval
- Generating executive reports from both structured and unstructured content
Project 3: Tool-Using Agent for Workflow Automation
- Integrating external APIs to automate repetitive tasks
- Managing multi-step processes using agentic loops
- Creating a lightweight automation assistant for real business workflows
Project 4: Data Analysis and Insight Generation Agent
- Connecting agents to data sources (CSV, SQL, or APIs)
- Conducting exploratory data analysis with assistance from Python and AI
- Generating visual insights and performance dashboards
Project 5: Multi-Agent Collaboration and Orchestration
- Coordinating multiple agents for effective task delegation
- Architecting a controller–worker system design
- Deploying and testing a prototype multi-agent system
Conclusion and Future Directions
- Project presentations and feedback exchange among peers
- Discussion on strategies for optimization and scaling
- Resources for ongoing learning and experimentation
Requirements
- Intermediate skill level in Python programming
- Fundamental grasp of AI or machine learning principles
- Experience with APIs and data processing workflows
Target Audience
- Engineers and developers aspiring to build applied AI projects
- Technical teams seeking to acquire rapid prototyping skills in agentic AI
- Practitioners engaged 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.
