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Course Outline
Introduction to Agentic AI and Bootcamp Overview
- Exploring the concept of agentic AI and the structure of the bootcamp
- Reviewing essential tools, frameworks, and dependencies
- Establishing best practices for project setup and collaborative workflows
Project 1: Intelligent Assistant with Prompt-Oriented Reasoning
- Designing a conversational agent focused on specific tasks
- Leveraging structured prompts to drive reasoning and decision-making
- Building and testing the agent within a Jupyter Notebook environment
Project 2: Document Analysis and Summarization Agent
- Extracting and summarizing data from PDFs and text documents
- Utilizing LangChain for document ingestion and retrieval processes
- 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 through agentic loops
- Developing a compact automation assistant for practical business workflows
Project 4: Data Analysis and Insight Generation Agent
- Connecting agents to various data sources such as CSV, SQL, or APIs
- Conducting exploratory data analysis using Python with AI assistance
- Generating visual insights and performance dashboards
Project 5: Multi-Agent Collaboration and Orchestration
- Coordinating multiple agents for effective task delegation
- Designing a controller–worker architecture
- Deploying and testing a prototype of a multi-agent system
Wrap-Up and Next Steps
- Presenting projects and receiving peer feedback
- Discussing strategies for optimization and scaling
- Accessing resources for ongoing learning and experimentation
Requirements
- Intermediate level proficiency in Python programming
- Fundamental understanding of AI or machine learning concepts
- Working knowledge of APIs and data processing workflows
Target Audience
- Engineers and developers aiming to construct applied AI projects
- Technical teams seeking to accelerate prototyping skills in agentic AI
- Professionals engaged in AI integration and the development of pilot programs
21 Hours
Testimonials (3)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
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
