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Course Outline
Introduction to Agentic AI and Bootcamp Overview
- Exploring agentic AI concepts and the structure of the bootcamp
- Overview of essential tools, frameworks, and dependencies
- Recommended practices for setting up projects and collaborating effectively
Project 1: Intelligent Assistant with Prompt-Oriented Reasoning
- Architecting a conversational agent focused on specific tasks
- Leveraging structured prompts for logical reasoning and decision-making
- Constructing and validating the agent within Jupyter Notebook
Project 2: Document Analysis and Summarization Agent
- Extracting and condensing information from PDFs and text documents
- Utilizing LangChain for document ingestion and retrieval processes
- Synthesizing executive reports from both structured and unstructured data
Project 3: Tool-Using Agent for Workflow Automation
- Connecting external APIs to automate routine operational tasks
- Orchestrating multi-step processes via agentic feedback loops
- Developing a compact automation assistant for genuine business workflows
Project 4: Data Analysis and Insight Generation Agent
- Linking agents to various data sources (CSV, SQL, or API)
- Conducting exploratory data analysis with the support of Python and AI
- Generating visual insights and performance dashboards
Project 5: Multi-Agent Collaboration and Orchestration
- Coordinating multiple agents for effective task delegation
- Implementing a controller–worker architectural model
- Deploying and evaluating a prototype multi-agent system
Conclusion and Future Directions
- Presentation of projects and receipt of peer feedback
- Exploration of optimization techniques and scaling strategies
- Access to resources for ongoing learning and experimentation
Requirements
- Intermediate level proficiency in Python programming
- Fundamental knowledge of AI or machine learning concepts
- Experience with API interactions and data processing workflows
Target Audience
- Engineers and developers aiming to create applied AI solutions
- Technical teams seeking to accelerate prototyping skills in agentic AI
- Professionals engaged in AI integration and pilot program initiatives
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
