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Course Outline
Introduction to Agentic AI and Bootcamp Overview
- Understanding agentic AI concepts and the bootcamp structure.
- Review of essential tools, frameworks, and dependencies.
- Best practices for project setup and collaborative workflows.
Project 1: Intelligent Assistant with Prompt-Oriented Reasoning
- Designing a task-based conversational agent.
- Utilizing structured prompts for reasoning and decision-making.
- Building and testing the solution in 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 through agentic loops.
- Developing a small automation assistant for real-world 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 with the help of Python and AI.
- Creating 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 multi-agent system.
Wrap-Up and Next Steps
- Project presentations and peer feedback sessions.
- Discussion of optimization and scaling strategies.
- Resources for continued learning and experimentation.
Requirements
- Intermediate proficiency in Python programming.
- Fundamental understanding of AI or machine learning principles.
- Familiarity with APIs and data processing workflows.
Target Audience
- Engineers and developers aiming to build applied AI projects.
- Technical teams looking to rapidly develop prototyping skills in agentic AI.
- Professionals involved in AI integration and pilot program development.
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
