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Course Outline
Introduction to Agentic AI and Bootcamp Overview
- Exploring agentic AI concepts and the bootcamp’s structure
- Reviewing essential tools, frameworks, and dependencies
- Establishing best practices for project setup and collaboration
Project 1: Intelligent Assistant with Prompt-Oriented Reasoning
- Architecting a task-focused conversational agent
- Leveraging structured prompts for reasoning and decision-making
- Development and testing within Jupyter Notebook
Project 2: Document Analysis and Summarization Agent
- Extracting and summarizing information from PDFs and text documents
- Utilizing LangChain for document ingestion and retrieval
- Producing executive reports from both structured and unstructured data
Project 3: Tool-Using Agent for Workflow Automation
- Integrating external APIs to automate repetitive tasks
- Managing multi-step processes via agentic loops
- Constructing a specialized automation assistant for specific business workflows
Project 4: Data Analysis and Insight Generation Agent
- Linking agents to data sources such as CSV, SQL, or APIs
- Conducting exploratory data analysis with Python and AI support
- Generating visual insights and performance dashboards
Project 5: Multi-Agent Collaboration and Orchestration
- Coordinating multiple agents for task delegation
- Structuring a controller–worker architecture
- Deploying and validating a prototype multi-agent system
Wrap-Up and Next Steps
- Project presentations and peer reviews
- Examining optimization and scaling strategies
- Accessing resources for ongoing learning and experimentation
Requirements
- Intermediate-level proficiency in Python programming
- Fundamental understanding of AI or machine learning concepts
- Exposure to APIs and data processing workflows
Target Audience
- Engineers and developers aiming to create applied AI solutions
- Technical teams looking to accelerate prototyping 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
