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Course Outline
Introduction to Agentic AI and Bootcamp Structure
- Exploring the fundamentals of agentic AI and the course organization
- Overview of necessary tools, frameworks, and dependencies
- Recommended practices for setting up projects and collaborating effectively
Project 1: Intelligent Assistant Focused on Prompt-Based Reasoning
- Designing a conversational agent for specific tasks
- Leveraging structured prompts to drive reasoning and decision-making
- Implementation and testing within Jupyter Notebook
Project 2: Agent for Document Analysis and Summarization
- Extracting and condensing information from PDFs and text documents
- Utilizing LangChain for document ingestion and retrieval processes
- Producing executive reports from both structured and unstructured data
Project 3: Agent for Workflow Automation Using Tools
- Integrating external APIs to automate routine tasks
- Handling multi-step processes via agentic loops
- Developing a compact automation assistant for actual business operations
Project 4: Agent for Data Analysis and Insight Generation
- Linking agents to various data sources such as CSV, SQL, or APIs
- Conducting exploratory data analysis using Python with AI support
- Generating visual insights and performance dashboards
Project 5: Multi-Agent Collaboration and Orchestration
- Coordinating several agents to delegate tasks effectively
- Designing a controller–worker system architecture
- Deploying and evaluating a prototype multi-agent system
Conclusion and Future Directions
- Project presentations and exchange of peer feedback
- Exploring strategies for optimization and scaling
- Resources for ongoing learning and further experimentation
Requirements
- Intermediate-level proficiency in Python programming
- Fundamental understanding of AI or machine learning concepts
- Knowledge of APIs and data processing workflows
Target Audience
- Engineers and developers aiming to create applied AI solutions
- Technical teams seeking to enhance their rapid prototyping capabilities 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
