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Duration 21 hours
Course Outline
Introduction to Agentic AI and Bootcamp Structure
- Exploring agentic AI concepts and the course framework
- Overview of tools, frameworks, and necessary dependencies
- Best practices for setting up projects and collaborative work
Project 1: Intelligent Assistant with Prompt-Based Reasoning
- Designing a conversational agent focused on specific tasks
- Leveraging structured prompts for reasoning and decision-making
- Development and testing 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 via agentic loops
- Creating a compact automation assistant for actual business workflows
Project 4: Data Analysis and Insight Generation Agent
- Connecting agents to diverse data sources such as CSV, SQL, or APIs
- Conducting exploratory data analysis with Python and AI assistance
- Developing visual insights and performance dashboards
Project 5: Multi-Agent Collaboration and Orchestration
- Coordinating multiple agents for effective task delegation
- Architecting a controller–worker system design
- Deploying and testing a prototype multi-agent system
Conclusion and Future Steps
- Presentation of projects and exchange of peer feedback
- Exploring 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
- Knowledge of APIs and data processing workflows
Target Audience
- Engineers and developers focused on building applied AI projects
- Technical teams aiming to acquire rapid prototyping skills in agentic AI
- Professionals involved in AI integration and pilot program development
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
