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Course Outline
Foundations of Agentic AI and Bootcamp Introduction
- Exploring agentic AI concepts and the course structure
- Overview of essential tools, frameworks, and dependencies
- Guidelines for effective project setup and team collaboration
Project 1: Building an Intelligent Assistant with Prompt-Driven Reasoning
- Architecting a task-focused conversational agent
- Leveraging structured prompts to enhance reasoning and decision-making
- Development and testing within Jupyter Notebook
Project 2: Creating a 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: Developing a Tool-Integrated Agent for Workflow Automation
- Connecting external APIs to automate routine tasks
- Orchestrating multi-step processes via agentic loops
- Constructing a specialized automation assistant for specific business workflows
Project 4: Implementing a Data Analysis and Insight Generation Agent
- Linking agents to diverse data sources such as CSV, SQL, or APIs
- Conducting exploratory data analysis with the support of Python and AI
- Generating visual insights and performance dashboards
Project 5: Managing Multi-Agent Collaboration and Orchestration
- Coordinating multiple agents for efficient task delegation
- Structuring a controller–worker architecture
- Deploying and validating a prototype multi-agent system
Conclusion and Future Directions
- Project presentations and peer reviews
- Exploring strategies for optimization and system scaling
- Accessing resources for ongoing learning and experimentation
Requirements
- Intermediate level command of Python programming
- Foundational 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 looking to acquire rapid prototyping skills in agentic AI
- Professionals engaged 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
