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Course Outline
Foundations of Agentic AI and Workshop Introduction
- Exploring agentic AI concepts and the structure of the workshop
- Overview of essential tools, frameworks, and dependencies
- Best practices for project initialization and collaborative development
Project 1: Intelligent Assistant Focused on Prompt Reasoning
- Architecting a task-driven conversational agent
- Leveraging structured prompts to drive reasoning and decision-making
- Construction and validation within Jupyter Notebook
Project 2: Agent for Document Analysis and Summarization
- Pulling and condensing data from PDFs and text documents
- Utilizing LangChain for document ingestion and retrieval processes
- Synthesizing executive reports from both structured and unstructured content
Project 3: Tool-Integrated Agent for Workflow Automation
- Connecting external APIs to automate repetitive operational tasks
- Oversight of multi-step processes via agentic loops
- Creating a compact automation assistant for specific business workflows
Project 4: Agent for Data Analysis and Insight Generation
- Linking agents to data sources such as CSV files, SQL databases, or APIs
- Conducting exploratory data analysis using Python with AI support
- Developing visual insights and performance dashboards
Project 5: Multi-Agent Collaboration and Orchestration
- Orchestrating multiple agents for effective task delegation
- Structuring a controller–worker architecture
- Deployment and testing of a prototype multi-agent system
Conclusion and Future Directions
- Project showcases and peer review feedback
- Exploring optimization and scaling methodologies
- Access to resources for ongoing learning and experimentation
Requirements
- Intermediate level proficiency in Python programming
- Foundational knowledge of AI or machine learning concepts
- Experience with APIs and data processing pipelines
Target Audience
- Engineers and developers aiming to implement applied AI solutions
- Technical teams looking to accelerate prototyping in the agentic AI space
- Professionals involved in AI integration and pilot program initiatives
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
