Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Agentic AI and Course Structure
- Exploring agentic AI concepts and the intensive’s framework
- Overview of necessary tools, frameworks, and dependencies
- Best practices for project configuration and collaborative work
Project 1: Intelligent Assistant Utilizing Prompt-Based Reasoning
- Designing a task-oriented conversational agent
- Leveraging structured prompts to drive reasoning and decisions
- Construction and testing within a Jupyter Notebook environment
Project 2: Document Analysis and Summarization Agent
- Extracting and summarizing information from PDFs and text documents
- Utilizing LangChain for document ingestion and retrieval processes
- Producing executive summaries from both structured and unstructured data
Project 3: Tool-Integrating Agent for Workflow Automation
- Connecting external APIs to automate routine tasks
- Orchestrating multi-step processes using agentic loops
- Creating a lightweight automation assistant for practical business workflows
Project 4: Data Analysis and Insight Generation Agent
- Linking agents to diverse data sources such as CSV files, SQL databases, or APIs
- Conducting exploratory data analysis with assistance from Python and AI
- Generating 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 validating a prototype multi-agent system
Conclusion and Future Directions
- Project presentations and peer review sessions
- Review of strategies for optimization and system scaling
- Access to resources for ongoing learning and experimentation
Requirements
- Intermediate proficiency in Python programming
- Foundational understanding of AI or machine learning concepts
- Experience with APIs and data processing workflows
Target Audience
- Engineers and developers aiming to create applied AI solutions
- Technical teams requiring rapid prototyping capabilities in agentic AI
- 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
