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Duration 21 hours
Course Outline
Introduction to Agentic AI and Bootcamp Structure
- Overview of agentic AI concepts and the course framework
- Review of essential tools, frameworks, and dependencies
- Best practices for project setup and team collaboration
Project 1: Intelligent Assistant with Prompt-Driven Reasoning
- Designing a task-oriented conversational agent
- Leveraging structured prompts for reasoning and decision-making
- Development and testing within Jupyter Notebooks
Project 2: Document Analysis and Summarization Agent
- Extracting and summarizing information from PDFs and text documents
- Utilizing LangChain for document ingestion and retrieval tasks
- Generating executive reports from both structured and unstructured data
Project 3: Tool-Using Agent for Workflow Automation
- Connecting external APIs to automate repetitive tasks
- Managing multi-step processes via agentic loops
- Creating a compact automation assistant for business workflows
Project 4: Data Analysis and Insight Generation Agent
- Linking agents to data sources such as CSV files, SQL databases, or APIs
- Conducting exploratory data analysis with Python and AI support
- Developing visual insights and performance dashboards
Project 5: Multi-Agent Collaboration and Orchestration
- Coordinating multiple agents for effective task delegation
- Designing a controller–worker architecture
- Deploying and testing a prototype multi-agent system
Conclusion and Future Steps
- Project presentations and peer reviews
- Exploration of optimization and scaling strategies
- Resources for ongoing learning and experimentation
Requirements
- Intermediate-level proficiency in Python programming
- Fundamental understanding of AI or machine learning concepts
- Experience with APIs and data processing pipelines
Target Audience
- Engineers and developers seeking to create applied AI solutions
- Technical teams looking to accelerate prototyping in agentic AI
- Professionals engaged in AI integration and pilot program initiatives
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
