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Duration 21 hours
Course Outline
Fundamentals of Agentic AI and Bootcamp Introduction
- Concepts of agentic AI and an overview of the bootcamp structure
- Overview of necessary tools, frameworks, and dependencies
- Best practices for initializing projects and collaborative work
Project 1: Intelligent Assistant with Prompt-Based Reasoning
- Architecting a task-focused conversational agent
- Leveraging structured prompts to drive reasoning and decision processes
- Implementation and testing within Jupyter Notebook
Project 2: Document Analysis and Summarization Agent
- Extraction and summarization of data from PDF and text sources
- Utilizing LangChain for document ingestion and retrieval tasks
- Generating executive summaries from both structured and unstructured content
Project 3: Tool-Using Agent for Workflow Automation
- Integration of external APIs to automate repetitive operational tasks
- Managing multi-step procedures using agentic loops
- Developing a lightweight automation assistant for real-world business processes
Project 4: Data Analysis and Insight Generation Agent
- Linking agents to various data sources including CSV, SQL, and APIs
- Conducting exploratory data analysis with the aid of Python and AI
- Constructing visual insights and performance dashboards
Project 5: Multi-Agent Collaboration and Orchestration
- Coordinating multiple agents for effective task delegation
- Designing a controller–worker architecture
- Deployment and testing of a prototype multi-agent system
Conclusion and Future Directions
- Project presentations and collaborative feedback
- Exploration of optimization techniques and scaling strategies
- Recommended resources for ongoing learning and experimentation
Requirements
- Intermediate-level skill in Python programming
- Foundational understanding of AI or machine learning concepts
- Knowledge of API interactions and data processing pipelines
Target Audience
- Engineers and developers focused on creating practical AI solutions
- Technical teams aiming to accelerate their agentic AI prototyping capabilities
- Professionals involved in AI integration and pilot program execution
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
