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Course Outline
Fundamentals of Agentic AI and Bootcamp Introduction
- Exploring agentic AI concepts and the course structure
- Overview of required tools, frameworks, and dependencies
- Effective strategies for environment setup and collaborative workflows
Assignment 1: Intelligent Assistant with Prompt-Driven Reasoning
- Architecting a task-focused conversational agent
- Leveraging structured prompts to facilitate reasoning and decision processes
- Implementation and verification within a Jupyter Notebook environment
Assignment 2: Document Analysis and Summarization Agent
- Extracting key information and summarizing content from PDFs and text documents
- Utilizing LangChain for document processing and retrieval tasks
- Producing executive summaries from both structured and unstructured data sources
Assignment 3: Tool-Integrated Agent for Process Automation
- Incorporating external APIs to streamline repetitive operational tasks
- Orchestrating multi-step procedures via agentic feedback loops
- Constructing a focused automation assistant for specific business processes
Assignment 4: Data Analysis and Insight Generation Agent
- Linking agents to diverse data sources such as CSV, SQL, or APIs
- Conducting exploratory data analysis using Python with AI support
- Developing visual insights and performance monitoring dashboards
Assignment 5: Multi-Agent Coordination and Orchestration
- Managing multiple agents for distributed task execution
- Structuring a controller–worker model architecture
- Launching and evaluating a prototype multi-agent system
Conclusion and Future Directions
- Sharing project outcomes and receiving peer evaluations
- Exploring strategies for system optimization and scalability
- Accessing resources for ongoing learning and experimentation
Requirements
- Intermediate-level competency in Python programming
- Foundational knowledge of AI or machine learning concepts
- Experience with API interactions and data processing pipelines
Target Audience
- Software engineers and developers aiming to create practical AI solutions
- Technical groups looking to enhance their rapid prototyping capabilities in agentic AI
- Professionals engaged in AI integration and pilot initiative 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
