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 Bootcamp Structure
- Overview of agentic AI concepts and the bootcamp framework
- Review of essential tools, frameworks, and dependencies
- Best practices for project initialization and team collaboration
Project 1: Intelligent Assistant with Prompt-Driven Reasoning
- Architecting a task-focused conversational agent
- Leveraging structured prompts for logical reasoning and decision-making
- Development and testing within a Jupyter Notebook environment
Project 2: Document Analysis and Summarization Agent
- Extracting key data and generating summaries from PDFs and text files
- Utilizing LangChain for efficient document ingestion and retrieval
- Producing executive reports from both structured and unstructured content
Project 3: Tool-Using Agent for Workflow Automation
- Connecting external APIs and automating repetitive operational tasks
- Orchestrating multi-step processes via agentic loops
- Creating a compact automation assistant tailored for real business workflows
Project 4: Data Analysis and Insight Generation Agent
- Linking agents to various data sources, including CSV, SQL, or APIs
- Conducting exploratory data analysis with the aid of Python and AI
- Generating visual insights and performance dashboards
Project 5: Multi-Agent Collaboration and Orchestration
- Coordinating multiple agents for effective task delegation
- Implementing a controller–worker architecture
- Deploying and validating a prototype multi-agent system
Conclusion and Future Directions
- Project presentations and constructive peer feedback
- Exploration of optimization techniques and scaling strategies
- Access to resources for continuous 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 aiming to create applied AI solutions
- Technical teams seeking to accelerate prototyping in agentic AI
- Practitioners engaged 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
