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Starts 8 June 2025 11:53
Ends 8 June 2025
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29 minutes
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Overview
Explore the design and implementation of AI agent workflows with Python, from basic automation to building a virtual assistant using OpenAI's Agents SDK, with practical examples and code.
Syllabus
- Introduction to AI Workflows
- Basics of Automation with Python
- Understanding Large Language Models (LLMs)
- Connecting Python with LLMs
- Intermediate Automation Techniques
- Designing AI Agent Workflows
- Building a Virtual Assistant with OpenAI's Agents SDK
- Enhancing the Virtual Assistant
- Advanced Topics in AI Agents
- Deploying and Scaling AI Agents
- Conclusion and Future Directions
- Resources and Further Learning
Overview of AI agents
Introduction to Python for AI workflows
Setting up the development environment
Python scripting essentials
Automating tasks with Python
Introduction to web scraping for data collection
What are LLMs?
Use cases of LLMs in automation
Ethical considerations and best practices
Using OpenAI's API with Python
Building basic language tasks with LLMs (text generation, summarization)
Leveraging APIs for automation
Working with JSON and data serialization
Scheduling and managing Python scripts
Flowcharting AI agent tasks
Integrating decision-making into workflows
Handling exceptions and errors in AI workflows
Overview of the OpenAI Agents SDK
Setting up and configuring the SDK
Creating a simple virtual assistant
Implementing natural language understanding
Adding conversational memory
Integrating external data sources and APIs
Multi-turn conversations and dialogue management
Contextual understanding and user intent modeling
Personalization and learning user preferences
Cloud deployment options for Python applications
Monitoring and logging AI workflows
Best practices for scaling AI agents
Emerging trends in AI agent workflows
Future opportunities with AI and automation
Final project: Build your own AI agent workflow
Recommended books and articles
Online communities and forums
Tools and frameworks for advanced exploration
Subjects
Computer Science