AI Agent Developer

Overzicht

In this Specialization, you’ll gain hands-on experience developing AI agents using Python, OpenAI tools, and prompt engineering techniques. You’ll learn to design agent architectures, implement tool use and memory, build custom GPTs, and apply best practices for responsible, trustworthy AI.

By the end, you’ll be able to create and deploy intelligent software agents for real-world tasks across a range of industries.

Lesprogramma

• Introduction to AI Agents
Overview of AI agents and their applications
Introduction to Python and its role in AI development
Setting up the development environment
• Designing AI Agent Architectures
Understanding agent architecture components
Exploration of different architecture paradigms
Designing user-centric agent interactions
• Building with OpenAI Tools
Overview of OpenAI APIs and their capabilities
Integrating APIs into Python applications
Building simple AI agents using OpenAI tools
• Advanced Prompt Engineering
Techniques for crafting effective prompts
Using prompt engineering to guide agent behavior
Experimentation with complex prompting scenarios
• Tool Use and Memory in AI Agents
Implementing tool usage within agents
Integrating memory functions into AI agents
Strategies for maintaining context and continuity
• Developing Custom GPT Models
Understanding GPT architecture and customization
Training custom models with domain-specific data
Deploying custom GPTs for specialized applications
• Best Practices for Responsible AI
Addressing bias and fairness in AI systems
Ensuring transparency and explainability
Strategies for secure and ethical AI development
• Deploying AI Agents
Preparing AI agents for deployment
Testing and debugging AI agents in real-world scenarios
Utilizing cloud services for scaling AI applications
• Industry Applications and Case Studies
Exploration of AI agents in various industries
Analyzing successful deployment case studies
Identifying potential future applications
• Capstone Project
Designing and developing a fully functional AI agent
Presentation and peer review of projects
Feedback and iterations for project improvement

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Gegeven door

Dr. Jules White

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Vakgebieden

Computer Science