In this Specialization, you鈥檒l gain hands-on experience developing AI agents using Python, OpenAI tools, and prompt engineering techniques. You鈥檒l 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鈥檒l be able to create and deploy intelligent software agents for real-world tasks across a range of industries.
AI Agent Developer Specialization
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AI Agent Developer Specialization
Master Skills of an AI Agent Software Developer. Learn to design, build, and refine intelligent software agents using Python, generative AI, and agentic architectures for real-world applications.
Instructor: Dr. Jules White
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Beginner level
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2 months at 10 hours a week
Flexible schedule
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Get in-depth knowledge of a subject
4.8
(427 reviews)
Beginner level
Recommended experience
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
鈥⒙燞ow to build and deploy intelligent AI agents using Python, tools, memory, and reasoning.
鈥⒙燞ow to create custom GPTs and apply prompt engineering techniques for real-world tasks.
鈥⒙燞ow to design trustworthy, responsible AI systems aligned with best practices.
Overview
Skills you'll gain
Tools you'll learn
What鈥檚 included
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Taught in English
Recently updated!
April 2025
25 practice exercises
Specialization - 6 course series
What you'll learn
Build a complete AI agent framework in Python, creating each component yourself to gain deep understanding of how agents work
Design tool discovery systems and function calling mechanisms that allow your agents to interact with external systems and perform meaningful actions
Create practical, production-ready agents for tasks like intelligent file exploration, documentation generation, and coding
Skills you'll gain
Category: Agentic systems
Category: Prototyping
Category: Tool Calling
Category: File Management
Category: OpenAI
Category: LLM Application
Category: Prompt Engineering
Category: Application Development
Category: Generative AI Agents
Category: Software Documentation
What you'll learn
How to implement agents that can dynamically adopt different expert personas and reason with or transform unstructured data
Techniques for building聽Multi-Agent Collaboration Systems聽in Python that support sophisticated memory sharing and intelligent coordination
How to implement聽Trustworthy and Safe Agent Architectures聽in Python using staged execution, reversible actions, and safety patterns
Skills you'll gain
Category: Agentic systems
Category: Persona Development
Category: Prompt Engineering
Category: Tool Calling
Category: Data Sharing
Category: LLM Application
Category: Application Programming Interface (API)
Category: Business Logic
Category: Large Language Modeling
Category: Prompt Patterns
Category: Persona (User Experience)
Category: Document Management
Category: Plan Execution
Category: Coordination
Category: Transaction Processing
Category: Generative AI Agents
Category: Coordinating
What you'll learn
Skills you'll gain
Category: AI Personalization
Category: Test Case
Category: Expense Reports
Category: Productivity Software
Category: OpenAI
Category: Expense Management
Category: LLM Application
Category: Responsible AI
Category: Verification And Validation
Category: Scenario Testing
Category: Artificial Intelligence
Category: Generative AI
Category: ChatGPT
Category: Travel Arrangements
Category: Prompt Engineering
Category: Personalized Service
What you'll learn
How to apply prompt engineering to effectively work with large language models, like ChatGPT
How to use prompt patterns to tap into powerful capabilities within large language models
How to create complex prompt-based applications for your life, business, or education
Skills you'll gain
Category: Prompt Engineering
Category: Prompt Patterns
Category: OpenAI
Category: Productivity
Category: Creative Thinking
Category: Creative Problem-Solving
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: ChatGPT
Category: Problem Solving
Category: LLM Application
Category: Generative AI
Category: Large Language Modeling
Category: Artificial Intelligence
What you'll learn
Automate tasks in your work and life with ChatGPT Code Interpreter
Automate reading and creating PDFs, PowerPoint, Excel, images, video, and more
Skills you'll gain
Category: ChatGPT
Category: Problem Solving
Category: Data Analysis
Category: File Management
Category: Data Presentation
Category: Artificial Intelligence
Category: Data Processing
Category: Creativity
Category: Prompt Engineering
Category: Information Management
Category: Document Management
Category: Automation
What you'll learn
What problems actually make sense to solve with Generative AI
How to frame problems and prompt engineer to produce more trustworthy results from Generative AI
Skills you'll gain
Category: Generative AI
Category: Human Machine Interfaces
Category: Prompt Engineering
Category: Ideation
Category: Risk Management Framework
Category: Verification And Validation
Category: ChatGPT
Category: Artificial Intelligence
Category: Responsible AI
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Frequently asked questions
This Specialization is designed for learners with basic Python programming experience. No prior knowledge of AI or machine learning is required.
We recommend taking the AI Agents & Agentic AI with Python course first, followed by Prompt Engineering for ChatGPT. The remaining courses can be taken in any order.
What You Will Be Able to Do Upon Completing the Specialization:
鈥⒙燚esign and implement AI agents using modular, agentic architectures
鈥⒙燘uild and deploy agents that use tools, memory, and reasoning
鈥⒙燙reate and customize GPT-based assistants with OpenAI tools
鈥⒙燛ngineer effective prompts to steer AI behavior and outputs
鈥⒙燗pply principles of trustworthy, responsible AI in real-world systems
鈥⒙燚evelop and test agentic software for practical, professional use cases
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Financial aid available,
鹿 Median salary and job opening data are sourced from Lightcast鈩� Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (9/1/2024 - 9/1/2025)