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.
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
Included with 
Get in-depth knowledge of a subject
(481 reviews)
Beginner level
Recommended experience
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(481 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
• How to build and deploy intelligent AI agents using Python, tools, memory, and reasoning.
• How to create custom GPTs and apply prompt engineering techniques for real-world tasks.
• How to design trustworthy, responsible AI systems aligned with best practices.
Overview
Skills you'll gain
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
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
Agentic systems, File Management, Generative AI Agents, Prompt Engineering, Application Development, Prototyping, LLM Application, Software Documentation, OpenAI, and Tool Calling
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 Multi-Agent Collaboration Systems in Python that support sophisticated memory sharing and intelligent coordination
How to implement Trustworthy and Safe Agent Architectures in Python using staged execution, reversible actions, and safety patterns
Skills you'll gain
Agentic systems, Persona Development, Prompt Engineering, Coordination, LLM Application, Application Programming Interface (API), Transaction Processing, Prompt Patterns, Generative AI Agents, Business Logic, Plan Execution, Large Language Modeling, Coordinating, Persona (User Experience), Data Sharing, Tool Calling, and Document Management
What you'll learn
Skills you'll gain
AI Personalization, Test Case, Expense Reports, Responsible AI, Scenario Testing, Artificial Intelligence, Personalized Service, Travel Arrangements, Prompt Engineering, Expense Management, Generative AI, ChatGPT, LLM Application, OpenAI, Productivity Software, and Verification And Validation
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
Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, Creative Problem-Solving, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Productivity, Problem Solving, LLM Application, Creative Thinking, and OpenAI
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
ChatGPT, Problem Solving, Data Analysis, File Management, Data Processing, Data Presentation, Artificial Intelligence, Automation, Information Management, Creativity, Document Management, and Prompt Engineering
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
Generative AI, Ideation, Risk Management Framework, Artificial Intelligence, Human Machine Interfaces, ChatGPT, Prompt Engineering, Verification And Validation, and Responsible AI
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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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:
• Design and implement AI agents using modular, agentic architectures
• Build and deploy agents that use tools, memory, and reasoning
• Create and customize GPT-based assistants with OpenAI tools
• Engineer effective prompts to steer AI behavior and outputs
• Apply principles of trustworthy, responsible AI in real-world systems
• Develop and test agentic software for practical, professional use cases
More questions
Financial aid available,
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (10/1/2024 - 10/1/2025)