Generative AI is transforming industries, and AI agents are at the forefront of this revolution. This specialization teaches you to build practical GenAI applications and intelligent agents using industry-standard tools like ChatGPT API, LangChain, and Hugging Face. You'll progress from API integration basics to advanced RAG applications, gaining hands-on experience with real-world projects. Through 6 comprehensive courses, you'll learn prompt engineering, agent architecture, model selection, and performance optimization. By completion, you'll be equipped to develop AI-powered solutions that automate workflows, analyze data, and solve complex business problems. This program is ideal for Python developers, data scientists, and software engineers ready to add cutting-edge AI capabilities to their skillset and build the next generation of intelligent applications.

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Building GenAI Applications and Agents Specialization
Build AI agents and GenAI applications with Python. Learn to create AI agents and applications using ChatGPT API and LangChain. Python required.



Instructors: Starweaver
Included with
Recommended experience
Recommended experience
What you'll learn
Build AI agents and GenAI applications using ChatGPT API, LangChain, and advanced frameworks like CrewAI and AutoGen.
Design and implement RAG applications that combine LLMs with vector databases for intelligent data analysis and automation.
Select and optimize the right LLM models from Hugging Face based on performance, cost, and specific application requirements.
Overview
Skills you'll gain
What’s included

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August 2025
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
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Specialization - 6 course series
What you'll learn
Skills you'll gain
What you'll learn
Describe the types, functions, and practical applications of AI agents across various industries.
Implement AI agents using advanced tools, applying them to solve real-world problems effectively.
Evaluate AI systems by their performance, addressing limitations, and leveraging collaborative frameworks.
Analyze the ethical and societal implications of AI, creating guidelines for responsible innovation and deployment.
Skills you'll gain
What you'll learn
Apply core principles of AI agent architecture to design a basic agent system
Construct a development environment for building and testing AI agents
Develop a functional AI agent using a chosen framework (e.g., LangChain or AutoGen)
Evaluate and optimize an AI agent's performance through advanced feature integration
Skills you'll gain
What you'll learn
Analyze foundational LangChain principles, emphasizing core architecture and components for a strong base in application development.
Design and implement a basic application utilizing LangChain, demonstrating practical application of the framework in solving real-world problems.
Assess LangChain problem-solving strategies for programming challenges, applying critical thinking to choose the most effective solutions.
Critique LangChain's evolution in the AI landscape, forecasting impacts and innovations for future application development.
Skills you'll gain
What you'll learn
Navigate through the Hugging Face Ecosystem
Comparing Models using various Factors and Practical Considerations
Using a Model from Hugging Face
Determine the most suitable model for a given task by scoring the results from each candidate model on a variety of parameters.
Skills you'll gain
What you'll learn
Demonstrate Large Language Model capabilities in Natural Language based Automations.
Demonstrate the use of RAG Applications in a range of problems they can solve.
Use Vector Databases as a Storage Medium of Language Embeddings in RAG Applications.
Develop RAG Applications using LLM Frameworks, Models and Vector Databases.
Skills you'll gain
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
Yes, while Python experience is required, this specialization starts with AI fundamentals and progressively builds to advanced implementations, making it perfect for developers expanding into GenAI.
You'll gain proficiency in ChatGPT API, LangChain, CrewAI, AutoGen, Hugging Face, vector databases, and RAG frameworks - the essential toolkit for modern AI application development.
This specialization prepares you for roles as AI application developer, GenAI engineer, AI solutions architect, and automation specialist across technology, healthcare, finance, and consulting industries.
More questions
Financial aid available,