Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Spécialisation Building GenAI Applications and Agents

Spécialisation Building GenAI Applications and Agents

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

Instructeurs : Starweaver

Inclus avec Coursera Plus

Série de 6 cours

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niveau Intermédiaire

Expérience recommandée

1 mois à raison de 10 heures par semaine

Planning flexible

Obtenir une qualification professionnelle

Partagez votre expertise avec les employeurs

Série de 6 cours

Approfondissez votre connaissance d’un sujet

niveau Intermédiaire

Expérience recommandée

1 mois à raison de 10 heures par semaine

Planning flexible

Obtenir une qualification professionnelle

Partagez votre expertise avec les employeurs

Ce que vous apprendrez

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.

Vue d'ensemble

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.

Ce qui est inclus

Certificat partageable

Ajouter à votre profil LinkedIn

Enseigné en Anglais

Récemment mis à jour !

août 2025

15 exercices pratiques

Améliorez votre expertise en la matière

Acquérez des compétences recherchées auprès d’universités et d’experts du secteur
Maîtrisez un sujet ou un outil avec des projets pratiques
Développez une compréhension approfondie de concepts clés
Obtenez un certificat professionnel auprès de Coursera Instructor Network

Spécialisation - série de 6 cours

ChatGPT API for Developers: Integrate AI Effortlessly

COURS 13 heuresVoir le cours

Ce que vous apprendrez

"Hey Siri, what's the weather today?" "Alexa, play my favorite playlist." AI is becoming as common as your morning coffee. Look at what's happening in the real world: Duolingo has transformed how millions learn languages by adding their ChatGPT-powered AI tutor that gives personalized explanations in seconds. Even Snapchat's chatbot "My AI" is having millions of conversations with users every day. The world of AI isn't some far-off sci-fi dream – it's happening right now, and developers like you are at the heart of it. Ready to build something awesome with AI?

This course is unique because it doesn’t just stop at theory. You’ll gain hands-on experience in real-world API tasks, enabling you to build practical applications while learning to balance performance, cost, and API optimization effectively. By completing this course, you'll be able to seamlessly integrate ChatGPT API into your projects, quickly authenticate and configure parameters, analyze responses for improvements, and create practical AI-powered solutions that you can apply the very next day at work. By the end of this 2-hour course, you will be able to: - Explain the fundamental concepts of tokens, models, and rate limits in the context of the ChatGPT API. - Construct basic API calls to ChatGPT using proper authentication and parameters to generate appropriate AI responses for simple use cases. -Differentiate between various ChatGPT API use cases to select the most suitable model and parameters for specific application requirements. -Design effective prompts that optimize ChatGPT API responses for common use cases like content generation and text analysis. To be successful in this course, you should have: -Python installed on your computer. Familiarity with Python is recommended but not mandatory. -A free subscription to the OpenAI API. -A background in basic programming concepts and experience working with APIs. And to help you master these concepts, each lesson includes a practice quiz. You will also have a hands-on coding exercise to reinforce your learning and a final graded assessment that tests your ability to apply these skills in real-world scenarios. Want to get the most out of this course? Here's your blueprint for success: -Code along with the lessons—don't just watch. -Test your API calls with different parameters. -Keep track of your API usage and costs. -Document your error messages and solutions. -Complete all practice exercises before moving to the next lesson. Remember, this isn't just about passing a quiz—it's about building real-world skills you can use immediately. Take your time with the exercises, experiment with different approaches, and don't hesitate to revisit lessons when needed.

Compétences que vous acquerrez

Application Programming Interface (API), Authentications, Prompt Engineering, Performance Tuning, OpenAI, Key Management, ChatGPT, Debugging et Large Language Modeling

Building AI Agents: Automation and NLP Foundations

COURS 24 heures4.5 (19 évaluations)Voir le cours

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Agentic systems, Artificial Intelligence, Generative AI Agents, Responsible AI, Generative AI, Innovation, OpenAI, Business Process Automation, Automation, Prompt Engineering Tools, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, LangChain, Performance Testing, Tool Calling, ChatGPT, Large Language Modeling et LLM Application

Implementation of GenAI Agents

COURS 34 heures4.5 (23 évaluations)Voir le cours

Ce que vous apprendrez

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

Compétences que vous acquerrez

Performance Tuning, Generative AI Agents, LLM Application, OpenAI, Development Environment, Design, LangChain, Artificial Intelligence, Scalability, Virtual Environment, Performance Testing, Agentic systems, Programming Principles et Generative AI

LangChain: Application Development Essentials

COURS 44 heures3.3 (31 évaluations)Voir le cours

Ce que vous apprendrez

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.

Compétences que vous acquerrez

LangChain, Application Development, Generative AI, Prompt Engineering, Artificial Intelligence, Natural Language Processing, Large Language Modeling et LLM Application

Selecting the Right LLM with Hugging Face

COURS 54 heuresVoir le cours

Ce que vous apprendrez

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.

Compétences que vous acquerrez

LLM Application, Large Language Modeling, Generative Model Architectures, Machine Learning Methods, Prompt Engineering et Applied Machine Learning

Introduction to Retrieval Augmented Generation (RAG)

COURS 64 heures4.3 (17 évaluations)Voir le cours

Ce que vous apprendrez

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.

Compétences que vous acquerrez

LangChain, Large Language Modeling, Generative AI Agents, Tool Calling, ChatGPT, LLM Application, Google Gemini, Prompt Engineering et OpenAI

Obtenez un certificat professionnel

Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.

Instructeurs

Starweaver

Coursera Instructor Network

448 Cours845 372 apprenants

Ritesh Vajariya

Coursera Instructor Network

17 Cours8 315 apprenants

Manas Dasgupta

Coursera Instructor Network

10 Cours8 893 apprenants

Soheil Haddadi, Reza Moradinezhad

Coursera Instructor Network

11 Cours11 142 apprenants

Sonali Sen Baidya

Coursera Instructor Network

3 Cours5 120 apprenants

Offert par

Coursera Instructor Network

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Foire Aux 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.