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  • Generative Ai

Generative AI Courses

Generative AI courses can help you learn how models create text, images, and other outputs using patterns learned from data. You can build skills in prompt design, model evaluation, and understanding how generative systems behave across tasks. Many courses introduce tools such as Python libraries, APIs, or model interfaces that support experimenting with generation and applying core concepts.

Popular Generative AI Courses and Certifications


  • C

    Coursera

    Generative AI with Vertex AI: Build a customer chatbot

    Skills you'll gain: Cloud API, Google Cloud Platform, Text Mining, Application Programming Interface (API), LLM Application, Large Language Modeling, Generative AI, Prompt Engineering, Natural Language Processing, Jupyter, Python Programming, Classification Algorithms

    ★ 4.1 (7) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Prompt Engineering Generative AI for Marketing & Advertising

    Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Marketing Design, Generative AI, A/B Testing, Marketing Materials, Copywriting, Advertising, Marketing, Advertising Campaigns, ChatGPT, Content Creation, Marketing Effectiveness, Customer Insights

    ★ 4.5 (108) · Beginner · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Large Language Modeling, Data Processing, Data Management, Python Programming, Machine Learning

    ★ 4.4 (51) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    OpenAI for Beginners: AI Assistants for Project Managers

    Skills you'll gain: Generative AI Agents, No-Code Development, Generative AI, Application Deployment, LLM Application, OpenAI, AI Integrations, Project Management, Prompt Engineering

    ★ 3.7 (33) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Business Analysis & Process Management

    Skills you'll gain: Process Analysis, Process Modeling, Business Process, Business Analysis, Process Mapping, Process Management, Process Flow Diagrams, Business Process Modeling, Business Modeling, Stakeholder Management, Stakeholder Analysis, Computer Literacy

    ★ 4.5 (7.6K) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • C

    Coursera

    GenAI Chatbots: Create and Deploy OpenAI-Powered Chatbots

    Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, OpenAI, LLM Application, Dashboard Creation, Large Language Modeling, AI Integrations, Model Deployment, Back-End Web Development, Restful API, Web Development, Web Applications, Interactive Data Visualization, UI Components

    ★ 4.3 (14) · Intermediate · Guided Project · Less Than 2 Hours

    Status: Free Trial
    Free Trial

What brings you to Coursera today?

  • C

    Coursera

    GenAI For Business Analysis: Fine-Tuning LLMs

    Skills you'll gain: Model Evaluation, OpenAI API, Fine-tuning, Model Training, Data Preprocessing, OpenAI, Large Language Modeling, Real Time Data, Data Processing, LLM Application, Data Manipulation, Generative AI, Python Programming, Customer Analysis, Machine Learning, Customer Insights, Customer Complaint Resolution

    ★ 4.1 (12) · Intermediate · Guided Project · Less Than 2 Hours

  • IBM Logo

    Explore what's possible with IBM

    Enroll today
  • C

    Coursera

    Perplexity.AI for Beginners: AI-Powered Search

    Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, AI literacy, Multimodal Prompts, Artificial Intelligence

    ★ 3.6 (21) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Midjourney for Beginners: Craft an Exquisite Piece of AI Art

    Skills you'll gain: AI powered creativity, Prompt Patterns, Generative AI, Prompt Engineering, Prompt Engineering Tools, Content Creation, Graphics Software, AI literacy, Image Quality, Creative Design, Design and Product, Marketing Design

    ★ 4.1 (25) · Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Build a computer vision app with Azure Cognitive Services

    Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Cloud API, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Computing, Software Development

    ★ 4.5 (542) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • S

    Scrimba

    Build an AI Personal Assistant with a Vector Database

    Skills you'll gain: Vector Databases, Web Design and Development, AI Personalization, Web Development, Web Applications, HTML and CSS, Natural Language Processing, Javascript, Database Management, Database Development, LLM Application, Real Time Data

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Create a Superhero Name Generator with TensorFlow

    Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Applied Machine Learning, Machine Learning Methods, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Machine Learning, Deep Learning

    ★ 4.7 (38) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free

What brings you to Coursera today?

1234…11

In summary, here are 10 of our most popular generative ai courses

  • Generative AI with Vertex AI: Build a customer chatbot: Coursera
  • Prompt Engineering Generative AI for Marketing & Advertising: Coursera
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • OpenAI for Beginners: AI Assistants for Project Managers: Coursera
  • Business Analysis & Process Management: Coursera
  • GenAI Chatbots: Create and Deploy OpenAI-Powered Chatbots: Coursera
  • GenAI For Business Analysis: Fine-Tuning LLMs: Coursera
  • Perplexity.AI for Beginners: AI-Powered Search: Coursera
  • Midjourney for Beginners: Craft an Exquisite Piece of AI Art: Coursera
  • Build a computer vision app with Azure Cognitive Services: Microsoft

Frequently Asked Questions about Generative Ai

Generative AI is a type of artificial intelligence that can create new content, such as text, images, code, summaries, or ideas, based on patterns learned from data. In learning settings, it often includes topics like large language models, prompting, responsible use, automation, and business applications. Courses on this page, such as IBM’s Generative AI: Introduction and Applications, Google Cloud’s Introduction to Generative AI, and DeepLearning.AI’s Generative AI for Everyone, can help you build a practical foundation.‎

Generative AI is used by people in many roles, including software developers, data professionals, product managers, marketers, business leaders, educators, and operations teams. Developers may use it to support coding tasks, while leaders may use it to evaluate business use cases, productivity workflows, and responsible adoption. Coursera offers role-focused options such as IBM’s Generative AI for Software Developers, IBM’s Generative AI for Executives and Business Leaders, and Google Cloud’s Generative AI Leader.‎

Helpful starting skills for generative AI include basic digital literacy, comfort using web-based tools, and a general understanding of data, software, or business workflows. You do not always need advanced math or programming to begin, especially with introductory courses designed for broad audiences. Courses like Generative AI for Everyone by DeepLearning.AI and Introduction to Generative AI by Google Cloud can help you learn the core ideas before moving into more technical or role-specific topics.‎

Skills that complement generative AI include prompt writing, critical thinking, data literacy, programming, cloud computing, automation, product management, and responsible AI practices. These skills can help you evaluate outputs, design better workflows, and apply AI tools in a thoughtful way. If you want to connect generative AI to practical work, options like Vanderbilt University’s Generative AI Automation, IBM’s Generative AI Fundamentals, and Google Cloud’s Generative AI Leader can support different learning goals.‎

A good way to start learning generative AI is to begin with an introductory course that explains key concepts, common applications, and responsible use. From there, you can choose a path based on your goals, such as software development, automation, business strategy, or leadership. On Coursera, beginner-friendly starting points include Generative AI for Everyone from DeepLearning.AI, Generative AI: Introduction and Applications from IBM, and Introduction to Generative AI from Google Cloud.‎

Yes. You can start learning generative ai on Coursera for free in two ways:

  1. Preview the first module of many generative ai courses at no cost. This includes video lessons, readings, graded assignments, and Coursera AI (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in generative ai, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Strong beginner courses for generative AI are usually those that explain the basics clearly and do not assume deep technical experience. Good examples on this page include Generative AI for Everyone by DeepLearning.AI, Introduction to Generative AI by Google Cloud, Generative AI: Introduction and Applications by IBM, and Generative AI Fundamentals by IBM. These courses can help you understand what generative AI can do, where it is useful, and how to approach it responsibly before moving into more specialized learning.‎

Generative AI courses typically cover core concepts, common applications, prompt techniques, responsible AI considerations, productivity use cases, and how the technology fits into business or technical workflows. More specialized courses may focus on software development, automation, leadership, or applying AI in organizations. On Coursera, the selection includes broad introductions from IBM, Google Cloud, and DeepLearning.AI, along with focused options like IBM’s Generative AI for Software Developers and Vanderbilt University’s Generative AI Automation.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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